I’ll try one last time.
If you are going to run a ganzfeld experiment and you have, like the PRL, put your target pool into sets or 4 designed to be thematically diverse then you could say that each theme has a 25% chance of being chosen. I agree with that. But if you run the experiment and find, AFTER THE EVENT, that certain themes that coincide with the already known tendencies of people to describe certain subjects, psi or no psi, then you’d have to adjust for this bias. This is what happened in Study 302. The fact that there were plans for the experiment to continue until each target had been used 15 times makes no difference. The data they used displayed response bias. It didn’t cancel out the results, true, but I’m not saying it did. It’s just an example of what response bias can do.
The propensity for people to chose the first target when judging an experiment of this nature should also be taken into account (before you quote another chunk of the PRL paper, yes, I do know that judging bias actually depressed the expected hit rate by chance).
Beirman did some analysis on the entire set (“Notes on random target selection: the PRL autoganzfeld target and target ser distributions revisited”) and noted that, although the overall effect remained robust, the chance hit rate for the entire study (excluding Study 302) was 25.98% (include Study 302, and the chance hit rate is 26.5%, which is quite an effect for a series that lasted 354 trials).
Interestingly, the post hoc expected hit rate by chance for static targets was 24.4% while for dynamic targets it was 27.7% which means the 10% gap between the scores of static and dynamic targets should actually by a 6.8% gap, which renders the effect non-significant.
So, sure, theoretically, there’s a 25% chance of such and such a theme being a target as opposed to being a decoy. But once the experiment is run, there is the opportunity to go back to see if that actually occurred. It may be that a poor score could be explained by a run of unlikely targets (of course, this’d presuppose that psi didn’t exist or wasn’t working, since psi should be able to tap into these targets, unlikely or not).