As everyone else is saying, it’s when you reach a conclusion based on data without considering what factors may be filtering your results. If you’d gone to a restaurant last year and asked patrons how worried they were about COVID-19, your results would be skewed by survivorship bias – the people who were most concerned about COVID-19 would not have been at a restaurant.
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