Investing and portfolio managementModule 5, lesson 23 of 24
Good decisions and good outcomes
Why good decisions can lose money and bad ones can win, how outcome bias misleads investors, and how a decision journal helps you learn honestly.
In this lesson
- Explain why decisions and outcomes must be judged separately in uncertain situations.
- Recognise outcome bias and hindsight bias in your own reviews.
- Keep a decision journal that records reasoning before results are known.
- Classify mistakes as information, analysis, process or luck.
Builds on
- Emotional decision-makingReviewing decisions honestly requires the calm habits from that lesson.
- Probability and expected valueJudging decisions uses the idea of expected value explained there.
On this page
In simple terms
In investing, you decide with incomplete information, and the result depends partly on things nobody can know in advance. So a good decision can lose money, and a bad one can make money. If you judge every decision by its result, you will learn the wrong lessons: you will repeat lucky mistakes and abandon unlucky good choices.
Four combinations
| Good outcome | Bad outcome | |
|---|---|---|
| Good decision | Deserved success | Bad luck |
| Bad decision | Lucky escape | Deserved failure |
The two diagonal boxes are easy to learn from. The other two are where people go wrong: they treat bad luck as a mistake and a lucky escape as skill.
Worked example: A good decision that loses
Suppose, in a made-up game, you are offered a bet with a 60% chance of winning ₹1,000 and a 40% chance of losing ₹1,000, and you can afford to lose.
| Expected value: 0.6 × 1,000 − 0.4 × 1,000 | +₹200 |
|---|
Taking the bet is a good decision, as the probability lesson explains. Yet you will lose 4 times in 10. Losing does not make the decision wrong; refusing all such bets after one loss would be the real mistake.
Outcome bias
Outcome bias is judging a decision by how it turned out. It is everywhere in investing: a fund manager who had a great year is called brilliant; one who had a bad year is called foolish, though both may have followed sound processes. A friend who doubled their money on a tip seems wise.
Hindsight bias makes it worse. After the fact, the outcome seems to have been obvious, so we believe we "knew it all along" and that the loser "should have seen it coming".
Judging the decision itself
Ask:
- Information: did I gather the information that was reasonably available?
- Reasoning: was my analysis sound given that information?
- Range of outcomes: did I consider what could go wrong, and how likely it was?
- Size: was the amount at risk sensible, so that a bad outcome would not be a disaster, as the position sizing lesson explains?
- Process: did I follow my own rules and plan?
A decision that passes these tests was good, whatever happened next.
The decision journal
Because memory rewrites itself after outcomes are known, write things down before the result. A simple decision journal:
| Field | What to write |
|---|---|
| Date and decision | What you did and the amount |
| Reasons | Why, in two or three sentences |
| What you expect | What you think will happen and over what period |
| What would prove you wrong | Specific signs that would show the reasoning was mistaken |
| How you feel | Calm, excited, anxious, rushed |
Review entries after the period you set, comparing what happened with what you wrote, not with what you now remember thinking.
Learning from mistakes honestly
When a decision goes badly, sort the cause:
- Bad information: you missed something you could have found. Fix: research process.
- Bad analysis: you had the facts but reasoned poorly. Fix: checklists, second opinions.
- Broken process: you broke your own rules. Fix: pre-commitment, as the emotional decisions lesson explains.
- Bad luck: you did everything reasonably and the unlikely happened. Fix: nothing, except perhaps position size.
Do the same for decisions that went well. A win that came from broken rules is a warning, not a success.
Why it matters
Investors who learn from outcomes alone drift towards whatever got lucky recently, often taking more risk after lucky wins. Investors who judge their decisions improve steadily, because they keep good processes through bad luck and fix bad processes even when they happened to win.
Limitations
Separating luck from skill is hard, especially with few decisions over short periods. A run of bad outcomes can be a sign that the process is flawed, not just unlucky, so outcomes still matter as evidence over many decisions. Journals only help if they are honest and reviewed.
Common mistakes
- Treating profits as proof of good decisions.
- Abandoning a sound plan after one bad result.
- Rewriting your memory of why you made a decision.
- Reviewing only losers, and never the lucky winners.
Try it yourself
- Start a decision journal using the fields above for your next investment decision.
- Pick one past decision that made money and one that lost money. Judge each by the five questions, not by the result.
- Sort the cause of your worst past decision into one of the four categories, and write one change that addresses it.
Key takeaways
- In uncertain situations, a good decision can lead to a bad outcome and a bad decision can lead to a good one. Luck plays a large part over short periods.
- Outcome bias is judging a decision by its result rather than by the information and reasoning available at the time.
- Judge decisions by their process, the information gathered, the reasoning, the range of outcomes considered, and the size of the bet, not by whether they made money.
- A decision journal records your reasoning before the outcome is known, which protects you from hindsight bias when you review.
- When something goes wrong, ask whether it was bad information, bad analysis, a broken process, or bad luck. Each needs a different fix.
Check your understanding
Finished reading?
Your progress is saved only in this browser.
Terms used in this lesson
- Outcome bias
- Judging a decision by how it turned out rather than by the information and reasoning available when it was made.
- Decision journal
- A written record of each decision, its reasons, what you expect and what would prove you wrong, made before the outcome is known.
- Expected value
- The average result of a decision if it could be repeated many times, found by weighting each outcome by its probability.
- Hindsight bias
- The tendency to believe, after an outcome is known, that it was predictable all along.
Spotted a mistake or something unclear? Report it by email. Here is how corrections work.
This lesson is general education, not investment advice. Examples use made-up or clearly dated figures to explain ideas; they are not recommendations. Read the disclaimer.