Being an data analyst type of person I am a fervent believer in the below concept, but until now I didn’t realise it had a name.

Per Wikipedia, Twyman’s law states that:

Any figure that looks interesting or different is usually wrong.

That is to say if you think you found something mind-blowingly interesting or revolutionary in your data, the sad truth is that most often you just made some kind of mistake. Whilst we should of course approach each situation with an open mind, the same default principle might be adopted when reviewing the work of others.