"This bias causes a problem. If a period is chosen because of its unusually low trend, this has implications for the interpretation of conventional significance levels ("p-values") of the trend. Selection of observations based on the same data that is then statistically tested inflates the actual p-value, giving rise to a larger proportion of statistical false positives than the researcher might expect. Very few articles on the 'pause' account for or even mention this effect, yet it has profound implications for the interpretation of the statistical results.
As do lying scientists (used in the loosest sense) ... but my lying eyes digress. May Old Man Winter slide an icicle down their boxers.