Halopen vs Wispr Flow -- raw evidence, measured 2026-09-20
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Builds tested:   Halopen 1.8.29 (build 189)  and  Wispr Flow 1.6.897
Machine:         one MacBook Pro, built-in microphone, quiet room
Both apps at their default settings. Halopen's output mode pinned to
Verbatim, its shipped default. One app running at a time: both listen for
the same key, and a take answered by the wrong app is void.

FIDELITY  (fidelity-script.txt, fidelity-halopen.txt, fidelity-wispr-flow.txt)
  Audio:   fidelity-script.txt spoken by macOS itself --
           say -v Samantha -r 170 -o fidelity-corpus.aiff "<the script>"
           so anyone can regenerate byte-identical audio.
  Played into each app three times. Each output file holds the three runs.
  Score:   twelve constructions that cleanup models tend to "correct" --
           kept as spoken, or changed.
             Halopen      kept 10, changed 2  ("should of" -> "should've";
                                              "the the" -> "the")
             Wispr Flow   kept 2,  changed 9, one not decided
                          ("i'm gonna": the output read "I'm going to",
                          recorded as undecided rather than counted)

SPEED  (speed-by-release-gap.tsv)
  Audio:   a 10-second recording of a person speaking.
  Measured from the moment the key is released to the moment text appears,
  by an external probe -- never either app's own timer.
  "settle" is the gap between the last word and releasing the key.
  Six takes per app per gap, interleaved so drift lands on both equally.
             gap     Halopen median    Wispr Flow median
             0.10s   783 ms            453 ms
             0.25s   829 ms            459 ms
             0.40s   2052 ms           489 ms
             0.80s   1697 ms           457 ms
  Wispr Flow was faster at every gap.

Limits: one machine, one day, one build of each. Software changes; re-run
before relying on these numbers. A NO_MEASUREMENT row is recorded as such,
never dropped.