diff --git a/src/app/api/insights/correlations/route.ts b/src/app/api/insights/correlations/route.ts
index df48026fb..d628e588f 100644
--- a/src/app/api/insights/correlations/route.ts
+++ b/src/app/api/insights/correlations/route.ts
@@ -75,11 +75,15 @@ export const GET = apiHandler(async () => {
   const tz = profile?.timezone ?? "Europe/Berlin";
   const since = new Date(Date.now() - WINDOW_DAYS * MS_PER_DAY);
 
-  // Behaviour channels are measurement-backed except MOOD (mood entries).
+  // MOOD is backed by mood entries, not measurements — it appears as both a
+  // behaviour and (v1.11.5 F3) an outcome channel, so filter it out of the
+  // measurement type list on either side.
   const behaviourTypes = DISCOVERY_BEHAVIOURS.filter(
     (k) => k !== "MOOD",
   ) as MeasurementType[];
-  const outcomeTypes = [...DISCOVERY_OUTCOMES] as MeasurementType[];
+  const outcomeTypes = DISCOVERY_OUTCOMES.filter(
+    (k) => k !== "MOOD",
+  ) as MeasurementType[];
 
   const [measurements, moodEntries] = await Promise.all([
     prisma.measurement.findMany({
@@ -108,23 +112,23 @@ export const GET = apiHandler(async () => {
     measurementsByType.set(m.type, list);
   }
 
+  // MOOD's daily-mean series is shared between its behaviour and outcome
+  // roles (computed once).
+  const moodDaily = toDailyMeans(
+    moodEntries.map((e) => ({ value: e.score, at: e.moodLoggedAt })),
+    tz,
+  );
+
   const series: NamedSeries[] = [];
   for (const key of DISCOVERY_BEHAVIOURS) {
     const points =
-      key === "MOOD"
-        ? toDailyMeans(
-            moodEntries.map((e) => ({ value: e.score, at: e.moodLoggedAt })),
-            tz,
-          )
-        : toDailyMeans(measurementsByType.get(key) ?? [], tz);
+      key === "MOOD" ? moodDaily : toDailyMeans(measurementsByType.get(key) ?? [], tz);
     series.push({ key, role: "behaviour", points });
   }
   for (const key of DISCOVERY_OUTCOMES) {
-    series.push({
-      key,
-      role: "outcome",
-      points: toDailyMeans(measurementsByType.get(key) ?? [], tz),
-    });
+    const points =
+      key === "MOOD" ? moodDaily : toDailyMeans(measurementsByType.get(key) ?? [], tz);
+    series.push({ key, role: "outcome", points });
   }
 
   const result = discoverCorrelations(series);
diff --git a/src/components/insights/mood/__tests__/mood-discovered-relations.test.tsx b/src/components/insights/mood/__tests__/mood-discovered-relations.test.tsx
new file mode 100644
index 000000000..e451048d6
--- /dev/null
+++ b/src/components/insights/mood/__tests__/mood-discovered-relations.test.tsx
@@ -0,0 +1,128 @@
+import { describe, it, expect, vi } from "vitest";
+import { renderToStaticMarkup } from "react-dom/server";
+import { QueryClient, QueryClientProvider } from "@tanstack/react-query";
+
+import { I18nProvider } from "@/lib/i18n/context";
+import { queryKeys } from "@/lib/query-keys";
+
+// Signed-in stub so the `enabled: isAuthenticated` gate opens without a fetch.
