I am sympathetic because PyPy is very good and is improving fast. but... That doesn't change how the PyPy project tends to represent itself, which almost alway

I am sympathetic because PyPy is very good and is improving fast. but... That doesn't change how the PyPy project tends to represent itself, which almost always comes across as something like "6x speedup for everything (excluding JIT warmup)". If you want everyone to adopt PyPy instead of CPython then it is part of your job to find the cases where PyPy is not actually faster rather than saying it is the user's fault. And it is not your job to select only benchmarks which tell the story you want. If the difference between interpreters is nuanced then that nuance should be expressed so that people can make intelligent decisions rather than dismissing one or another interpreter as "slow".