scientific apophenia
Quick Summary
Scientific apophenia is the tendency for researchers to perceive patterns or connections in unrelated or random data, leading to incorrect conclusions. This is a type of cognitive bias that can occur when analyzing large datasets, such as in epidemiology or big data analytics, where spurious correlations can easily arise.1
While the human brain has an evolutionary advantage in recognizing patterns, this inclination can lead to false attributions. Scientific apophenia can be mitigated by increasing awareness of false correlations and employing rigorous statistical methods.1
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