Decision-making Work & ambitions

How to think clearly about risk and probability

Consider the probability, consequence and limits of the estimate separately.

The worked delivery example below explains expected loss with simple arithmetic. Check how the probability was obtained and whether serious consequences are missing. The example is educational, not an estimate for a real decision.

Want new features first?

Start with three things you can do today

A starting goal

I want to understand risk and probability in everyday choices. Help me compare possible outcomes, use base rates, and avoid confusing a good outcome with a good decision.

Change any word so it fits your situation. The course is built from what you type and a few setup questions.

Start today

Three things you can do before the course exists.

Useful on their own. The course is for when you want the whole skill, not just the first move.

Keep chance and consequence separate
Original arithmetic example: suppose two hypothetical deliveries each have a 10% delay probability. One delay costs 20 in extra work; the other costs 2,000. Equal probabilities do not mean equal consequences.
Calculate only what the assumptions support
Multiplying probability by the stated loss gives expected delay costs of 2 and 200 respectively. Those are averages implied by the simplified model, not the amount a single delivery will lose. The probabilities are invented for teaching.
Check what the average misses
Ask whether the larger loss is affordable, how reliable the probability is and what other consequences were omitted. A low average cost does not make an unacceptable safety risk acceptable. Use appropriate expertise for consequential decisions.

Best for: Decision-making
Prerequisites: None. Bring the situation you have.
Course length: 7 to 30 lessons
Pace: Yours. One lesson at a time, as often as you like.
Format: Read it, or play the audio
Access: Available on the App Store and Google Play, with an optional early testing list

Before the course is built

Setup asks about your situation first.

Lesson 1 opens on the moment you describe, and the examples use your role. For this request, expect questions like these.

Where does risk come up for you: money, health choices, work bets, or big life decisions?
Do you tend to avoid risk entirely, or take it without weighing it?
How comfortable are you with numbers like percentages and odds?

Right for now

If any of this sounds familiar, start here.

You avoid anything uncertain

Every risk feels like a potential catastrophe, so you take none and pay in missed chances.

You take risks on gut feel

It has worked so far, and you cannot say whether that was judgment or luck.

Probabilities do not mean much to you

A 20 percent chance and a 2 percent chance feel roughly the same in the moment.

Course arc

Where the course goes, in order.

Cadence writes the lessons for you, so the exact path follows your answers. This is the ground a course built from this sentence covers.

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What risk is

Separating probability, consequence and uncertainty in the estimate.

Reading odds

Making percentages, odds and frequencies mean something in the body, not just on paper.

Base rates first

Starting from what usually happens, and the mistake of treating your case as special.

Expected value, in plain terms

Weighing likelihood against size of outcome without formulas.

Irreversible versus recoverable

Considering severe or irreversible consequences alongside likelihood and the ability to recover.

Decisions and outcomes

Reviewing a risky choice fairly, whether it paid off or not.

What changes

What you will be able to do, and what you will stop believing.

You will be able to

Compare outcomes, not just odds

Weigh how likely something is against how much it would matter.

Use base rates

Start from what usually happens before adjusting for your case.

Separate decision from result

Review the information, reasoning and uncertain outcomes separately; the cause may remain unclear.

Ideas this course corrects

A low probability makes a risk trivial

The consequence, uncertainty and ability to recover also matter.

Expected loss predicts the next outcome

It summarizes assumed probabilities and losses; a single outcome can be very different.

Course questions

What to know before you start.

How to think clearly about risk and probability: what can I do today?

Keep chance and consequence separate. Original arithmetic example: suppose two hypothetical deliveries each have a 10% delay probability. One delay costs 20 in extra work; the other costs 2,000. Equal probabilities do not mean equal consequences. Calculate only what the assumptions support. Multiplying probability by the stated loss gives expected delay costs of 2 and 200 respectively. Those are averages implied by the simplified model, not the amount a single delivery will lose. The probabilities are invented for teaching. Check what the average misses. Ask whether the larger loss is affordable, how reliable the probability is and what other consequences were omitted. A low average cost does not make an unacceptable safety risk acceptable. Use appropriate expertise for consequential decisions.

Is this a fixed course?

No. Cadence builds the course when you type the sentence and answer a few setup questions, so the lessons follow your situation. This page describes what a course built from this request covers. You see the whole path before Lesson 1.

Who is this course for?

Do I need any prior experience?

No. Setup asks what you already know and where you want to use it, and the course starts from there. Bring a real situation if you have one; the examples are built around it.

How long does it take?

Most courses run 7 to 30 lessons. The course length is sized to what you asked for. You set the pace: one lesson at a time, as often as you like. Lessons can be read or played as audio.

Does this course award a certificate or degree?

No. Cadence is for practical self-learning and does not award accredited degrees or professional certification.