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Hey mrkromer. Speaking for myself - I mentioned this indirectly in my previous rants - bankroll wasn't really a factor. I had ~50 buy-ins, which is more than enough according to advice I've read before. I think more than enough to handle typical ups and downs. The losing more than winning due to bad beats, and then finally culminating in the 30-loss streak is what broke me. We're talking unreal here.
There has been talk before about rigging on FTP in their forums. Of course, there are staunch defenders (obviously with a vested interest) and I believe there is a post there about a statistical analysis on the cards dealt that showed it was random. However, I would love to get my hands on the data used and stratify it according to: how new the player is (i.e. recent signup), whether the situation occured in the early or late stages of a tourney, etc. If FTP was smart - I mean deviously smart - they would make the cards random over the entire set dealt, but skew the distribution situationally. For example, a big stack in late stages of a tourney might be weighted favourably while in early stages (which would involve many more hands dealt since people haven't been eliminated) you would weight the other way (and this weighting would only have to be very slight to make up for the other skew because of more total hands).
Why would they do this? It's all been said before: get new players hooked by making them winners, increasing elimination/turnover in tourneys to increase the number/unit time a person enters, etc. This could easily have a big impact on their bottom line, and be virtually impossible to detect/prove unless someone had a fully described dataset and knew what to look for.
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