GeezerVison

                                                    confidence improvement accuracy (*)    (**)   (***)
perf_hooks/usertiming.js observe='all' n=100000            ***    351.28 %       ±9.79% ±13.17% ±17.46%
perf_hooks/usertiming.js observe='measure' n=100000        ***    436.41 %       ±8.94% ±12.03% ±15.93%

Be aware that when doing many comparisons the risk of a false-positive
result increases. In this case, there are 2 comparisons, you can thus
expect the following amount of false-positive results:
  0.10 false positives, when considering a   5% risk acceptance (*, **, ***),
  0.02 false positives, when considering a   1% risk acceptance (**, ***),
  0.00 false positives, when considering a 0.1% risk acceptance (***)