Survivorship bias is an error where we only see data from a surviving subset of a population.
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Part II (and the final part) of the series. Read and stash away!
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Survivorship bias is a logical error that twists our understanding of the world and leads to a wrong understanding of cause and effect.
We fall into survivorship bias when we assume that success stories tell the entire story of a product/business, while we don't properly consider past fail...
Survivorship bias leads us to think that coincidence is a correlation. We want the encouragement from survivorship bias so we can believe in our own capabilities, but it results in an inflated idea of how people become successful.
The fact is that success is never guaranteed. It does not me...
After reading Gates’ and Musk’s life stories, people seem to fall for the successful dropout myth , because if they can do it, why can’t you?
These stories might expose a fallacy in judgement because in reality, for one success story...
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