Identifying potentially misleading statistical data can help guide policy more effectively.
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1
Everything is up statistic
Prefers numbers over rates
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2
Best foot statistic
Using mean vs. median or best year
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3
Half-truth statistic
Special subgroup highlighted
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4
Anecdotal statistic
The power of one
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5
Everything is average statistic
He’s mean, she’s mean, they’re all mean
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6
Coincidence statistic
Same birthday, same birth location; no correlation
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7
Meaningless statistic
85% of people report being happy