Description

Practical frameworks for separating process from outcome. A good outcome can make a bad decision look smart. A bad outcome can make a good decision look foolish.

In Episode 34 of The Decision Dividend, we look at how to separate the quality of your decision from the luck of the result. To do that, we walk through five practical tools for making better decisions before, during, and after uncertainty shows up.

You’ll learn:

• How a decision memo can help you judge your process without being fooled by the outcome
• Why scorecards and base rates can make tradeoffs clearer and forecasts more realistic
• How if-then rules and defaults can help turn better decisions into repeatable behavior

Chapters

00:00 5 Tools for Better Decisions
How to separate the quality of a decision from the luck of the result.

01:11 Trust the Evidence
Why better decisions start with process, data, science, and evidence.

02:00 When a Decision Needs a Framework
How to decide when a choice deserves structure and when an incremental step is enough.

03:48 Why Gut Instinct Can Mislead Investors
How the same instincts that helped humans avoid danger can hurt decision-making under uncertainty.

05:59 The Five Decision Tools
Decision memos, scorecards, base rates, if-then rules, and defaults.

06:48 Decision Memos and Journals (1)
Why writing down your reasoning in advance can help you audit decisions later.

09:12 Scorecards and Tradeoffs (2)
How a one-page scorecard can make tradeoffs clearer when there is no single right answer.

12:16 Base Rates (3, 8)
Why the first question should be what usually happens in similar situations.

15:35 If-Then Rules and Guardrails (4)
How pre-deciding your trigger and response can reduce improvisation under stress.

18:36 Defaults and Precommitment (5, 6, 7)
Why making a decision once can be more effective than re-deciding every month.

21:48 Decision vs. Outcome (1)
Why a bad decision can be rewarded by luck and a good decision can still disappoint.

26:33 The Decision 2x2 (1)
A practical way to separate good and bad decisions from good and bad outcomes.

30:02 When Several Things Matter (2)
How weighing multiple criteria can help compare financial and life decisions.

34:56 The Outside View (3, 10)
Why personal experience can distort expectations for returns, risk, and future outcomes.

40:34 Learning from Wins and Losses (1,9)
Why early success can create overconfidence, and why bad outcomes can sometimes teach useful lessons.

42:49 Win or Learn
How better decision-making compounds when you review the process, not just the result.

Sources

1. Jonathan Baron and John C. Hershey, “Outcome Bias in Decision Evaluation,” Journal of Personality and Social Psychology, 1988.
   https://bear.warrington.ufl.edu/brenner/mar7588/Papers/baron-hershey-jpsp1988.pdf
2. Samuel D. Bond, Kurt A. Carlson, and Ralph L. Keeney, “Generating Objectives: Can Decision Makers Articulate What They Want?,” Management Science, 2008.
   https://pubsonline.informs.org/doi/10.1287/mnsc.1070.0754
3. Roger Buehler, Dale Griffin, and Michael Ross, “Exploring the ‘Planning Fallacy’: Why People Underestimate Their Task Completion Times,” Journal of Personality and Social Psychology, 1994.
   https://web.mit.edu/curhan/www/docs/Articles/biases/67_J_Personality_and_Social_Psychology_366%2C_1994.pdf
4. Peter M. Gollwitzer and Paschal Sheeran, “Implementation Intentions and Goal Achievement: A Meta-Analysis of Effects and Processes,” Advances in Experimental Social Psychology, 2006.
   https://www.researchgate.net/publication/37367696_Implementation_Intentions_and_Goal_Achievement_A_Meta-Analysis_of_Effects_and_Processes
5. Brigitte C. Madrian and Dennis F. Shea, “The Power of Suggestion: Inertia in 401(k) Participation and Savings Behavior,” NBER Working Paper, 2000.
   https://www.nber.org/system/files/working_papers/w7682/w7682.pdf
6. Richard H. Thaler and Shlomo Benartzi, “Save More Tomorrow: Using Behavioral Economics to Increase Employee Saving,” Journal of Political Economy, 2004.
   https://www.anderson.ucla.edu/documents/areas/fac/accounting/smartjpe226.pdf
7. Sheena S. Iyengar, Gur Huberman, and Wei Jiang, “How Much Choice Is Too Much? Contributions to 401(k) Retirement Plans,” Pension Research Council Working Paper, 2003.
   https://pensionresearchcouncil.wharton.upenn.edu/publications/papers-2018/how-much-choice-is-too-much-contributions-to-401k-retirement-plans/
8. Jay R. Ritter, “The Long-Run Performance of Initial Public Offerings,” Journal of Finance, 1991.
   https://site.warrington.ufl.edu/ritter/files/The-Long-Run-Performance-of-Initial-Public-Offerings-1991-03.pdf
9. Hendrik Bessembinder, “Do Stocks Outperform Treasury Bills?,” Journal of Financial Economics, 2018.
   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2900447
10. UBS, “Global Investment Returns Yearbook 2026.”
    https://www.ubs.com/global/en/investment-bank/insights-and-data/articles/global-investment-returns-yearbook-2026.html

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Information contained herein has been obtained from sources considered reliable, but its accuracy and completeness are not guaranteed. It is not intended as the primary basis for financial planning or investment decisions and should not be construed as advice meeting the particular investment needs of any investor. This material has been prepared for information purposes only and is not a solicitation or an offer to buy any security or instrument or to participate in any trading strategy. Past performance is no guarantee of future results.