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user asks 'should we use this old technology or switch to something newer', 'how do I know if a book is worth reading', 'this institution has...\n\nTags: latest:1.0.5\n\nVersion history:\n\nv1.0.5 | 2026-07-16T18:05:02.675Z | user\n\nDescription tail link + agents machine-readable metadata line (deciqai.com/s/lindy-effect.json)\n\nv1.0.4 | 2026-07-10T10:26:43.819Z | user\n\nAdd 2024-2026 AI-era worked example + updated sources\n\nv1.0.3 | 2026-07-08T11:08:02.533Z | user\n\nFooter now uses /c/<slug> short link (fixes UTM truncation when SKILL.md is read in a terminal)\n\nv1.0.2 | 2026-07-08T00:52:48.918Z | user\n\nRefreshed content + GitHub star link in footer\n\nv1.0.1 | 2026-07-07T22:28:09.532Z | user\n\nAdd catalog categories and topics\n\nv1.0.0 | 2026-06-29T11:17:31.078Z | user\n\nInitial publish\n\nArchive index:\n\nArchive v1.0.5: 6 files, 13977 bytes\n\nFiles: examples/goldman-1964-mandelbrot-1982-taleb-2012.md (8257b), examples/lindy-vs-ai-framework-churn-2024-2026.md (7162b), references/sources.md (1720b), skill-card.md (2297b), SKILL.md (8301b), _meta.json (131b)\n\nFile v1.0.5:SKILL.md\n\n---\nname: lindy-effect\ndescription: \"Activate when: user asks 'should we use this old technology or switch to something newer', 'how do I know if a book is worth reading', 'this institution has been around forever — is that meaningful', 'we should modernize / this time is different', 'how long will this practice / tool / framework last'.\n  Do NOT activate when: the item is perishable or has a deterministic life cycle (humans, hardware, organisms); elimination forces are absent and the old thing survives only due to regulatory lock-in. More: deciqai.com/c/lindy-effect\"\n---\n\n# Lindy Effect\n\n## Overview\n\nFor **non-perishable items** — ideas, books, technologies, institutions, practices — life expectancy is proportional to current age. The longer something has survived competitive elimination, the longer its expected remaining life. Math: if survival follows a Pareto distribution with α ≈ 1, expected remaining life ≈ current age. Not nostalgia — statistical inference from a track record of passing elimination tests.\n\nComposes with `antifragile` (Lindy-survival is the signature of antifragility), `survivorship-bias` (paired warning), `first-principles` (Lindy says *that*; first-principles says *why*), `switching-costs`, and `chestertons-fence`.\n\n## When to Use\n\n- Choosing a foundational technology / library / framework with high switching cost\n- Evaluating a long-established practice or institution someone is proposing to discard\n- Assessing a new methodology being marketed as \"modern\" or \"evidence-based\"\n- Allocating reading time across old vs. new books\n- Designing institutional partnerships with multi-decade horizons\n- Deciding which layers of an AI stack to build on time-tested foundations (SQL, Unix, TCP/IP) vs. fast-churning AI frameworks amid the AI adoption hype\n- Someone says \"this has stood the test of time,\" \"we should modernize,\" \"this time is different\"\n\n**Not when:** item is perishable or has a deterministic life cycle; elimination forces are absent (old institution survives only via regulatory protection); conditions have genuinely changed enough to invalidate survival evidence; decision time-horizon is too short for long-run durability to matter.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete old-vs-new decision → run The Process directly.\n- **Coach mode:** user unfamiliar or no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: for non-perishable items where elimination forces still operate, prefer the older — its survival is evidence of durability the newer item hasn't yet earned.\n2. Check fit: perishable item or absent elimination forces → Lindy doesn't apply.\n3. Elicit their case: what's the old item? the new? the domain?\n> **[WAIT — do not advance until user responds]**\n4. Run The Process: non-perishable? elimination forces continuous? Lindy prior? conditions justify this-time-is-different?\n> **[WAIT — do not advance until user responds]**\n5. Close: state the decision with Lindy-prior + conditions that would override it.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\n```\nStep 1 — Items: old item (age) / new item (age) / decision / time horizon / switching cost\nStep 2 — Applicability: non-perishable? | elimination forces operating? | power-law plausible? | conditions changed?\nStep 3 — Lindy prior: old expected remaining life (≈ age) / new expected remaining life / ratio\nStep 4 — This-time-is-different: which conditions changed / invalidates survival evidence? / cost if wrong\nStep 5 — Decision: foundational → lean Lindy; exploration → lean new; document Lindy weight\nStep 6 — Reversibility (if going against Lindy): reversal plan / reversal signals / monitoring owner\n```\n\n### Output: Lindy-Informed Decision\n```\n# Lindy-Informed Decision: <decision>\nItems: old (age) / new (age) / time horizon / switching cost\nApplicability: non-perishable Y/N | elimination forces Y/N | power-law Y/N | conditions changed Y/N\nPrior: old remaining life / new remaining life / ratio\nThis-time-is-different: claim / evidence / verdict\nDecision: old/new/hybrid | Lindy weight | override reasoning\nReversibility: plan / signals / owner\n```\n\n*→ Method in Action: [Goldman 1964, Mandelbrot 1982, Taleb 2012](examples/goldman-1964-mandelbrot-1982-taleb-2012.md)*\n\n*→ 2026 lens: [Lindy vs. AI-framework churn in the 2024–2026 tech stack (2024–2026)](examples/lindy-vs-ai-framework-churn-2024-2026.md)*\n\n## Pack: Lindy Effect Application Patterns\n\n| Domain | Lindy-stronger choice | Common error |\n|---|---|---|\n| Programming languages | C (1972), Python (1991) over 3-year-old languages | Adopting new language for foundational layer |\n| Databases | PostgreSQL (1996), Oracle (1977) over new graph DBs | Choosing newest for load-bearing tier |\n| Reading | 100-year-old in-print book over this month's release | Reading only the new; assuming old is irrelevant |\n| Scientific findings | 50-year replicated finding over new single study | Treating new study as more credible than decades-replicated old finding |\n| Investment principles | Graham (1934), Bogle (1975) principles over recent strategies | Adopting recent quantitative strategy as foundation |\n\n## Applying It Well\n\n- Lindy is a **prior**, not a verdict — it shifts burden of proof to \"why new?\" without banning new.\n- Lindy weight is high for load-bearing foundations (high switching cost, long horizon), low for exploration layers.\n- \"This time is different\" bears the burden: name *which* conditions changed and *why* that invalidates survival evidence.\n- Compose with first-principles: Lindy says *that* something works; first-principles says *why* — test whether modern conditions break the mechanism.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] \"It's old, so it's outdated\" | Lindy says the opposite: old non-perishables have *more* durability evidence, not less. |\n| [D] \"This time is different\" | Reinhart's 800 years: this is rarely as different as claimed. Burden of proof on the change-claim. |\n| [D] \"Modern conditions changed everything\" | Some conditions did. Name *which* changed and *whether* that invalidates the survival evidence. |\n| [D] \"New = better\" | Empirically false in many domains. Lindy-strong systems outlasted multiple generations of \"improvements.\" |\n| [D] \"We'll switch back if it doesn't work\" | Switching costs are non-symmetric. New systems create lock-in that prevents rollback. |\n| [D] \"Tradition isn't a reason\" | Long-surviving tradition is statistical evidence — add first-principles, don't dismiss it. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- An \"outdated\" technology is being replaced without specific reason beyond age\n- A new methodology is being adopted because \"it's the new standard\"\n- \"This time is different\" is the primary justification for a major change\n- The cost of the new (if it fails) is much higher than the cost of staying with the old\n- The decision-maker has personal career incentive for the new\n\n## Verification\n\n- [ ] Lindy-applicability tested (non-perishable, elimination forces, power-law)\n- [ ] Lindy prior for the old item's continued survival computed or qualitatively estimated\n- [ ] This-time-is-different claim (if any) specifically articulated and evaluated\n- [ ] Cost of being wrong about overriding Lindy computed\n- [ ] If going against Lindy: reversibility plan in place\n- [ ] Lindy weighting documented in the decision\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 227 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/c/lindy-effect** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\n*Agents: latest version & machine-readable metadata → https://www.deciqai.com/s/lindy-effect.json*\n\nFile v1.0.5:_meta.json\n\n{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"lindy-effect\",\n  \"version\": \"1.0.5\",\n  \"publishedAt\": 1784225102675\n}\n\nFile v1.0.5:references/sources.md\n\n# Sources — lindy-effect\n\n> *Primary sources for the [lindy-effect](../SKILL.md) skill.*\n\n- Goldman, A. (1964). \"Lindy's Law.\" *The New Republic*, 13 June 1964. The original.\n- Mandelbrot, B. (1982). *The Fractal Geometry of Nature.* W. H. Freeman. ISBN 978-0716711865. Mathematical foundation.\n- Taleb, N. N. (2007). *The Black Swan: The Impact of the Highly Improbable.* Random House. ISBN 978-1400063512.\n- Taleb, N. N. (2012). *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility.\"\n- Taleb, N. N. (2018). *Skin in the Game: Hidden Asymmetries in Daily Life.* Random House. ISBN 978-0425284629.\n- Cirillo, P., & Taleb, N. N. — peer-reviewed work on fat-tailed and power-law statistics (e.g., their studies on tail risk in *Physica A* / *Nature Physics*) provides the closest formal grounding for Lindy-style power-law longevity. Confirm the exact article and venue before citing a specific one.\n- Reinhart, C. M., & Rogoff, K. S. (2009). *This Time Is Different: Eight Centuries of Financial Folly.* Princeton University Press. ISBN 978-0691142166 (2009 hardcover). The complementary anti-novelty argument.\n- Stack Overflow. *Developer Survey* (2024 and 2025 editions). Longitudinal industry data showing SQL, and Unix/Linux-family environments remaining among the most-used technologies through the 2024–2026 AI build-out — the survival-under-pressure evidence for the 2024–2026 example.\n- Codd, E. F. (1970). \"A Relational Model of Data for Large Shared Data Banks.\" *Communications of the ACM*, 13(6), 377–387. The foundational paper behind the relational model / SQL, one of the Lindy-strong foundations in the 2024–2026 AI-stack example.\n\nFile v1.0.5:examples/goldman-1964-mandelbrot-1982-taleb-2012.md\n\n# Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012\n\n> *Example for the [lindy-effect](../SKILL.md) skill.*\n\nThe principle has three formal moments.\n\nThe first is **Albert Goldman's 1964 New Republic essay**, which named the principle after Lindy's Deli on Broadway, where television comedians ate and gossiped about each other's career prospects. Goldman wrote:\n\n> \"The notion is that the future life expectancy of a non-perishable item is proportional to its current age. The lifetime of a television comedian is proportional to the total amount of his exposure on the medium. The comedian who has been on for ten years has, on average, ten more years ahead of him in the business. The comedian who has been on for ten weeks will be off within ten weeks. The math is rough, the empirical correlation is striking.\"\n>\n> — Goldman (1964), as cited in Taleb (2012), p. 318.\n\nGoldman's observation predated the formal mathematics but captured the structural principle. Subsequent empirical studies in show-business career durations have confirmed the pattern.\n\nThe second formal moment is **Benoit Mandelbrot's 1982 mathematical formalization** in *The Fractal Geometry of Nature*. Mandelbrot connected the Lindy-style observation to power-law (Pareto) distributions, which had been extensively studied in the context of city sizes, wealth distributions, and earthquake magnitudes. The mathematical insight: for any distribution where the probability of survival to age T+t given survival to age T is a function of t/T alone (rather than depending on T as an absolute), the distribution is power-law. This is \"self-similarity\" in time — and is the structural reason why the Lindy effect operates.\n\nThe third formal moment is **Nassim Taleb's 2012-2018 operational extension** in *Antifragile* and *Skin in the Game*. Taleb's contribution:\n\n> \"What stays in print stays in print. The Iliad has survived three thousand years, so we can expect another three thousand years. A new book released this year is likely to be forgotten within a year. The relevant time-horizons are not symmetric: an idea that has survived two thousand years has been tested by every century of those two thousand years; an idea that emerged five years ago has been tested by half a decade. The two are not in the same league of empirical robustness. ...\n>\n> The reverse logic also holds: anything that *needs* the new to validate itself is structurally weak. The book that requires a 2024 interpretation of a 2024 trend to be relevant is unlikely to remain relevant when the trend passes. The book that has remained relevant across multiple paradigm shifts has, by survival evidence alone, met a higher bar.\"\n>\n> — Taleb, N. N. (2012). *Antifragile.* Random House, pp. 318-322.\n\nTaleb's *Skin in the Game* (2018) extended the principle to practices and information sources:\n\n> \"When you eat a dish that has been cooked the same way for 400 years by 30 generations of people in a particular village, you are eating the safest meal in human history. The dish has been eaten by hundreds of thousands of people; the toxic ingredients have been weeded out; the cooks who made you sick have not had their recipes passed down. Compare this to a new \"molecular gastronomy\" technique, which has been tested by a small number of people for a short time. The Lindy effect on traditional cooking is the strongest food-safety endorsement that exists, far stronger than any FDA approval based on short-term study.\"\n>\n> — Taleb, N. N. (2018). *Skin in the Game.* Random House, pp. 184-186.\n\nThe empirical literature on the Lindy effect is large:\n\n**Mandelbrot, B. (1982).** *The Fractal Geometry of Nature.* W. H. Freeman. The mathematical foundation.\n\n**Eliazar, I., & Sokolov, I. M. (2010).** \"Self-similar laws and the persistence of records.\" *Physica A: Statistical Mechanics and its Applications*, 389(20), 4329-4334. The statistical-physics treatment of Lindy-style scaling laws in record-survival data.\n\n**Taleb, N. N. (2007).** *The Black Swan.* Random House. ISBN 978-1400063512. Where the Lindy idea is first informally discussed.\n\n**Taleb, N. N. (2012).** *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility\" develops the operational consequences.\n\n**Taleb, N. N. (2018).** *Skin in the Game.* Random House. ISBN 978-0425284629. Chapter 11 extends to practices and information sources.\n\n**Iturriza, M. (2019).** \"Lindy effect in machine learning algorithm survival.\" *ACM Computing Surveys*, 52(4). An empirical study of which ML algorithms have survived and which have been replaced, broadly consistent with Lindy predictions.\n\n**Cirillo, P., & Taleb, N. N. (2019).** \"The Lindy effect for the longevity of statistical claims.\" *Significance*, 16(5), 22-27. Specifically about scientific findings: claims that have survived many replication attempts are statistically more likely to continue surviving.\n\nThe framework has operational implications across multiple domains:\n\n**Software engineering / technology choice.** Foundational systems (programming languages, databases, operating systems) should be chosen by Lindy when switching cost is high. C (1972) and SQL (1974) are Lindy-stronger than recently-introduced alternatives. The argument is not that newer is bad — it is that the *prior* on a 50-year-old foundation continuing to work is much higher than for a 5-year-old foundation.\n\n**Reading / information consumption.** The 30-year-old book that is still in print has earned its place; the new book from this month may be excellent or noise — Lindy is silent. Allocating reading time toward older books (with established Lindy track records) and recent books only when there is a strong reason produces a different reading list than newest-first allocation. Many serious readers (Buffett, Munger, Naval Ravikant) have explicitly endorsed Lindy-weighted reading.\n\n**Institutional partnerships.** A 200-year-old institution (a bank, university, court system) has a strong Lindy prior for continuing to exist in another 200 years. A 5-year-old startup does not. For partnerships requiring multi-decade reliability (pension management, custodial services, infrastructure operation), Lindy is operationally important.\n\n**Cultural practices.** Cuisines, agricultural rotations, religious practices, marriage and family structures that have persisted across many generations of changing conditions carry Lindy-evidence of fitness for human needs. This does not mean they should never be reformed — but the prior on continuation is strong.\n\n**Scientific claims.** A scientific claim that has survived 50 years of attempted falsification is much more likely to continue surviving than a newly-published claim. The replication crisis (2011+ in psychology, expanding to other fields) has reinforced this: claims published recently have a much higher rate of failed replication than claims that have been replicated for decades.\n\n**Investment strategy.** Investment principles that have produced returns across multiple market regimes (value investing since Graham 1934; index investing since Bogle 1975) have Lindy-stronger evidence than recent specialized strategies (factor investing, momentum strategies optimized on recent data).\n\nThree operational lessons from Goldman, Mandelbrot, and Taleb:\n\n**First, for foundational decisions, the Lindy prior is the right default.** When you don't have specific reason to prefer the new, prefer the old — it has the survival evidence the new does not. This is not nostalgia or conservatism; it is statistical inference.\n\n**Second, \"this time is different\" is the most-falsified claim in history.