Three People ≠ Everyone
The Setup
You visit a new city for a weekend trip. First interaction: you get bumped into and the person doesn't say sorry. Second: someone at the coffee shop is rude. Third: a driver honks at you for no reason.
Monday morning back home: "people from [city] are so rude, literally everyone there is like that"
You've just met three humans out of potentially millions. And you've already filed them all.
This is a Hasty Generalization. And your brain does it constantly.
The Pattern
You experience something with a small number of examples.
You declare it true for the entire group.
That's it. That's the whole trap. It feels like pattern recognition — which is smart! — but it breaks down when the sample is too small.
Three rude people in a city of 3 million isn't data. It's a Tuesday.
Where You've Seen This
Comment sections:
One bad experience with a product: "this brand is TRASH, everything they make is garbage"
One bad experience with a player: "all [nationality] players are toxic, instant mute"
One bad teacher: "math teachers literally hate students, every single one"
School version:
"I tried running once and hated it. Exercise isn't for me."
One run. One conclusion. Eternity.
TikTok For You Page:
You watch three videos from a specific type of creator and now the algorithm thinks you love that content. And it keeps serving it. And you think "everyone on here is like this" — but really you just got three of them in a row.
The stereotype machine:
Most stereotypes — about regions, groups, fandoms, subcultures — were built on exactly this. A handful of examples, generalized to everyone in the category.
Gamers are all basement-dwellers. Influencers are all shallow. Vegans are all preachy. K-pop fans are all obsessive.
You know these are wrong when applied to everyone. But you probably still have a few of your own that you haven't checked yet.
Why Your Brain Does This
Evolution. Seriously.
Your ancestors needed to make fast decisions. Is that berry safe? Is that stranger a threat? Slow thinkers got eaten. Fast pattern-matchers survived.
So your brain is built to generalize quickly. It's efficient. Most of the time it works fine.
But it's also how you end up writing off an entire group of people based on a Tuesday afternoon in a city you visited once.
The skill isn't to stop noticing patterns. It's to check if your sample size actually supports the conclusion.
How to Catch Yourself
Questions to ask:
How many examples do I actually have?
If it's under 10, maybe hold off on declaring universal truth.
How representative is my sample?
Three people in one neighborhood at one time of day isn't "everyone."
Could I be selecting for the bad ones?
Negative experiences are more memorable. Your brain logs them harder. That creates a bias toward thinking things are worse than they are.
Have I actively looked for counterexamples?
If not, you've only been collecting evidence for your conclusion. That's called confirmation bias — and it teams up with hasty generalization constantly.
The Challenge
Pick one generalization you currently hold about a group of people — a fandom, a school clique, a type of person, a nationality, a city.
Now go find five real examples that don't fit.
Not to change your mind. Just to check: is your sample actually big enough to make the claim?
Bet you'll find the five in under ten minutes. And bet it complicates the picture.
That's the point.