The Texas Sharpshooter Fallacy is a logical fallacy that occurs when someone draws conclusions from data that is selectively chosen to support a pre-existing bias or belief. This fallacy is often used to make false correlations between two unrelated events or to draw conclusions from insufficient evidence. It is named
The Texas sharpshooter fallacy is the statistical fallacy of inferring meaning from what is essentially a random distribution of data points. It is the philosophical or rhetorical application of the multiple comparisons problem and apophenia. It is related to the clustering illusion, which is the tendency in human cognition to interpret patterns where none actually exist, itself stemming from the tendency to underestimate the likelihood of clusters appearing in random or pseudorandom datasets.