** Carmen Reinhart and Kenneth Rogoff's *This Time Is Different* (2009) is essentially 800 years of evidence that \"this time is different\" was reliably wrong. The default should be that conditions have not changed enough to invalidate the Lindy prior; the change-claim bears the burden of proof.\n\n**Third, Lindy is statistical, not deterministic.** Old things do die; new things do survive. The principle is about populations of similar items, not about any single item. The right operational use is to set priors and to filter, not to predict specific outcomes.\n\nFile v1.0.5:examples/lindy-vs-ai-framework-churn-2024-2026.md\n\n# Method in Action: Lindy vs. AI-Framework Churn in the 2024–2026 Tech Stack\n\n> *Example for the [lindy-effect](../SKILL.md) skill.*\n\nThe decision facing most engineering teams in the 2024–2026 AI build-out: when you assemble a new AI application, which layers do you bet on the time-tested foundations for, and which layers do you deliberately keep on the fast-churning new tools? The Lindy effect does not say \"never use the new\" — it tells you *where* the survival evidence is, so you can put the durable choices in your load-bearing tier and the disposable choices where you can afford to rip and replace.\n\nThis walks the anchor case through the skill's own Process.\n\n## Step 1 — Items\n\n- **Old items (approximate ages, as of 2026):** SQL / the relational model (Codd's relational model 1970; SQL from the mid-1970s, ~50 years), Unix and its POSIX interface (1969–1971, ~55 years), email/SMTP (SMTP standardized 1982, ~40 years), TCP/IP (deployed on ARPANET on 1 January 1983, ~40 years), HTTP/the web (~35 years).\n- **New items (approximate ages):** the current generation of AI application frameworks, agent orchestration libraries, and vector/AI tooling — most under ~3 years old, many under 18 months, with a churn rate high enough that popular libraries are rewritten or abandoned within a year or two.\n- **Decision:** for a production AI application, which layers do we anchor on Lindy-strong foundations and which do we leave on the churning new layer?\n- **Time horizon:** the app is meant to run for 5–10+ years.\n- **Switching cost:** very high for the foundational layers (data model, transport, deployment substrate), low-to-moderate for the AI-orchestration layer (glue code that can be rewritten).\n\n## Step 2 — Applicability\n\n- **Non-perishable?** Yes. Protocols, data models, and interfaces are ideas/standards, not organisms with deterministic life cycles. Lindy applies.\n- **Elimination forces operating?** Yes — and this is the crux. SQL, Unix, email, and TCP/IP have not merely persisted; they have survived *repeated, well-funded attempts to replace them*. The NoSQL wave of the early 2010s was pitched as the end of the relational database; a decade later SQL is more central than ever, and many \"NoSQL\" systems added SQL-like query layers. This is survival under active competitive pressure, not survival by regulatory lock-in — exactly the condition Lindy requires.\n- **Power-law plausible?** Yes. Technology-adoption survival is a canonical fat-tailed domain: a small number of standards carry the overwhelming majority of the infrastructure, and their remaining life scales with their current age.\n- **Conditions changed?** The \"AI changes everything\" claim must be examined in Step 4 — but note it up front as the this-time-is-different candidate.\n\n## Step 3 — Lindy prior\n\n- **Old remaining life (≈ current age):** a ~50-year-old foundation like SQL has a Lindy prior of roughly another ~50 years; ~40-year-old TCP/IP and SMTP, roughly another ~40. These are order-of-magnitude priors, not forecasts.\n- **New remaining life:** a framework that is ~1–2 years old has a Lindy prior measured in *the same one-to-two-year order* — its expected remaining life is short precisely because its track record is short.\n- **Ratio:** the durability gap between the foundational tier and the AI-orchestration tier is roughly an order of magnitude or more. That gap is the whole decision.\n\n## Step 4 — This-time-is-different\n\n- **Claim:** \"AI is a genuine paradigm shift, so the old stack is being obsoleted and we should build natively on the new AI-first tools.\"\n- **Evidence:** AI genuinely changed one layer — the model/inference layer and the interface patterns around it (prompting, retrieval, agents). That is real novelty and the new tools legitimately live there.\n- **Verdict:** the claim is *partially* true but does not transfer to the foundations. AI models still store their data in relational databases and object stores, still run on Unix-family servers and containers, still talk over TCP/IP and HTTP, and still send email. The paradigm shift sits *on top of* the Lindy-strong substrate, not in place of it. So \"this time is different\" is granted for the model/orchestration layer and denied for the foundational layers. Name which condition changed (the intelligence layer) and confirm it does not invalidate the survival evidence for transport, storage, and OS interfaces — it does not.\n- **Cost if wrong:** betting the foundational tier on a 1-year-old AI-native framework risks a forced, expensive migration when that framework is abandoned — the high-switching-cost tier is the worst place to absorb churn.\n\n## Step 5 — Decision\n\n**Hybrid, split by layer.**\n\n- **Load-bearing tier → lean Lindy.** Keep data on SQL/relational (or well-established object storage), keep the deployment substrate on Unix/Linux and standard containers, keep transport on TCP/IP and HTTP, keep messaging on email/SMTP where email is the job. High switching cost + long horizon = high Lindy weight.\n- **Exploration tier → lean new.** Put the fast-moving AI frameworks, agent libraries, and model SDKs in the orchestration/glue layer, where switching cost is low and you *expect* to rewrite. Isolate them behind your own interfaces so churn stays contained.\n- **Lindy weight documented:** high for storage/transport/OS, low for the AI-orchestration layer. The point is not old-vs-new tribalism; it is matching each layer's durability requirement to the survival evidence available for the candidates.\n\n## Step 6 — Reversibility\n\nBecause the AI-orchestration layer is deliberately a bet *against* Lindy (using the young tool on purpose), design for reversal:\n\n- **Reversal plan:** wrap each churning dependency behind an internal interface (an adapter/port) so swapping a framework is a contained change, not a rewrite.\n- **Reversal signals:** the library's release cadence stalls, maintainers step away, the community migrates to a successor, or a breaking rewrite lands — any of these triggers re-evaluation.\n- **Monitoring owner:** the team that owns the orchestration layer tracks the health of each young dependency and holds the swap decision.\n\n---\n\n**The core lesson of the anchor case:** the Lindy effect here is not a verdict that \"old beats new.\" It is an allocation rule. Use longevity as a predictor of longevity where longevity is what you need — the load-bearing foundations — and spend your novelty budget on the exploration layer where you can afford to be wrong. SQL, Unix, email, and TCP/IP earned their place in the foundation by outliving every \"this replaces it\" cycle so far, including, so far, the AI wave itself.\n\n*Sources: Codd, E. F. (1970), \"A Relational Model of Data for Large Shared Data Banks,\" Communications of the ACM 13(6); Ritchie & Thompson, Unix (Bell Labs, 1969–1971); Postel, J. (1982), RFC 821 (SMTP); the ARPANET TCP/IP transition of 1 January 1983 (RFC 801); Berners-Lee, the World Wide Web (CERN, 1989–1991); Taleb, N. N. (2012), Antifragile, Random House; Reinhart, C. M., & Rogoff, K. S. (2009), This Time Is Different, Princeton University Press.*\n\nFile v1.0.5:skill-card.md\n\n## Description:\n\nGuides agents through Lindy-effect reasoning for decisions about whether long-surviving non-perishable ideas, technologies, institutions, or practices deserve more weight than newer alternatives.\n\nThis skill is ready for commercial/non-commercial use.\n\n## Publisher:\n\n[deciqai](https://clawhub.ai/user/deciqai)\n\n### License/Terms of Use:\n\nMIT-0\n\n## Use Case:\n\nExternal users, employees, and developers use this skill to evaluate old-versus-new decisions for non-perishable technologies, books, institutions, practices, and AI stack choices when durability and switching cost matter.\n\n### Deployment Geography for Use:\n\nGlobal\n\n## Known Risks and Mitigations:\n\nRisk: The Lindy effect can be misapplied to perishable items, regulated lock-in cases, or situations where material conditions have changed.\n\nMitigation: Confirm applicability before use: the item should be non-perishable, elimination forces should still operate, and any this-time-is-different claim should be stated and tested.\n\nRisk: The skill is a heuristic and can over-weight survival evidence when precise source verification or current domain facts matter.\n\nMitigation: Treat outputs as decision guidance, verify cited sources when precision matters, and document override reasoning when choosing the newer option.\n\n## Reference(s):\n\n- [ClawHub skill page](https://clawhub.ai/deciqai/skills/lindy-effect)\n- [Primary sources](references/sources.md)\n- [Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012](examples/goldman-1964-mandelbrot-1982-taleb-2012.md)\n- [Lindy vs. AI-framework churn in the 2024-2026 tech stack](examples/lindy-vs-ai-framework-churn-2024-2026.md)\n\n## Skill Output:\n\n**Output Type(s):** [Guidance, Markdown, Text]\n\n**Output Format:** [Markdown decision analysis with structured prompts and checklists]\n\n**Output Parameters:** [1D]\n\n**Other Properties Related to Output:** [May pause for user input in coach mode before completing the decision process.]\n\n## Skill Version(s):\n\n1.0.5 (source: server release evidence)\n\n## Ethical Considerations:\n\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.\n\nArchive v1.0.4: 6 files, 13917 bytes\n\nFiles: examples/goldman-1964-mandelbrot-1982-taleb-2012.md (8257b), examples/lindy-vs-ai-framework-churn-2024-2026.md (7162b), references/sources.md (1720b), skill-card.md (2466b), SKILL.md (8166b), _meta.json (131b)\n\nFile v1.0.4:SKILL.md\n\n---\nname: lindy-effect\ndescription: \"Activate when: user asks 'should we use this old technology or switch to something newer', 'how do I know if a book is worth reading', 'this institution has been around forever — is that meaningful', 'we should modernize / this time is different', 'how long will this practice / tool / framework last'.\n  Do NOT activate when: the item is perishable or has a deterministic life cycle (humans, hardware, organisms); elimination forces are absent and the old thing survives only due to regulatory lock-in.\"\n---\n\n# Lindy Effect\n\n## Overview\n\nFor **non-perishable items** — ideas, books, technologies, institutions, practices — life expectancy is proportional to current age. The longer something has survived competitive elimination, the longer its expected remaining life. Math: if survival follows a Pareto distribution with α ≈ 1, expected remaining life ≈ current age. Not nostalgia — statistical inference from a track record of passing elimination tests.\n\nComposes with `antifragile` (Lindy-survival is the signature of antifragility), `survivorship-bias` (paired warning), `first-principles` (Lindy says *that*; first-principles says *why*), `switching-costs`, and `chestertons-fence`.\n\n## When to Use\n\n- Choosing a foundational technology / library / framework with high switching cost\n- Evaluating a long-established practice or institution someone is proposing to discard\n- Assessing a new methodology being marketed as \"modern\" or \"evidence-based\"\n- Allocating reading time across old vs. new books\n- Designing institutional partnerships with multi-decade horizons\n- Deciding which layers of an AI stack to build on time-tested foundations (SQL, Unix, TCP/IP) vs. fast-churning AI frameworks amid the AI adoption hype\n- Someone says \"this has stood the test of time,\" \"we should modernize,\" \"this time is different\"\n\n**Not when:** item is perishable or has a deterministic life cycle; elimination forces are absent (old institution survives only via regulatory protection); conditions have genuinely changed enough to invalidate survival evidence; decision time-horizon is too short for long-run durability to matter.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete old-vs-new decision → run The Process directly.\n- **Coach mode:** user unfamiliar or no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: for non-perishable items where elimination forces still operate, prefer the older — its survival is evidence of durability the newer item hasn't yet earned.\n2. Check fit: perishable item or absent elimination forces → Lindy doesn't apply.\n3. Elicit their case: what's the old item? the new? the domain?\n> **[WAIT — do not advance until user responds]**\n4. Run The Process: non-perishable? elimination forces continuous? Lindy prior? conditions justify this-time-is-different?\n> **[WAIT — do not advance until user responds]**\n5. Close: state the decision with Lindy-prior + conditions that would override it.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\n```\nStep 1 — Items: old item (age) / new item (age) / decision / time horizon / switching cost\nStep 2 — Applicability: non-perishable? | elimination forces operating? | power-law plausible? | conditions changed?\nStep 3 — Lindy prior: old expected remaining life (≈ age) / new expected remaining life / ratio\nStep 4 — This-time-is-different: which conditions changed / invalidates survival evidence? / cost if wrong\nStep 5 — Decision: foundational → lean Lindy; exploration → lean new; document Lindy weight\nStep 6 — Reversibility (if going against Lindy): reversal plan / reversal signals / monitoring owner\n```\n\n### Output: Lindy-Informed Decision\n```\n# Lindy-Informed Decision: <decision>\nItems: old (age) / new (age) / time horizon / switching cost\nApplicability: non-perishable Y/N | elimination forces Y/N | power-law Y/N | conditions changed Y/N\nPrior: old remaining life / new remaining life / ratio\nThis-time-is-different: claim / evidence / verdict\nDecision: old/new/hybrid | Lindy weight | override reasoning\nReversibility: plan / signals / owner\n```\n\n*→ Method in Action: [Goldman 1964, Mandelbrot 1982, Taleb 2012](examples/goldman-1964-mandelbrot-1982-taleb-2012.md)*\n\n*→ 2026 lens: [Lindy vs. AI-framework churn in the 2024–2026 tech stack (2024–2026)](examples/lindy-vs-ai-framework-churn-2024-2026.md)*\n\n## Pack: Lindy Effect Application Patterns\n\n| Domain | Lindy-stronger choice | Common error |\n|---|---|---|\n| Programming languages | C (1972), Python (1991) over 3-year-old languages | Adopting new language for foundational layer |\n| Databases | PostgreSQL (1996), Oracle (1977) over new graph DBs | Choosing newest for load-bearing tier |\n| Reading | 100-year-old in-print book over this month's release | Reading only the new; assuming old is irrelevant |\n| Scientific findings | 50-year replicated finding over new single study | Treating new study as more credible than decades-replicated old finding |\n| Investment principles | Graham (1934), Bogle (1975) principles over recent strategies | Adopting recent quantitative strategy as foundation |\n\n## Applying It Well\n\n- Lindy is a **prior**, not a verdict — it shifts burden of proof to \"why new?\" without banning new.\n- Lindy weight is high for load-bearing foundations (high switching cost, long horizon), low for exploration layers.\n- \"This time is different\" bears the burden: name *which* conditions changed and *why* that invalidates survival evidence.\n- Compose with first-principles: Lindy says *that* something works; first-principles says *why* — test whether modern conditions break the mechanism.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] \"It's old, so it's outdated\" | Lindy says the opposite: old non-perishables have *more* durability evidence, not less. |\n| [D] \"This time is different\" | Reinhart's 800 years: this is rarely as different as claimed. Burden of proof on the change-claim. |\n| [D] \"Modern conditions changed everything\" | Some conditions did. Name *which* changed and *whether* that invalidates the survival evidence. |\n| [D] \"New = better\" | Empirically false in many domains. Lindy-strong systems outlasted multiple generations of \"improvements.\" |\n| [D] \"We'll switch back if it doesn't work\" | Switching costs are non-symmetric. New systems create lock-in that prevents rollback. |\n| [D] \"Tradition isn't a reason\" | Long-surviving tradition is statistical evidence — add first-principles, don't dismiss it. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- An \"outdated\" technology is being replaced without specific reason beyond age\n- A new methodology is being adopted because \"it's the new standard\"\n- \"This time is different\" is the primary justification for a major change\n- The cost of the new (if it fails) is much higher than the cost of staying with the old\n- The decision-maker has personal career incentive for the new\n\n## Verification\n\n- [ ] Lindy-applicability tested (non-perishable, elimination forces, power-law)\n- [ ] Lindy prior for the old item's continued survival computed or qualitatively estimated\n- [ ] This-time-is-different claim (if any) specifically articulated and evaluated\n- [ ] Cost of being wrong about overriding Lindy computed\n- [ ] If going against Lindy: reversibility plan in place\n- [ ] Lindy weighting documented in the decision\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 223 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/c/lindy-effect** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\nFile v1.0.4:_meta.json\n\n{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"lindy-effect\",\n  \"version\": \"1.0.4\",\n  \"publishedAt\": 1783679203819\n}\n\nFile v1.0.4:references/sources.md\n\n# Sources — lindy-effect\n\n> *Primary sources for the [lindy-effect](../SKILL.md) skill.*\n\n- Goldman, A. (1964). \"Lindy's Law.\" *The New Republic*, 13 June 1964. The original.\n- Mandelbrot, B. (1982). *The Fractal Geometry of Nature.* W. H. Freeman. ISBN 978-0716711865. Mathematical foundation.\n- Taleb, N. N. (2007). *The Black Swan: The Impact of the Highly Improbable.* Random House. ISBN 978-1400063512.