Too Good to Be True
Today on Data Skeptic,
Lachlan Gunn
joins us to discuss his recent paper
Too Good to be True.
This paper highlights a somewhat paradoxical / counterintuitive fact about how unanimity is unexpected in cases where
perfect measurements cannot be taken. With large enough data, some amount of error is expec