Type S Error Sign
When a statistically significant result has the wrong sign — concluding an effect is positive when it's actually negative (or vice versa). Most dangerous when true effects are small and noise is large.
Type M Error Magnitude
When a statistically significant result greatly exaggerates the true effect size. Publication bias amplifies this: only large, noisy estimates clear the significance threshold, inflating apparent effect sizes.