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When Results Are Too Good to Be True, They Are Probably Not True
When Results Are Too Good to Be True, They Are Probably Not True
2020
Thomas S. Wallsten
Gal Zauberman
Dan Ariely
Keywords:
Statistics
Mathematics
Correction
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