Essay

Was It Skill, or Was It the Decade?

A track record is an outcome. The harder question is what caused it.

Tim Fergestad · October 1, 2026 · 7 min read

Every track record I am shown looks good.

That is not cynicism. It is selection. Nobody puts a track record on a slide unless it looks good, and for a long stretch of the last fifteen years it was not hard to assemble one. Deals bought, improved, refinanced, sold. Investors paid. A column of green.

The question I care about is narrower, and harder: did this person produce these results, or did the years produce them while this person was standing there?

In Every Investment Is a Hypothesis I called the calendar the most common confounder in investing. That makes this less an investing question than a question about cause, which is the one science spends most of its effort on.

Test the vehicle, too

Any experiment that delivers a drug dissolved in something has to test the something.

If you dissolve a compound in a solvent, give it to a group of animals, and see an effect, you have not yet shown that the compound did anything. The solvent might have done it. The handling might have done it. Time alone might have done it. So you run another group that gets the solvent and nothing else, the vehicle control, and you compare against that.

Nobody in a lab would accept “the treated animals improved” as evidence. Improved compared with what? What happened to the group that got only the vehicle? What would have changed with time alone?

In investing, we look at a list of outcomes and almost never ask for the equivalent.

So map it across. The operator’s track record is the treatment group. The market environment they operated in is the vehicle. The control is what comparable assets did over the same years without that operator’s hand on them. The effect you are trying to measure is the difference between the two.

A strong decade is a powerful vehicle. Falling rates, compressing cap rates, abundant capital, rising rents. Much of the market was carried upward by it, and plenty of people holding assets through it looked capable whether they were or not.

What is left over once you subtract what the period would have done anyway is not automatically skill. It can include luck, geography, asset selection, a well-timed loan, and variables nobody recorded. But it is where evidence of skill begins. The raw result is not.

Where this started for me

In 2021, I invested retirement money in a Dallas multifamily deal with an operator I was very impressed by. I was still relatively new to private real estate and was deliberately investing with different groups to learn how experienced operators worked.

This one checked a lot of boxes. The team had decades of combined experience and numerous successful exits. They communicated well. Dallas was booming. Nearby properties were running at roughly 93 to 98 percent occupancy. The business plan was compelling, and so was the story behind it: improve the property, serve a growing market, create good jobs, and execute a value-add strategy the team had done before.

I put too much weight on the track record.

The deal used floating-rate bridge debt with a rate cap. For a while, operations were fine. Then expenses rose, interest costs climbed, and NOI weakened. As cash got tighter, shortcuts followed. Occupancy deteriorated. Bills went unpaid. Investors did not learn how serious things had become until an update raised the possibility of a capital call.

That surprised me for another reason. The original investment materials had explicitly said the GPs would cover financial shortfalls rather than call additional investor capital. I had interpreted that as another layer of safety. What I had really done was substitute confidence in the sponsor for margin of safety in the deal.

At almost the same time, I invested with another seasoned operator who refused to use floating-rate debt. That deal faced many of the same macro forces and survived. Different city, same years, same rate shock, different debt. Not a clean control, but the closest thing to one I have had.

The lesson was not that the first operator lacked experience. They had plenty. It was that their experience had mostly been accumulated while the market was helping. Their systems had been tested operationally, but not against a rapid change in the cost of capital. They were confident the future could not get that difficult that quickly.

Neither could I.

The mistake was not failing to predict the turn. It was building too little room for being wrong about forces nobody controlled.

Three places the decade hides

In the calendar. I put every deal on a timeline. A long list of full-cycle deals that were all bought and sold inside the same favorable stretch is closer to one observation than to many. It tells me how an operator performed in one environment. It does not tell me what they do in a different one. I would rather see a shorter record that crosses a change in conditions than a longer one that never left a single phase of the cycle.

In the source of the gain. A property’s value is its income divided by a cap rate, which I walked through in Why I Read the Return Last. So a gain can come from the operator growing the income, or from the market lowering the cap rate. Both show up as the same profit on the closing statement. Cap-rate compression is something an operator may benefit from, not something they control.

Even income growth needs a control. If rents across the submarket rose sharply over the hold, some of the operator’s income growth was simply the market, too. The question is not whether income grew. It is whether it grew more than it did for comparable properties nearby that nobody was renovating.

In the hard years. The cleanest evidence of process shows up when the vehicle stops helping. So I ask about the deal that went sideways. What happened, when did they know, when did they tell their investors, what did they do, and what did they change afterward. A good answer usually has dates, numbers and at least one thing they would do differently. It often sounds less polished than a bad one.

You do not need all of it at once

I did not have the time to do any of this in 2021, and most people reading this do not have it either. Pulling the dates, the income and cap rate at both ends, the loan terms and the original projection for every deal an operator has done is real work.

It is also why I am selective about who I partner with. The operators I work with now are the ones whose records I have been able to examine this way, and who answered the hard questions without reaching for the deck. Finding them took years of conversations, and the network and the knowledge keep growing with each one.

I am still building my own comparison set. Writing these pieces forces me to be precise about what I have learned so far, and I would have liked to read one in 2021.

Outcomes are not process

The mistake underneath all of this has been studied from more than one direction. In a 1988 study, psychologists Jonathan Baron and John Hershey asked people to rate the quality of decisions, including medical ones. The decisions were identical; only the outcomes differed. People rated the same decision as better when it happened to turn out well. They called it outcome bias. Annie Duke, a former professional poker player, arrived at the same place from the card table and gave it a plainer name: resulting, judging a decision by how it turned out.

A psychology lab, the stock market and a poker table, all arriving at the same lesson. It cuts in both directions. A strong outcome in a strong decade does not establish a strong process. And a mediocre outcome in a hard period does not establish a weak one. An operator who lost money carefully, told investors early, and protected capital as well as the situation allowed may be showing more skill than one who has never been tested at all.

It is also the core of How Science Taught Me to Be Wrong Productively: you are not looking for the result you wanted. You are looking for a design that lets you tell why you got the result you got. With an operator, that means you are not hunting for winners. You are trying to identify a process, and a process is only visible against a comparison.

Warren Buffett put the stress-test version better than I can in his 2001 letter to shareholders: “You only find out who is swimming naked when the tide goes out.” A rising tide is the vehicle. It is generous to everyone in the water, and it says very little about who can actually swim.

A track record tells you what happened. It does not tell you why. The why is the part you are investing in.