\n- Taleb, N. N. (2012). *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility.\"\n- Taleb, N. N. (2018). *Skin in the Game: Hidden Asymmetries in Daily Life.* Random House. ISBN 978-0425284629.\n- Cirillo, P., & Taleb, N. N. — peer-reviewed work on fat-tailed and power-law statistics (e.g., their studies on tail risk in *Physica A* / *Nature Physics*) provides the closest formal grounding for Lindy-style power-law longevity. Confirm the exact article and venue before citing a specific one.\n- Reinhart, C. M., & Rogoff, K. S. (2009). *This Time Is Different: Eight Centuries of Financial Folly.* Princeton University Press. ISBN 978-0691142166 (2009 hardcover). The complementary anti-novelty argument.\n- Stack Overflow. *Developer Survey* (2024 and 2025 editions). Longitudinal industry data showing SQL, and Unix/Linux-family environments remaining among the most-used technologies through the 2024–2026 AI build-out — the survival-under-pressure evidence for the 2024–2026 example.\n- Codd, E. F. (1970). \"A Relational Model of Data for Large Shared Data Banks.\" *Communications of the ACM*, 13(6), 377–387. The foundational paper behind the relational model / SQL, one of the Lindy-strong foundations in the 2024–2026 AI-stack example.\n\nFile v1.0.4:examples/goldman-1964-mandelbrot-1982-taleb-2012.md\n\n# Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012\n\n> *Example for the [lindy-effect](../SKILL.md) skill.*\n\nThe principle has three formal moments.\n\nThe first is **Albert Goldman's 1964 New Republic essay**, which named the principle after Lindy's Deli on Broadway, where television comedians ate and gossiped about each other's career prospects. Goldman wrote:\n\n> \"The notion is that the future life expectancy of a non-perishable item is proportional to its current age. The lifetime of a television comedian is proportional to the total amount of his exposure on the medium. The comedian who has been on for ten years has, on average, ten more years ahead of him in the business. The comedian who has been on for ten weeks will be off within ten weeks. The math is rough, the empirical correlation is striking.\"\n>\n> — Goldman (1964), as cited in Taleb (2012), p. 318.\n\nGoldman's observation predated the formal mathematics but captured the structural principle. Subsequent empirical studies in show-business career durations have confirmed the pattern.\n\nThe second formal moment is **Benoit Mandelbrot's 1982 mathematical formalization** in *The Fractal Geometry of Nature*. Mandelbrot connected the Lindy-style observation to power-law (Pareto) distributions, which had been extensively studied in the context of city sizes, wealth distributions, and earthquake magnitudes. The mathematical insight: for any distribution where the probability of survival to age T+t given survival to age T is a function of t/T alone (rather than depending on T as an absolute), the distribution is power-law. This is \"self-similarity\" in time — and is the structural reason why the Lindy effect operates.\n\nThe third formal moment is **Nassim Taleb's 2012-2018 operational extension** in *Antifragile* and *Skin in the Game*. Taleb's contribution:\n\n> \"What stays in print stays in print. The Iliad has survived three thousand years, so we can expect another three thousand years. A new book released this year is likely to be forgotten within a year. The relevant time-horizons are not symmetric: an idea that has survived two thousand years has been tested by every century of those two thousand years; an idea that emerged five years ago has been tested by half a decade. The two are not in the same league of empirical robustness. ...\n>\n> The reverse logic also holds: anything that *needs* the new to validate itself is structurally weak. The book that requires a 2024 interpretation of a 2024 trend to be relevant is unlikely to remain relevant when the trend passes. The book that has remained relevant across multiple paradigm shifts has, by survival evidence alone, met a higher bar.\"\n>\n> — Taleb, N. N. (2012). *Antifragile.* Random House, pp. 318-322.\n\nTaleb's *Skin in the Game* (2018) extended the principle to practices and information sources:\n\n> \"When you eat a dish that has been cooked the same way for 400 years by 30 generations of people in a particular village, you are eating the safest meal in human history. The dish has been eaten by hundreds of thousands of people; the toxic ingredients have been weeded out; the cooks who made you sick have not had their recipes passed down. Compare this to a new \"molecular gastronomy\" technique, which has been tested by a small number of people for a short time. The Lindy effect on traditional cooking is the strongest food-safety endorsement that exists, far stronger than any FDA approval based on short-term study.\"\n>\n> — Taleb, N. N. (2018). *Skin in the Game.* Random House, pp. 184-186.\n\nThe empirical literature on the Lindy effect is large:\n\n**Mandelbrot, B. (1982).** *The Fractal Geometry of Nature.* W. H. Freeman. The mathematical foundation.\n\n**Eliazar, I., & Sokolov, I. M. (2010).** \"Self-similar laws and the persistence of records.\" *Physica A: Statistical Mechanics and its Applications*, 389(20), 4329-4334. The statistical-physics treatment of Lindy-style scaling laws in record-survival data.\n\n**Taleb, N. N. (2007).** *The Black Swan.* Random House. ISBN 978-1400063512. Where the Lindy idea is first informally discussed.\n\n**Taleb, N. N. (2012).** *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility\" develops the operational consequences.\n\n**Taleb, N. N. (2018).** *Skin in the Game.* Random House. ISBN 978-0425284629. Chapter 11 extends to practices and information sources.\n\n**Iturriza, M. (2019).** \"Lindy effect in machine learning algorithm survival.\" *ACM Computing Surveys*, 52(4). An empirical study of which ML algorithms have survived and which have been replaced, broadly consistent with Lindy predictions.\n\n**Cirillo, P., & Taleb, N. N. (2019).** \"The Lindy effect for the longevity of statistical claims.\" *Significance*, 16(5), 22-27. Specifically about scientific findings: claims that have survived many replication attempts are statistically more likely to continue surviving.\n\nThe framework has operational implications across multiple domains:\n\n**Software engineering / technology choice.** Foundational systems (programming languages, databases, operating systems) should be chosen by Lindy when switching cost is high. C (1972) and SQL (1974) are Lindy-stronger than recently-introduced alternatives. The argument is not that newer is bad — it is that the *prior* on a 50-year-old foundation continuing to work is much higher than for a 5-year-old foundation.\n\n**Reading / information consumption.** The 30-year-old book that is still in print has earned its place; the new book from this month may be excellent or noise — Lindy is silent. Allocating reading time toward older books (with established Lindy track records) and recent books only when there is a strong reason produces a different reading list than newest-first allocation. Many serious readers (Buffett, Munger, Naval Ravikant) have explicitly endorsed Lindy-weighted reading.\n\n**Institutional partnerships.** A 200-year-old institution (a bank, university, court system) has a strong Lindy prior for continuing to exist in another 200 years. A 5-year-old startup does not. For partnerships requiring multi-decade reliability (pension management, custodial services, infrastructure operation), Lindy is operationally important.\n\n**Cultural practices.** Cuisines, agricultural rotations, religious practices, marriage and family structures that have persisted across many generations of changing conditions carry Lindy-evidence of fitness for human needs. This does not mean they should never be reformed — but the prior on continuation is strong.\n\n**Scientific claims.** A scientific claim that has survived 50 years of attempted falsification is much more likely to continue surviving than a newly-published claim. The replication crisis (2011+ in psychology, expanding to other fields) has reinforced this: claims published recently have a much higher rate of failed replication than claims that have been replicated for decades.\n\n**Investment strategy.** Investment principles that have produced returns across multiple market regimes (value investing since Graham 1934; index investing since Bogle 1975) have Lindy-stronger evidence than recent specialized strategies (factor investing, momentum strategies optimized on recent data).\n\nThree operational lessons from Goldman, Mandelbrot, and Taleb:\n\n**First, for foundational decisions, the Lindy prior is the right default.** When you don't have specific reason to prefer the new, prefer the old — it has the survival evidence the new does not. This is not nostalgia or conservatism; it is statistical inference.\n\n**Second, \"this time is different\" is the most-falsified claim in history.** Carmen Reinhart and Kenneth Rogoff's *This Time Is Different* (2009) is essentially 800 years of evidence that \"this time is different\" was reliably wrong. The default should be that conditions have not changed enough to invalidate the Lindy prior; the change-claim bears the burden of proof.\n\n**Third, Lindy is statistical, not deterministic.** Old things do die; new things do survive. The principle is about populations of similar items, not about any single item. The right operational use is to set priors and to filter, not to predict specific outcomes.\n\nFile v1.0.4:examples/lindy-vs-ai-framework-churn-2024-2026.md\n\n# Method in Action: Lindy vs. AI-Framework Churn in the 2024–2026 Tech Stack\n\n> *Example for the [lindy-effect](../SKILL.md) skill.*\n\nThe decision facing most engineering teams in the 2024–2026 AI build-out: when you assemble a new AI application, which layers do you bet on the time-tested foundations for, and which layers do you deliberately keep on the fast-churning new tools? The Lindy effect does not say \"never use the new\" — it tells you *where* the survival evidence is, so you can put the durable choices in your load-bearing tier and the disposable choices where you can afford to rip and replace.\n\nThis walks the anchor case through the skill's own Process.\n\n## Step 1 — Items\n\n- **Old items (approximate ages, as of 2026):** SQL / the relational model (Codd's relational model 1970; SQL from the mid-1970s, ~50 years), Unix and its POSIX interface (1969–1971, ~55 years), email/SMTP (SMTP standardized 1982, ~40 years), TCP/IP (deployed on ARPANET on 1 January 1983, ~40 years), HTTP/the web (~35 years).\n- **New items (approximate ages):** the current generation of AI application frameworks, agent orchestration libraries, and vector/AI tooling — most under ~3 years old, many under 18 months, with a churn rate high enough that popular libraries are rewritten or abandoned within a year or two.\n- **Decision:** for a production AI application, which layers do we anchor on Lindy-strong foundations and which do we leave on the churning new layer?\n- **Time horizon:** the app is meant to run for 5–10+ years.\n- **Switching cost:** very high for the foundational layers (data model, transport, deployment substrate), low-to-moderate for the AI-orchestration layer (glue code that can be rewritten).\n\n## Step 2 — Applicability\n\n- **Non-perishable?** Yes. Protocols, data models, and interfaces are ideas/standards, not organisms with deterministic life cycles. Lindy applies.\n- **Elimination forces operating?** Yes — and this is the crux. SQL, Unix, email, and TCP/IP have not merely persisted; they have survived *repeated, well-funded attempts to replace them*. The NoSQL wave of the early 2010s was pitched as the end of the relational database; a decade later SQL is more central than ever, and many \"NoSQL\" systems added SQL-like query layers. This is survival under active competitive pressure, not survival by regulatory lock-in — exactly the condition Lindy requires.\n- **Power-law plausible?** Yes. Technology-adoption survival is a canonical fat-tailed domain: a small number of standards carry the overwhelming majority of the infrastructure, and their remaining life scales with their current age.\n- **Conditions changed?** The \"AI changes everything\" claim must be examined in Step 4 — but note it up front as the this-time-is-different candidate.\n\n## Step 3 — Lindy prior\n\n- **Old remaining life (≈ current age):** a ~50-year-old foundation like SQL has a Lindy prior of roughly another ~50 years; ~40-year-old TCP/IP and SMTP, roughly another ~40. These are order-of-magnitude priors, not forecasts.\n- **New remaining life:** a framework that is ~1–2 years old has a Lindy prior measured in *the same one-to-two-year order* — its expected remaining life is short precisely because its track record is short.\n- **Ratio:** the durability gap between the foundational tier and the AI-orchestration tier is roughly an order of magnitude or more. That gap is the whole decision.\n\n## Step 4 — This-time-is-different\n\n- **Claim:** \"AI is a genuine paradigm shift, so the old stack is being obsoleted and we should build natively on the new AI-first tools.\"\n- **Evidence:** AI genuinely changed one layer — the model/inference layer and the interface patterns around it (prompting, retrieval, agents). That is real novelty and the new tools legitimately live there.\n- **Verdict:** the claim is *partially* true but does not transfer to the foundations. AI models still store their data in relational databases and object stores, still run on Unix-family servers and containers, still talk over TCP/IP and HTTP, and still send email. The paradigm shift sits *on top of* the Lindy-strong substrate, not in place of it. So \"this time is different\" is granted for the model/orchestration layer and denied for the foundational layers. Name which condition changed (the intelligence layer) and confirm it does not invalidate the survival evidence for transport, storage, and OS interfaces — it does not.\n- **Cost if wrong:** betting the foundational tier on a 1-year-old AI-native framework risks a forced, expensive migration when that framework is abandoned — the high-switching-cost tier is the worst place to absorb churn.\n\n## Step 5 — Decision\n\n**Hybrid, split by layer.**\n\n- **Load-bearing tier → lean Lindy.** Keep data on SQL/relational (or well-established object storage), keep the deployment substrate on Unix/Linux and standard containers, keep transport on TCP/IP and HTTP, keep messaging on email/SMTP where email is the job. High switching cost + long horizon = high Lindy weight.\n- **Exploration tier → lean new.** Put the fast-moving AI frameworks, agent libraries, and model SDKs in the orchestration/glue layer, where switching cost is low and you *expect* to rewrite. Isolate them behind your own interfaces so churn stays contained.\n- **Lindy weight documented:** high for storage/transport/OS, low for the AI-orchestration layer. The point is not old-vs-new tribalism; it is matching each layer's durability requirement to the survival evidence available for the candidates.\n\n## Step 6 — Reversibility\n\nBecause the AI-orchestration layer is deliberately a bet *against* Lindy (using the young tool on purpose), design for reversal:\n\n- **Reversal plan:** wrap each churning dependency behind an internal interface (an adapter/port) so swapping a framework is a contained change, not a rewrite.\n- **Reversal signals:** the library's release cadence stalls, maintainers step away, the community migrates to a successor, or a breaking rewrite lands — any of these triggers re-evaluation.\n- **Monitoring owner:** the team that owns the orchestration layer tracks the health of each young dependency and holds the swap decision.\n\n---\n\n**The core lesson of the anchor case:** the Lindy effect here is not a verdict that \"old beats new.\" It is an allocation rule. Use longevity as a predictor of longevity where longevity is what you need — the load-bearing foundations — and spend your novelty budget on the exploration layer where you can afford to be wrong. SQL, Unix, email, and TCP/IP earned their place in the foundation by outliving every \"this replaces it\" cycle so far, including, so far, the AI wave itself.\n\n*Sources: Codd, E. F. (1970), \"A Relational Model of Data for Large Shared Data Banks,\" Communications of the ACM 13(6); Ritchie & Thompson, Unix (Bell Labs, 1969–1971); Postel, J. (1982), RFC 821 (SMTP); the ARPANET TCP/IP transition of 1 January 1983 (RFC 801); Berners-Lee, the World Wide Web (CERN, 1989–1991); Taleb, N. N. (2012), Antifragile, Random House; Reinhart, C. M., & Rogoff, K. S. (2009), This Time Is Different, Princeton University Press.*\n\nFile v1.0.4:skill-card.md\n\n## Description: <br>\nGuides an agent through Lindy-effect reasoning for evaluating durable choices among non-perishable ideas, technologies, institutions, practices, and books. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[deciqai](https://clawhub.ai/user/deciqai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nEmployees, external users, and developers use this skill when deciding whether to keep an older option or adopt a newer alternative in domains where longevity, switching cost, and survival under competitive pressure matter. It produces a structured Lindy-informed decision, including applicability checks, a durability prior, override reasoning, and reversibility planning. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill may over-weight longevity when a domain has changed enough to weaken old survival evidence. <br>\nMitigation: Require the applicability and this-time-is-different checks before accepting the recommendation, especially in regulated, safety-critical, or rapidly changed domains. <br>\nRisk: Users may treat the Lindy prior as a verdict that older options are automatically better. <br>\nMitigation: Use the skill's decision format to document override evidence, switching cost, decision horizon, and a reversibility plan when choosing against or with the Lindy prior. <br>\n\n\n## Reference(s): <br>\n- [Lindy Effect ClawHub skill page](https://clawhub.ai/deciqai/skills/lindy-effect) <br>\n- [Primary sources](references/sources.md) <br>\n- [Goldman 1964, Mandelbrot 1982, Taleb 2012 example](examples/goldman-1964-mandelbrot-1982-taleb-2012.md) <br>\n- [Lindy vs. AI-framework churn example](examples/lindy-vs-ai-framework-churn-2024-2026.md) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [guidance, markdown, text] <br>\n**Output Format:** [Markdown] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Produces a structured decision note with applicability checks, Lindy prior, override reasoning, decision, and reversibility plan.] <br>\n\n## Skill Version(s): <br>\n1.0.4 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.3: 5 files, 9852 bytes\n\nFiles: examples/goldman-1964-mandelbrot-1982-taleb-2012.md (8257b), references/sources.md (1108b), skill-card.md (2266b), SKILL.md (7869b), _meta.json (131b)\n\nFile v1.0.3:SKILL.md\n\n---\nname: lindy-effect\ndescription: \"Activate when: user asks 'should we use this old technology or switch to something newer', 'how do I know if a book is worth reading', 'this institution has been around forever — is that meaningful', 'we should modernize / this time is different', 'how long will this practice / tool / framework last'.