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> So a P < 0.05 means that there is less than a 5% chance that the null hypothesis is true. Conversely, this means that there is a 95% chance that what you’re testing is true.

See https://en.wikipedia.org/wiki/P-value#Basic%20concepts

You don't understand what a p-value is.

> a P < 0.05 means that there is less than a 5% chance that the null hypothesis is true.

In other words, P(H0 | X) where H0 is the null hypothesis being true and X is the data observed. But that is not what a p-value is, they actually represent P(X | H0).

mruts' (and most people who studied a little statistics) misunderstanding of the basic definition is exactly what author and others have been campaigning against for years.