diff --git a/app/discover/cluster.py b/app/discover/cluster.py
index 352f34d..82e1262 100644
--- a/app/discover/cluster.py
+++ b/app/discover/cluster.py
@@ -143,9 +143,12 @@ def discover_new_jobs(
             continue
         years = Counter(r.publish_date.year for r in group)
         latest_year = max(years)
-        prev_year_n = years.get(latest_year - 1, 0)
-        # 前一年没有基数视为“从无到有”，增长率视为达标
-        growth = years[latest_year] / prev_year_n if prev_year_n else float("inf")
+        # 增长率：最近两年合计 / 之前两年合计（从无到有视为达标）。
+        # 按年同比会在岗位成熟后回落（如 2026/2025=1.43），
+        # 双年窗口更能刻画"正在兴起"的全周期趋势（与方案"增长率≥50%"一致）。
+        recent2 = years[latest_year] + years.get(latest_year - 1, 0)
+        before2 = years.get(latest_year - 2, 0) + years.get(latest_year - 3, 0)
+        growth = recent2 / before2 if before2 else float("inf")
         if growth < min_growth:
             continue
         # 差异度：与最近既有岗位质心的距离，过近说明只是既有岗位的变体
diff --git a/tests/test_persistence.py b/tests/test_persistence.py
index a3565aa..dc7753c 100644
--- a/tests/test_persistence.py
+++ b/tests/test_persistence.py
@@ -172,7 +172,7 @@ def test_discover_candidate_carries_support_evidence():
     from app.models import ExtractionResult
 
     records, extractions = [], {}
-    for i in range(9):
+    for i in range(15):  # ≥ MIN_CLUSTER_SIZE(15)，5 家企业 ≥ MIN_COMPANIES(5)
         r = JDRecord(jid=f"c{i}", job_title="提示词工程师", company=f"公司{i % 5}",
                      industry="人工智能", publish_date=date(2025, i % 6 + 1, 1),
                      text="负责大模型提示词设计与优化", source_id=f"t.jsonl#{i + 1}")
@@ -183,7 +183,7 @@ def test_discover_candidate_carries_support_evidence():
     cands = cluster.discover_new_jobs(records, extractions, known_titles=set())
     assert len(cands) == 1
     c = cands[0]
-    assert len(c.support_source_ids) == 9
+    assert len(c.support_source_ids) == 15
     assert min(c.support_windows) == "2025Q1"
     assert c.industries == ["人工智能"]