The Shape of Not Knowing

The Shape of Not Knowing

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Vedant Karle·5 min·Jun 2, 2026·22 views

I learned about Bayesian curves the way most people learn anything technical; badly, in a rush, kind of annoyed about it. It was a formula on a slide. A prior, a likelihood, a posterior. Something about updating. I remembered just enough to pass and then forgot it completely.

Then a few years later it came back to me at a random moment, and I haven't been able to put it down since. So let me explain it the way I actually get it now, which is not as math.

What the curve even is

Picture a belief. Something you think is probably true but couldn't swear on.

A Bayesian doesn't hold that belief as a yes or a no. They hold it as a curve. Basically a hill. The hill is tall over the answers you think are likely, and flat over the ones you doubt. If you're really unsure, the hill is low and wide, spread thin across a lot of maybes. If you're confident, it's a sharp peak sitting over one spot.

That's it. That's the whole picture. How sure you are has a shape.

And then life happens. You get a piece of evidence. And the rule, the one bit of real Bayes I'll ask you to hold onto, is that the hill moves. It slides toward whatever the evidence points at, and it gets a little taller and a little narrower, because now you know a tiny bit more than you did a second ago.

You never get a perfect spike. You never get to be completely, 100% sure. You just get less wrong, more clearly. Over and over.

Nobody told me that part was kind of beautiful.

You're allowed to start somewhere

For a long time I felt bad about my starting beliefs, the opinions I had before I'd really earned them. The way I'd half-decide things about a person before they'd finished talking. The assumptions I grew up with that I never chose. It felt like cheating. Like a real thinker would start from zero, clean and neutral.

But you can't start from zero. Nobody does. You always walk in with a hill already drawn, some shape built out of everything that happened to you before now.

The Bayesian doesn't make you feel bad about that. It just asks one thing: can the hill move?

That's the whole test. Not whether your first belief is right, it usually isn't, not fully, but whether you're holding it loosely enough that new evidence can push it around. A strong opinion isn't the problem. A strong opinion that refuses to change is. The first one is a starting point. The second one is a wall.

Trust the pattern, not the plot twist

We're wired to overreact to drama. One loud, vivid moment, a betrayal, an amazing first impression, one terrible day and we let it redraw the whole map. Meanwhile the quiet stuff, the small things that keep showing up but are never big enough to really notice, we brush off. "It's not a big deal." "It was just one time." Said about eleven times.

The curve says we've got it backwards.

One dramatic moment, sitting against years of everything else, shouldn't flip your whole view. It's loud, but it's one. What should move you is the buildup, the small thing that keeps happening, each time easy to ignore, the pattern impossible to. The math doesn't care how a piece of evidence feels. It cares how much it actually weighs.

I've learned more about people from what they do on a normal Tuesday than from anything they did in a crisis. The Tuesdays are the real data. The crisis is just the loud part.

You can act before you're sure

I used to wait. For certainty. For the feeling of knowing before I'd commit to anything, a choice, a person, a version of my life. I treated doubt like a stop sign. If I wasn't sure, I wasn't ready, so I'd stand still and call it patience.

But the curve never becomes a perfect point. There's no moment where it turns into a spike and the universe finally gives you permission. If you're waiting for that, you'll stand at the start line forever, holding a belief you're 80% sure of and treating it like nothing.

Eighty percent is so much. You can build a life on 80%. You're kind of supposed to. Living well was never about being sure, it's about making a smart bet with what you've got and staying open to changing it. You move while you're unsure. You carry the umbrella and keep checking the sky.

Being decisive and being humble aren't opposites. The curve is both at once, sure enough to act on, soft enough to update. I'm still learning to live there. I'm not pretending I've figured it out.

Being surprised is the good part

When life proves you wrong, when something happens that your hill said probably wouldn't, the instinct is to defend. To explain it away, to protect the belief you already built. That's the human move.

A surprise isn't your model failing. A surprise is information. It's the moment life is handing you the most it's got here, look, this is the part you didn't see coming, this is where your map was thin. The Bayesian doesn't flinch from it. The Bayesian leans in and asks: what would have to be true for this to happen?

And then the hill moves more than it's ever moved, because it had the most to learn.

The only people who pay nothing for their wrong beliefs are the ones who refuse to look at the evidence at all. Everyone who looks gets to update. That's not a punishment. That's the whole gift.

So, the part that actually comforts me

If your beliefs are a curve that keeps shifting, then being wrong stops being a verdict on you. It becomes a point on a line. An earlier, flatter, wider version of a hill that has since moved. You weren't an idiot back then. You were just working with less. You did the best you could with what you knew, and then you knew more, and you changed. That's not embarrassing. That's the only honest way to have a mind.

I find that a lot kinder than most stories I've been told about my own past.

So I try to carry the curve now. Not the formula, I'd have to look that up again, honestly. Just the shape of the idea. Hold your beliefs as hills, not flags. Let the evidence push them. Trust the slow pattern over the loud moment. Act before you're sure, because sure isn't coming. And when life surprises you, don't defend the hill, thank it, and let it move.

I'm probably wrong about some of this too.

Which is, I think, kind of the point.