Hello, I really love the improvements to the clearity of speed.pypy.org In the last days I have dropped some times on that page, aaaand... although I read the description and understand it, what my mind FIRST processes from the How has PyPy performance evolved over time? picture is that "performance got worse" Yes; right after that I read the small print of "smaller is better". But still... my eyes tell me "it got worse". Would it be possible to think of a presentation that allows to GROW those elements? Having a measurement comparable to transaction per second; or whatever-stones. Or just project the 1/x of every measurment ... just the subconcious thinks "something shrinking is not sexy". There is allways the experience with "wow, you have grown so much" ... nobody tells their (shrinking) elders "wow, you have shrunken so much"... Another small point: The headline is "...over time", but the x-axis shows "over versions". If I call correctly, the delta-t between "release of cpython 2.6.2" to "pypy1.3" is different form dt(1.3,1.4) is different from dt(1.4,trunk) As much as I remember, the speedup is speeding up ... Would such changes be possible? Does someone else think they may be positive? harald -- GHUM GmbH Harald Armin Massa Spielberger Straße 49 70435 Stuttgart 0173/9409607 Amtsgericht Stuttgart, HRB 734971 - persuadere. et programmare