diff --git a/src/lib/insights/__tests__/status-cache.test.ts b/src/lib/insights/__tests__/status-cache.test.ts
index 9257c6dcc..4bdb32588 100644
--- a/src/lib/insights/__tests__/status-cache.test.ts
+++ b/src/lib/insights/__tests__/status-cache.test.ts
@@ -457,6 +457,73 @@ describe("computeStatusInputFingerprint (v1.18.11 P6)", () => {
     expect(c).not.toBe(a);
   });
 
+  it("flips when a correlation-discovery channel moves (P6-tighten)", async () => {
+    const t0 = new Date("2026-05-30T08:00:00.000Z");
+    // The card's own metric (WEIGHT) is steady across both probes; only a
+    // discovery BEHAVIOUR channel (steps) gains rows. Without the channel
+    // coverage the gate would re-stamp the stale assessment and a newly
+    // discoverable "steps → next-day weight" relation would never surface.
+    const weightOnly = [
+      { type: "WEIGHT", _count: { _all: 10 }, _max: { measuredAt: t0 } },
+    ];
+    vi.mocked(prisma.measurement.groupBy).mockResolvedValueOnce(
+      weightOnly as never,
+    );
+    const before = await computeStatusInputFingerprint({
+      userId: "u1",
+      types: ["WEIGHT"],
+      includeCorrelationChannels: true,
+    });
+
+    // A new ACTIVITY_STEPS reading (a discovery channel, NOT the card's own
+    // type) appears — the grouped probe now returns it.
+    vi.mocked(prisma.measurement.groupBy).mockResolvedValueOnce([
+      ...weightOnly,
+      {
+        type: "ACTIVITY_STEPS",
+        _count: { _all: 30 },
+        _max: { measuredAt: t0 },
+      },
+    ] as never);
+    const after = await computeStatusInputFingerprint({
+      userId: "u1",
+      types: ["WEIGHT"],
+      includeCorrelationChannels: true,
+    });
+    expect(after).not.toBe(before);
+  });
+
+  it("widens the grouped query by the discovery channels only when asked", async () => {
+    vi.mocked(prisma.measurement.groupBy).mockResolvedValue([] as never);
+    await computeStatusInputFingerprint({
+      userId: "u1",
+      types: ["WEIGHT"],
+    });
+    const narrow = vi.mocked(prisma.measurement.groupBy).mock.calls[0][0] as {
+      where: { type: { in: string[] } };
+    };
+    // No channel widening — exactly the card's own types.
+    expect(narrow.where.type.in).toEqual(["WEIGHT"]);
+
+    vi.mocked(prisma.measurement.groupBy).mockClear();
+    await computeStatusInputFingerprint({
+      userId: "u1",
+      types: ["WEIGHT"],
+      includeCorrelationChannels: true,
+    });
+    const wide = vi.mocked(prisma.measurement.groupBy).mock.calls[0][0] as {
+      where: { type: { in: string[] } };
+    };
+    // The card's own type is present exactly once (de-duped against the
+    // discovery channel set, which also carries WEIGHT as an outcome).
+    expect(wide.where.type.in.filter((t) => t === "WEIGHT")).toHaveLength(1);
+    // A behaviour channel the card never reads on its own is now folded in.
+    expect(wide.where.type.in).toContain("ACTIVITY_STEPS");
+    expect(wide.where.type.in).toContain("SLEEP_DURATION");
+    // MOOD is mood-entry backed, not a measurement type — never in the IN set.
+    expect(wide.where.type.in).not.toContain("MOOD");
+  });
+
   it("folds mood and extra inputs into the hash when requested", async () => {
     vi.mocked(prisma.measurement.groupBy).mockResolvedValue([
       {
diff --git a/src/lib/insights/status-cache.ts b/src/lib/insights/status-cache.ts
index 28d2021c8..62fe5e86e 100644
--- a/src/lib/insights/status-cache.ts
+++ b/src/lib/insights/status-cache.ts
@@ -9,8 +9,27 @@ import {
   type InsightStatusScope,
 } from "@/lib/jobs/insight-status-generate-shared";
 import { hashInsightSnapshot } from "@/lib/insights/snapshot-hash";
+import {
+  DISCOVERY_BEHAVIOURS,
+  DISCOVERY_OUTCOMES,
+} from "@/lib/insights/correlation-discovery";
 import { annotate } from "@/lib/logging/context";
 
+/**
+ * v1.18.11 (P6-tighten) — the measurement types the FDR correlation-discovery
+ * matrix scans (`correlation-discovery.ts`). A status card whose prompt folds
+ * the surviving cross-metric correlations (`getRelevantCorrelationsForMetric`)
+ * can have a NEW correlation surface purely because one of these channels
+ * gained paired data — with no change to the card's own metric rows. The input
+ * gate must therefore fingerprint these channels too, or a freshly discovered
+ * relation would be silently skipped for the day. `MOOD` is mood-entry backed
+ * (folded separately via `includeMood`), so it is excluded from the
+ * measurement-type set here.
