diff --git a/src/lib/measurements/__tests__/pick-canonical-workout-rows.test.ts b/src/lib/measurements/__tests__/pick-canonical-workout-rows.test.ts
new file mode 100644
index 000000000..aed1ac1b9
--- /dev/null
+++ b/src/lib/measurements/__tests__/pick-canonical-workout-rows.test.ts
@@ -0,0 +1,180 @@
+import { describe, expect, it } from "vitest";
+
+import { pickCanonicalWorkoutRows } from "../pick-canonical-workout-rows";
+
+interface RowFixture {
+  id: string;
+  startedAt: Date;
+  sportType: string;
+  source: "APPLE_HEALTH" | "WITHINGS" | "MANUAL" | "IMPORT";
+}
+
+describe("pickCanonicalWorkoutRows", () => {
+  it("returns the empty list unchanged for an empty input", () => {
+    expect(pickCanonicalWorkoutRows([])).toEqual([]);
+  });
+
+  it("keeps a single workout regardless of source", () => {
+    const rows: RowFixture[] = [
+      {
+        id: "w-1",
+        startedAt: new Date("2026-05-16T08:00:00Z"),
+        sportType: "running",
+        source: "WITHINGS",
+      },
+    ];
+    expect(pickCanonicalWorkoutRows(rows).map((r) => r.id)).toEqual(["w-1"]);
+  });
+
+  it("prefers APPLE_HEALTH over WITHINGS when both source the same workout", () => {
+    const rows: RowFixture[] = [
+      {
+        id: "apple",
+        startedAt: new Date("2026-05-16T08:00:00Z"),
+        sportType: "running",
+        source: "APPLE_HEALTH",
+      },
+      {
+        id: "withings",
+        startedAt: new Date("2026-05-16T08:01:30Z"), // 90 s apart — same 5-min slot
+        sportType: "running",
+        source: "WITHINGS",
+      },
+    ];
+    expect(pickCanonicalWorkoutRows(rows).map((r) => r.id)).toEqual(["apple"]);
+  });
+
+  it("does NOT collapse two distinct runs whose starts are > 5 min apart", () => {
+    const rows: RowFixture[] = [
+      {
+        id: "first",
+        startedAt: new Date("2026-05-16T08:00:00Z"),
+        sportType: "running",
+        source: "APPLE_HEALTH",
+      },
+      {
+        id: "second",
+        startedAt: new Date("2026-05-16T08:06:00Z"), // 6 min after start — separate bucket
+        sportType: "running",
+        source: "APPLE_HEALTH",
+      },
+    ];
+    expect(pickCanonicalWorkoutRows(rows).map((r) => r.id)).toEqual([
+      "first",
+      "second",
+    ]);
+  });
+
+  it("keeps workouts of different sports that start in the same minute", () => {
+    const rows: RowFixture[] = [
+      {
+        id: "run",
+        startedAt: new Date("2026-05-16T08:00:00Z"),
+        sportType: "running",
+        source: "APPLE_HEALTH",
+      },
+      {
+        id: "cycle",
+        startedAt: new Date("2026-05-16T08:01:00Z"),
+        sportType: "cycling",
+        source: "APPLE_HEALTH",
+      },
+    ];
+    expect(pickCanonicalWorkoutRows(rows).map((r) => r.id).sort()).toEqual([
+      "cycle",
+      "run",
+    ]);
+  });
+
+  it("preserves input order on the output", () => {
+    const rows: RowFixture[] = [
+      {
+        id: "morning",
+        startedAt: new Date("2026-05-16T06:00:00Z"),
+        sportType: "running",
+        source: "APPLE_HEALTH",
+      },
+      {
+        id: "evening",
+        startedAt: new Date("2026-05-16T18:00:00Z"),
+        sportType: "cycling",
+        source: "APPLE_HEALTH",
+      },
+    ];
+    expect(pickCanonicalWorkoutRows(rows).map((r) => r.id)).toEqual([
+      "morning",
+      "evening",
+    ]);
+  });
+
+  it("honours a user-supplied ladder that promotes WITHINGS over APPLE_HEALTH", () => {
+    const rows: RowFixture[] = [
+      {
+        id: "apple",
+        startedAt: new Date("2026-05-16T08:00:00Z"),
+        sportType: "running",
+        source: "APPLE_HEALTH",
+      },
+      {
+        id: "withings",
+        startedAt: new Date("2026-05-16T08:01:00Z"),
+        sportType: "running",
+        source: "WITHINGS",
+      },
+    ];
+    const userPriority = {
+      metricPriority: {
+        steps: ["WITHINGS", "APPLE_HEALTH", "MANUAL", "IMPORT"],
+      },
+    };
+    expect(
+      pickCanonicalWorkoutRows(rows, userPriority).map((r) => r.id),
+    ).toEqual(["withings"]);
+  });
+
+  it("keeps the manual entry when no priority-ladder source claims the slot", () => {
+    // Edge case: a user with both APPLE_HEALTH and WITHINGS still
+    // manually recorded an "elliptical" workout the integrations
+    // don't track. Manual wins by default (only entry in bucket).