+vi.mock("@/hooks/use-auth", () => ({
+  useAuth: () => ({
+    user: { id: "u1" },
+    isLoading: false,
+    isAuthenticated: true,
+    error: null,
+    refetch: () => {},
+  }),
+}));
+
+import { MoodDiscoveredRelations } from "../mood-discovered-relations";
+
+interface DiscoveredCorrelation {
+  behaviour: string;
+  outcome: string;
+  n: number;
+  r: number;
+  pValue: number;
+  qValue: number;
+  interpretation: string;
+  lagDays: number;
+}
+
+function renderWith(
+  discovered: DiscoveredCorrelation[],
+  pairsTested = discovered.length,
+) {
+  const queryClient = new QueryClient({
+    defaultOptions: { queries: { retry: false, staleTime: Infinity } },
+  });
+  queryClient.setQueryData(queryKeys.insightsCorrelations(), {
+    discovered,
+    pairsTested,
+    fdrQ: 0.1,
+    minPairs: 20,
+  });
+  return renderToStaticMarkup(
+    <QueryClientProvider client={queryClient}>
+      <I18nProvider initialLocale="en">
+        <MoodDiscoveredRelations />
+      </I18nProvider>
+    </QueryClientProvider>,
+  );
+}
+
+function pair(over: Partial<DiscoveredCorrelation>): DiscoveredCorrelation {
+  return {
+    behaviour: "TIME_IN_DAYLIGHT",
+    outcome: "MOOD",
+    n: 40,
+    r: 0.5,
+    pValue: 0.001,
+    qValue: 0.02,
+    interpretation: "",
+    lagDays: 1,
+    ...over,
+  };
+}
+
+describe("<MoodDiscoveredRelations>", () => {
+  it("renders nothing without discovered data (loading / disabled surface)", () => {
+    const queryClient = new QueryClient({
+      defaultOptions: { queries: { retry: false } },
+    });
+    const html = renderToStaticMarkup(
+      <QueryClientProvider client={queryClient}>
+        <I18nProvider initialLocale="en">
+          <MoodDiscoveredRelations />
+        </I18nProvider>
+      </QueryClientProvider>,
+    );
+    expect(html).toBe("");
+  });
+
+  it("renders nothing when no discovered pair involves mood", () => {
+    const html = renderWith([
+      pair({ behaviour: "ACTIVITY_STEPS", outcome: "SLEEP_DURATION" }),
+    ]);
+    expect(html).toBe("");
+  });
+
+  it("phrases a behaviour → next-day mood pair (mood as outcome)", () => {
+    const html = renderWith([
+      pair({ behaviour: "TIME_IN_DAYLIGHT", outcome: "MOOD", r: 0.5 }),
+    ]);
+    expect(html).toContain('data-mood-role="outcome"');
+    expect(html).toContain('data-direction="up"');
+    // factor label resolves to the localized measurement name
+    expect(html).toContain("Time in Daylight");
+    expect(html).toContain("higher next-day mood");
+    // stat line carries n, r, q
+    expect(html).toContain("r = 0.50");
+    expect(html).toContain("q = 0.020");
+  });
+
+  it("phrases a mood → next-day outcome pair", () => {
+    const html = renderWith([
+      pair({ behaviour: "MOOD", outcome: "SLEEP_DURATION", r: -0.4 }),
+    ]);
+    expect(html).toContain('data-mood-role="behaviour"');
+    expect(html).toContain('data-direction="down"');
+    expect(html).toContain("Sleep");
+    expect(html).toContain("lower next-day");
+  });
+
+  it("filters to mood pairs and shows the honest tested footer", () => {
+    const html = renderWith(
+      [
+        pair({ behaviour: "TIME_IN_DAYLIGHT", outcome: "MOOD" }),
+        pair({ behaviour: "ACTIVITY_STEPS", outcome: "WEIGHT" }), // non-mood
+      ],
+      12,
+    );
+    expect((html.match(/data-slot="mood-discovered-pair"/g) ?? []).length).toBe(
+      1,
+    );
+    // footer reports 1 mood pair of 12 tested
+    expect(html).toContain("1 of 12");
+  });
+});
diff --git a/src/components/insights/mood/mood-discovered-relations.tsx b/src/components/insights/mood/mood-discovered-relations.tsx
new file mode 100644
index 000000000..d9168158f
--- /dev/null
+++ b/src/components/insights/mood/mood-discovered-relations.tsx
@@ -0,0 +1,136 @@
+"use client";
+
+import { useQuery } from "@tanstack/react-query";
+
+import { useAuth } from "@/hooks/use-auth";
+import { queryKeys } from "@/lib/query-keys";
+import { useTranslations } from "@/lib/i18n/context";
+
+/**
+ * v1.11.5 (F3) — FDR-controlled discovered mood relations.
+ *
+ * Surfaces the slice of the all-pairs correlation-discovery engine
+ * (`/api/insights/correlations`) that involves mood — both
+ * "behaviour today → next-day mood" (mood promoted to an OUTCOME channel in
+ * this release) and "mood today → next-day outcome". Only pairs that survive
+ * the Benjamini-Hochberg false-discovery correction the engine already
+ * applies are returned, so this is the statistically-defensible complement
+ * to the descriptive influence / better-days surfaces.
+ *
+ * Renders nothing when the operator has disabled the correlations surface
+ * (the route 403s — we degrade silently), while loading, or when no mood
+ * pair cleared the bar. Observational only; the standing disclaimer rides
+ * the card.