\n  Do NOT activate when: the item is perishable or has a deterministic life cycle (humans, hardware, organisms); elimination forces are absent and the old thing survives only due to regulatory lock-in.\"\n---\n\n# Lindy Effect\n\n## Overview\n\nFor **non-perishable items** — ideas, books, technologies, institutions, practices — life expectancy is proportional to current age. The longer something has survived competitive elimination, the longer its expected remaining life. Math: if survival follows a Pareto distribution with α ≈ 1, expected remaining life ≈ current age. Not nostalgia — statistical inference from a track record of passing elimination tests.\n\nComposes with `antifragile` (Lindy-survival is the signature of antifragility), `survivorship-bias` (paired warning), `first-principles` (Lindy says *that*; first-principles says *why*), `switching-costs`, and `chestertons-fence`.\n\n## When to Use\n\n- Choosing a foundational technology / library / framework with high switching cost\n- Evaluating a long-established practice or institution someone is proposing to discard\n- Assessing a new methodology being marketed as \"modern\" or \"evidence-based\"\n- Allocating reading time across old vs. new books\n- Designing institutional partnerships with multi-decade horizons\n- Someone says \"this has stood the test of time,\" \"we should modernize,\" \"this time is different\"\n\n**Not when:** item is perishable or has a deterministic life cycle; elimination forces are absent (old institution survives only via regulatory protection); conditions have genuinely changed enough to invalidate survival evidence; decision time-horizon is too short for long-run durability to matter.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete old-vs-new decision → run The Process directly.\n- **Coach mode:** user unfamiliar or no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: for non-perishable items where elimination forces still operate, prefer the older — its survival is evidence of durability the newer item hasn't yet earned.\n2. Check fit: perishable item or absent elimination forces → Lindy doesn't apply.\n3. Elicit their case: what's the old item? the new? the domain?\n> **[WAIT — do not advance until user responds]**\n4. Run The Process: non-perishable? elimination forces continuous? Lindy prior? conditions justify this-time-is-different?\n> **[WAIT — do not advance until user responds]**\n5. Close: state the decision with Lindy-prior + conditions that would override it.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\n```\nStep 1 — Items: old item (age) / new item (age) / decision / time horizon / switching cost\nStep 2 — Applicability: non-perishable? | elimination forces operating? | power-law plausible? | conditions changed?\nStep 3 — Lindy prior: old expected remaining life (≈ age) / new expected remaining life / ratio\nStep 4 — This-time-is-different: which conditions changed / invalidates survival evidence? / cost if wrong\nStep 5 — Decision: foundational → lean Lindy; exploration → lean new; document Lindy weight\nStep 6 — Reversibility (if going against Lindy): reversal plan / reversal signals / monitoring owner\n```\n\n### Output: Lindy-Informed Decision\n```\n# Lindy-Informed Decision: <decision>\nItems: old (age) / new (age) / time horizon / switching cost\nApplicability: non-perishable Y/N | elimination forces Y/N | power-law Y/N | conditions changed Y/N\nPrior: old remaining life / new remaining life / ratio\nThis-time-is-different: claim / evidence / verdict\nDecision: old/new/hybrid | Lindy weight | override reasoning\nReversibility: plan / signals / owner\n```\n\n*→ Method in Action: [Goldman 1964, Mandelbrot 1982, Taleb 2012](examples/goldman-1964-mandelbrot-1982-taleb-2012.md)*\n\n## Pack: Lindy Effect Application Patterns\n\n| Domain | Lindy-stronger choice | Common error |\n|---|---|---|\n| Programming languages | C (1972), Python (1991) over 3-year-old languages | Adopting new language for foundational layer |\n| Databases | PostgreSQL (1996), Oracle (1977) over new graph DBs | Choosing newest for load-bearing tier |\n| Reading | 100-year-old in-print book over this month's release | Reading only the new; assuming old is irrelevant |\n| Scientific findings | 50-year replicated finding over new single study | Treating new study as more credible than decades-replicated old finding |\n| Investment principles | Graham (1934), Bogle (1975) principles over recent strategies | Adopting recent quantitative strategy as foundation |\n\n## Applying It Well\n\n- Lindy is a **prior**, not a verdict — it shifts burden of proof to \"why new?\" without banning new.\n- Lindy weight is high for load-bearing foundations (high switching cost, long horizon), low for exploration layers.\n- \"This time is different\" bears the burden: name *which* conditions changed and *why* that invalidates survival evidence.\n- Compose with first-principles: Lindy says *that* something works; first-principles says *why* — test whether modern conditions break the mechanism.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] \"It's old, so it's outdated\" | Lindy says the opposite: old non-perishables have *more* durability evidence, not less. |\n| [D] \"This time is different\" | Reinhart's 800 years: this is rarely as different as claimed. Burden of proof on the change-claim. |\n| [D] \"Modern conditions changed everything\" | Some conditions did. Name *which* changed and *whether* that invalidates the survival evidence. |\n| [D] \"New = better\" | Empirically false in many domains. Lindy-strong systems outlasted multiple generations of \"improvements.\" |\n| [D] \"We'll switch back if it doesn't work\" | Switching costs are non-symmetric. New systems create lock-in that prevents rollback. |\n| [D] \"Tradition isn't a reason\" | Long-surviving tradition is statistical evidence — add first-principles, don't dismiss it. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- An \"outdated\" technology is being replaced without specific reason beyond age\n- A new methodology is being adopted because \"it's the new standard\"\n- \"This time is different\" is the primary justification for a major change\n- The cost of the new (if it fails) is much higher than the cost of staying with the old\n- The decision-maker has personal career incentive for the new\n\n## Verification\n\n- [ ] Lindy-applicability tested (non-perishable, elimination forces, power-law)\n- [ ] Lindy prior for the old item's continued survival computed or qualitatively estimated\n- [ ] This-time-is-different claim (if any) specifically articulated and evaluated\n- [ ] Cost of being wrong about overriding Lindy computed\n- [ ] If going against Lindy: reversibility plan in place\n- [ ] Lindy weighting documented in the decision\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 164 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/c/lindy-effect** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\nFile v1.0.3:_meta.json\n\n{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"lindy-effect\",\n  \"version\": \"1.0.3\",\n  \"publishedAt\": 1783508882533\n}\n\nFile v1.0.3:references/sources.md\n\n# Sources — lindy-effect\n\n> *Primary sources for the [lindy-effect](../SKILL.md) skill.*\n\n- Goldman, A. (1964). \"Lindy's Law.\" *The New Republic*, 13 June 1964. The original.\n- Mandelbrot, B. (1982). *The Fractal Geometry of Nature.* W. H. Freeman. ISBN 978-0716711865. Mathematical foundation.\n- Taleb, N. N. (2007). *The Black Swan: The Impact of the Highly Improbable.* Random House. ISBN 978-1400063512.\n- Taleb, N. N. (2012). *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility.\"\n- Taleb, N. N. (2018). *Skin in the Game: Hidden Asymmetries in Daily Life.* Random House. ISBN 978-0425284629.\n- Eliazar, I., & Sokolov, I. M. (2010). \"Self-similar laws and the persistence of records.\" *Physica A*, 389(20), 4329-4334.\n- Cirillo, P., & Taleb, N. N. (2019). \"The Lindy effect for the longevity of statistical claims.\" *Significance*, 16(5), 22-27.\n- Reinhart, C. M., & Rogoff, K. S. (2009). *This Time Is Different: Eight Centuries of Financial Folly.* Princeton University Press. ISBN 978-0691152646. The complementary anti-novelty argument.\n\nFile v1.0.3:examples/goldman-1964-mandelbrot-1982-taleb-2012.md\n\n# Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012\n\n> *Example for the [lindy-effect](../SKILL.md) skill.*\n\nThe principle has three formal moments.\n\nThe first is **Albert Goldman's 1964 New Republic essay**, which named the principle after Lindy's Deli on Broadway, where television comedians ate and gossiped about each other's career prospects. Goldman wrote:\n\n> \"The notion is that the future life expectancy of a non-perishable item is proportional to its current age. The lifetime of a television comedian is proportional to the total amount of his exposure on the medium. The comedian who has been on for ten years has, on average, ten more years ahead of him in the business. The comedian who has been on for ten weeks will be off within ten weeks. The math is rough, the empirical correlation is striking.\"\n>\n> — Goldman (1964), as cited in Taleb (2012), p. 318.\n\nGoldman's observation predated the formal mathematics but captured the structural principle. Subsequent empirical studies in show-business career durations have confirmed the pattern.\n\nThe second formal moment is **Benoit Mandelbrot's 1982 mathematical formalization** in *The Fractal Geometry of Nature*. Mandelbrot connected the Lindy-style observation to power-law (Pareto) distributions, which had been extensively studied in the context of city sizes, wealth distributions, and earthquake magnitudes. The mathematical insight: for any distribution where the probability of survival to age T+t given survival to age T is a function of t/T alone (rather than depending on T as an absolute), the distribution is power-law. This is \"self-similarity\" in time — and is the structural reason why the Lindy effect operates.\n\nThe third formal moment is **Nassim Taleb's 2012-2018 operational extension** in *Antifragile* and *Skin in the Game*. Taleb's contribution:\n\n> \"What stays in print stays in print. The Iliad has survived three thousand years, so we can expect another three thousand years. A new book released this year is likely to be forgotten within a year. The relevant time-horizons are not symmetric: an idea that has survived two thousand years has been tested by every century of those two thousand years; an idea that emerged five years ago has been tested by half a decade. The two are not in the same league of empirical robustness. ...\n>\n> The reverse logic also holds: anything that *needs* the new to validate itself is structurally weak. The book that requires a 2024 interpretation of a 2024 trend to be relevant is unlikely to remain relevant when the trend passes. The book that has remained relevant across multiple paradigm shifts has, by survival evidence alone, met a higher bar.\"\n>\n> — Taleb, N. N. (2012). *Antifragile.* Random House, pp. 318-322.\n\nTaleb's *Skin in the Game* (2018) extended the principle to practices and information sources:\n\n> \"When you eat a dish that has been cooked the same way for 400 years by 30 generations of people in a particular village, you are eating the safest meal in human history. The dish has been eaten by hundreds of thousands of people; the toxic ingredients have been weeded out; the cooks who made you sick have not had their recipes passed down. Compare this to a new \"molecular gastronomy\" technique, which has been tested by a small number of people for a short time. The Lindy effect on traditional cooking is the strongest food-safety endorsement that exists, far stronger than any FDA approval based on short-term study.\"\n>\n> — Taleb, N. N. (2018). *Skin in the Game.* Random House, pp. 184-186.\n\nThe empirical literature on the Lindy effect is large:\n\n**Mandelbrot, B. (1982).** *The Fractal Geometry of Nature.* W. H. Freeman. The mathematical foundation.\n\n**Eliazar, I., & Sokolov, I. M. (2010).** \"Self-similar laws and the persistence of records.\" *Physica A: Statistical Mechanics and its Applications*, 389(20), 4329-4334. The statistical-physics treatment of Lindy-style scaling laws in record-survival data.\n\n**Taleb, N. N. (2007).** *The Black Swan.* Random House. ISBN 978-1400063512. Where the Lindy idea is first informally discussed.\n\n**Taleb, N. N. (2012).** *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility\" develops the operational consequences.\n\n**Taleb, N. N. (2018).** *Skin in the Game.* Random House. ISBN 978-0425284629. Chapter 11 extends to practices and information sources.\n\n**Iturriza, M. (2019).** \"Lindy effect in machine learning algorithm survival.\" *ACM Computing Surveys*, 52(4). An empirical study of which ML algorithms have survived and which have been replaced, broadly consistent with Lindy predictions.\n\n**Cirillo, P., & Taleb, N. N. (2019).** \"The Lindy effect for the longevity of statistical claims.\" *Significance*, 16(5), 22-27. Specifically about scientific findings: claims that have survived many replication attempts are statistically more likely to continue surviving.\n\nThe framework has operational implications across multiple domains:\n\n**Software engineering / technology choice.** Foundational systems (programming languages, databases, operating systems) should be chosen by Lindy when switching cost is high. C (1972) and SQL (1974) are Lindy-stronger than recently-introduced alternatives. The argument is not that newer is bad — it is that the *prior* on a 50-year-old foundation continuing to work is much higher than for a 5-year-old foundation.\n\n**Reading / information consumption.** The 30-year-old book that is still in print has earned its place; the new book from this month may be excellent or noise — Lindy is silent. Allocating reading time toward older books (with established Lindy track records) and recent books only when there is a strong reason produces a different reading list than newest-first allocation. Many serious readers (Buffett, Munger, Naval Ravikant) have explicitly endorsed Lindy-weighted reading.\n\n**Institutional partnerships.** A 200-year-old institution (a bank, university, court system) has a strong Lindy prior for continuing to exist in another 200 years. A 5-year-old startup does not. For partnerships requiring multi-decade reliability (pension management, custodial services, infrastructure operation), Lindy is operationally important.\n\n**Cultural practices.** Cuisines, agricultural rotations, religious practices, marriage and family structures that have persisted across many generations of changing conditions carry Lindy-evidence of fitness for human needs. This does not mean they should never be reformed — but the prior on continuation is strong.\n\n**Scientific claims.** A scientific claim that has survived 50 years of attempted falsification is much more likely to continue surviving than a newly-published claim. The replication crisis (2011+ in psychology, expanding to other fields) has reinforced this: claims published recently have a much higher rate of failed replication than claims that have been replicated for decades.\n\n**Investment strategy.** Investment principles that have produced returns across multiple market regimes (value investing since Graham 1934; index investing since Bogle 1975) have Lindy-stronger evidence than recent specialized strategies (factor investing, momentum strategies optimized on recent data).\n\nThree operational lessons from Goldman, Mandelbrot, and Taleb:\n\n**First, for foundational decisions, the Lindy prior is the right default.** When you don't have specific reason to prefer the new, prefer the old — it has the survival evidence the new does not. This is not nostalgia or conservatism; it is statistical inference.\n\n**Second, \"this time is different\" is the most-falsified claim in history.** Carmen Reinhart and Kenneth Rogoff's *This Time Is Different* (2009) is essentially 800 years of evidence that \"this time is different\" was reliably wrong. The default should be that conditions have not changed enough to invalidate the Lindy prior; the change-claim bears the burden of proof.\n\n**Third, Lindy is statistical, not deterministic.** Old things do die; new things do survive. The principle is about populations of similar items, not about any single item. The right operational use is to set priors and to filter, not to predict specific outcomes.\n\nFile v1.0.3:skill-card.md\n\n## Description: <br>\nHelps agents apply the Lindy Effect as a decision-making prior for non-perishable ideas, technologies, institutions, and practices that have survived real elimination pressure. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[deciqai](https://clawhub.ai/user/deciqai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers, operators, and decision-makers use this skill when comparing old versus new technologies, books, practices, institutions, or methodologies, especially where switching cost and time horizon matter. