Confirmation bias can have serious implications in epidemiology, including:
Misleading conclusions: Biased data interpretation can lead to incorrect public health recommendations. Resource misallocation: Resources may be diverted to less effective interventions. Loss of public trust: Public trust in scientific research may diminish if biases are perceived.
