Game theory challenge: Can you predict human behavior? - Lucas Husted

1,569,131 views ・ 2019-11-05

TED-Ed


Please double-click on the English subtitles below to play the video.

Translator: Reviewer: Daban Q. Jaff
00:06
A few months ago we posed a challenge to our community.
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We asked everyone: given a range of integers from 0 to 100,
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guess the whole number closest to 2/3 of the average of all numbers guessed.
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So if the average of all guesses is 60, the correct guess will be 40.
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What number do you think was the correct guess at 2/3 of the average?
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Let’s see if we can try and reason our way to the answer.
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00:36
This game is played under conditions known to game theorists as common knowledge.
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Not only does every player have the same information —
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they also know that everyone else does,
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and that everyone else knows that everyone else does, and so on, infinitely.
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Now, the highest possible average would occur if every person guessed 100.
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00:58
In that case, 2/3 of the average would be 66.66.
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01:03
Since everyone can figure this out,
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it wouldn’t make sense to guess anything higher than 67.
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01:09
If everyone playing comes to this same conclusion,
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no one will guess higher than 67.
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Now 67 is the new highest possible average,
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so no reasonable guess should be higher than ⅔ of that, which is 44.
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This logic can be extended further and further.
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With each step, the highest possible logical answer keeps getting smaller.
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So it would seem sensible to guess the lowest number possible.
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And indeed, if everyone chose zero,
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the game would reach what’s known as a Nash Equilibrium.
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This is a state where every player has chosen the best possible strategy
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for themselves given everyone else playing,
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and no individual player can benefit by choosing differently.
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But, that’s not what happens in the real world.
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People, as it turns out, either aren’t perfectly rational,
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or don’t expect each other to be perfectly rational.
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Or, perhaps, it’s some combination of the two.
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When this game is played in real-world settings,
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the average tends to be somewhere between 20 and 35.
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Danish newspaper Politiken ran the game with over 19,000 readers participating,
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resulting in an average of roughly 22, making the correct answer 14.
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For our audience, the average was 31.3.
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So if you guessed 21 as 2/3 of the average, well done.
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Economic game theorists have a way of modeling this interplay
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between rationality and practicality called k-level reasoning.
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K stands for the number of times a cycle of reasoning is repeated.
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02:54
A person playing at k-level 0 would approach our game naively,
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guessing a number at random without thinking about the other players.
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At k-level 1, a player would assume everyone else was playing at level 0,
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resulting in an average of 50, and thus guess 33.
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At k-level 2, they’d assume that everyone else was playing at level 1,
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leading them to guess 22.
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It would take 12 k-levels to reach 0.
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The evidence suggests that most people stop at 1 or 2 k-levels.
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And that’s useful to know,
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because k-level thinking comes into play in high-stakes situations.
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For example, stock traders evaluate stocks not only based on earnings reports,
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but also on the value that others place on those numbers.
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And during penalty kicks in soccer,
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both the shooter and the goalie decide whether to go right or left
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based on what they think the other person is thinking.
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Goalies often memorize the patterns of their opponents ahead of time,
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but penalty shooters know that and can plan accordingly.
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In each case, participants must weigh their own understanding
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of the best course of action against how well they think other participants
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understand the situation.
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But 1 or 2 k-levels is by no means a hard and fast rule—
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simply being conscious of this tendency can make people adjust their expectations.
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For instance, what would happen if people played the 2/3 game
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after understanding the difference between the most logical approach
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and the most common?
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Submit your own guess at what 2/3 of the new average will be
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by using the form below,
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and we’ll find out.
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