THE FUTURE MARKETACADEMY
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School of Life & Soft Skills

Decision Analysis: trade-offs and uncertainty

Step 7 of 8 in The Commons

Next in your path: 9.7.3 Conflict Resolution: teams and families

What you'll be able to do
  • Judge a decision by how it was made, not only by how it turned out.
  • Frame a hard choice: the decision, your objectives, real options and the key uncertainties.
  • Build a weighted decision matrix, and test whether the winner changes when the weights change.
  • Use probabilities, expected value and simple decision trees, and know when expected value is not enough.
  • Start forecasts from base rates (the outside view), then update with new evidence.
  • Say how uncertain you are with clear probability words and ranges, and score your own forecasts.
  • Stress-test a plan with sensitivity checks, a team pre-mortem and tripwires.
  • Finish with a graded decision analysis you can show.
Words in this course 44Open the Vocabulary Hall
01

Good decisions, bad luck: framing the choice

In simple words

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.

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.

Key facts
  • 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 frameQuestion to answer
DecisionWhat exactly are we choosing, by when, and who decides?
ObjectivesWhat do we care about? Which are ends and which are means?
OptionsWhat are at least three real options, including waiting?
UncertaintiesWhich unknowns could change the answer?
Step by step
  1. Pick a real decision that matters (study, work, a team project, a purchase, a move).
  2. Write one sentence: "We are choosing ... by (date). The decision-maker is ...".
  3. List everything you care about. Mark each as an end or a means, and keep the ends.
  4. List at least three options. Add "wait or do nothing", then try to create one hybrid option.
  5. List up to five uncertainties. Circle the two that would most change the choice.
  6. Write how you will judge the decision later: "This was a good decision if I used ... and checked ...", not "if it worked out".
  7. Check: your frame has a decision sentence, three to six objectives, at least three options and two key uncertainties.
LESSON 01Good decisions, bad luck: framing the choice
LESSON 01 / ANIMATED LESSON / AI VOICE00:00 / 01:05
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."
Try it now

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.

ClaudeStuck? Copy a ready-made prompt for Claude

Copy this, open Claude, paste it, and Claude will walk you through the lesson step by step.

For a grown-up: Claude is for adults (18+). Copy this, paste it into Claude, and use the answer to explain the lesson to your child.

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.
Open Claude
Sources
My notes
02

The weighted decision matrix

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03

Probabilities, expected value and decision trees

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04

Base rates and the outside view

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05

Saying how sure you are: probability words, ranges and scores

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06

Stress-testing a plan: sensitivity, team pre-mortems and tripwires

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07

The decision memo and the decision review

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++

Final project

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??

Quiz

  1. Why is a good outcome not proof of a good decision?

  2. Name the four parts of framing a decision in this course.

  3. What is swing weighting?

  4. Why should you avoid double counting in a decision matrix?

  5. What does it mean if a small change in the weights flips the winner?

  6. How do you calculate expected value?

  7. When is expected value not enough?

  8. What is the outside view?

  9. What are the three steps of reference class forecasting?

  10. What two things should you keep apart when saying how sure you are?

  11. What does a Brier score of 0 mean?

  12. What is a tripwire?

EX

Final exam

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CE

Certificate

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