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Blue Seven: Are Humans Bad at Being Random?

Statistics & Probability

Ask people for a random colour and a random number, and the answers pile up on blue and 7 β€” and between 1 and 100, on 37. Design an experiment to measure how non-random our choices really are.

Where this idea comes from

Start here β€” this is the source that inspired this exploration.

Introduction

When people are asked to name a random number from 1 to 10, the answer 7 comes up far more often than the 10% that true randomness would give β€” and the most popular colour choice is blue. Psychologists call this the blue-seven phenomenon, and the same bias makes 37 and 73 strangely popular picks between 1 and 100. This is a collectable data set: survey people at school, compare your results with a uniform distribution, and test whether the effect is real in your sample.

Guiding Questions
  • Survey a good sample of people: ask for a random number from 1 to 10 and a random colour. What would true randomness look like, and what does your data show?
  • Use a chi-squared test to decide whether your number choices could plausibly have come from people choosing uniformly at random.
  • Extend to 1-100: do 37 and 73 stand out in your data the way the video claims? How large a sample do you need before you could tell?
  • Does the effect depend on something β€” age group, answering quickly versus slowly, maths students versus others? Design a fair comparison and test one factor.
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Key Mathematical Concepts
Data Collection Statistics Experimental Design Chi-Squared Test Randomness
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