Ninety percent of everything is crap. Theodore Sturgeon, the science-fiction writer, said it when defending his genre: when people said "90% of science fiction is crud," he replied that 90% of everything is crud — science fiction is no worse than anything else. Sturgeon's Law is the observation that in any large body of work, output, or options, the majority will be mediocre or worse. The implication is not despair; it's calibration. Don't expect most of what you encounter to be good. Plan for the need to filter. The same law applies to ideas, products, hires, deals, and content: most of what exists is in the long tail of mediocrity. The skill is finding the 10% that isn't.
The law is a useful prior. When you enter a new market, a new feed, or a new pipeline, assume most of what you see will be low quality. Allocate your attention and your bar accordingly. Don't let the 90% convince you that the whole category is worthless; the 10% may be exceptional. Don't let one great example convince you the whole category is great; the 90% is still there. Sturgeon's Law also tempers criticism of any field: if you think your domain is uniquely bad, remember that every domain is mostly bad. The difference is how well you filter and how high you set the bar.
In strategy and operations, the law suggests that quality control and curation are always necessary. You can't assume quality will average out. You need selection — hiring bars, product bars, deal bars — to get to the good 10%. The law also explains why recommendation systems, editors, and gatekeepers have value: they help people navigate the 90% to find the 10%.
Section 2
How to See It
Sturgeon's Law shows up wherever a large population of outputs exists and the distribution of quality is right-skewed: a small share is excellent, most is not.
Content
You're seeing Sturgeon's Law when you scroll a feed or browse a category and most posts, articles, or videos are forgettable or bad. A few are outstanding. The 90/10 split is the default. Platforms that don't curate or rank well force you to wade through the 90% to find the 10%. The ones that surface the best 10% win engagement.
Hiring
You're seeing Sturgeon's Law when you have hundreds of applications and only a handful are clearly strong. Most resumes are mediocre fits; a small fraction are exceptional. The law doesn't mean people are bad — it means in any large, unfiltered pool, most will be average or below for your bar. Your process must be built to find the 10%, not to give the 90% a fair shot.
Investing
You're seeing Sturgeon's Law when you see thousands of startups and only a small percentage are fundable or breakout. Most pitches are weak; most businesses stay small or fail. The power law in venture is Sturgeon's Law in disguise: 90% of outcomes are crap relative to the top. The game is to get into the 10% and to avoid the 90% that look okay but aren't.
Product
You're seeing Sturgeon's Law when you review a long backlog of feature requests, support tickets, or partnership proposals. Most are low value or noise. A few are critical. Without a filter — prioritisation, triage, bar — you drown in the 90%. The discipline is to define "good" and to spend time only on what clears the bar.
Section 3
How to Use It
Decision filter
"Assume 90% of what you encounter in any large set is mediocre or worse. Set a bar. Filter aggressively. Don't apologise for being selective — selectivity is how you get to the good 10%. And don't write off a whole category because most of it is bad; the 10% may be worth finding."
As a founder
Assume 90% of candidates, partners, and opportunities are not right for you. Set a high bar and filter fast. Don't try to be "fair" to the 90%; your job is to find and win the 10%. In product, assume 90% of ideas and requests are noise; build a process to surface the few that matter. In content and marketing, assume 90% of what you put out will underperform; focus on making the 10% that works and killing the rest. Sturgeon's Law says the default is crap — so design for selection, not for volume.
As an investor
Most deals you see will be in the 90%. Your job is to pass fast on the crap and to spend time on the potential 10%. Don't feel guilty about saying no to most things; that's the prior. The risk is false negatives — missing something in the 10% because you filtered too hard. Balance the bar with enough exposure to the pipeline so you don't miss the exceptions. The law also says: when someone dismisses a whole sector as "all bad," remember 90% of every sector is bad. The question is whether the 10% in that sector is worth finding.
As a decision-maker
In any domain with a lot of options — vendors, tools, proposals, information — assume Sturgeon's Law. Most options are mediocre. Invest in curation: criteria, filters, and the time to apply them. Don't let the 90% consume your attention. Allocate your scarce time to evaluating and choosing from the subset that clears the bar. The law is a reminder that quality is not evenly distributed; you have to select for it.
Common misapplication: Using the law to justify never exploring. "90% is crap so I won't look" is wrong. The point is that you must look with a filter to find the 10%. If you don't look at all, you get nothing. The law tells you to expect crap and to select, not to opt out.
Second misapplication: Assuming your own output is in the 10%. Everyone thinks their work is above average. Sturgeon's Law says most people are wrong. Get external signal — customers, peers, metrics — to see where you actually sit. Be ruthless about killing your own crap so you can invest in what works.
Jobs applied a brutal filter to product and people. He assumed most ideas and most work were not good enough. "We're not shipping the 90%," in effect — we're shipping the 10% that meets our bar. That meant killing many projects and saying no to many "good" ideas. The result was a product line that was small and highly curated. Sturgeon's Law was the implicit prior: most of what we could do is crap; we do only what clears the bar.
Bezos built Amazon's retail and later media businesses on the premise that most of what's out there is noise. Recommendation algorithms and ranking exist to surface the 10% — the products and content that are actually good for you. The catalog is huge (Sturgeon's 90% is there), but the experience is filtered. "Your job is to help customers find the 10% in the 90%," in spirit. Curation and bar-raising are core to the model.
Section 6
Visual Explanation
Sturgeon's Law: in any large set, assume ~90% is mediocre or worse; ~10% is worth finding. Set a bar and filter — don't expect quality to be evenly distributed.
