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How can a perfectly repeatable rule become hard to predict?

A rule can give exactly one next answer and still make long-range prediction difficult. The logistic recurrence, x-next = r × x × (1 − x), repeatedly feeds its output back into itself. For suitable settings, nearby starting values can separate greatly after repeated steps. Other settings settle down, so the parameter is part of the story.

5–7 min

Questions you could explore

  • How does uncertainty in a starting value differ from randomness in the rule?
  • What would comparing nearby numerical trajectories illustrate, and what would it leave unproved?

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Maths and statistics

When one long wait changes the average

An average wait can sound straightforward until one person waits much longer than everyone else. The mean and median offer two ways to summarize that same group. Their different responses to an unusually large value raise a practical question: what do we want an average to tell us?

5–7 min
Maths and statistics

How is random sampling different from random assignment?

A study can choose people at random, assign them to groups at random, do both, or do neither. Those choices answer different problems: who the findings may describe, and how fairly the study compares conditions.

3–5 min
How can a perfectly repeatable rule become hard to predict? | Speech Topic | speaking.app