Jerzy Neyman

Yes.

Formalized by Neyman in 1923 and expanded by Rubin in 1974.

And the text pairs this with an aphorism from Rubin and Holland, which is no causation without manipulation.

manipulation.Right. And that phrase is a hard boundary line for experimentalists.

If your originally observed test statistic falls way out in the tail of the simulated distribution, you reject the sharp null hypothesis.

You have proven that the treatment did something to someone.

But the text draws a sharp distinction between Fisher's permutation approach from nineteen thirty-five and Jerzy Neyman's approach from nineteen twenty-three.

What's the fundamental difference there?