Anchoring effect
A wheel of fortune gives a random number, then you estimate a question from working life. 200 simulated colleagues show how strongly the number pulls the estimates and what a counterargument does against it.
Data & decisionsTry itVisuApps
Statistical pitfalls and decision anomalies from "Data & Decisions" — intuitive and interactive.
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A wheel of fortune gives a random number, then you estimate a question from working life. 200 simulated colleagues show how strongly the number pulls the estimates and what a counterargument does against it.
Data & decisionsTry itNumber forensics on the first digit: data points land on a glass log drum whose sector width is log₁₀(1+1/d). Rescaling only turns the drum; body height and .99 prices fail, manipulated expenses give themselves away (Nigrini MAD, χ²).
Data & decisionsTry itThe filter invents the relationship: a light wall sweeps through 3,000 independent applicants, the selected fly onto a stage — and there the regression line falls (r ≈ −0.67). Sum, or, and, causal diagram with collider.
Data & decisionsTry itDrag a time window over a price series — the same stock looks "great" or "catastrophic". Toggle the index base; the sales-succession case shows how the reference period alone flips the promotion decision.
Data & decisionsTry itRebuild 2.0 (preview): the same series, every start–end pair as a triangle of returns, distribution of all windows, rebasing to 100 and axis tricks.
Data & decisionsTry itYou only hit with 10 % — whom to aim at? A Monte-Carlo simulation shows: deliberately firing into the air maximizes your survival chance, because the two strong opponents thin each other out first.
Data & decisionsTry itRebuild 2.0 (preview): 3D truel with exact survival probability per strategy, Monte Carlo with confidence funnel, selectable turn order and a map of when firing into the air is optimal.
Data & decisionsTry itArithmetic, geometric, harmonic — which one when? The speed paradox (the second lap is never fast enough for a 120 km/h average), the inequality AM ≥ GM ≥ HM on a number line, and the cost-averaging effect in a savings plan.
Data & decisionsTry itRebuild 2.0 (preview): which constant value replaces them all? Returns, speed, savings plan, P/E and semicircle — AM, GM, HM in the replacement test, HM ≤ GM ≤ AM on the number line.
Data & decisionsTry itSame number, four readings: absolute vs. relative risk difference, natural frequency and odds ratio — with icon arrays of 100 figures. Plus the fight over the right base (O. J. Simpson, suicide rate).
Data & decisionsTry itRebuild 2.0 (preview): the same risk as relative and absolute risk, natural frequency, odds and betting odds.
Data & decisionsTry itThe St. Petersburg paradox (expected value ∞, yet nobody pays much), Bernoulli utility functions with certainty equivalent (insurance vs. lottery), and the S-shaped prospect value function with loss aversion.
Data & decisionsTry itRebuild 2.0 (preview): St. Petersburg paradox, utility x^γ with certainty equivalent, prospect theory with loss aversion.
Data & decisionsTry itTwo 3D cities from the same random numbers: uniform body heights against a Pareto skyline whose tallest tower pierces the clouds. α slider, running mean, log-log tail, Lorenz curve, the one-in-a-million outlier.
Data & decisionsTry itFour people decide on a team lead, each holding their own info cards. The balance shows why the group makes the worse choice and how asking for unique information in turn changes that.
Data & decisionsTry itRebuild 2.0 (preview): live headline against reality, population mosaic with case dots, age structure as confounder up to reversal, Farrington's screening method.
Data & decisionsTry itSeven cases from storks to Nicolas Cage: guess the structure, then use partial correlation and an experiment to test what produces the correlation – third factor, direction, selection or chance.
Data & decisionsTry itRebuild 2.0 (preview): the slide says “A ahead” — opening the look-back morphs the bars into lines and the trend verdict flips. Prior month vs. same month last year, crossings, stock vs. flow.
Data & decisionsTry itBell curve N(μ,σ): drag μ and σ, drag the threshold x directly → z-score and tail probability P(X>x) live, with shaded area. The 68-95-99.7 rule as bands; presets for US male height with "taller than LeBron/Yao Ming?".
Data & decisionsTry itRebuild 2.0 (preview): bell curve morphing X → Z with the same area, tail and interval probabilities, inverse quantile question, sampling and a men/women comparison.
Data & decisionsTry itGive a 90 % interval for each of ten estimation questions. Calibrated would be nine hits — most manage far fewer. Interval bars with the true answer expose the overconfidence.
Data & decisionsTry itCoin sequences are non-transitive: for every three-flip sequence there is one that beats it on average. Pick sequences, watch the coin stream live, simulate 1000 games — win rates and mean waiting times (8 vs. 10 flips).
Data & decisionsTry itRebuild 2.0 (preview): exact odds via Conway, non-transitivity as a graph on waiting-time rings, waiting-time paradox, matrix of all duels, Monte Carlo, length 3 and 4.
Data & decisionsTry itA sales team across two quarters: the best fall back and the weakest catch up without anyone changing anything. A slider for the share of luck shows when this happens and how strongly.
Data & decisionsTry itDrag variables into the five levels of measurement (nominal → ordinal → interval → ratio → absolute). Each step adds a property; the operations panel shows which statistic is allowed from which level — mean from interval, ratio from ratio level.
Data & decisionsTry itRebuild 2.0 (preview): level of measurement as the set of admissible transformations — five statements hold or flip live, ladder of permitted statistics, sorting exercise with 19 variables.
Data & decisionsTry itThe same Destatis data, three denominators: suicides per death, per all suicides and per resident give three correct curves telling three stories.
Data & decisionsTry itAbraham Wald’s bombers: fly missions, analyse only the survivors and reveal the losses — with an armor comparison, Wald’s inference of vulnerability and a fund database as transfer.
Data & decisionsTry itE, K, 7, 4 — which cards must you turn over to test the rule? The classic confirmation bias, plus the everyday scenario (beer/cola/16/22) that almost everyone solves correctly.
Data & decisionsTry itRebuild 2.0 (preview): five scenarios from abstract to invoice audit, flipped cards land in the truth table, resolution with your own choice pattern and an SQL query.
Data & decisionsTry itOne workforce, many surveys: see how far results jump with few answers and why it takes four times as many answers to halve the uncertainty.
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