+ */
+
+interface DiscoveredCorrelation {
+  behaviour: string;
+  outcome: string;
+  n: number;
+  r: number;
+  pValue: number;
+  qValue: number;
+  interpretation: string;
+  lagDays: number;
+}
+
+interface CorrelationDiscoveryResponse {
+  discovered: DiscoveredCorrelation[];
+  pairsTested: number;
+  fdrQ: number;
+  minPairs: number;
+}
+
+/** Map a discovery channel key to its localized measurement-type label. */
+const CHANNEL_LABEL_KEY: Record<string, string> = {
+  TIME_IN_DAYLIGHT: "measurements.typeTimeInDaylight",
+  BLOOD_GLUCOSE: "measurements.typeBloodGlucose",
+  BLOOD_PRESSURE_SYS: "measurements.typeBloodPressure",
+  ACTIVITY_STEPS: "measurements.typeSteps",
+  SLEEP_DURATION: "measurements.typeSleep",
+  HEART_RATE_VARIABILITY: "measurements.typeHeartRateVariability",
+  RESTING_HEART_RATE: "measurements.typeRestingHeartRate",
+  WEIGHT: "measurements.typeWeight",
+};
+
+export function MoodDiscoveredRelations() {
+  const { isAuthenticated } = useAuth();
+  const { t } = useTranslations();
+
+  const { data, isLoading, isError } = useQuery({
+    queryKey: queryKeys.insightsCorrelations(),
+    queryFn: async () => {
+      const res = await fetch("/api/insights/correlations");
+      // 403 = operator disabled the surface; any non-OK degrades to nothing.
+      if (!res.ok) throw new Error("unavailable");
+      const json = await res.json();
+      return json.data as CorrelationDiscoveryResponse;
+    },
+    enabled: isAuthenticated,
+    staleTime: 60_000,
+    // The surface is optional — don't retry a deliberate 403 into noise.
+    retry: false,
+  });
+
+  if (isLoading || isError || !data) return null;
+
+  const moodPairs = data.discovered.filter(
+    (pair) => pair.behaviour === "MOOD" || pair.outcome === "MOOD",
+  );
+  if (moodPairs.length === 0) return null;
+
+  return (
+    <div className="space-y-2" data-slot="mood-discovered-relations">
+      <h3 className="text-base font-semibold">
+        {t("insights.mood.discovery.title")}
+      </h3>
+      <p className="text-muted-foreground text-sm">
+        {t("insights.mood.discovery.description")}
+      </p>
+      <ul className="divide-border divide-y">
+        {moodPairs.map((pair) => {
+          const moodIsOutcome = pair.outcome === "MOOD";
+          const channelKey = moodIsOutcome ? pair.behaviour : pair.outcome;
+          const factorLabel = t(CHANNEL_LABEL_KEY[channelKey] ?? channelKey);
+          const up = pair.r >= 0;
+          const sentenceKey = moodIsOutcome
+            ? up
+              ? "insights.mood.discovery.moodUp"
+              : "insights.mood.discovery.moodDown"
+            : up
+              ? "insights.mood.discovery.outcomeUp"
+              : "insights.mood.discovery.outcomeDown";
+          return (
+            <li
+              key={`${pair.behaviour}->${pair.outcome}`}
+              className="flex flex-col gap-1 py-2 text-sm"
+              data-slot="mood-discovered-pair"
+              data-mood-role={moodIsOutcome ? "outcome" : "behaviour"}
+              data-direction={up ? "up" : "down"}
+            >
+              <span className="text-foreground">
+                {t(sentenceKey, { factor: factorLabel })}
+              </span>
+              <span className="text-muted-foreground text-[11px] tabular-nums">
+                {t("insights.mood.discovery.stat", {
+                  n: pair.n,
+                  r: pair.r.toFixed(2),
+                  q: pair.qValue.toFixed(3),
+                })}
+              </span>
+            </li>
+          );
+        })}
+      </ul>
+      <p className="text-muted-foreground text-[11px]">
+        {t("insights.mood.discovery.footer", {
+          discovered: moodPairs.length,
+          tested: data.pairsTested,
+        })}
+      </p>
+      <p className="text-muted-foreground text-[11px]">
+        {t("insights.mood.discovery.disclaimer")}
+      </p>
+    </div>
+  );
+}
diff --git a/src/components/insights/mood/mood-insights-sections.tsx b/src/components/insights/mood/mood-insights-sections.tsx
index 56f705271..073d53f60 100644
--- a/src/components/insights/mood/mood-insights-sections.tsx
+++ b/src/components/insights/mood/mood-insights-sections.tsx
@@ -50,6 +50,7 @@ import {
   MoodBetterDays,
   type MoodBetterDayFactor,
 } from "./mood-better-days";
+import { MoodDiscoveredRelations } from "./mood-discovered-relations";
 
 /**
  * v1.8.5 — additional Mood Insights sections.
