Scientist 2′s theory is more susceptible to over-fitting of the data; we have no reason to believe it’s particularly generalizable. His theory could, in essence, simply be restating the known results and then giving a more or less random prediction for the next one. Let’s make it 100,000 trials rather than 20 (and say that Scientist A has based his yet-to-be-falsified theory off the first 50,000 trials), and stipulate that Scientist 2 is a neural network—then the answer seems clear.
Scientist 2′s theory is more susceptible to over-fitting of the data; we have no reason to believe it’s particularly generalizable. His theory could, in essence, simply be restating the known results and then giving a more or less random prediction for the next one. Let’s make it 100,000 trials rather than 20 (and say that Scientist A has based his yet-to-be-falsified theory off the first 50,000 trials), and stipulate that Scientist 2 is a neural network—then the answer seems clear.