+    const rows: RowFixture[] = [
+      {
+        id: "manual",
+        startedAt: new Date("2026-05-16T08:00:00Z"),
+        sportType: "elliptical",
+        source: "MANUAL",
+      },
+    ];
+    expect(pickCanonicalWorkoutRows(rows).map((r) => r.id)).toEqual(["manual"]);
+  });
+
+  it("falls through to keeping every row when sources aren't on the ladder at all", () => {
+    // Theoretical safety net — no real source emits a value outside
+    // the canonical enum, but the picker MUST NEVER drop signal it
+    // can't classify. Forcing a ladder of a single source the bucket
+    // doesn't carry exercises the fallback path.
+    const rows: RowFixture[] = [
+      {
+        id: "a",
+        startedAt: new Date("2026-05-16T08:00:00Z"),
+        sportType: "running",
+        source: "APPLE_HEALTH",
+      },
+      {
+        id: "b",
+        startedAt: new Date("2026-05-16T08:01:00Z"),
+        sportType: "running",
+        source: "WITHINGS",
+      },
+    ];
+    const oddPriority = {
+      metricPriority: {
+        steps: ["IMPORT"],
+      },
+    };
+    expect(
+      pickCanonicalWorkoutRows(rows, oddPriority)
+        .map((r) => r.id)
+        .sort(),
+    ).toEqual(["a", "b"]);
+  });
+});
diff --git a/src/lib/measurements/pick-canonical-workout-rows.ts b/src/lib/measurements/pick-canonical-workout-rows.ts
new file mode 100644
index 000000000..f7b473feb
--- /dev/null
+++ b/src/lib/measurements/pick-canonical-workout-rows.ts
@@ -0,0 +1,157 @@
+/**
+ * v1.4.30 — cross-source canonical-row picker for `Workout` rows.
+ *
+ * Same intent as `pickCanonicalSourceRows()` in
+ * `src/lib/analytics/source-priority.ts`, applied to workouts. A user
+ * wearing an Apple Watch + a Withings ScanWatch records the same run
+ * once via each integration; the dashboard "Recent workouts" tile
+ * would otherwise show the run twice.
+ *
+ * Algorithm (v1.4.30 — matches the measurement ladder per R-F open
+ * question #4):
+ *   1. Bucket workouts by the rounded start timestamp + sport-type
+ *      (`<5-minute slot>:<sport>`). Two HKWorkout entries for the same
+ *      logical run start within a minute of each other on both
+ *      sources; the rounding gives the cross-source matcher slack
+ *      without collapsing distinct back-to-back workouts.
+ *   2. For each bucket, walk the SOURCE priority ladder
+ *      (`APPLE_HEALTH ≻ WITHINGS ≻ MANUAL ≻ IMPORT` per the existing
+ *      source-priority validator's default) and pick the FIRST
+ *      source that has any row in that bucket. Keep every row from
+ *      the winning source; drop the rest.
+ *   3. Rows whose source isn't in the ladder pass through untouched
+ *      (fallback intent — never silently drop signal).
+ *
+ * Determinism precondition: input rows MUST be in deterministic order
+ * (typically `ORDER BY startedAt ASC, id ASC` from the caller's
+ * Prisma read). The output preserves input order.
+ *
+ * Future v1.5.x tune: metric-aware picker per R-F open question #4 —
+ * route → Apple wins, HR zones → Withings wins. Out of scope for
+ * v1.4.30; the existing ladder ships first so the dashboard tile is
+ * unambiguous.
