The file drawer problem refers to a systemic publication bias where researchers and journal editors selectively publish studies that yield statistically significant results while ignoring or discarding studies with non-significant findings. Because these non-significant results are hidden away 'in a file drawer,' the published scientific literature becomes skewed, often containing a disproportionately high rate of Type I errors. Consequently, the published research may artificially overstate the true strength and prevalence of relationships between variables in the population.