It’s tempting to dismiss a set of data because the sample size is too small. There is even some great math behind why a sample needs to be of a specific size.

But large data sets start as small ones. Trends emerge and exist, even when they are statistically insignificant.

The lazy rejection is to dismiss anything with too small of a sample size.

Winners often don’t wait; they’ll study a data set even when small and develop conviction about the trend’s ability to continue.

If you wait for everyone else to agree that the trend exists, you’re often too late.