diff --git a/locat/locat.py b/locat/locat.py
index 2b4a934..d83e0ed 100755
--- a/locat/locat.py
+++ b/locat/locat.py
@@ -1453,11 +1453,15 @@ def logsidak_from_logp(logp_min: float, m_eff: int) -> float:
       log p_sidák = log(1 - (1 - p_min)^m_eff)
                   = log(1 - exp(m_eff * log(1 - p_min)))
     with log(1 - p_min) = log1p(-exp(logp_min)).
+
+    This preserves the original locat_condensed depletion-scan behavior,
+    where the Sidák correction is applied for ordinary negative log-p values
+    and only skipped when there is effectively a single test.
     """
-    if m_eff <= 1 or logp_min <= 0:
-        return logp_min
+    if m_eff <= 1:
+        return float(logp_min)
     l1mp = np.log1p(-np.exp(logp_min))
-    return np.log1p(-np.exp(m_eff * l1mp))
+    return float(np.log1p(-np.exp(m_eff * l1mp)))
 
 
 @numba.njit
diff --git a/tests/utils/test_simulations.py b/tests/utils/test_simulations.py
index dea6ed3..240b500 100644
--- a/tests/utils/test_simulations.py
+++ b/tests/utils/test_simulations.py
@@ -21,7 +21,7 @@ def test_simulated_data(self):
         self.assertAlmostEqual(-1.512298, gene_0_results.bic, places=5)
         self.assertAlmostEqual(46.893, gene_0_results.zscore, places=2)
         self.assertAlmostEqual(1.0, gene_0_results.sens_score, places=5)
-        self.assertAlmostEqual(3.98127e-8, gene_0_results.depletion_pval, places=12)
+        self.assertAlmostEqual(5.1756511e-7, gene_0_results.depletion_pval, places=8)
         self.assertAlmostEqual(1e-15, gene_0_results.concentration_pval, places=14)
         self.assertAlmostEqual( 0.000970843, gene_0_results.pval, places=8)
         self.assertEqual(1, gene_0_results.K_components)