Section 7
Connected Models
Sturgeon's Law connects to how we think about distributions, filtering, and quality. The models below either formalise the skew (Pareto, power law), help with filtering (signal vs noise, quality control), or explain why we misestimate (curse of knowledge).
Reinforces
80/20 Rule (Pareto)
Pareto says a small share of inputs often produces a large share of outputs — 20% of causes, 80% of results. Sturgeon's Law is the quality version: a small share of output (the 10%) is where most of the value is. Both say: don't treat everything equally. Identify the vital few and focus there.
Reinforces
Signal vs Noise
Most of what you see is noise; a little is signal. Sturgeon's Law says most of what exists is low-quality. The discipline in both is to filter: raise the bar, use criteria, and spend attention on what clears it. Signal vs noise is the frame; Sturgeon's Law is the prior distribution.
Reinforces
Quality Control
Quality control exists because we can't assume output is good. Sturgeon's Law is the reason: left unchecked, most output will be in the 90%. QC — inspection, bar-setting, feedback — is how you select for the 10%. The law justifies the function.
Leads-to
Curse of Knowledge
Once you know the 10%, you forget how much crap you had to wade through. The curse of knowledge is that experts underestimate how hard it is to find the good stuff. Sturgeon's Law reminds you: the 90% is still there for everyone else. When you're curating or teaching, remember the default is crap; your job is to point to the 10%.
Section 8
One Key Quote
"Ninety percent of everything is crap."
— Theodore Sturgeon (1953)
The line was Sturgeon's defence of science fiction: the genre wasn't uniquely bad, because everything is mostly bad. The takeaway is calibration. Don't expect the world to be mostly good. Expect it to be mostly mediocre, and build your filters and your bar so you get to the 10% that isn't. The quote is the whole law — simple, memorable, and broadly applicable.
Section 9
Analyst's Take
Faster Than Normal — Editorial View
Set a bar and filter. In hiring, deal flow, content, and product — assume 90% of what you see won't meet your bar. Your process should be built to find the 10%, not to give everyone a fair hearing. Speed of rejection is a feature. The risk is false negatives (missing great), so calibrate the bar with data: are we passing on people or deals that later win elsewhere? Adjust, but don't drop the filter.
Don't apologise for being selective. Sturgeon's Law says selectivity is rational. You're not being mean; you're allocating scarce attention to what's likely to be good. Explain your bar when it helps (e.g. for candidates), but don't lower it to be nice. The 90% will still be there; your job is to get to the 10%.
Kill your own crap. Most of what you or your team produce will be in the 90%. Be ruthless about killing projects, features, and content that don't clear the bar. The discipline is to have a bar and to apply it to yourself. Don't assume your output is automatically in the 10%.
Use the law when someone dismisses a whole category. "All X is bad" is usually wrong — 90% of X is bad, but 10% of X might be great. The question is whether the category has a findable 10% and whether you have a filter to get there. Don't let Sturgeon's Law become an excuse to write off entire domains.
Curation has value. Recommendation, editing, and gatekeeping exist because the 90% is real. If you're building a platform or a product that surfaces options, your job is to help users find the 10%. That's the product. Sturgeon's Law is the premise.
Section 10
Test Yourself
Is this mental model at work here?
Scenario 1
A hiring manager receives 500 applications, quickly screens out 450, and deeply evaluates 50. They hire 3.
Scenario 2
A critic says 'all social media content is low quality.' A defender says '90% of everything is low quality; social media is the same.'
Scenario 3
A founder insists that every feature request and partnership proposal deserves a careful review.
Scenario 4
A VC sees 2,000 deals a year, invests in 10, and expects 1–2 to drive most of the fund return.
Section 11
Summary & Further Reading
Summary: Sturgeon's Law — "90% of everything is crap" — is a prior for any large set of output: assume most is mediocre, and design for selection. Set a bar, filter aggressively, and invest attention in the ~10% that clears it. Use it in hiring, deal flow, product, and content. Don't apologise for being selective; don't write off whole categories (they have a 10% too). Kill your own crap. Curation and quality control exist because the law holds. The following resources extend the idea.
The origin: Sturgeon's defence of science fiction in a fanzine. The line "90% of everything is crap" entered popular use. Wikipedia and SF anthologies often cite it. The idea is simple; the applications are wide.
Anderson argues that niche content and products in the long tail can collectively matter. Sturgeon's Law says most of the tail is crap — so the value is in filtering the tail. Read both: volume in the tail, quality in the 10%.
Pareto's principle applied to business and life: focus on the vital few. Sturgeon's Law is the quality version — the vital few are the 10% that aren't crap. Koch's applications (time, customers, product) align with filtering for the 10%.
Thiel emphasises finding and building the rare thing that's truly different. The implicit prior: most ideas and companies are in the 90%. The game is to be in the 10% that creates new value. Complements Sturgeon's Law for strategy.
Kahneman documents how we overestimate the quality and representativeness of what we see. Sturgeon's Law is a corrective prior: assume most of what you see is mediocre. The book supports the need for deliberate filtering and bar-setting.
Leads-to
Power Law Distribution
Power laws describe outcomes where a tiny fraction gets most of the results — e.g. a few startups get most of the returns. Sturgeon's Law is a power law over quality: a small fraction of output is high quality. The math is similar; the application is "most things are bad, a few are great."
Tension
Long Tail
The long tail says that in aggregate, the many small things can matter — niche content, niche products. Sturgeon's Law says most of those small things are crap. The tension: the long tail is volume; Sturgeon says most of that volume is low value. The resolution is that the long tail can still be valuable if you filter. The tail has a 10% too; find it.