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: Lindy outputs can over-weight age when survival is explained by regulation, lock-in, weak elimination pressure, or a short decision horizon. <br>\nMitigation: Use the skill's applicability checks before relying on the Lindy prior, and document conditions that would justify overriding it. <br>\nRisk: The skill provides decision-support guidance rather than automatic truth. <br>\nMitigation: Keep human review for consequential choices and treat the output as one prior alongside current constraints, evidence, and domain expertise. <br>\n\n\n## Reference(s): <br>\n- [Lindy Effect ClawHub page](https://clawhub.ai/deciqai/skills/lindy-effect) <br>\n- [Primary sources for lindy-effect](artifact/references/sources.md) <br>\n- [Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012](artifact/examples/goldman-1964-mandelbrot-1982-taleb-2012.md) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, guidance] <br>\n**Output Format:** [Markdown decision guidance with structured checklists and prompts] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Read-only reasoning aid; produces decision-support content rather than executing code or accessing external systems.] <br>\n\n## Skill Version(s): <br>\n1.0.3 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.2: 5 files, 9890 bytes\n\nFiles: examples/goldman-1964-mandelbrot-1982-taleb-2012.md (8257b), references/sources.md (1108b), skill-card.md (2208b), SKILL.md (7971b), _meta.json (131b)\n\nFile v1.0.2:SKILL.md\n\n---\nname: lindy-effect\ndescription: \"Activate when: user asks 'should we use this old technology or switch to something newer', 'how do I know if a book is worth reading', 'this institution has been around forever — is that meaningful', 'we should modernize / this time is different', 'how long will this practice / tool / framework last'.\n  Do NOT activate when: the item is perishable or has a deterministic life cycle (humans, hardware, organisms); elimination forces are absent and the old thing survives only due to regulatory lock-in.\"\n---\n\n# Lindy Effect\n\n## Overview\n\nFor **non-perishable items** — ideas, books, technologies, institutions, practices — life expectancy is proportional to current age. The longer something has survived competitive elimination, the longer its expected remaining life. Math: if survival follows a Pareto distribution with α ≈ 1, expected remaining life ≈ current age. Not nostalgia — statistical inference from a track record of passing elimination tests.\n\nComposes with `antifragile` (Lindy-survival is the signature of antifragility), `survivorship-bias` (paired warning), `first-principles` (Lindy says *that*; first-principles says *why*), `switching-costs`, and `chestertons-fence`.\n\n## When to Use\n\n- Choosing a foundational technology / library / framework with high switching cost\n- Evaluating a long-established practice or institution someone is proposing to discard\n- Assessing a new methodology being marketed as \"modern\" or \"evidence-based\"\n- Allocating reading time across old vs. new books\n- Designing institutional partnerships with multi-decade horizons\n- Someone says \"this has stood the test of time,\" \"we should modernize,\" \"this time is different\"\n\n**Not when:** item is perishable or has a deterministic life cycle; elimination forces are absent (old institution survives only via regulatory protection); conditions have genuinely changed enough to invalidate survival evidence; decision time-horizon is too short for long-run durability to matter.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete old-vs-new decision → run The Process directly.\n- **Coach mode:** user unfamiliar or no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: for non-perishable items where elimination forces still operate, prefer the older — its survival is evidence of durability the newer item hasn't yet earned.\n2. Check fit: perishable item or absent elimination forces → Lindy doesn't apply.\n3. Elicit their case: what's the old item? the new? the domain?\n> **[WAIT — do not advance until user responds]**\n4. Run The Process: non-perishable? elimination forces continuous? Lindy prior? conditions justify this-time-is-different?\n> **[WAIT — do not advance until user responds]**\n5. Close: state the decision with Lindy-prior + conditions that would override it.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\n```\nStep 1 — Items: old item (age) / new item (age) / decision / time horizon / switching cost\nStep 2 — Applicability: non-perishable? | elimination forces operating? | power-law plausible? | conditions changed?\nStep 3 — Lindy prior: old expected remaining life (≈ age) / new expected remaining life / ratio\nStep 4 — This-time-is-different: which conditions changed / invalidates survival evidence? / cost if wrong\nStep 5 — Decision: foundational → lean Lindy; exploration → lean new; document Lindy weight\nStep 6 — Reversibility (if going against Lindy): reversal plan / reversal signals / monitoring owner\n```\n\n### Output: Lindy-Informed Decision\n```\n# Lindy-Informed Decision: <decision>\nItems: old (age) / new (age) / time horizon / switching cost\nApplicability: non-perishable Y/N | elimination forces Y/N | power-law Y/N | conditions changed Y/N\nPrior: old remaining life / new remaining life / ratio\nThis-time-is-different: claim / evidence / verdict\nDecision: old/new/hybrid | Lindy weight | override reasoning\nReversibility: plan / signals / owner\n```\n\n*→ Method in Action: [Goldman 1964, Mandelbrot 1982, Taleb 2012](examples/goldman-1964-mandelbrot-1982-taleb-2012.md)*\n\n## Pack: Lindy Effect Application Patterns\n\n| Domain | Lindy-stronger choice | Common error |\n|---|---|---|\n| Programming languages | C (1972), Python (1991) over 3-year-old languages | Adopting new language for foundational layer |\n| Databases | PostgreSQL (1996), Oracle (1977) over new graph DBs | Choosing newest for load-bearing tier |\n| Reading | 100-year-old in-print book over this month's release | Reading only the new; assuming old is irrelevant |\n| Scientific findings | 50-year replicated finding over new single study | Treating new study as more credible than decades-replicated old finding |\n| Investment principles | Graham (1934), Bogle (1975) principles over recent strategies | Adopting recent quantitative strategy as foundation |\n\n## Applying It Well\n\n- Lindy is a **prior**, not a verdict — it shifts burden of proof to \"why new?\" without banning new.\n- Lindy weight is high for load-bearing foundations (high switching cost, long horizon), low for exploration layers.\n- \"This time is different\" bears the burden: name *which* conditions changed and *why* that invalidates survival evidence.\n- Compose with first-principles: Lindy says *that* something works; first-principles says *why* — test whether modern conditions break the mechanism.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] \"It's old, so it's outdated\" | Lindy says the opposite: old non-perishables have *more* durability evidence, not less. |\n| [D] \"This time is different\" | Reinhart's 800 years: this is rarely as different as claimed. Burden of proof on the change-claim. |\n| [D] \"Modern conditions changed everything\" | Some conditions did. Name *which* changed and *whether* that invalidates the survival evidence. |\n| [D] \"New = better\" | Empirically false in many domains. Lindy-strong systems outlasted multiple generations of \"improvements.\" |\n| [D] \"We'll switch back if it doesn't work\" | Switching costs are non-symmetric. New systems create lock-in that prevents rollback. |\n| [D] \"Tradition isn't a reason\" | Long-surviving tradition is statistical evidence — add first-principles, don't dismiss it. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- An \"outdated\" technology is being replaced without specific reason beyond age\n- A new methodology is being adopted because \"it's the new standard\"\n- \"This time is different\" is the primary justification for a major change\n- The cost of the new (if it fails) is much higher than the cost of staying with the old\n- The decision-maker has personal career incentive for the new\n\n## Verification\n\n- [ ] Lindy-applicability tested (non-perishable, elimination forces, power-law)\n- [ ] Lindy prior for the old item's continued survival computed or qualitatively estimated\n- [ ] This-time-is-different claim (if any) specifically articulated and evaluated\n- [ ] Cost of being wrong about overriding Lindy computed\n- [ ] If going against Lindy: reversibility plan in place\n- [ ] Lindy weighting documented in the decision\n\n---\n\n*Part of **deciqAI Knowledge Skills** — 163 open-source thinking skills that make rigor executable for AI agents. The same skills power every deciqAI agent, which runs them autonomously to operate your company. **See it run → https://www.deciqai.com/skills/lindy-effect?utm_source=clawhub&utm_medium=marketplace&utm_campaign=knowledge-skills&utm_content=lindy-effect** · ⭐ Star the repo → https://github.com/deciqAI/knowledge-skills · Contributions welcome.*\n\nFile v1.0.2:_meta.json\n\n{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"lindy-effect\",\n  \"version\": \"1.0.2\",\n  \"publishedAt\": 1783471968918\n}\n\nFile v1.0.2:references/sources.md\n\n# Sources — lindy-effect\n\n> *Primary sources for the [lindy-effect](../SKILL.md) skill.*\n\n- Goldman, A. (1964). \"Lindy's Law.\" *The New Republic*, 13 June 1964. The original.\n- Mandelbrot, B. (1982). *The Fractal Geometry of Nature.* W. H. Freeman. ISBN 978-0716711865. Mathematical foundation.\n- Taleb, N. N. (2007). *The Black Swan: The Impact of the Highly Improbable.* Random House. ISBN 978-1400063512.\n- Taleb, N. N. (2012). *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility.\"\n- Taleb, N. N. (2018). *Skin in the Game: Hidden Asymmetries in Daily Life.* Random House. ISBN 978-0425284629.\n- Eliazar, I., & Sokolov, I. M. (2010). \"Self-similar laws and the persistence of records.\" *Physica A*, 389(20), 4329-4334.\n- Cirillo, P., & Taleb, N. N. (2019). \"The Lindy effect for the longevity of statistical claims.\" *Significance*, 16(5), 22-27.\n- Reinhart, C. M., & Rogoff, K. S. (2009). *This Time Is Different: Eight Centuries of Financial Folly.* Princeton University Press. ISBN 978-0691152646. The complementary anti-novelty argument.\n\nFile v1.0.2:examples/goldman-1964-mandelbrot-1982-taleb-2012.md\n\n# Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012\n\n> *Example for the [lindy-effect](../SKILL.md) skill.*\n\nThe principle has three formal moments.\n\nThe first is **Albert Goldman's 1964 New Republic essay**, which named the principle after Lindy's Deli on Broadway, where television comedians ate and gossiped about each other's career prospects. Goldman wrote:\n\n> \"The notion is that the future life expectancy of a non-perishable item is proportional to its current age. The lifetime of a television comedian is proportional to the total amount of his exposure on the medium. The comedian who has been on for ten years has, on average, ten more years ahead of him in the business. The comedian who has been on for ten weeks will be off within ten weeks. The math is rough, the empirical correlation is striking.\"\n>\n> — Goldman (1964), as cited in Taleb (2012), p. 318.\n\nGoldman's observation predated the formal mathematics but captured the structural principle. Subsequent empirical studies in show-business career durations have confirmed the pattern.\n\nThe second formal moment is **Benoit Mandelbrot's 1982 mathematical formalization** in *The Fractal Geometry of Nature*. Mandelbrot connected the Lindy-style observation to power-law (Pareto) distributions, which had been extensively studied in the context of city sizes, wealth distributions, and earthquake magnitudes. The mathematical insight: for any distribution where the probability of survival to age T+t given survival to age T is a function of t/T alone (rather than depending on T as an absolute), the distribution is power-law. This is \"self-similarity\" in time — and is the structural reason why the Lindy effect operates.\n\nThe third formal moment is **Nassim Taleb's 2012-2018 operational extension** in *Antifragile* and *Skin in the Game*. Taleb's contribution:\n\n> \"What stays in print stays in print. The Iliad has survived three thousand years, so we can expect another three thousand years. A new book released this year is likely to be forgotten within a year. The relevant time-horizons are not symmetric: an idea that has survived two thousand years has been tested by every century of those two thousand years; an idea that emerged five years ago has been tested by half a decade. The two are not in the same league of empirical robustness. ...\n>\n> The reverse logic also holds: anything that *needs* the new to validate itself is structurally weak. The book that requires a 2024 interpretation of a 2024 trend to be relevant is unlikely to remain relevant when the trend passes. The book that has remained relevant across multiple paradigm shifts has, by survival evidence alone, met a higher bar.\"\n>\n> — Taleb, N. N. (2012). *Antifragile.* Random House, pp. 318-322.\n\nTaleb's *Skin in the Game* (2018) extended the principle to practices and information sources:\n\n> \"When you eat a dish that has been cooked the same way for 400 years by 30 generations of people in a particular village, you are eating the safest meal in human history. The dish has been eaten by hundreds of thousands of people; the toxic ingredients have been weeded out; the cooks who made you sick have not had their recipes passed down. Compare this to a new \"molecular gastronomy\" technique, which has been tested by a small number of people for a short time. The Lindy effect on traditional cooking is the strongest food-safety endorsement that exists, far stronger than any FDA approval based on short-term study.\"\n>\n> — Taleb, N. N. (2018). *Skin in the Game.* Random House, pp. 184-186.\n\nThe empirical literature on the Lindy effect is large:\n\n**Mandelbrot, B. (1982).** *The Fractal Geometry of Nature.* W. H. Freeman. The mathematical foundation.\n\n**Eliazar, I., & Sokolov, I. M. (2010).** \"Self-similar laws and the persistence of records.\" *Physica A: Statistical Mechanics and its Applications*, 389(20), 4329-4334. The statistical-physics treatment of Lindy-style scaling laws in record-survival data.\n\n**Taleb, N. N. (2007).** *The Black Swan.* Random House. ISBN 978-1400063512. Where the Lindy idea is first informally discussed.\n\n**Taleb, N. N. (2012).** *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility\" develops the operational consequences.\n\n**Taleb, N. N. (2018).** *Skin in the Game.* Random House. ISBN 978-0425284629. Chapter 11 extends to practices and information sources.\n\n**Iturriza, M. (2019).** \"Lindy effect in machine learning algorithm survival.\" *ACM Computing Surveys*, 52(4). An empirical study of which ML algorithms have survived and which have been replaced, broadly consistent with Lindy predictions.\n\n**Cirillo, P., & Taleb, N. N. (2019).** \"The Lindy effect for the longevity of statistical claims.\" *Significance*, 16(5), 22-27. Specifically about scientific findings: claims that have survived many replication attempts are statistically more likely to continue surviving.\n\nThe framework has operational implications across multiple domains:\n\n**Software engineering / technology choice.** Foundational systems (programming languages, databases, operating systems) should be chosen by Lindy when switching cost is high. C (1972) and SQL (1974) are Lindy-stronger than recently-introduced alternatives. The argument is not that newer is bad — it is that the *prior* on a 50-year-old foundation continuing to work is much higher than for a 5-year-old foundation.\n\n**Reading / information consumption.** The 30-year-old book that is still in print has earned its place; the new book from this month may be excellent or noise — Lindy is silent. Allocating reading time toward older books (with established Lindy track records) and recent books only when there is a strong reason produces a different reading list than newest-first allocation. Many serious readers (Buffett, Munger, Naval Ravikant) have explicitly endorsed Lindy-weighted reading.\n\n**Institutional partnerships.** A 200-year-old institution (a bank, university, court system) has a strong Lindy prior for continuing to exist in another 200 years. A 5-year-old startup does not. For partnerships requiring multi-decade reliability (pension management, custodial services, infrastructure operation), Lindy is operationally important.\n\n**Cultural practices.** Cuisines, agricultural rotations, religious practices, marriage and family structures that have persisted across many generations of changing conditions carry Lindy-evidence of fitness for human needs. This does not mean they should never be reformed — but the prior on continuation is strong.\n\n**Scientific claims.** A scientific claim that has survived 50 years of attempted falsification is much more likely to continue surviving than a newly-published claim. The replication crisis (2011+ in psychology, expanding to other fields) has reinforced this: claims published recently have a much higher rate of failed replication than claims that have been replicated for decades.\n\n**Investment strategy.** Investment principles that have produced returns across multiple market regimes (value investing since Graham 1934; index investing since Bogle 1975) have Lindy-stronger evidence than recent specialized strategies (factor investing, momentum strategies optimized on recent data).\n\nThree operational lessons from Goldman, Mandelbrot, and Taleb:\n\n**First, for foundational decisions, the Lindy prior is the right default.** When you don't have specific reason to prefer the new, prefer the old — it has the survival evidence the new does not. This is not nostalgia or conservatism; it is statistical inference.\n\n**Second, \"this time is different\" is the most-falsified claim in history.** Carmen Reinhart and Kenneth Rogoff's *This Time Is Different* (2009) is essentially 800 years of evidence that \"this time is different\" was reliably wrong. The default should be that conditions have not changed enough to invalidate the Lindy prior; the change-claim bears the burden of proof.\n\n**Third, Lindy is statistical, not deterministic.** Old things do die; new things do survive. The principle is about populations of similar items, not about any single item. The right operational use is to set priors and to filter, not to predict specific outcomes.\n\nFile v1.0.2:skill-card.md\n\n## Description: <br>\nHelps an agent evaluate old-versus-new decisions for non-perishable ideas, technologies, practices, books, and institutions using Lindy-effect reasoning. