Probability for Everyday Decisions
Read forecasts, test results, odds and risk numbers well enough to make calmer, better decisions every week.
This course is for members
$9 unlocks every course in the library, this one included, plus a credit to build a topic of your own and at least 10 new courses every month.
What you will learn about Probability in Everyday Decisions
The 7-day sprint
- What A Probability Actually Claims. A probability is a number between 0 and 1 that only means something once you name the event, the group of cases it is counted over, and the time window.
- Reading A Forecast Without Fooling Yourself. A percent chance of rain is a per point, per period chance of measurable precipitation, not a share of the area, not a share of the time, and not the forecaster's confidence level.
- Base Rates And Natural Frequencies. The chance that a positive test means you are sick depends mostly on how common the condition is, and you can compute it without algebra by converting percentages into counts of people.
- Small Percentages Of Big Denominators. In screening, the healthy group is enormous, so even an excellent false positive rate produces a large absolute number of false alarms, and repeating the test makes them pile up.
- Expected Value And Where It Breaks. Expected value is each outcome's payoff multiplied by its probability, all added up, and the honest version subtracts taxes, splits, discounts and the cost of playing.
- Putting Different Risks On One Scale. Acute risks can be compared in micromorts, a one in a million chance of sudden death from a defined activity, and chronic risks in microlives, where one microlife is about 30 minutes of life expectancy.
- Independence, Fallacies And Deciding. Independent events do not remember, so probabilities only multiply when events are genuinely unrelated, and a good decision combines the number with what the outcome would cost you.
The 80/20: the 7 concepts that matter most
- Always ask out of what, and over what time
- Base rates dominate test results
- Convert percentages into counts of people
- Expected value, with every deduction included
- Rare events repeated stop being rare
- Independence, and the streak that is not due
- Pair the probability with the consequence
The core idea, explained like you are 5
A probability is a number between 0 and 1 that says how often something happens across a clearly defined set of chances, so it means nothing until you say out of what and over what stretch of time.
Then the quiz and the ladder
10 questions that correct you when you are wrong, and beginner, intermediate, advanced levels, each with a practical exercise.
Created Sep 13, 2026. No mistakes have been reported by learners.
Written from these sources
- National Weather Service United States Department of Commerce, weather.gov. day 1 and 2, POP definition and wording ladder.
- National Weather Service United States Department of Commerce, weather.gov. day 2, worked 30 percent chance example.
- National Weather Service United States Department of Commerce, weather.gov. day 2, second government confirmation of POP wording.
- Problematic Perceptions of Probability of Precipitation | Office for Science and Society - McGill University, mcgill.ca. day 2 misreadings, wet bias, Canadian risk wording.
- Probability of precipitation, en.wikipedia.org. day 2 and 7, time intervals and non independence.
- Probability of Precipitation, Explained | OpenSnow, opensnow.com. day 2, timeframe requirement and long range forecasts.
- Gigerenzer, G. (2011). What are natural frequencies? Doctors, pure.mpg.de. day 3 and eli5, natural frequencies and tree normalization.
- Frontiers | Natural frequencies improve Bayesian reasoning in simple and complex inference tasks, frontiersin.org. day 3, hemoccult physician study numbers.
- Natural frequencies improve Bayesian reasoning in simple ..., pure.mpg.de. day 3, societies recommending natural frequencies.
- Natural frequency trees improve diagnostic efficiency in Bayesian reasoning, ncbi.nlm.nih.gov. day 3 and eli5, 10,000 women mammography frequencies.
- Breast Cancer Screening (PDQ®) - NCI, cancer.gov. day 4, specificity denominator and reported ranges.
- Ten-year risk of false positive screening mammograms and clinical breast examinations - PubMed, pubmed.ncbi.nlm.nih.gov. day 4, 10 year cumulative false positive cohort.
- pmc.ncbi.nlm.nih.gov, pmc.ncbi.nlm.nih.gov. day 4 and pareto, cumulative false positive estimates.
- Impact of a false positive screening mammogram on subsequent screening behavior and stage at breast cancer diagnosis - PMC, pmc.ncbi.nlm.nih.gov. day 4, return rates after false positive results.
- Screening Mammograms by Community Radiologists: Variability in False-Positive Rates - PMC, pmc.ncbi.nlm.nih.gov. day 4, radiologist variation in false positive rates.
- US women's attitudes to false-positive mammography results and detection of ductal carcinoma in situ: cross-sectional survey - PMC, pmc.ncbi.nlm.nih.gov. day 4 and pareto, public miscalibration survey median.
- Racial Differences in False-Positive Mammogram Rates: Results from the ACRIN Digital Mammographic Imaging Screening Trial (DMIST) - PMC, pmc.ncbi.nlm.nih.gov. day 4, false positive rate differences between groups.
- Bayes’ Theorem | Mathematics for the Liberal Arts, courses.lumenlearning.com. day 3 challenge exercise phrasing.
- Microlives | Understanding Uncertainty, understandinguncertainty.org. day 6, micromort definition and Winton programme.
- Micromorts and microlives - a valuable way of conceptualising personal risks, wealthandrisk.nz. day 6, acute versus chronic and microlife arithmetic.
- How a “micromort” helps you communicate risk | Risk Innovation | StrategicRISK Global, strategic-risk-global.com. day 6, illustrative micromort and microlife figures.
- CHRISTMAS 2012: THOUGHTS FOR TODAY Using speed of ageing and "microlives" to communicate the effects of lifetime habits and environment, researchgate.net. day 6, anesthesia and red meat estimates.
- David Spiegelhalter - Risk and Statistical Communication, speakersassociates.com. day 6, attribution and Cambridge roles.
- Powerball Prize Chart | Powerball, powerball.com. day 5, overall odds and annuity rules.
- Powerball® Prize Structure and Probability, mdlottery.com. day 5, pari-mutuel caveats and jackpot restart.
- Powerball | The Minnesota Lottery, mnlottery.com. day 5, multiplier rules and set prize basis.
- Discover PA Lottery Powerball Prizes & Chances Today, palottery.pa.gov. day 5, jackpot sharing and payment options.
- Powerball Prizes - Lotto.com, ny.lotto.com. day 5 and pareto, game matrix and exact denominator.
- What Are Your Odds of Winning the Powerball? | TheLotter US, thelotter.us. day 5, jackpot size versus split risk.
- Powerball’s winning odds: You could get hit by lightning first, foxnews.com. day 5, mismatched lightning comparison pitfall.
- ISO - The new ISO 31000 keeps risk management simple, iso.org. day 7, ISO 31000 risk definition and framing.
- On the new ISO guide on risk management terminology - ScienceDirect, sciencedirect.com. day 1 and eli5 expert, likelihood versus probability.
- ISO 31000 Risk management process - Practical Risk Training, practicalrisktraining.com. day 7, risk criteria and risk appetite.
- ISO 31000 and Risk Management – Nobel Cert Universal | training | ISO | CE, nobelcert.org. day 7, positive and negative effects of risk.
- Misuse of the Law of Large Numbers: The Gambler's Fallacy | Index Fund Advisors, Inc., ifa.com. day 7 and pareto, gambler's fallacy and Italian 53 case.
- NWS Probabilistic Precipitation Portal, wpc.ncep.noaa.gov. occurrence versus amount distribution products.
- ISO 31000 Risk Management Framework: Your Complete Guide USA, protechtgroup.com. ISO 31000 publication dates and scope.