@@ -250,6 +251,11 @@ export function MoodInsightsSections() {
           bloodPressureSystolic={data.correlations.bloodPressureSystolic}
         />
       </div>
+
+      {/* F3 — the FDR-controlled discovered mood relations. Self-fetches the
+          correlation-discovery surface and renders nothing when the operator
+          disabled it, while loading, or when no mood pair cleared the bar. */}
+      <MoodDiscoveredRelations />
     </div>
   );
 }
diff --git a/src/lib/insights/__tests__/correlation-discovery.test.ts b/src/lib/insights/__tests__/correlation-discovery.test.ts
index d472e2863..131168053 100644
--- a/src/lib/insights/__tests__/correlation-discovery.test.ts
+++ b/src/lib/insights/__tests__/correlation-discovery.test.ts
@@ -95,3 +95,48 @@ describe("discoverCorrelations", () => {
     expect(result.discovered).toHaveLength(0);
   });
 });
+
+// ── F3 — MOOD as a discoverable OUTCOME channel ─────────────────────
+
+import { DISCOVERY_OUTCOMES } from "../correlation-discovery";
+
+describe("MOOD as outcome (F3)", () => {
+  it("registers MOOD in the outcome matrix", () => {
+    expect(DISCOVERY_OUTCOMES).toContain("MOOD");
+  });
+
+  it("surfaces a behaviour → next-day MOOD relation", () => {
+    // 30 contiguous days; daylight on day D drives mood on day D+1.
+    const n = 30;
+    const daylight = Array.from({ length: n }, (_, i) => 60 + (i % 10) * 5);
+    // mood[D+1] tracks daylight[D] with light noise → strong lagged r.
+    const mood = Array.from({ length: n }, (_, i) => {
+      const driver = i === 0 ? 60 : 60 + ((i - 1) % 10) * 5;
+      return 1 + (driver - 60) / 45 + (i % 2 === 0 ? 0.02 : -0.02);
+    });
+    const result = discoverCorrelations([
+      { key: "TIME_IN_DAYLIGHT", role: "behaviour", points: series(daylight) },
+      { key: "MOOD", role: "outcome", points: series(mood) },
+    ]);
+    const pair = result.discovered.find(
+      (p) => p.behaviour === "TIME_IN_DAYLIGHT" && p.outcome === "MOOD",
+    );
+    expect(pair).toBeDefined();
+    expect(pair!.r).toBeGreaterThan(0.5);
+  });
+
+  it("never tests the MOOD → MOOD self-pair", () => {
+    const n = 30;
+    const mood = Array.from({ length: n }, (_, i) => 3 + (i % 3));
+    const result = discoverCorrelations([
+      { key: "MOOD", role: "behaviour", points: series(mood) },
+      { key: "MOOD", role: "outcome", points: series(mood) },
+    ]);
+    expect(
+      result.discovered.find(
+        (p) => p.behaviour === "MOOD" && p.outcome === "MOOD",
+      ),
+    ).toBeUndefined();
+    expect(result.pairsTested).toBe(0);
+  });
+});
diff --git a/src/lib/insights/correlation-discovery.ts b/src/lib/insights/correlation-discovery.ts
index da9881ff6..959cb809e 100644
--- a/src/lib/insights/correlation-discovery.ts
+++ b/src/lib/insights/correlation-discovery.ts
@@ -249,6 +249,13 @@ export const DISCOVERY_OUTCOMES = [
   "HEART_RATE_VARIABILITY",
   "RESTING_HEART_RATE",
   "WEIGHT",
+  // v1.11.5 (F3) — mood is now an OUTCOME channel too, not only a behaviour.
+  // The discovery loop skips the MOOD→MOOD self-pair (`b.key === o.key`), so
+  // promoting it lets the FDR scan surface "behaviour today → next-day mood"
+  // relations (e.g. more daylight today → better mood tomorrow) in addition
+  // to the existing "mood today → next-day outcome" direction. BH-FDR
+  // already controls the larger pair family this opens up.
+  "MOOD",
   // Wrist temperature is a credible future OUTCOME channel (near-daily, so
   // n ≥ 20 is reachable; "did a hard workout / late alcohol raise next-night
   // temperature?"), but it is deliberately NOT a channel yet: it is