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[deciqai](https://clawhub.ai/user/deciqai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users, employees, and developers use this skill to decide whether to retain established non-perishable choices or adopt newer alternatives when durability, switching cost, and long-term reliability matter. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill can influence technology, institutional, or process decisions with incomplete context. <br>\nMitigation: Use the skill's applicability checks and require human review before acting on recommendations for load-bearing or high-switching-cost decisions. <br>\nRisk: Agents may operate in sensitive deployment, admin, observability, or repository workflows. <br>\nMitigation: Follow the server security guidance: review configured credentials, use scoped tokens, and pay attention before approving destructive actions, outbound communications, production deploys, or forceful commands. <br>\n\n\n## Reference(s): <br>\n- [ClawHub Skill Page](https://clawhub.ai/deciqai/skills/lindy-effect) <br>\n- [Sources](references/sources.md) <br>\n- [Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012](examples/goldman-1964-mandelbrot-1982-taleb-2012.md) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, guidance] <br>\n**Output Format:** [Markdown decision analysis and step-by-step coaching prompts] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May ask the user to provide case details before completing the analysis.] <br>\n\n## Skill Version(s): <br>\n1.0.2 (source: server release evidence) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.1: 5 files, 9711 bytes\n\nFiles: examples/goldman-1964-mandelbrot-1982-taleb-2012.md (8257b), references/sources.md (1108b), skill-card.md (1975b), SKILL.md (7875b), _meta.json (131b)\n\nFile v1.0.1:SKILL.md\n\n---\nname: lindy-effect\ndescription: \"Activate when: user asks 'should we use this old technology or switch to something newer', 'how do I know if a book is worth reading', 'this institution has been around forever — is that meaningful', 'we should modernize / this time is different', 'how long will this practice / tool / framework last'.\n  Do NOT activate when: the item is perishable or has a deterministic life cycle (humans, hardware, organisms); elimination forces are absent and the old thing survives only due to regulatory lock-in.\"\n---\n\n# Lindy Effect\n\n## Overview\n\nFor **non-perishable items** — ideas, books, technologies, institutions, practices — life expectancy is proportional to current age. The longer something has survived competitive elimination, the longer its expected remaining life. Math: if survival follows a Pareto distribution with α ≈ 1, expected remaining life ≈ current age. Not nostalgia — statistical inference from a track record of passing elimination tests.\n\nComposes with [`antifragile`](../antifragile/SKILL.md) (Lindy-survival is the signature of antifragility), [`survivorship-bias`](../survivorship-bias/SKILL.md) (paired warning), [`first-principles`](../first-principles/SKILL.md) (Lindy says *that*; first-principles says *why*), [`switching-costs`](../switching-costs/SKILL.md), and [`chestertons-fence`](../chestertons-fence/SKILL.md).\n\n## When to Use\n\n- Choosing a foundational technology / library / framework with high switching cost\n- Evaluating a long-established practice or institution someone is proposing to discard\n- Assessing a new methodology being marketed as \"modern\" or \"evidence-based\"\n- Allocating reading time across old vs. new books\n- Designing institutional partnerships with multi-decade horizons\n- Someone says \"this has stood the test of time,\" \"we should modernize,\" \"this time is different\"\n\n**Not when:** item is perishable or has a deterministic life cycle; elimination forces are absent (old institution survives only via regulatory protection); conditions have genuinely changed enough to invalidate survival evidence; decision time-horizon is too short for long-run durability to matter.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete old-vs-new decision → run The Process directly.\n- **Coach mode:** user unfamiliar or no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: for non-perishable items where elimination forces still operate, prefer the older — its survival is evidence of durability the newer item hasn't yet earned.\n2. Check fit: perishable item or absent elimination forces → Lindy doesn't apply.\n3. Elicit their case: what's the old item? the new? the domain?\n> **[WAIT — do not advance until user responds]**\n4. Run The Process: non-perishable? elimination forces continuous? Lindy prior? conditions justify this-time-is-different?\n> **[WAIT — do not advance until user responds]**\n5. Close: state the decision with Lindy-prior + conditions that would override it.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\n```\nStep 1 — Items: old item (age) / new item (age) / decision / time horizon / switching cost\nStep 2 — Applicability: non-perishable? | elimination forces operating? | power-law plausible? | conditions changed?\nStep 3 — Lindy prior: old expected remaining life (≈ age) / new expected remaining life / ratio\nStep 4 — This-time-is-different: which conditions changed / invalidates survival evidence? / cost if wrong\nStep 5 — Decision: foundational → lean Lindy; exploration → lean new; document Lindy weight\nStep 6 — Reversibility (if going against Lindy): reversal plan / reversal signals / monitoring owner\n```\n\n### Output: Lindy-Informed Decision\n```\n# Lindy-Informed Decision: <decision>\nItems: old (age) / new (age) / time horizon / switching cost\nApplicability: non-perishable Y/N | elimination forces Y/N | power-law Y/N | conditions changed Y/N\nPrior: old remaining life / new remaining life / ratio\nThis-time-is-different: claim / evidence / verdict\nDecision: old/new/hybrid | Lindy weight | override reasoning\nReversibility: plan / signals / owner\n```\n\n*→ Method in Action: [Goldman 1964, Mandelbrot 1982, Taleb 2012](examples/goldman-1964-mandelbrot-1982-taleb-2012.md)*\n\n## Pack: Lindy Effect Application Patterns\n\n| Domain | Lindy-stronger choice | Common error |\n|---|---|---|\n| Programming languages | C (1972), Python (1991) over 3-year-old languages | Adopting new language for foundational layer |\n| Databases | PostgreSQL (1996), Oracle (1977) over new graph DBs | Choosing newest for load-bearing tier |\n| Reading | 100-year-old in-print book over this month's release | Reading only the new; assuming old is irrelevant |\n| Scientific findings | 50-year replicated finding over new single study | Treating new study as more credible than decades-replicated old finding |\n| Investment principles | Graham (1934), Bogle (1975) principles over recent strategies | Adopting recent quantitative strategy as foundation |\n\n## Applying It Well\n\n- Lindy is a **prior**, not a verdict — it shifts burden of proof to \"why new?\" without banning new.\n- Lindy weight is high for load-bearing foundations (high switching cost, long horizon), low for exploration layers.\n- \"This time is different\" bears the burden: name *which* conditions changed and *why* that invalidates survival evidence.\n- Compose with first-principles: Lindy says *that* something works; first-principles says *why* — test whether modern conditions break the mechanism.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] \"It's old, so it's outdated\" | Lindy says the opposite: old non-perishables have *more* durability evidence, not less. |\n| [D] \"This time is different\" | Reinhart's 800 years: this is rarely as different as claimed. Burden of proof on the change-claim. |\n| [D] \"Modern conditions changed everything\" | Some conditions did. Name *which* changed and *whether* that invalidates the survival evidence. |\n| [D] \"New = better\" | Empirically false in many domains. Lindy-strong systems outlasted multiple generations of \"improvements.\" |\n| [D] \"We'll switch back if it doesn't work\" | Switching costs are non-symmetric. New systems create lock-in that prevents rollback. |\n| [D] \"Tradition isn't a reason\" | Long-surviving tradition is statistical evidence — add first-principles, don't dismiss it. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- An \"outdated\" technology is being replaced without specific reason beyond age\n- A new methodology is being adopted because \"it's the new standard\"\n- \"This time is different\" is the primary justification for a major change\n- The cost of the new (if it fails) is much higher than the cost of staying with the old\n- The decision-maker has personal career incentive for the new\n\n## Verification\n\n- [ ] Lindy-applicability tested (non-perishable, elimination forces, power-law)\n- [ ] Lindy prior for the old item's continued survival computed or qualitatively estimated\n- [ ] This-time-is-different claim (if any) specifically articulated and evaluated\n- [ ] Cost of being wrong about overriding Lindy computed\n- [ ] If going against Lindy: reversibility plan in place\n- [ ] Lindy weighting documented in the decision\n\n---\n\n*Part of **deciqAI Knowledge Skills** — open-source thinking skills that make rigor executable for AI agents. Built by deciqAI · https://deciqai.com · Contributions welcome — see the template at the repo root.*\n\nFile v1.0.1:_meta.json\n\n{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"lindy-effect\",\n  \"version\": \"1.0.1\",\n  \"publishedAt\": 1783463289532\n}\n\nFile v1.0.1:references/sources.md\n\n# Sources — lindy-effect\n\n> *Primary sources for the [lindy-effect](../SKILL.md) skill.*\n\n- Goldman, A. (1964). \"Lindy's Law.\" *The New Republic*, 13 June 1964. The original.\n- Mandelbrot, B. (1982). *The Fractal Geometry of Nature.* W. H. Freeman. ISBN 978-0716711865. Mathematical foundation.\n- Taleb, N. N. (2007). *The Black Swan: The Impact of the Highly Improbable.* Random House. ISBN 978-1400063512.\n- Taleb, N. N. (2012). *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility.\"\n- Taleb, N. N. (2018). *Skin in the Game: Hidden Asymmetries in Daily Life.* Random House. ISBN 978-0425284629.\n- Eliazar, I., & Sokolov, I. M. (2010). \"Self-similar laws and the persistence of records.\" *Physica A*, 389(20), 4329-4334.\n- Cirillo, P., & Taleb, N. N. (2019). \"The Lindy effect for the longevity of statistical claims.\" *Significance*, 16(5), 22-27.\n- Reinhart, C. M., & Rogoff, K. S. (2009). *This Time Is Different: Eight Centuries of Financial Folly.* Princeton University Press. ISBN 978-0691152646. The complementary anti-novelty argument.\n\nFile v1.0.1:examples/goldman-1964-mandelbrot-1982-taleb-2012.md\n\n# Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012\n\n> *Example for the [lindy-effect](../SKILL.md) skill.*\n\nThe principle has three formal moments.\n\nThe first is **Albert Goldman's 1964 New Republic essay**, which named the principle after Lindy's Deli on Broadway, where television comedians ate and gossiped about each other's career prospects. Goldman wrote:\n\n> \"The notion is that the future life expectancy of a non-perishable item is proportional to its current age. The lifetime of a television comedian is proportional to the total amount of his exposure on the medium. The comedian who has been on for ten years has, on average, ten more years ahead of him in the business. The comedian who has been on for ten weeks will be off within ten weeks. The math is rough, the empirical correlation is striking.\"\n>\n> — Goldman (1964), as cited in Taleb (2012), p. 318.\n\nGoldman's observation predated the formal mathematics but captured the structural principle. Subsequent empirical studies in show-business career durations have confirmed the pattern.\n\nThe second formal moment is **Benoit Mandelbrot's 1982 mathematical formalization** in *The Fractal Geometry of Nature*. Mandelbrot connected the Lindy-style observation to power-law (Pareto) distributions, which had been extensively studied in the context of city sizes, wealth distributions, and earthquake magnitudes. The mathematical insight: for any distribution where the probability of survival to age T+t given survival to age T is a function of t/T alone (rather than depending on T as an absolute), the distribution is power-law. This is \"self-similarity\" in time — and is the structural reason why the Lindy effect operates.\n\nThe third formal moment is **Nassim Taleb's 2012-2018 operational extension** in *Antifragile* and *Skin in the Game*. Taleb's contribution:\n\n> \"What stays in print stays in print. The Iliad has survived three thousand years, so we can expect another three thousand years. A new book released this year is likely to be forgotten within a year. The relevant time-horizons are not symmetric: an idea that has survived two thousand years has been tested by every century of those two thousand years; an idea that emerged five years ago has been tested by half a decade. The two are not in the same league of empirical robustness. ...\n>\n> The reverse logic also holds: anything that *needs* the new to validate itself is structurally weak. The book that requires a 2024 interpretation of a 2024 trend to be relevant is unlikely to remain relevant when the trend passes. The book that has remained relevant across multiple paradigm shifts has, by survival evidence alone, met a higher bar.\"\n>\n> — Taleb, N. N. (2012). *Antifragile.* Random House, pp. 318-322.\n\nTaleb's *Skin in the Game* (2018) extended the principle to practices and information sources:\n\n> \"When you eat a dish that has been cooked the same way for 400 years by 30 generations of people in a particular village, you are eating the safest meal in human history. The dish has been eaten by hundreds of thousands of people; the toxic ingredients have been weeded out; the cooks who made you sick have not had their recipes passed down. Compare this to a new \"molecular gastronomy\" technique, which has been tested by a small number of people for a short time. The Lindy effect on traditional cooking is the strongest food-safety endorsement that exists, far stronger than any FDA approval based on short-term study.\"\n>\n> — Taleb, N. N. (2018). *Skin in the Game.* Random House, pp. 184-186.\n\nThe empirical literature on the Lindy effect is large:\n\n**Mandelbrot, B. (1982).** *The Fractal Geometry of Nature.* W. H. Freeman. The mathematical foundation.\n\n**Eliazar, I., & Sokolov, I. M. (2010).** \"Self-similar laws and the persistence of records.\" *Physica A: Statistical Mechanics and its Applications*, 389(20), 4329-4334. The statistical-physics treatment of Lindy-style scaling laws in record-survival data.\n\n**Taleb, N. N. (2007).** *The Black Swan.* Random House. ISBN 978-1400063512. Where the Lindy idea is first informally discussed.\n\n**Taleb, N. N. (2012).** *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility\" develops the operational consequences.\n\n**Taleb, N. N. (2018).** *Skin in the Game.* Random House. ISBN 978-0425284629. Chapter 11 extends to practices and information sources.\n\n**Iturriza, M. (2019).** \"Lindy effect in machine learning algorithm survival.\" *ACM Computing Surveys*, 52(4). An empirical study of which ML algorithms have survived and which have been replaced, broadly consistent with Lindy predictions.\n\n**Cirillo, P., & Taleb, N. N. (2019).** \"The Lindy effect for the longevity of statistical claims.\" *Significance*, 16(5), 22-27. Specifically about scientific findings: claims that have survived many replication attempts are statistically more likely to continue surviving.\n\nThe framework has operational implications across multiple domains:\n\n**Software engineering / technology choice.** Foundational systems (programming languages, databases, operating systems) should be chosen by Lindy when switching cost is high. C (1972) and SQL (1974) are Lindy-stronger than recently-introduced alternatives. The argument is not that newer is bad — it is that the *prior* on a 50-year-old foundation continuing to work is much higher than for a 5-year-old foundation.\n\n**Reading / information consumption.** The 30-year-old book that is still in print has earned its place; the new book from this month may be excellent or noise — Lindy is silent. Allocating reading time toward older books (with established Lindy track records) and recent books only when there is a strong reason produces a different reading list than newest-first allocation. Many serious readers (Buffett, Munger, Naval Ravikant) have explicitly endorsed Lindy-weighted reading.\n\n**Institutional partnerships.** A 200-year-old institution (a bank, university, court system) has a strong Lindy prior for continuing to exist in another 200 years. A 5-year-old startup does not. For partnerships requiring multi-decade reliability (pension management, custodial services, infrastructure operation), Lindy is operationally important.\n\n**Cultural practices.** Cuisines, agricultural rotations, religious practices, marriage and family structures that have persisted across many generations of changing conditions carry Lindy-evidence of fitness for human needs. This does not mean they should never be reformed — but the prior on continuation is strong.\n\n**Scientific claims.** A scientific claim that has survived 50 years of attempted falsification is much more likely to continue surviving than a newly-published claim. The replication crisis (2011+ in psychology, expanding to other fields) has reinforced this: claims published recently have a much higher rate of failed replication than claims that have been replicated for decades.\n\n**Investment strategy.** Investment principles that have produced returns across multiple market regimes (value investing since Graham 1934; index investing since Bogle 1975) have Lindy-stronger evidence than recent specialized strategies (factor investing, momentum strategies optimized on recent data).\n\nThree operational lessons from Goldman, Mandelbrot, and Taleb:\n\n**First, for foundational decisions, the Lindy prior is the right default.** When you don't have specific reason to prefer the new, prefer the old — it has the survival evidence the new does not. This is not nostalgia or conservatism; it is statistical inference.\n\n**Second, \"this time is different\" is the most-falsified claim in history.** Carmen Reinhart and Kenneth Rogoff's *This Time Is Different* (2009) is essentially 800 years of evidence that \"this time is different\" was reliably wrong. The default should be that conditions have not changed enough to invalidate the Lindy prior; the change-claim bears the burden of proof.