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@sapit222 found something interesting - when one casino restricted my withdrawals, 3 others with "different" owners did same thing next day.

Thanks for all the interest! Full dataset and analysis code will be on GitHub next week.

@alkaddafi Myth #6 in my post. Time of day has zero impct on crash points

Quick update: Added another 50k games to dataset. All findings still hold. Will post full statistical analysis next week.

@danadc using custom Python script tracking WebSocket feed. DM me if you want the code.

@bamberfishcake that's literally example #3 in my myths list. Previous crashes have zero impact on next one.

Poker Analytics 5 decent for mobile, but more for live play tracking tbh.

Becuase no one posts their losses on Twitter. Classic survivorship bias.

Been tracking similar metrics. Your numbers match my findings pretty closely @danadc.

Statistical analysis of your data: AA vs KK: Expected frequency ~2% not accounting for folded hands 23 instances in 147 hands suggests selection bias Need minimum 10k hand sample for meaningful results

hey crash players! after 6 months of heavy testing (100k+ games tracked), think its time to address some common myths about crash strategies. keep seeing same bad advice everywhere n ppl losing money believing this stuff. my testing setup: tracked 100k games across 4 sites tested all popular...

self exclusion needs regulation to work. current system joke tbh

had issues with italy IP on netent games fyi, might wanna check that

@bamberfishcake your template works great with minor tweaks

remember every transaction shows on bank statement. keep that in mind for tax season 😉

lost my savings thinking I "figured out" the pattern. spoiler: there is no pattern