diff --git a/src/ert/dark_storage/common.py b/src/ert/dark_storage/common.py
index 629f6d46c81..0508a5b6284 100644
--- a/src/ert/dark_storage/common.py
+++ b/src/ert/dark_storage/common.py
@@ -118,7 +118,8 @@ def data_for_key(
     response_key = next((k for k in response_key_to_response_type if k == key), None)
     if response_key is None:
         response_key = next(
-            (k for k in response_key_to_response_type if k in key), None
+            (k for k in response_key_to_response_type if k in key and key != f"{k}H"),
+            None,
         )
 
     if response_key is not None:
diff --git a/tests/ert/unit_tests/dark_storage/test_common.py b/tests/ert/unit_tests/dark_storage/test_common.py
index ee4321bebea..9249596ac8c 100644
--- a/tests/ert/unit_tests/dark_storage/test_common.py
+++ b/tests/ert/unit_tests/dark_storage/test_common.py
@@ -1,3 +1,5 @@
+import datetime
+
 import pandas as pd
 import polars
 import pytest
@@ -73,6 +75,32 @@ def test_data_for_key_gives_mean_for_duplicate_values(tmp_path):
         )
 
 
+def test_data_for_key_doesnt_mistake_history_for_response(tmp_path):
+    with open_storage(tmp_path / "storage", mode="w") as storage:
+        summary_config = SummaryConfig(
+            name="summary", input_files=["CASE"], keys=["FGPR"]
+        )
+        experiment = storage.create_experiment(responses=[summary_config])
+        ensemble = experiment.create_ensemble(name="ensemble", ensemble_size=1)
+        ensemble.save_response(
+            "summary",
+            polars.DataFrame(
+                {
+                    "response_key": ["FGPR", "FGPR"],
+                    "time": polars.Series(
+                        [datetime.datetime(2000, 1, 1), datetime.datetime(2000, 1, 2)],
+                        dtype=polars.Datetime("ms"),
+                    ),
+                    "values": polars.Series([0.0, 1.0], dtype=polars.Float32),
+                }
+            ),
+            0,
+        )
+        ensemble.refresh_ensemble_state()
+
+        assert data_for_key(ensemble, "FGPRH").empty
+
+
 def test_data_for_key_returns_empty_gen_data_config(tmp_path):
     with open_storage(tmp_path / "storage", mode="w") as storage:
         gen_data_config = GenDataConfig(keys=["response"])