+ */
+const CORRELATION_CHANNEL_TYPES: readonly MeasurementType[] = Array.from(
+  new Set<string>([...DISCOVERY_BEHAVIOURS, ...DISCOVERY_OUTCOMES]),
+).filter((key) => key !== "MOOD") as MeasurementType[];
+
 /**
  * Shared cache-read for the seven `*-status.ts` insight generators.
  *
@@ -230,6 +249,20 @@ export async function computeStatusInputFingerprint(args: {
    * moved. Omit for metrics that don't read mood.
    */
   includeMood?: boolean;
+  /**
+   * v1.18.11 (P6-tighten) — include the FDR correlation-discovery channels
+   * (`CORRELATION_CHANNEL_TYPES`) in the fingerprint. A card that folds the
+   * surviving cross-metric correlations (via `getRelevantCorrelationsForMetric`)
+   * can surface a NEW relation purely because a discovery channel — steps,
+   * sleep, HRV, glucose, daylight, … — gained paired data, with NO change to
+   * the card's own metric rows. Without this the input gate would re-stamp the
+   * stale assessment and the freshly discovered correlation would never reach
+   * the prose. Cheap: it widens the SAME grouped query by the channel type set
+   * (no extra round-trip). `includeMood` is honoured for the mood arm of the
+   * discovery matrix as before. Set on any card whose prompt carries a
+   * relations block (i.e. whose metric is a discovery channel).
+   */
+  includeCorrelationChannels?: boolean;
   /**
    * v1.18.11 (P6) — extra non-measurement inputs the snapshot derives from
    * (e.g. BMI reads the profile `heightCm`). Folded into the hash so a
@@ -237,12 +270,20 @@ export async function computeStatusInputFingerprint(args: {
    */
   extra?: Record<string, string | number | null>;
 }): Promise<string> {
+  // Widen the grouped query by the correlation-discovery channels when the
+  // card folds a relations block, so a discovery-channel change flips the gate.
+  // De-duplicate the union (a card's own type can also be a discovery channel)
+  // so the `type IN (...)` list carries each type once.
+  const groupTypes = args.includeCorrelationChannels
+    ? Array.from(new Set<string>([...args.types, ...CORRELATION_CHANNEL_TYPES]))
+    : [...args.types];
+
   const [grouped, mood] = await Promise.all([
     prisma.measurement.groupBy({
       by: ["type"],
       where: {
         userId: args.userId,
-        type: { in: [...args.types] },
+        type: { in: groupTypes as MeasurementType[] },
         deletedAt: null,
       },
       _count: { _all: true },
diff --git a/src/lib/insights/weight-status.ts b/src/lib/insights/weight-status.ts
index 7a2c43499..8e734881a 100644
--- a/src/lib/insights/weight-status.ts
+++ b/src/lib/insights/weight-status.ts
@@ -226,6 +226,12 @@ export async function prepareWeightStatusForUser(
     userId,
     types: ["WEIGHT", "BLOOD_PRESSURE_SYS", "BLOOD_PRESSURE_DIA"],
     includeMood: true,
+    // v1.18.11 (P6-tighten) — WEIGHT is an FDR discovery OUTCOME channel and
+    // the prompt folds `getRelevantCorrelationsForMetric(userId, "WEIGHT")`, so
+    // a relation surfacing off a behaviour channel (e.g. more daylight →
+    // next-day weight) must flip the gate even when no weight row moved. Fold
+    // the discovery channels + the prior-analysis anchor into the fingerprint.
+    includeCorrelationChannels: true,
   });
   if (!force) {
     const unchangedInput = await gateUnchangedStatusInput({