bitbrain gun README: the gain warning was wrong and contradicted its own verdict section (it recommended the direction measured decisively harmful)
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@@ -79,12 +79,17 @@ Default is **off**; the shipped rack never calls it. Minimal `.env`:
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```
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```
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TR_RACK_BITBRAIN=both
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TR_RACK_BITBRAIN=both
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TR_RACK_PATTERN=off
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TR_RACK_PATTERN=off
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TR_BITBRAIN_GAINS=1.0,1.25,1.5,2.0
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TR_BITBRAIN_GAINS=1.0 # 1.0 = identity = aims EXACTLY like Pattern
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TR_BITBRAIN_MEM=decay
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TR_BITBRAIN_MEM=decay
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TR_BITBRAIN_LOG=1
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TR_BITBRAIN_LOG=1
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```
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```
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⚠️ **Warning:** the **default** candidate set `{0, 0.25, 0.5, 0.75, 1.0}` can only reach 1.0 — it can only **shrink** the lead (toward HeadOn), which was measured **harmful** at long range. The useful set is the one that allows gains **above 1.0**: `1.0,1.25,1.5,2.0`.
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⚠️ **`TR_BITBRAIN_GAINS=1.0` is the identity** — with one candidate at 1.0 the gun aims **exactly like Pattern**.
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**Do not read the candidate list as a recommendation.** Measured live: fixed gains **above** 1.0 are
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*decisively harmful* (1.5 → −93.8 dmg/run, p=0.0006; 1.25 → −34.2 dmg/run), a learner restricted to **≤ 1.0**
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is a **wash** (−2.5 dmg/run, p=0.87), and zero lead (= HeadOn) is **catastrophic** (14 vs 279 dmg/run).
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So the default set `{0, 0.25, 0.5, 0.75, 1.0}` is **not** a recommendation either — it merely *allows* the gun
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to shrink the lead toward HeadOn. Multi-candidate lists are for running the experiment, not for playing.
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## MEASURED VERDICT
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## MEASURED VERDICT
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