Writing your own random number generator can be a lot of fun. Lots of sources of entropy out there. Inspired by lavarand[0], I wrote an RNG in Python based on the output of the Global Conscousness Dot[1] (which is a ridiculous project in its own right). There's a lot of ways to visualize and ascertain how "random" your numbers are as well, whether plotting Pearson's with matplotlib or using a command line tool like ent[2] to calculate the degree of entropy.
> The identification of events and the times at which they occur are specified case by case, as are the statistical recipes. The approach explicitly preserves some latitude of choice, as is appropriate for an experiment exploring new territory. Accepting loose criteria for event identification allows exploration of a variety of categories, while the specification of a rigorous, simple hypothesis test for each event in the formal series assures valid statistics.
I’ve never seen someone so blatantly spell out that they are cherry picking, but also then argue that the cherry picking is good science ;) this is the sort of thing that gives real scientists a bad name.
> The identification of events and the times at which they occur are specified case by case, as are the statistical recipes. The approach explicitly preserves some latitude of choice, as is appropriate for an experiment exploring new territory. Accepting loose criteria for event identification allows exploration of a variety of categories, while the specification of a rigorous, simple hypothesis test for each event in the formal series assures valid statistics.
I’ve never seen someone so blatantly spell out that they are cherry picking, but also then argue that the cherry picking is good science ;) this is the sort of thing that gives real scientists a bad name.