+ */
+import type {
+  MeasurementSource,
+} from "@/generated/prisma/client";
+
+import {
+  getSourceLadder,
+  parseSourcePriority,
+} from "@/lib/validations/source-priority";
+
+/**
+ * Minimum row shape — same posture as `SourcePickerRow`. The helper
+ * only consults the three fields; downstream callers can read every
+ * other column they fetched alongside.
+ */
+export interface WorkoutPickerRow {
+  startedAt: Date;
+  sportType: string;
+  source: MeasurementSource;
+}
+
+/**
+ * Bucket-slot length. Two workouts whose `startedAt` falls in the
+ * same 5-minute slot AND share the same sportType are treated as the
+ * "same" workout from different sources. Tightens further than the
+ * 1-minute clock skew between HK + Withings would suggest because
+ * iOS posts HK `startDate` rounded to the second but Withings stamps
+ * its `startdate` independently — five minutes gives both heads
+ * enough slack on a heavy-traffic morning sync without crossing the
+ * "two back-to-back runs" boundary (a user does NOT do two ten-minute
+ * runs five minutes apart in practice).
+ */
+const BUCKET_SLOT_MS = 5 * 60 * 1000;
+
+function bucketKey(row: WorkoutPickerRow): string {
+  const slot = Math.floor(row.startedAt.getTime() / BUCKET_SLOT_MS);
+  return `${slot}:${row.sportType}`;
+}
+
+/**
+ * Pick canonical rows across sources for a user's workouts.
+ *
+ * @param rows               input rows (deterministic order required)
+ * @param userPriorityJson   the user's `sourcePriorityJson` blob — same
+ *                           shape the measurement picker consults.
+ *                           Falls back to the canonical default ladder
+ *                           when null / unparseable.
+ * @returns the subset of input rows that survives the picker. Insertion
+ *          order preserved.
+ */
+export function pickCanonicalWorkoutRows<T extends WorkoutPickerRow>(
+  rows: readonly T[],
+  userPriorityJson: unknown = null,
+): T[] {
+  if (rows.length === 0) return [];
+
+  // Workouts ride the `steps` metric's source ladder — the
+  // canonical-activity bucket. The user's iOS Settings → Sources UI
+  // configures the same ladder for the workout dashboard tile;
+  // unifying on "steps" keeps a single configuration surface rather
+  // than introducing a new `workouts` metric key. Future ladders for
+  // workout-specific tunes (route-vs-zones) ride a v1.5.x change.
+  const resolved = parseSourcePriority(userPriorityJson);
+  const sourceLadder = getSourceLadder(resolved, "steps");
+
+  const buckets = new Map<
+    string,
+    {
+      rows: T[];
+      sources: Set<MeasurementSource>;
+    }
+  >();
+  for (const row of rows) {
+    const key = bucketKey(row);
+    const slot = buckets.get(key) ?? { rows: [], sources: new Set() };
+    slot.rows.push(row);
+    slot.sources.add(row.source);
+    buckets.set(key, slot);
+  }
+
+  const canonical: T[] = [];
+  for (const [, slot] of buckets) {
+    if (slot.rows.length === 1) {
+      // No cross-source overlap → keep the single row regardless of
+      // ladder membership.
+      canonical.push(slot.rows[0]);
+      continue;
+    }
+
+    let picked: MeasurementSource | undefined;
+    for (const source of sourceLadder) {
+      if (slot.sources.has(source)) {
+        picked = source;
+        break;
+      }
+    }
+
+    if (!picked) {
+      // None of the bucket's sources are listed in the ladder — never
+      // silently drop. Keep every row in the bucket; downstream
+      // callers can choose to surface a "duplicate from unrecognised
+      // sources" diagnostic.
+      canonical.push(...slot.rows);
+      continue;
+    }
+
+    for (const row of slot.rows) {
+      if (row.source === picked) canonical.push(row);
+    }
+  }
+
+  // Re-sort to preserve input order — the bucket map iterates in
+  // insertion order but the per-bucket fan-out can interleave rows
+  // from later buckets ahead of earlier-bucket survivors. Caller
+  // wants the same `startedAt ASC` order it passed in.
+  canonical.sort((a, b) => {
+    const delta = a.startedAt.getTime() - b.startedAt.getTime();
+    if (delta !== 0) return delta;
+    // Stable-tiebreak on sportType so the output is deterministic
+    // even when two surviving rows share startedAt (rare; manual
+    // entries on the same second).
+    return a.sportType.localeCompare(b.sportType);
+  });
+  return canonical;
+}