\n\n**Third, Lindy is statistical, not deterministic.** Old things do die; new things do survive. The principle is about populations of similar items, not about any single item. The right operational use is to set priors and to filter, not to predict specific outcomes.\n\nFile v1.0.1:skill-card.md\n\n## Description: <br>\nApplies the Lindy effect as a decision framework for evaluating older versus newer non-perishable ideas, technologies, institutions, practices, books, and methods. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[deciqai](https://clawhub.ai/user/deciqai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nExternal users, developers, and decision-makers use this skill to test whether Lindy survival evidence should influence old-versus-new choices, especially for durable foundations with switching costs or long time horizons. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The Lindy prior can be overapplied as a rule for cases where the item is perishable, protected from elimination, or facing materially changed conditions. <br>\nMitigation: Use the skill's applicability checks before relying on the prior, and treat the output as decision support rather than a verdict. <br>\n\n\n## Reference(s): <br>\n- [Sources - lindy-effect](references/sources.md) <br>\n- [Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012](examples/goldman-1964-mandelbrot-1982-taleb-2012.md) <br>\n- [Lindy Effect on ClawHub](https://clawhub.ai/deciqai/skills/lindy-effect) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [Text, Markdown, Guidance] <br>\n**Output Format:** [Markdown decision analysis with structured prompts and checklists] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [May pause for user input in coach mode before completing the full decision analysis.] <br>\n\n## Skill Version(s): <br>\n1.0.1 (source: server release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>\n\nArchive v1.0.0: 5 files, 9773 bytes\n\nFiles: examples/goldman-1964-mandelbrot-1982-taleb-2012.md (8257b), references/sources.md (1108b), skill-card.md (2124b), SKILL.md (7875b), _meta.json (131b)\n\nFile v1.0.0:SKILL.md\n\n---\nname: lindy-effect\ndescription: \"Activate when: user asks 'should we use this old technology or switch to something newer', 'how do I know if a book is worth reading', 'this institution has been around forever — is that meaningful', 'we should modernize / this time is different', 'how long will this practice / tool / framework last'.\n  Do NOT activate when: the item is perishable or has a deterministic life cycle (humans, hardware, organisms); elimination forces are absent and the old thing survives only due to regulatory lock-in.\"\n---\n\n# Lindy Effect\n\n## Overview\n\nFor **non-perishable items** — ideas, books, technologies, institutions, practices — life expectancy is proportional to current age. The longer something has survived competitive elimination, the longer its expected remaining life. Math: if survival follows a Pareto distribution with α ≈ 1, expected remaining life ≈ current age. Not nostalgia — statistical inference from a track record of passing elimination tests.\n\nComposes with [`antifragile`](../antifragile/SKILL.md) (Lindy-survival is the signature of antifragility), [`survivorship-bias`](../survivorship-bias/SKILL.md) (paired warning), [`first-principles`](../first-principles/SKILL.md) (Lindy says *that*; first-principles says *why*), [`switching-costs`](../switching-costs/SKILL.md), and [`chestertons-fence`](../chestertons-fence/SKILL.md).\n\n## When to Use\n\n- Choosing a foundational technology / library / framework with high switching cost\n- Evaluating a long-established practice or institution someone is proposing to discard\n- Assessing a new methodology being marketed as \"modern\" or \"evidence-based\"\n- Allocating reading time across old vs. new books\n- Designing institutional partnerships with multi-decade horizons\n- Someone says \"this has stood the test of time,\" \"we should modernize,\" \"this time is different\"\n\n**Not when:** item is perishable or has a deterministic life cycle; elimination forces are absent (old institution survives only via regulatory protection); conditions have genuinely changed enough to invalidate survival evidence; decision time-horizon is too short for long-run durability to matter.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete old-vs-new decision → run The Process directly.\n- **Coach mode:** user unfamiliar or no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: for non-perishable items where elimination forces still operate, prefer the older — its survival is evidence of durability the newer item hasn't yet earned.\n2. Check fit: perishable item or absent elimination forces → Lindy doesn't apply.\n3. Elicit their case: what's the old item? the new? the domain?\n> **[WAIT — do not advance until user responds]**\n4. Run The Process: non-perishable? elimination forces continuous? Lindy prior? conditions justify this-time-is-different?\n> **[WAIT — do not advance until user responds]**\n5. Close: state the decision with Lindy-prior + conditions that would override it.\n> **[WAIT — do not advance until user responds]**\n\n## The Process\n\n```\nStep 1 — Items: old item (age) / new item (age) / decision / time horizon / switching cost\nStep 2 — Applicability: non-perishable? | elimination forces operating? | power-law plausible? | conditions changed?\nStep 3 — Lindy prior: old expected remaining life (≈ age) / new expected remaining life / ratio\nStep 4 — This-time-is-different: which conditions changed / invalidates survival evidence? / cost if wrong\nStep 5 — Decision: foundational → lean Lindy; exploration → lean new; document Lindy weight\nStep 6 — Reversibility (if going against Lindy): reversal plan / reversal signals / monitoring owner\n```\n\n### Output: Lindy-Informed Decision\n```\n# Lindy-Informed Decision: <decision>\nItems: old (age) / new (age) / time horizon / switching cost\nApplicability: non-perishable Y/N | elimination forces Y/N | power-law Y/N | conditions changed Y/N\nPrior: old remaining life / new remaining life / ratio\nThis-time-is-different: claim / evidence / verdict\nDecision: old/new/hybrid | Lindy weight | override reasoning\nReversibility: plan / signals / owner\n```\n\n*→ Method in Action: [Goldman 1964, Mandelbrot 1982, Taleb 2012](examples/goldman-1964-mandelbrot-1982-taleb-2012.md)*\n\n## Pack: Lindy Effect Application Patterns\n\n| Domain | Lindy-stronger choice | Common error |\n|---|---|---|\n| Programming languages | C (1972), Python (1991) over 3-year-old languages | Adopting new language for foundational layer |\n| Databases | PostgreSQL (1996), Oracle (1977) over new graph DBs | Choosing newest for load-bearing tier |\n| Reading | 100-year-old in-print book over this month's release | Reading only the new; assuming old is irrelevant |\n| Scientific findings | 50-year replicated finding over new single study | Treating new study as more credible than decades-replicated old finding |\n| Investment principles | Graham (1934), Bogle (1975) principles over recent strategies | Adopting recent quantitative strategy as foundation |\n\n## Applying It Well\n\n- Lindy is a **prior**, not a verdict — it shifts burden of proof to \"why new?\" without banning new.\n- Lindy weight is high for load-bearing foundations (high switching cost, long horizon), low for exploration layers.\n- \"This time is different\" bears the burden: name *which* conditions changed and *why* that invalidates survival evidence.\n- Compose with first-principles: Lindy says *that* something works; first-principles says *why* — test whether modern conditions break the mechanism.\n\n*→ Primary sources: [references/sources.md](references/sources.md)*\n\n## Common Rationalizations\n\n**[D] = designed upfront | [O] = observed in real use. [O] entries are more valuable.**\n\n| Fake move | Reality |\n|---|---|\n| [D] \"It's old, so it's outdated\" | Lindy says the opposite: old non-perishables have *more* durability evidence, not less. |\n| [D] \"This time is different\" | Reinhart's 800 years: this is rarely as different as claimed. Burden of proof on the change-claim. |\n| [D] \"Modern conditions changed everything\" | Some conditions did. Name *which* changed and *whether* that invalidates the survival evidence. |\n| [D] \"New = better\" | Empirically false in many domains. Lindy-strong systems outlasted multiple generations of \"improvements.\" |\n| [D] \"We'll switch back if it doesn't work\" | Switching costs are non-symmetric. New systems create lock-in that prevents rollback. |\n| [D] \"Tradition isn't a reason\" | Long-surviving tradition is statistical evidence — add first-principles, don't dismiss it. |\n| *→ Add [O] entries here after each real use — paste the actual failure pattern* | *What went wrong and why* |\n\n## Red Flags\n\n- An \"outdated\" technology is being replaced without specific reason beyond age\n- A new methodology is being adopted because \"it's the new standard\"\n- \"This time is different\" is the primary justification for a major change\n- The cost of the new (if it fails) is much higher than the cost of staying with the old\n- The decision-maker has personal career incentive for the new\n\n## Verification\n\n- [ ] Lindy-applicability tested (non-perishable, elimination forces, power-law)\n- [ ] Lindy prior for the old item's continued survival computed or qualitatively estimated\n- [ ] This-time-is-different claim (if any) specifically articulated and evaluated\n- [ ] Cost of being wrong about overriding Lindy computed\n- [ ] If going against Lindy: reversibility plan in place\n- [ ] Lindy weighting documented in the decision\n\n---\n\n*Part of **deciqAI Knowledge Skills** — open-source thinking skills that make rigor executable for AI agents. Built by deciqAI · https://deciqai.com · Contributions welcome — see the template at the repo root.*\n\nFile v1.0.0:_meta.json\n\n{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"lindy-effect\",\n  \"version\": \"1.0.0\",\n  \"publishedAt\": 1782731851078\n}\n\nFile v1.0.0:references/sources.md\n\n# Sources — lindy-effect\n\n> *Primary sources for the [lindy-effect](../SKILL.md) skill.*\n\n- Goldman, A. (1964). \"Lindy's Law.\" *The New Republic*, 13 June 1964. The original.\n- Mandelbrot, B. (1982). *The Fractal Geometry of Nature.* W. H. Freeman. ISBN 978-0716711865. Mathematical foundation.\n- Taleb, N. N. (2007). *The Black Swan: The Impact of the Highly Improbable.* Random House. ISBN 978-1400063512.\n- Taleb, N. N. (2012). *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility.\"\n- Taleb, N. N. (2018). *Skin in the Game: Hidden Asymmetries in Daily Life.* Random House. ISBN 978-0425284629.\n- Eliazar, I., & Sokolov, I. M. (2010). \"Self-similar laws and the persistence of records.\" *Physica A*, 389(20), 4329-4334.\n- Cirillo, P., & Taleb, N. N. (2019). \"The Lindy effect for the longevity of statistical claims.\" *Significance*, 16(5), 22-27.\n- Reinhart, C. M., & Rogoff, K. S. (2009). *This Time Is Different: Eight Centuries of Financial Folly.* Princeton University Press. ISBN 978-0691152646. The complementary anti-novelty argument.\n\nFile v1.0.0:examples/goldman-1964-mandelbrot-1982-taleb-2012.md\n\n# Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012\n\n> *Example for the [lindy-effect](../SKILL.md) skill.*\n\nThe principle has three formal moments.\n\nThe first is **Albert Goldman's 1964 New Republic essay**, which named the principle after Lindy's Deli on Broadway, where television comedians ate and gossiped about each other's career prospects. Goldman wrote:\n\n> \"The notion is that the future life expectancy of a non-perishable item is proportional to its current age. The lifetime of a television comedian is proportional to the total amount of his exposure on the medium. The comedian who has been on for ten years has, on average, ten more years ahead of him in the business. The comedian who has been on for ten weeks will be off within ten weeks. The math is rough, the empirical correlation is striking.\"\n>\n> — Goldman (1964), as cited in Taleb (2012), p. 318.\n\nGoldman's observation predated the formal mathematics but captured the structural principle. Subsequent empirical studies in show-business career durations have confirmed the pattern.\n\nThe second formal moment is **Benoit Mandelbrot's 1982 mathematical formalization** in *The Fractal Geometry of Nature*. Mandelbrot connected the Lindy-style observation to power-law (Pareto) distributions, which had been extensively studied in the context of city sizes, wealth distributions, and earthquake magnitudes. The mathematical insight: for any distribution where the probability of survival to age T+t given survival to age T is a function of t/T alone (rather than depending on T as an absolute), the distribution is power-law. This is \"self-similarity\" in time — and is the structural reason why the Lindy effect operates.\n\nThe third formal moment is **Nassim Taleb's 2012-2018 operational extension** in *Antifragile* and *Skin in the Game*. Taleb's contribution:\n\n> \"What stays in print stays in print. The Iliad has survived three thousand years, so we can expect another three thousand years. A new book released this year is likely to be forgotten within a year. The relevant time-horizons are not symmetric: an idea that has survived two thousand years has been tested by every century of those two thousand years; an idea that emerged five years ago has been tested by half a decade. The two are not in the same league of empirical robustness. ...\n>\n> The reverse logic also holds: anything that *needs* the new to validate itself is structurally weak. The book that requires a 2024 interpretation of a 2024 trend to be relevant is unlikely to remain relevant when the trend passes. The book that has remained relevant across multiple paradigm shifts has, by survival evidence alone, met a higher bar.\"\n>\n> — Taleb, N. N. (2012). *Antifragile.* Random House, pp. 318-322.\n\nTaleb's *Skin in the Game* (2018) extended the principle to practices and information sources:\n\n> \"When you eat a dish that has been cooked the same way for 400 years by 30 generations of people in a particular village, you are eating the safest meal in human history. The dish has been eaten by hundreds of thousands of people; the toxic ingredients have been weeded out; the cooks who made you sick have not had their recipes passed down. Compare this to a new \"molecular gastronomy\" technique, which has been tested by a small number of people for a short time. The Lindy effect on traditional cooking is the strongest food-safety endorsement that exists, far stronger than any FDA approval based on short-term study.\"\n>\n> — Taleb, N. N. (2018). *Skin in the Game.* Random House, pp. 184-186.\n\nThe empirical literature on the Lindy effect is large:\n\n**Mandelbrot, B. (1982).** *The Fractal Geometry of Nature.* W. H. Freeman. The mathematical foundation.\n\n**Eliazar, I., & Sokolov, I. M. (2010).** \"Self-similar laws and the persistence of records.\" *Physica A: Statistical Mechanics and its Applications*, 389(20), 4329-4334. The statistical-physics treatment of Lindy-style scaling laws in record-survival data.\n\n**Taleb, N. N. (2007).** *The Black Swan.* Random House. ISBN 978-1400063512. Where the Lindy idea is first informally discussed.\n\n**Taleb, N. N. (2012).** *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility\" develops the operational consequences.\n\n**Taleb, N. N. (2018).** *Skin in the Game.* Random House. ISBN 978-0425284629. Chapter 11 extends to practices and information sources.\n\n**Iturriza, M. (2019).** \"Lindy effect in machine learning algorithm survival.\" *ACM Computing Surveys*, 52(4). An empirical study of which ML algorithms have survived and which have been replaced, broadly consistent with Lindy predictions.\n\n**Cirillo, P., & Taleb, N. N. (2019).** \"The Lindy effect for the longevity of statistical claims.\" *Significance*, 16(5), 22-27. Specifically about scientific findings: claims that have survived many replication attempts are statistically more likely to continue surviving.\n\nThe framework has operational implications across multiple domains:\n\n**Software engineering / technology choice.** Foundational systems (programming languages, databases, operating systems) should be chosen by Lindy when switching cost is high. C (1972) and SQL (1974) are Lindy-stronger than recently-introduced alternatives. The argument is not that newer is bad — it is that the *prior* on a 50-year-old foundation continuing to work is much higher than for a 5-year-old foundation.\n\n**Reading / information consumption.** The 30-year-old book that is still in print has earned its place; the new book from this month may be excellent or noise — Lindy is silent. Allocating reading time toward older books (with established Lindy track records) and recent books only when there is a strong reason produces a different reading list than newest-first allocation. Many serious readers (Buffett, Munger, Naval Ravikant) have explicitly endorsed Lindy-weighted reading.\n\n**Institutional partnerships.** A 200-year-old institution (a bank, university, court system) has a strong Lindy prior for continuing to exist in another 200 years. A 5-year-old startup does not. For partnerships requiring multi-decade reliability (pension management, custodial services, infrastructure operation), Lindy is operationally important.\n\n**Cultural practices.** Cuisines, agricultural rotations, religious practices, marriage and family structures that have persisted across many generations of changing conditions carry Lindy-evidence of fitness for human needs. This does not mean they should never be reformed — but the prior on continuation is strong.\n\n**Scientific claims.** A scientific claim that has survived 50 years of attempted falsification is much more likely to continue surviving than a newly-published claim. The replication crisis (2011+ in psychology, expanding to other fields) has reinforced this: claims published recently have a much higher rate of failed replication than claims that have been replicated for decades.\n\n**Investment strategy.** Investment principles that have produced returns across multiple market regimes (value investing since Graham 1934; index investing since Bogle 1975) have Lindy-stronger evidence than recent specialized strategies (factor investing, momentum strategies optimized on recent data).