The longer something has survived, the longer it's likely to survive. That's the Lindy effect. A book that's been in print for 40 years has a longer expected future than a book that's been in print for 2 years. A technology that's been in use for a century has a longer expected future than one that's been in use for a decade. The logic is that non-perishable things (ideas, institutions, technologies) don't have a fixed lifespan — they're not like fruit. Every day they survive is a day they've passed a test. The longer the streak, the more robust they've proven. So conditional on having survived to date, expected remaining life increases with age. Lindy is named after Lindy's deli in New York, where comedians supposedly observed that a comic who had been performing for 20 years had about 20 years left; one who had been performing for 5 had about 5 left. The rule of thumb: expected future life is proportional to past life.
The effect is a heuristic, not a law. Some things die after a long run — empires, companies, technologies. But for the class of things that don't have a predetermined expiry (unlike humans or contracts), longevity is informative. Use it to prioritise what to read (old books have been stress-tested), what to build on (old technologies and institutions have durability), and what to bet on (the thing that's been around has passed more tests). The mistake is recency bias: assuming the new thing is better because it's new. Lindy says the old thing has a claim on the future precisely because it's old. The second mistake is applying Lindy to perishables. It's for ideas, institutions, and technologies — not for people or for assets with fixed maturity.
Section 2
How to See It
The Lindy effect shows up when you're choosing between the new and the old, or when you're estimating how long something will last. The diagnostic: has this thing been around a long time? If so, its expected remaining life is longer than something that just appeared. Look for the comparison: the 50-year-old company vs the 5-year-old, the century-old idea vs the viral trend. Lindy favours the former when you care about durability.
Business
You're seeing the Lindy Effect when you choose which standards and practices to adopt. A company that's been profitable for 30 years has passed more stress tests than one that's been profitable for 3. A business model that's survived multiple cycles has demonstrated robustness. The effect doesn't guarantee the old will survive — but it says don't dismiss it in favour of the new. When allocating capital or partnership, longevity is information.
Technology
You're seeing the Lindy Effect when you pick infrastructure or protocols. Unix has been around for 50+ years; a new framework has been around for 2. Lindy says Unix has a longer expected future. That doesn't mean the new thing is bad — it means the old thing has proven durability. Use Lindy when you care about long-term compatibility and maintenance. Build on what's Lindy when the cost of switching later is high.
Investing
You're seeing the Lindy Effect when you weigh a 100-year-old brand vs a DTC upstart. The old brand has survived wars, recessions, and taste shifts. The upstart has passed fewer tests. Lindy says the old brand has a longer expected life — all else equal. That doesn't mean the upstart can't win; it means durability is a factor. Apply Lindy to industries, business models, and competitive positions. What's been around? What's stress-tested?
Markets
You're seeing the Lindy Effect when you think about market structure. Stock exchanges, central banks, and certain financial instruments have been around for a long time. They've survived crashes and regime changes. New instruments and platforms have not. Lindy says the old structure has a longer expected future. When you're designing for the long run, lean on what's Lindy. When you're speculating on the new, know you're betting against Lindy.
Section 3
How to Use It
Decision filter
"When choosing between the old and the new — ideas, technologies, institutions, business models — ask: how long has each survived? Lindy says the one that's been around longer has a longer expected future. Use that when durability matters. Don't apply it to perishables (people, contracts with fixed term)."
As a founder
Use Lindy when choosing what to build on and what to bet on. Adopt standards, tools, and practices that have been around — they've passed more tests. That doesn't mean never innovate; it means when the cost of being wrong is high (e.g. core stack, regulatory approach), prefer the Lindy option. When hiring or partnering, longevity of the person or firm is a signal — not the only signal, but one. The mistake is chasing every new trend. Lindy says the trend that's been a trend for a long time has more staying power than the one that appeared last quarter.
As an investor
Use Lindy when assessing durability of a business model, industry, or competitive position. The 80-year-old brand has survived more than the 8-year-old. The industry that's been around for a century has a longer expected future than the one that appeared in the last decade. That doesn't mean invest only in old things — it means factor longevity into the thesis. When you're betting on the new, you're betting it will become Lindy. When you're betting on the old, you're betting it stays Lindy. Size and horizon accordingly.
As a decision-maker
Use Lindy when making decisions that have long-term consequences. Prefer institutions, standards, and practices that have been stress-tested by time. When someone says "this is the new way," ask: what's the old way, and how long has it been around? Lindy doesn't say the new way is wrong — it says the old way has proven durability. Balance innovation with the Lindy filter when the cost of being wrong is high.
Common misapplication: Applying Lindy to perishables. Humans have a life expectancy that decreases with age. Contracts have fixed terms. Lindy applies to non-perishable things: ideas, technologies, institutions, brands. Don't use it to say a 90-year-old will live longer than a 20-year-old.
Second misapplication: Using Lindy to reject all new things. Lindy is a factor, not a veto. New things can become Lindy. The point is to weight longevity when durability matters — not to never bet on the new. The discipline is to ask "how Lindy is this?" and then combine with other criteria.
Buffett invests in businesses that have been around a long time and have durable advantages — "economic moats." The Lindy effect is implicit: a brand or business model that's survived decades has passed more tests. He prefers companies with long histories of profitability and stable demand. The new and trendy are riskier; the old and boring have proven they can last. The lesson: when you care about long-term compounding, lean Lindy.
