Before this course: Reasoning & Evidence: arguments and bias (course 9.3.2). There you learned to map arguments, weigh evidence and read numbers honestly. In course 9.3 you met one-way and two-way doors, the decision checklist and the basic pre-mortem. Now we turn evidence into choices when the future is uncertain.
Good decisions, bad luck: framing the choice
You can pack an umbrella because the sky looks dark, and then it stays sunny. That was still a smart choice. A good decision is about how you chose with what you knew, not about luck.
- Decision quality and outcome quality are different. A careful choice can end badly because of luck, and a careless choice can end well. Judge a decision by the information, options and reasoning available at the time.
- Judging only by outcomes teaches the wrong lessons: you may copy lucky gambles and drop good habits after one bad result.
- Frame before you analyse. A widely used government manual on multi-criteria analysis starts with the same early steps: establish the decision context (the aims and who decides), identify the options, and identify the objectives and criteria (UK government, "Multi-criteria analysis: a manual").
- Objectives are what you care about (for example cost, time, safety, learning, relationships). Separate ends (what you really want) from means (ways to get it). "Buy a car" is a means; "get to work reliably in under 40 minutes" is closer to the end.
- Options: aim for at least three real options, including "do nothing" or "wait", and look for a hybrid that combines the best parts of two options.
- Uncertainties: list the few unknowns that would most change the result (for example price, demand, weather, how long it takes).
| Part of the frame | Question to answer |
|---|---|
| Decision | What exactly are we choosing, by when, and who decides? |
| Objectives | What do we care about? Which are ends and which are means? |
| Options | What are at least three real options, including waiting? |
| Uncertainties | Which unknowns could change the answer? |
- Pick a real decision that matters (study, work, a team project, a purchase, a move).
- Write one sentence: "We are choosing ... by (date). The decision-maker is ...".
- List everything you care about. Mark each as an end or a means, and keep the ends.
- List at least three options. Add "wait or do nothing", then try to create one hybrid option.
- List up to five uncertainties. Circle the two that would most change the choice.
- Write how you will judge the decision later: "This was a good decision if I used ... and checked ...", not "if it worked out".
- Check: your frame has a decision sentence, three to six objectives, at least three options and two key uncertainties.
Read the video script
[Host] "You took an umbrella because the forecast said rain. It stayed sunny. Was that a bad decision?"
[Text on screen: DECISION QUALITY ≠ OUTCOME] "No. A good decision is about how you chose, not about luck."
[Screen: four boxes: decision, objectives, options, uncertainties] "Before any maths, frame the choice: what you decide, what you care about, your options and the unknowns."
[Host] "Always add 'wait' as an option, and try to build a hybrid. The best choice is often one you had not listed yet."
Write a one-page frame for a real decision using the table. Show it to one person and ask: "What objective or option did I miss?" Add what they find.
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I'm learning "Decision Analysis: trade-offs and uncertainty" on The Future Market. Lesson 1: "Good decisions, bad luck: framing the choice". What the lesson teaches: - Decision quality and outcome quality are different. A careful choice can end badly because of luck, and a careless choice can end well. Judge a decision by the information, options and reasoning available at the time. - Judging only by outcomes teaches the wrong lessons: you may copy lucky gambles and drop good habits after one bad result. - Frame before you analyse. A widely used government manual on multi-criteria analysis starts with the same early steps: establish the decision context (the aims and who decides), identify the options, and identify the objectives and criteria (UK government, "Multi-criteria analysis: a manual"). - Objectives are what you care about (for example cost, time, safety, learning, relationships). Separate ends (what you really want) from means (ways to get it). "Buy a car" is a means; "get to work reliably in under 40 minutes" is closer to the end. - Options: aim for at least three real options, including "do nothing" or "wait", and look for a hybrid that combines the best parts of two options. - Uncertainties: list the few unknowns that would most change the result (for example price, demand, weather, how long it takes). - Part of the frame - Question to answer The exercise I'm working on: Write a one-page frame for a real decision using the table. Show it to one person and ask: "What objective or option did I miss?" Add what they find. I'm stuck. Please: 1. Explain the main idea in plain, simple words with one everyday example. 2. Walk me through the exercise one small step at a time. Ask me what I've done so far before giving the next step. 3. Don't just give me the final answer. Help me do it myself, and check my work when I share it.
I'm a parent helping my child (about 8 years old) with a lesson called "Good decisions, bad luck: framing the choice" from the course "Decision Analysis: trade-offs and uncertainty". Here's what the lesson says: You can pack an umbrella because the sky looks dark, and then it stays sunny. That was still a smart choice. A good decision is about how you chose with what you knew, not about luck. The activity: Write a one-page frame for a real decision using the table. Show it to one person and ask: "What objective or option did I miss?" Add what they find. Please explain this so an 8-year-old understands: short sentences, a fun everyday example, and no hard words. Then give me 3 simple questions I can ask my child to check they understood, and a way to do the activity together, one tiny step at a time.
Sources
- UK government (Ministry of Housing, Communities and Local Government), "Multi-criteria analysis: a manual" (2009 edition), Figure 5.1 Steps in a multi-criteria analysis: assets.publishing.service.gov.uk/media/5a790545e5274a2acd18b975/113261
- Publication page: www.gov.uk/government/publications/multi-criteria-analysis-manual-for-
The weighted decision matrix
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Probabilities, expected value and decision trees
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Base rates and the outside view
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Saying how sure you are: probability words, ranges and scores
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Stress-testing a plan: sensitivity, team pre-mortems and tripwires
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The decision memo and the decision review
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Final project
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Quiz
Why is a good outcome not proof of a good decision?
Because luck also affects outcomes; judge the information and reasoning used at the time.
Name the four parts of framing a decision in this course.
The decision, objectives, options and key uncertainties.
What is swing weighting?
Weighting a criterion by how much you care about the change from its worst to its best option in this choice.
Why should you avoid double counting in a decision matrix?
It gives the same effect more weight than it deserves.
What does it mean if a small change in the weights flips the winner?
The choice is close, so discuss the trade-off openly.
How do you calculate expected value?
Add up probability times value for every outcome.
When is expected value not enough?
When an outcome is ruinous or cannot be undone, or you only get one try; also look at the worst case.
What is the outside view?
Starting a forecast from how similar past cases turned out (the base rate).
What are the three steps of reference class forecasting?
Pick similar past cases, find their range of outcomes, compare your case with that range.
What two things should you keep apart when saying how sure you are?
How likely the event is, and how confident you are in your evidence.
What does a Brier score of 0 mean?
A perfect forecast; lower scores are better.
What is a tripwire?
A rule set in advance that says what evidence will make you stop, change or check again.
Final exam
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Certificate
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