Coaching practices for Probability Estimation Practice
Describe almost anything you are working through and IX Coach finds the practices whose real-world fit is closest. For Probability Estimation Practice, these are the strongest matches in the current practice library.
Does this sound like the set of challenges you might be facing?
- When I’d swear I know roughly where a number lands, the real answer is constantly outside the range I’d have bet on
- I land on a number and just go with it, never pausing to ask what’s the most it could possibly be or the least
- I tend to blurt out one confident-sounding number and act like it’s solid, when honestly I have no business being that sure
- My guesses never seem to get any better because I make them, find out the real answer, and then just move on
- I commit to one confident number
Practices that may help
- Practice confidence interval estimation
Estimate ranges for factual quantities and check how often the true value falls within your range.
Calibration Training - Sanity-check against known extremes
Test your estimate against the clearly too-high and too-low bounds to calibrate your range.
Fermi Estimation - Fermi Estimation
Fermi estimation is the practice of making rough but principled quantitative estimates by decomposing an unknown into knowable sub-problems, estimating each, and combining them. Named for physicist Enrico Fermi, who was renowned for accurate estimates from minimal data, it is used in science, engineering, and everyday decisions to calibrate intuitions and check whether a number is in the right ballpark — not to achieve false precision. - Estimate in ranges, not point estimates
Instead of "my estimate is 500," say "I think it is between 200 and 2000."
Fermi Estimation - Track your estimates and calibrate
Compare your Fermi estimates to actual figures when you can, and use the gap to improve future estimates.
Fermi Estimation - Forecast a distribution, not a point estimate
Represent your forecast as a range of likely outcomes, not a single predicted number.
Reference Class Forecasting - Practice probabilistic calibration by tracking your predictions
Assign explicit probability estimates to your predictions and track whether they come true at the right rate.
Base-Rate Neglect: Why We Ignore the Odds - Distinguish uncertainty (quantifiable) from ignorance (unquantifiable)
Know when you can assign a probability and when the situation is so novel that a number would be fabricated.
Calibration Training - Keep a decision journal to score your EV estimates
Log your probability estimates and payoff predictions, then compare them to what happened.
Expected Value Thinking: Deciding Under Uncertainty - Beware false precision in forecasts and models
Treat any precise probability or quantitative forecast with explicit suspicion about whether the model fits the domain.
The Ludic Fallacy: When You Mistake Real Life for a Game
Related concerns
- Confidence Intervals Estimation
Estimate ranges for factual quantities and check how often the true value falls within your range.
Practice confidence interval estimation
- Calibrated Uncertainty Ranges
Estimate ranges for factual quantities and check how often the true value falls within your range.
- Fermi Estimation At Work
Fermi estimation is the practice of making rough but principled quantitative estimates by decomposing an unknown into knowable sub-problems, estimating each, and combining them. Named for physicist Enrico Fermi, who was renowned for accurate estimates from minimal data, it is used in science, engineering, and everyday decisions to calibrate intuitions and check whether a number is in the right ballpark — not to achieve false precision.
- Interval Estimation
Estimate ranges for factual quantities and check how often the true value falls within your range.
- When Calibration Training Confidence Interval Practice
Estimate ranges for factual quantities and check how often the true value falls within your range.
- Base Rate Confidence
Start your confidence estimate from the historical hit rate for this type of prediction, not from how confident you feel.
Anchor your confidence level on base rates, not gut feel
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