Charlie MungerVice Chairman, Berkshire Hathaway, 1978–2023
Munger has emphasised "elementary, enduring ideas" and the value of reading old books. Old ideas have been stress-tested; they've survived the filter of time. His approach to learning and investing both reflect Lindy: prefer what's lasted. New fads come and go; the ideas that have been around for a century have a longer expected future. The discipline: build your mental models from Lindy material.
Section 6
Visual Explanation
Lindy effect: expected remaining life increases with age for non-perishables. The longer it's survived, the longer it's likely to last.
Section 7
Connected Models
The Lindy effect sits among models of durability, selection, and time. The models below either reinforce it (survivorship bias, path dependence), extend the logic (antifragility), or bound its use (time horizon, regression to the mean).
Reinforces
Survivorship Bias
Survivorship bias is the error of looking only at what survived and ignoring what died. Lindy uses survival as information: the things that survived longer have passed more tests. The reinforcement: survivorship bias warns that we overestimate from the winners; Lindy says that among the winners, the long-lived have a longer expected future. Both are about the information in survival — Lindy is the positive use of that information for non-perishables.
Reinforces
Path Dependence
Path dependence says history constrains the future — we're stuck with some outcomes because of how we got here. Lindy says that among the things we're stuck with, the ones that have been around longer are more likely to stay. The reinforcement: path dependence explains why some things persist; Lindy says that among persistent things, the older have a longer expected run. Use both when thinking about durability of institutions and technologies.
Tension
Regression to the Mean
Regression to the mean says extreme outcomes tend to revert. A company that's grown 50% for 10 years might revert. Lindy says the company that's survived 50 years has a longer expected future. The tension: regression pulls toward the average; Lindy says longevity predicts longevity. They can coexist: Lindy applies to survival (will it exist?); regression can apply to performance (will it keep outperforming?). Don't confuse the two. A long-lived company can mean-revert in returns and still be Lindy.
Tension
Section 8
One Key Quote
"The longer a nonperishable has been around, the longer its life expectancy."
— Nassim Nicholas Taleb, Antifragile (2012)
Taleb formalised and popularised the Lindy effect for ideas and institutions. The quote states the heuristic. The practitioner's move is to use it when choosing what to build on, what to read, and what to bet on — and to avoid applying it to perishables or treating it as a guarantee. Longevity is information; it's not fate.
Section 9
Analyst's Take
Faster Than Normal — Editorial View
Lindy is a filter for durability. When you're choosing standards, partners, or ideas, ask: how long has this been around? The thing that's been around has passed more tests. Use that when the cost of being wrong is high. Don't use it to reject all new things — use it to weight the old.
Apply Lindy to non-perishables only. People, contracts, and assets with fixed maturity don't follow Lindy. Ideas, technologies, institutions, and business models do. Don't say a 90-year-old will outlive a 20-year-old. Do say a 90-year-old company has a longer expected future than a 2-year-old — conditional on the business model being non-perishable.
Recency bias is the enemy. We're drawn to the new. Lindy is the corrective: the old has a claim on the future. When everyone is chasing the latest trend, ask what's been a trend for a long time. That's where Lindy points.
Combine Lindy with other criteria. Lindy is one factor. Innovation, growth, and fit matter too. Use Lindy when durability is the question — infrastructure, standards, long-term partnerships. Don't let Lindy veto every new bet; let it inform the size and horizon of the bet.
Section 10
Summary
The Lindy effect: the longer something has survived, the longer it's likely to survive. Apply it to non-perishables — ideas, technologies, institutions. Use it to prefer the old when durability matters; don't apply it to people or fixed-term assets. Avoid recency bias and using Lindy to reject all new things. Connected ideas include survivorship bias, path dependence, antifragility, and time horizon.
Taleb on the narrative fallacy and rare events. Lindy appears in the context of what we can and can't predict. Long-lived things have passed more tests.
Munger on elementary, enduring ideas and the value of old books. His approach to learning and investing reflects Lindy: prefer what's lasted.
Antifragility
Taleb's antifragility: some things gain from stress. Lindy says things that have survived have passed stress tests. The tension: Lindy is about the past informing the future; antifragility is about the mechanism (things that get stronger from volatility). The two align: the most Lindy things are often antifragile — they've survived because they benefit from stress. But Lindy is a heuristic from longevity; antifragility is a property of the system. Use Lindy to find candidates; use antifragility to understand why they lasted.
Leads-to
Time Horizon
Time horizon is how far out you're planning. Lindy informs time horizon: when you're building or investing for the long run, prefer Lindy things. The lead-to: your time horizon should match the expected life of what you're building on. If you're building for 20 years, build on things that have been around at least a few decades. Lindy tells you what's likely to be there when your horizon arrives.
Leads-to
Power Law Distribution
Power law distributions describe outcomes where a few items have most of the mass — e.g. a few ideas dominate, a few technologies persist. Lindy is consistent with power laws: the old things that have survived are the long tail; they have disproportionate expected future. The lead-to: in domains that follow power laws, Lindy helps you find the tail. The things that have been around are the ones that will be around. The new things are the long shot.
