There's a nice presentation of the paper here https://www.youtube.com/watch?v=-QjgvbvFoQA
In essence the effect comes from "precession" - the tendency of the flip to not be purely vertical but to have some wobble/angular momentum which causes it to flip in such a way as to spend longer on one side than the other. Depending on the technique this will have a greater or lesser effect on the fairness of the coin toss, ranging from about p_same = 0.508 for the best technique to one person in the study actually exhibiting 0.6 over a large sample which is staggeringly unlikely if the toss was purely fair. In the extreme, it shows in the video a magician doing a trick toss using precession that looks as if it's flipping but does not in fact change sides at all, purely rotating in the plane of the coin and wobbling a bit.
The video is quite a nice one for setting out how hypothesis testing works.
Ah man, please use Bayesian statistics there... Well, the presenter says he doesn't know much about statistics.
link to the "wobble flip" trick https://youtu.be/-QjgvbvFoQA?t=325