confidence improvement accuracy (*)   (**)  (***)
 http2/headers.js benchmarker='h2load' nheaders=0 n=1000           ***      2.93 %       ±1.41% ±1.88% ±2.44%
 http2/headers.js benchmarker='h2load' nheaders=1000 n=1000        ***    -11.86 %       ±0.42% ±0.57% ±0.74%
 http2/headers.js benchmarker='h2load' nheaders=100 n=1000         ***     -5.37 %       ±1.20% ±1.60% ±2.09%
 http2/headers.js benchmarker='h2load' nheaders=10 n=1000          ***      2.79 %       ±1.51% ±2.01% ±2.62%

Be aware that when doing many comparisons the risk of a false-positive
result increases. In this case there are 4 comparisons, you can thus
expect the following amount of false-positive results:
  0.20 false positives, when considering a   5% risk acceptance (*, **, ***),
  0.04 false positives, when considering a   1% risk acceptance (**, ***),
  0.00 false positives, when considering a 0.1% risk acceptance (***)