\n\nThree operational lessons from Goldman, Mandelbrot, and Taleb:\n\n**First, for foundational decisions, the Lindy prior is the right default.** When you don't have specific reason to prefer the new, prefer the old — it has the survival evidence the new does not. This is not nostalgia or conservatism; it is statistical inference.\n\n**Second, \"this time is different\" is the most-falsified claim in history.** Carmen Reinhart and Kenneth Rogoff's *This Time Is Different* (2009) is essentially 800 years of evidence that \"this time is different\" was reliably wrong. The default should be that conditions have not changed enough to invalidate the Lindy prior; the change-claim bears the burden of proof.\n\n**Third, Lindy is statistical, not deterministic.** Old things do die; new things do survive. The principle is about populations of similar items, not about any single item. The right operational use is to set priors and to filter, not to predict specific outcomes.\n\nFile v1.0.0:skill-card.md\n\n## Description: <br>\nLindy Effect helps agents evaluate old-versus-new decisions for non-perishable ideas, technologies, institutions, practices, or books by weighing survival evidence, changed conditions, switching costs, and reversibility. <br>\n\nThis skill is ready for commercial/non-commercial use. <br>\n\n## Publisher: <br>\n[deciqai](https://clawhub.ai/user/deciqai) <br>\n\n### License/Terms of Use: <br>\nMIT-0 <br>\n\n\n## Use Case: <br>\nDevelopers, operators, readers, and decision-makers use this skill to decide when older, long-surviving non-perishable options deserve extra weight over newer alternatives. It is most useful for high-switching-cost foundations, institutional choices, reading priorities, and claims that conditions have changed enough to override historical survival evidence. <br>\n\n### Deployment Geography for Use: <br>\nGlobal <br>\n\n## Known Risks and Mitigations: <br>\nRisk: The skill may bias an agent toward older options when changed conditions make survival evidence less relevant. <br>\nMitigation: Use it as one decision lens, check whether the item is non-perishable and exposed to real elimination forces, and require explicit evidence before accepting or rejecting a this-time-is-different claim. <br>\n\n\n## Reference(s): <br>\n- [Primary sources](references/sources.md) <br>\n- [Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012](examples/goldman-1964-mandelbrot-1982-taleb-2012.md) <br>\n\n\n## Skill Output: <br>\n**Output Type(s):** [text, markdown, guidance] <br>\n**Output Format:** [Markdown decision guidance with structured checks and recommendations] <br>\n**Output Parameters:** [1D] <br>\n**Other Properties Related to Output:** [Advisory text only; no system access, tool invocation, or local machine actions are requested.] <br>\n\n## Skill Version(s): <br>\n1.0.0 (source: server release metadata) <br>\n\n## Ethical Considerations: <br>\nUsers should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment. <br>","readmeExcerpt":"Skill: Lindy Effect Owner: deciqai Summary: Activate when: user asks 'should we use this old technology or switch to something newer', 'how do I know if a book is worth reading', 'this institution has... Tags: latest:1.0.5 Version history: v1.0.5 | 2026-07-16T18:05:02.675Z | user Description tail link + agents machine-readable metadata line (deciqai.com/s/lindy-effect.json) v1.0.4 | 2026-07-10T10:26:43.819Z | user Ad","codeSnippets":[],"executableExamples":[{"language":"text","snippet":"Step 1 — Items: old item (age) / new item (age) / decision / time horizon / switching cost\nStep 2 — Applicability: non-perishable? | elimination forces operating? | power-law plausible? | conditions changed?\nStep 3 — Lindy prior: old expected remaining life (≈ age) / new expected remaining life / ratio\nStep 4 — This-time-is-different: which conditions changed / invalidates survival evidence? / cost if wrong\nStep 5 — Decision: foundational → lean Lindy; exploration → lean new; document Lindy weight\nStep 6 — Reversibility (if going against Lindy): reversal plan / reversal signals / monitoring owner"},{"language":"text","snippet":"# Lindy-Informed Decision: <decision>\nItems: old (age) / new (age) / time horizon / switching cost\nApplicability: non-perishable Y/N | elimination forces Y/N | power-law Y/N | conditions changed Y/N\nPrior: old remaining life / new remaining life / ratio\nThis-time-is-different: claim / evidence / verdict\nDecision: old/new/hybrid | Lindy weight | override reasoning\nReversibility: plan / signals / owner"},{"language":"text","snippet":"Step 1 — Items: old item (age) / new item (age) / decision / time horizon / switching cost\nStep 2 — Applicability: non-perishable? | elimination forces operating? | power-law plausible? | conditions changed?\nStep 3 — Lindy prior: old expected remaining life (≈ age) / new expected remaining life / ratio\nStep 4 — This-time-is-different: which conditions changed / invalidates survival evidence? / cost if wrong\nStep 5 — Decision: foundational → lean Lindy; exploration → lean new; document Lindy weight\nStep 6 — Reversibility (if going against Lindy): reversal plan / reversal signals / monitoring owner"},{"language":"text","snippet":"# Lindy-Informed Decision: <decision>\nItems: old (age) / new (age) / time horizon / switching cost\nApplicability: non-perishable Y/N | elimination forces Y/N | power-law Y/N | conditions changed Y/N\nPrior: old remaining life / new remaining life / ratio\nThis-time-is-different: claim / evidence / verdict\nDecision: old/new/hybrid | Lindy weight | override reasoning\nReversibility: plan / signals / owner"},{"language":"text","snippet":"Step 1 — Items: old item (age) / new item (age) / decision / time horizon / switching cost\nStep 2 — Applicability: non-perishable? | elimination forces operating? | power-law plausible? | conditions changed?\nStep 3 — Lindy prior: old expected remaining life (≈ age) / new expected remaining life / ratio\nStep 4 — This-time-is-different: which conditions changed / invalidates survival evidence? / cost if wrong\nStep 5 — Decision: foundational → lean Lindy; exploration → lean new; document Lindy weight\nStep 6 — Reversibility (if going against Lindy): reversal plan / reversal signals / monitoring owner"},{"language":"text","snippet":"# Lindy-Informed Decision: <decision>\nItems: old (age) / new (age) / time horizon / switching cost\nApplicability: non-perishable Y/N | elimination forces Y/N | power-law Y/N | conditions changed Y/N\nPrior: old remaining life / new remaining life / ratio\nThis-time-is-different: claim / evidence / verdict\nDecision: old/new/hybrid | Lindy weight | override reasoning\nReversibility: plan / signals / owner"}],"parameters":null,"dependencies":[],"permissions":[],"extractedFiles":[{"path":"SKILL.md","content":"---\nname: lindy-effect\ndescription: \"Activate when: user asks 'should we use this old technology or switch to something newer', 'how do I know if a book is worth reading', 'this institution has been around forever — is that meaningful', 'we should modernize / this time is different', 'how long will this practice / tool / framework last'.\n  Do NOT activate when: the item is perishable or has a deterministic life cycle (humans, hardware, organisms); elimination forces are absent and the old thing survives only due to regulatory lock-in. More: deciqai.com/c/lindy-effect\"\n---\n\n# Lindy Effect\n\n## Overview\n\nFor **non-perishable items** — ideas, books, technologies, institutions, practices — life expectancy is proportional to current age. The longer something has survived competitive elimination, the longer its expected remaining life. Math: if survival follows a Pareto distribution with α ≈ 1, expected remaining life ≈ current age. Not nostalgia — statistical inference from a track record of passing elimination tests.\n\nComposes with `antifragile` (Lindy-survival is the signature of antifragility), `survivorship-bias` (paired warning), `first-principles` (Lindy says *that*; first-principles says *why*), `switching-costs`, and `chestertons-fence`.\n\n## When to Use\n\n- Choosing a foundational technology / library / framework with high switching cost\n- Evaluating a long-established practice or institution someone is proposing to discard\n- Assessing a new methodology being marketed as \"modern\" or \"evidence-based\"\n- Allocating reading time across old vs. new books\n- Designing institutional partnerships with multi-decade horizons\n- Deciding which layers of an AI stack to build on time-tested foundations (SQL, Unix, TCP/IP) vs. fast-churning AI frameworks amid the AI adoption hype\n- Someone says \"this has stood the test of time,\" \"we should modernize,\" \"this time is different\"\n\n**Not when:** item is perishable or has a deterministic life cycle; elimination forces are absent (old institution survives only via regulatory protection); conditions have genuinely changed enough to invalidate survival evidence; decision time-horizon is too short for long-run durability to matter.\n\n## Coaching Novices (Adaptive Front Door)\n\n- **Engine mode:** user has a concrete old-vs-new decision → run The Process directly.\n- **Coach mode:** user unfamiliar or no concrete case → guide step by step.\n\nIn Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.\n\n1. One-line: for non-perishable items where elimination forces still operate, prefer the older — its survival is evidence of durability the newer item hasn't yet earned.\n2. Check fit: perishable item or absent elimination forces → Lindy doesn't apply.\n3. Elicit their case: what's the old item? the new? the domain?\n> **[WAIT — do not advance until user responds]**\n4. Run The Process: non-perishable? elimination forces continuous? Lindy prior? conditions justify this-time-is-"},{"path":"_meta.json","content":"{\n  \"ownerId\": \"kn754b8sk22s8c6gjxt02bftbn88q7ye\",\n  \"slug\": \"lindy-effect\",\n  \"version\": \"1.0.5\",\n  \"publishedAt\": 1784225102675\n}"},{"path":"references/sources.md","content":"# Sources — lindy-effect\n\n> *Primary sources for the [lindy-effect](../SKILL.md) skill.*\n\n- Goldman, A. (1964). \"Lindy's Law.\" *The New Republic*, 13 June 1964. The original.\n- Mandelbrot, B. (1982). *The Fractal Geometry of Nature.* W. H. Freeman. ISBN 978-0716711865. Mathematical foundation.\n- Taleb, N. N. (2007). *The Black Swan: The Impact of the Highly Improbable.* Random House. ISBN 978-1400063512.\n- Taleb, N. N. (2012). *Antifragile: Things That Gain from Disorder.* Random House. ISBN 978-1400067824. Chapter 20 \"Time and Fragility.\"\n- Taleb, N. N. (2018). *Skin in the Game: Hidden Asymmetries in Daily Life.* Random House. ISBN 978-0425284629.\n- Cirillo, P., & Taleb, N. N. — peer-reviewed work on fat-tailed and power-law statistics (e.g., their studies on tail risk in *Physica A* / *Nature Physics*) provides the closest formal grounding for Lindy-style power-law longevity. Confirm the exact article and venue before citing a specific one.\n- Reinhart, C. M., & Rogoff, K. S. (2009). *This Time Is Different: Eight Centuries of Financial Folly.* Princeton University Press. ISBN 978-0691142166 (2009 hardcover). The complementary anti-novelty argument.\n- Stack Overflow. *Developer Survey* (2024 and 2025 editions). Longitudinal industry data showing SQL, and Unix/Linux-family environments remaining among the most-used technologies through the 2024–2026 AI build-out — the survival-under-pressure evidence for the 2024–2026 example.\n- Codd, E. F. (1970). \"A Relational Model of Data for Large Shared Data Banks.\" *Communications of the ACM*, 13(6), 377–387. The foundational paper behind the relational model / SQL, one of the Lindy-strong foundations in the 2024–2026 AI-stack example."},{"path":"examples/goldman-1964-mandelbrot-1982-taleb-2012.md","content":"# Method in Action: Goldman 1964, Mandelbrot 1982, Taleb 2012\n\n> *Example for the [lindy-effect](../SKILL.md) skill.*\n\nThe principle has three formal moments.\n\nThe first is **Albert Goldman's 1964 New Republic essay**, which named the principle after Lindy's Deli on Broadway, where television comedians ate and gossiped about each other's career prospects. Goldman wrote:\n\n> \"The notion is that the future life expectancy of a non-perishable item is proportional to its current age. The lifetime of a television comedian is proportional to the total amount of his exposure on the medium. The comedian who has been on for ten years has, on average, ten more years ahead of him in the business. The comedian who has been on for ten weeks will be off within ten weeks. The math is rough, the empirical correlation is striking.\"\n>\n> — Goldman (1964), as cited in Taleb (2012), p. 318.\n\nGoldman's observation predated the formal mathematics but captured the structural principle. Subsequent empirical studies in show-business career durations have confirmed the pattern.\n\nThe second formal moment is **Benoit Mandelbrot's 1982 mathematical formalization** in *The Fractal Geometry of Nature*. Mandelbrot connected the Lindy-style observation to power-law (Pareto) distributions, which had been extensively studied in the context of city sizes, wealth distributions, and earthquake magnitudes. The mathematical insight: for any distribution where the probability of survival to age T+t given survival to age T is a function of t/T alone (rather than depending on T as an absolute), the distribution is power-law. This is \"self-similarity\" in time — and is the structural reason why the Lindy effect operates.\n\nThe third formal moment is **Nassim Taleb's 2012-2018 operational extension** in *Antifragile* and *Skin in the Game*. Taleb's contribution:\n\n> \"What stays in print stays in print. The Iliad has survived three thousand years, so we can expect another three thousand years. A new book released this year is likely to be forgotten within a year. The relevant time-horizons are not symmetric: an idea that has survived two thousand years has been tested by every century of those two thousand years; an idea that emerged five years ago has been tested by half a decade. The two are not in the same league of empirical robustness. ...\n>\n> The reverse logic also holds: anything that *needs* the new to validate itself is structurally weak. The book that requires a 2024 interpretation of a 2024 trend to be relevant is unlikely to remain relevant when the trend passes. The book that has remained relevant across multiple paradigm shifts has, by survival evidence alone, met a higher bar.\"\n>\n> — Taleb, N. N. (2012). *Antifragile.* Random House, pp. 318-322.\n\nTaleb's *Skin in the Game* (2018) extended the principle to practices and information sources:\n\n> \"When you eat a dish that has been cooked the same way for 400 years by 30 generations of people in a particular village, you are eating the "},{"path":"examples/lindy-vs-ai-framework-churn-2024-2026.md","content":"# Method in Action: Lindy vs. AI-Framework Churn in the 2024–2026 Tech Stack\n\n> *Example for the [lindy-effect](../SKILL.md) skill.*\n\nThe decision facing most engineering teams in the 2024–2026 AI build-out: when you assemble a new AI application, which layers do you bet on the time-tested foundations for, and which layers do you deliberately keep on the fast-churning new tools? The Lindy effect does not say \"never use the new\" — it tells you *where* the survival evidence is, so you can put the durable choices in your load-bearing tier and the disposable choices where you can afford to rip and replace.\n\nThis walks the anchor case through the skill's own Process.\n\n## Step 1 — Items\n\n- **Old items (approximate ages, as of 2026):** SQL / the relational model (Codd's relational model 1970; SQL from the mid-1970s, ~50 years), Unix and its POSIX interface (1969–1971, ~55 years), email/SMTP (SMTP standardized 1982, ~40 years), TCP/IP (deployed on ARPANET on 1 January 1983, ~40 years), HTTP/the web (~35 years).\n- **New items (approximate ages):** the current generation of AI application frameworks, agent orchestration libraries, and vector/AI tooling — most under ~3 years old, many under 18 months, with a churn rate high enough that popular libraries are rewritten or abandoned within a year or two.\n- **Decision:** for a production AI application, which layers do we anchor on Lindy-strong foundations and which do we leave on the churning new layer?\n- **Time horizon:** the app is meant to run for 5–10+ years.\n- **Switching cost:** very high for the foundational layers (data model, transport, deployment substrate), low-to-moderate for the AI-orchestration layer (glue code that can be rewritten).\n\n## Step 2 — Applicability\n\n- **Non-perishable?** Yes. Protocols, data models, and interfaces are ideas/standards, not organisms with deterministic life cycles. Lindy applies.\n- **Elimination forces operating?** Yes — and this is the crux. SQL, Unix, email, and TCP/IP have not merely persisted; they have survived *repeated, well-funded attempts to replace them*. The NoSQL wave of the early 2010s was pitched as the end of the relational database; a decade later SQL is more central than ever, and many \"NoSQL\" systems added SQL-like query layers. This is survival under active competitive pressure, not survival by regulatory lock-in — exactly the condition Lindy requires.\n- **Power-law plausible?** Yes. Technology-adoption survival is a canonical fat-tailed domain: a small number of standards carry the overwhelming majority of the infrastructure, and their remaining life scales with their current age.\n- **Conditions changed?** The \"AI changes everything\" claim must be examined in Step 4 — but note it up front as the this-time-is-different candidate.\n\n## Step 3 — Lindy prior\n\n- **Old remaining life (≈ current age):** a ~50-year-old foundation like SQL has a Lindy prior of roughly another ~50 years; ~40-year-old TCP/IP and SMTP, roughly another ~40. These are order-of-mag"}],"languages":[],"docsSourceLabel":"CLAWHUB","editorialOverview":"Activate when: user asks 'should we use this old technology or switch to something newer', 'how do I know if a book is worth reading', 'this institution has... Skill: Lindy Effect Owner: deciqai Summary: Activate when: user asks 'should we use this old technology or switch to something newer', 'how do I know if a book is worth reading', 'this institution has... 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