We've all seen the regular stats about how bad @Pumpfun tokens are. About how the vast majority of traders lose money. But the gigabytes of data I've been assembling over the past few days paints a much darker picture. I've spun up a VPS and am in the process of backfilling a hoarde of data (burning a ton of Helius credits) and comparing @Pumpfun to @LaunchOnSF Because of how many tokens are launched every single day the backfill process is still running, although I do have enough data to start being statistically accurate. I'm capturing data for the entire last month as well as logging all new data in real time. An expensive project, but a valuable one. For example, I already have learned: Tokens that have graduated on @LaunchOnSF are 3X more likely to still be active within 24 hours than graduated tokens on @Pumpfun That jumps to 5X a week after graduation. While both launchpads have a less than 2% graduation success rate what happens next is the most telling. Pump fun also has a much higher rate of "fake liquidity" (support being placed and then pulled before rug) than Stonk tokens. How do I know? My system is also tracking every single liquidity event. It's watching and logging every time people play games with liquidity in order to manipulate a chart. More insights will be shared with the greater amount of data I capture/backfill. This will be interesting.