diff --git a/Dockerfile b/Dockerfile
index 19974ec..7e1efa8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -15,5 +15,10 @@ ENV GADFLY_REPORTS_ADDR=:8090 \
     GADFLY_REPORTS_DB=/data/gadfly-reports.db
 EXPOSE 8090
 VOLUME ["/data"]
+# Fast probe so an orchestrator (e.g. Traefik) resumes routing within a few seconds
+# of a (re)start — the daemon binds the port in milliseconds. First probe at
+# --interval (5s); --start-period keeps early failures from flapping the status.
+HEALTHCHECK --interval=5s --timeout=3s --start-period=10s --retries=3 \
+  CMD wget -q -O - http://localhost:8090/healthz || exit 1
 ENTRYPOINT ["/usr/local/bin/gadfly-reports"]
 CMD ["serve"]
diff --git a/README.md b/README.md
index d4c934e..1b0c8b3 100644
--- a/README.md
+++ b/README.md
@@ -57,9 +57,14 @@ services:
     networks: [traefik]
     healthcheck:
       test: ["CMD", "wget", "-q", "-O", "-", "http://localhost:8090/healthz"]
-      interval: 30s
-      timeout: 5s
+      # Fast probe so Traefik resumes routing within ~1s of a restart (the daemon
+      # binds the port in milliseconds). Without a fast probe Traefik 502s until the
+      # first check — the usual "why is it down for 30s after restart".
+      interval: 5s
+      timeout: 3s
       retries: 3
+      start_period: 10s
+      start_interval: 1s   # probe every 1s during start_period (needs Docker 25+)
     labels:
       - "traefik.enable=true"
       - "traefik.http.routers.gadfly-reports.rule=Host(`reports.example.com`)"
@@ -83,6 +88,13 @@ Traefik bits to your setup — the **host** (`reports.example.com`), the **entry
 to the container's `:8090`. Then point `gadfly`'s `GADFLY_FINDINGS_URL` and `gadfly-mcp`'s
 `--store` at `https://reports.example.com` (with the same token).
 
+On `docker compose pull && docker compose up -d`, the fast healthcheck lets Traefik resume routing
+within ~1s (the daemon starts in milliseconds — Traefik just won't route to a container whose health
+probe hasn't passed yet, which is the "down for 30s after restart" gotcha). Your data lives on the
+`gadfly-reports-data` volume and survives restarts; the only loss exposure is a review POSTing
+findings during that ~1s window, since gadfly's emit is fire-and-forget (no retry) — negligible
+against reviews that take minutes.
+
 ## HTTP API (the canonical contract)
 
 | Method & path | Body / query | Purpose |
@@ -143,6 +155,10 @@ number of models that reported one is known, so a confirmed finding that **only
 The `solo` column counts those. This is derived from the data (reporter count); the grader never has
 to flag it. Set the bonus to `1` to disable.
 
+Its mirror, **solo-error penalty ×** (default `1.5`), multiplies the FP penalty when a false positive
+was made by **only that model** — a unique wrong claim is noisier than a shared mistake. So a
+Blocking-claimed solo FP costs `high(8) × -0.5 × 1.5 = -6` vs `-4` for a shared one. Set to `1` to disable.
+
 Auth: the `/ui` shell is public (it holds no data); paste the store token into its **connect** box,
 or open `/ui?token=<token>` once (remembered in `localStorage`). Prefer your own dashboard? Point
 Grafana/Metabase/etc. at the SQLite file or the same `/export` + `/scoreboard` + `/runs` JSON.
diff --git a/ui.html b/ui.html
index e114f46..b5b2157 100644
--- a/ui.html
+++ b/ui.html
@@ -81,6 +81,7 @@
         <span class="small mut">critical</span><input type="number" id="p_critical" value="20">
         <span class="small mut" style="margin-left:18px">false-positive penalty ×</span><input type="number" id="fp_mult" value="-0.5" step="0.5" title="A false positive scores this × the severity the model CLAIMED (its lens verdict). e.g. a Blocking-claimed FP at -0.5 = high(8) × -0.5 = -4 pts.">
         <span class="small mut" style="margin-left:18px">solo-find bonus ×</span><input type="number" id="solo_bonus" value="1.5" step="0.5" min="1" title="A confirmed finding that NO other model reported scores this × its severity points — rewarding a model for catching what the swarm missed. 1 = no bonus.">
+        <span class="small mut" style="margin-left:18px">solo-error penalty ×</span><input type="number" id="solo_err" value="1.5" step="0.5" min="1" title="A false positive that NO other model made (a unique wrong claim) multiplies its FP penalty by this — noisier than a shared mistake. 1 = no extra penalty.">
       </div>
     </div>
   </div>
@@ -168,6 +169,7 @@ function curve(){
 }
 function fpMult(){ const v = parseFloat(document.getElementById("fp_mult").value); return isNaN(v) ? 0 : v; }
 function soloBonus(){ const v = parseFloat(document.getElementById("solo_bonus").value); return isNaN(v) ? 1 : v; }
+function soloErr(){ const v = parseFloat(document.getElementById("solo_err").value); return isNaN(v) ? 1 : v; }
 // A false positive has no graded severity, so penalize it by the severity the
 // MODEL claimed — its lens verdict (raw_severity) — mapped onto the curve. The
 // louder the wrong cry, the bigger the penalty.
@@ -235,7 +237,7 @@ function aggregate(f){
     else { m.ungraded.add(r.finding_id); }
   }
 
-  const fpm = fpMult(), sb = soloBonus();
+  const fpm = fpMult(), sb = soloBonus(), se = soloErr();
   const out = [...M.values()].map(m => {
     const sevCounts = Object.fromEntries(SEVS.map(s=>[s,0]));
     let confirmedPoints = 0, solo = 0;
@@ -245,7 +247,7 @@ function aggregate(f){
       if (isSolo) solo++;
       confirmedPoints += (c[sevv] || 0) * (isSolo ? sb : 1);
     }
-    let fpPen = 0; for (const k of m.fp.values()) fpPen += (c[k]||0) * fpm; // negative when fpm<0
+    let fpPen = 0; for (const [fid, k] of m.fp){ const soloE = (reporters.get(fid)?.size || 1) === 1; fpPen += (c[k]||0) * fpm * (soloE ? se : 1); } // solo (unique) errors penalized extra
     const points = confirmedPoints + fpPen; // NET: solo-boosted confirmed + FP penalty
     const findings = m.findings.size, confirmed = m.confirmed.size;
     return { model:m.model, provider:m.provider, runs:m.runs, minutes:m.minutes,