Essay

How Science Taught Me to Be Wrong Productively

Research did not train me to be right. It trained me to make being wrong informative.

Tim Fergestad · September 17, 2026 · 7 min read

People sometimes assume that a career in science teaches you to be right. It is a reasonable guess. Scientists are supposed to be the ones who check.

It is closer to the opposite. Most of what I did at the bench did not work. I spent years recording the electrical signals that pass from one nerve cell to the next, and a great many of those days ended without a clean answer.

What science actually taught me was narrower and more useful than being right. There are two ways to be wrong, and only one of them is worth what it costs.

Two kinds of wrong

The first kind of wrong teaches you nothing. The experiment fails and you cannot say why. Maybe the idea was bad. Maybe a reagent was old, the timing was off, or you changed three things since last week and any of them could be responsible. You end up where you started, minus the time.

The second kind of wrong narrows the world. The experiment fails in a way that rules something out. You predicted one result, you got another, and because you designed the test carefully, the failure tells you where to look next. You were wrong, and you know more than you did yesterday.

The difference between the two is rarely intelligence. It is design. Much of the craft of experimental science is arranging things in advance so that whatever happens, including failure, can be read.

That skill travels. A business decision, a change in how you train or eat, a new rule at home, a career move: each one is an experiment whether you call it one or not. The question is whether, when it goes wrong, you will be able to tell why.

Four habits from the lab do most of the work.

1. Say what you expect before you look

Write the prediction down before the result comes in.

It sounds trivial, and it is the habit people skip most. Once you know the outcome, memory quietly edits what you expected. The decision that went badly “always felt a little off.” The one that worked was “obviously right.” Without a record made in advance, you cannot tell learning from storytelling.

Research pushes the discipline one step further: you decide beforehand what result would count against you. In Every Investment Is a Hypothesis I told the story of a control experiment that took the most exciting interpretation of my own work away from me. The lesson was not really about synapses. It was that the result I did not want was one of the most valuable results I got.

Outside the lab, a simple test. Before a decision that matters, finish two sentences and put a date next to them:

I expect ______.
I will know I was wrong if ______.

It takes a minute. It turns an outcome you would have explained away into one you can learn from.

2. Change one thing at a time

If an experiment fails and you changed five things, you have learned that something among five things did not work. That is barely information.

Scientists isolate variables not because they are fussy but because it is the most reliable way to make a failure point somewhere. A good experiment also includes a positive control, a condition you already know should work. If the positive control fails too, the problem is the setup, not the idea, and you have saved yourself from throwing away a good hypothesis for a bad reason.

Life rarely allows clean isolation. You cannot run your family or your business with a control group. But you can usually make a change smaller, give it longer to show its effect, and resist the urge to change everything at once when you are frustrated. Frustration is exactly when most of us change everything at once.

This is where thinking and acting meet. Small, contained actions do more than limit the downside. They tend to produce results you can actually read. A large move that goes wrong often tells you only that it went wrong. A small one has a better chance of telling you why.

I relearned this recently with a continuous glucose monitor and a chai mix labeled “sugar-free.” That story now has its own essay. The short version: the monitor showed my glucose climbing after a drink that was supposed to be sugar-free, and the ingredient list, read afterward, suggested a likely explanation. The mix contained maltodextrin, which does not count as sugar on a nutrition label but has a higher glycemic index than table sugar. The label was accurate by its own definition. It just did not answer the question I was asking.

3. Keep your identity out of your conclusions

The hardest part of being wrong is not intellectual. It is that the hypothesis starts to feel like you.

Anyone who has spent time around research has seen it: someone who has worked on an idea for years and defends it the way you would defend family. Evidence against it stops registering as information and starts registering as an attack. At that point being wrong can no longer be productive, because the person cannot afford to see it.

I am not immune to this. Nobody is. What helps me is treating an idea as something I hold rather than something I am. “I was wrong about that” is a report about a belief. It is not a verdict on a person.

The most useful tool I have found for this is one question: What am I missing? I use it to end arguments, including the ones in my own head. It changes the goal of the conversation from winning to finding out.

It is also the thing I most want my kids to absorb. Learning to own a failure is a powerful skill. I would rather they be quick to say “I was wrong” than slow to admit it and skilled at defending it.

4. After it fails, read the result

When something goes wrong, the two tempting responses are to move on as fast as possible or to replay it endlessly. Neither one extracts anything.

The lab habit is to treat the failure as data and debrief it like data. Three questions do most of it:

1. Which assumption broke? Name the specific one. “It didn’t work out” is not an answer.
2. Was it the decision or the dice? A good decision can produce a bad outcome, and a bad decision can get lucky. Judge every choice by its outcome and you will learn the wrong lesson from both.
3. What would I do differently with only what I knew then? Judge the decision by what you knew then, and learn from what you know now. Mixing the two teaches the wrong lesson.

Then write the answer down, because you will want it later and memory will have edited it by then.

Here is one of mine, from well outside the lab.

We bought our first house in Phoenix in late 2006, when prices almost everywhere were running hot. Something bothered me. We could rent a comparable home for much less than owning would cost, and the gap kept widening. I was not predicting what happened next. I was noticing that the price and the rent no longer agreed. When I raised it, I got the answer nearly everyone gave at the time: housing always goes up. I deferred to the confidence and let that settle it. The one thing I did right was buy more modestly than we had planned, which limited what we lost when prices fell.

Run the three questions on it. The assumption that broke was not really mine. It was one I borrowed: that prices only move in one direction. Decision or dice? Some of both. I could not have known the timing. But the third question is where the lesson is. With only what I knew then, I had a hypothesis with evidence behind it, and I let a confident sentence overrule it without asking what would prove either of us wrong. My mistake was not failing to predict a crash. It was failing to interrogate an assumption.

People would call this trusting your gut. I think of it more precisely now. My gut was a hypothesis, and I dropped it without a test. Today the quiet objection gets written down and weighed like any other evidence. It does not always win. It no longer loses by default.

Marcus Aurelius, in Gregory Hays’s translation of the Meditations, put it this way: “The impediment to action advances action. What stands in the way becomes the way.” I have always read that less as consolation than as instruction. The obstacle carries information. The work is getting it out.

What this does not mean

I do not want to romanticize failure. Being wrong costs money, time, and sometimes relationships. There is nothing noble about repeating an expensive mistake because the first one was educational.

The goal is narrower. When you are wrong, and you will be, be wrong early, be wrong small, and be wrong in a way you can read.

Science did not make me right more often. If anything, it made me more comfortable saying I was not. What it gave me was a way to make those moments pay.

The goal was never to stop being wrong. It was to stop being wrong for nothing.