[scottbot]

My stance is much softer than that, but I should have made it clearer, because similar arguments are often made in anti-frequentist rants. I think that there is an appropriate place for most statistics used (including NHST under the right circumstances) - and often, the differences between the results are entirely negligible.

My goal is to make people aware of the various stats out there, their benefits and pitfalls, and let people choose whatever is the most appropriate for their needs. Those choices need to be informed, and given that most introductory stats starts with p-values and seems to teach them wrong, that's where this post is aimed.

Regarding your aside, the universe of possible observations in a given experiment assuming 100 trials may be very different than the universe assuming trials until we run out of money, which happened to fall on 100.

[sesqu]

If you want to go down that route, I suggest examining the assumptions of so called nonparametric tests and uninformative priors as future topics.