confidence improvement accuracy (*)    (**)   (***)
 vm/create-context.js n=100                                                        -1.06 %       ±8.00% ±10.65% ±13.88%
 vm/run-in-context.js withSigintListener=0 breakOnSigint=0 n=1                     -1.67 %       ±7.09%  ±9.43% ±12.27%
 vm/run-in-context.js withSigintListener=0 breakOnSigint=1 n=1                      2.73 %       ±7.58% ±10.11% ±13.21%
 vm/run-in-context.js withSigintListener=1 breakOnSigint=0 n=1                      1.23 %       ±6.48%  ±8.65% ±11.31%
 vm/run-in-context.js withSigintListener=1 breakOnSigint=1 n=1                     -2.97 %       ±4.42%  ±5.89%  ±7.66%
 vm/run-in-this-context.js withSigintListener=0 breakOnSigint=0 n=1                -2.35 %       ±5.64%  ±7.50%  ±9.77%
 vm/run-in-this-context.js withSigintListener=0 breakOnSigint=1 n=1                 5.30 %       ±6.35%  ±8.48% ±11.10%
 vm/run-in-this-context.js withSigintListener=1 breakOnSigint=0 n=1                 1.00 %       ±5.77%  ±7.69% ±10.03%
 vm/run-in-this-context.js withSigintListener=1 breakOnSigint=1 n=1                -3.33 %       ±4.76%  ±6.33%  ±8.24%

Be aware that when doing many comparisons the risk of a false-positive
result increases. In this case there are 9 comparisons, you can thus
expect the following amount of false-positive results:
  0.45 false positives, when considering a   5% risk acceptance (*, **, ***),
  0.09 false positives, when considering a   1% risk acceptance (**, ***),
  0.01 false positives, when considering a 0.1% risk acceptance (***)
++ mv output030121-121422.csv /w/bnch-comp