diff --git a/tests/web/rpc/v1/test_endpoint_trace_item_table/test_endpoint_trace_item_table.py b/tests/web/rpc/v1/test_endpoint_trace_item_table/test_endpoint_trace_item_table.py
index a6744f65a0..64d8f79927 100644
--- a/tests/web/rpc/v1/test_endpoint_trace_item_table/test_endpoint_trace_item_table.py
+++ b/tests/web/rpc/v1/test_endpoint_trace_item_table/test_endpoint_trace_item_table.py
@@ -947,182 +947,24 @@ def test_same_column_name(self) -> None:
         assert result.column_values[3].attribute_name == "tags[foo]"
         assert result.column_values[3].results[0].val_str == "five"
 
-    def test_floats_calculations(self) -> None:
-        spans_storage = get_storage(StorageKey("eap_spans"))
-        start = BASE_TIME
-        messages = [
-            {
-                "is_segment": False,
-                "retention_days": 90,
-                "tags": {},
-                "sentry_tags": {"status": "success"},
-                "measurements": {"client_sample_rate": {"value": 0.1}},
-                "event_id": "df1626f2c20249368d32cbc7bedc58b6",
-                "organization_id": 1,
-                "project_id": 1,
-                "trace_id": "724cb5bc3e9843e39dba73c7ec2909ab",
-                "span_id": "3a3ff57148b14923",
-                "parent_span_id": "87f08db2b78848c7",
-                "segment_id": "b6684d253c934ea3",
-                "group_raw": "30cff40b57554d8a",
-                "profile_id": "1f2e11173706458f9010599631234fc4",
-                "start_timestamp_ms": int(start.timestamp()) * 1000
-                - int(random.gauss(1000, 200)),
-                "start_timestamp_precise": start.timestamp(),
-                "end_timestamp_precise": start.timestamp() + 1,
-                "received": 1721319572.877828,
-                "duration_ms": 152,
-                "exclusive_time_ms": 0.228,
-                "description": "foo",
-                "ingest_in_eap": True,
-            },
-            {
-                "is_segment": False,
-                "retention_days": 90,
-                "tags": {},
-                "sentry_tags": {"status": "success"},
-                "measurements": {"client_sample_rate": {"value": 0.85}},
-                "event_id": "9ca81e2a30f94b22b1a8fd318e69e49e",
-                "organization_id": 1,
-                "project_id": 1,
-                "trace_id": "b7c9905686464d8d89e7d2aa95b5291a",
-                "span_id": "49ea9f85b8d94f87",
-                "parent_span_id": "4dcdde0710254636",
-                "segment_id": "d433c990ed9343e3",
-                "group_raw": "90c542ffb67b4629",
-                "profile_id": "16e664cce531405bae63834adc6aee80",
-                "start_timestamp_ms": int(start.timestamp()) * 1000
-                - int(random.gauss(1000, 200)),
-                "start_timestamp_precise": start.timestamp(),
-                "end_timestamp_precise": start.timestamp() + 1,
-                "received": 1721319572.877828,
-                "duration_ms": 152,
-                "exclusive_time_ms": 0.228,
-                "description": "bar",
-                "ingest_in_eap": True,
-            },
-        ]
-        write_raw_unprocessed_events(spans_storage, messages)  # type: ignore
-
-        ts = Timestamp(seconds=int(BASE_TIME.timestamp()))
-        hour_ago = Timestamp(seconds=int((BASE_TIME - timedelta(hours=1)).timestamp()))
-        err_req = {
-            "meta": {
-                "organizationId": 1,
-                "referrer": "api.organization-events",
-                "projectIds": [1],
-                "startTimestamp": hour_ago.ToJsonString(),
-                "endTimestamp": ts.ToJsonString(),
-            },
-            "columns": [
-                {
-                    "aggregation": {
-                        "aggregate": "FUNCTION_AVERAGE",
-                        "key": {"type": "TYPE_FLOAT", "name": "sentry.sampling_factor"},
-                        "label": "avg_sample(sampling_rate)",
-                        "extrapolationMode": "EXTRAPOLATION_MODE_NONE",
-                    },
-                    "label": "avg_sample(sampling_rate)",
-                },
-                {
-                    "aggregation": {
-                        "aggregate": "FUNCTION_MIN",
-                        "key": {"type": "TYPE_FLOAT", "name": "sentry.sampling_factor"},
-                        "label": "min(sampling_rate)",
-                        "extrapolationMode": "EXTRAPOLATION_MODE_SAMPLE_WEIGHTED",
-                    },
-                    "label": "min(sampling_rate)",
-                },
+    def test_single_float_comparison(self) -> None:
+        protobuf_with_float = TraceItemColumnValues(
+            attribute_name="blah",
+            results=[
+                AttributeValue(val_float=0.123456),
             ],
-            "limit": 101,
-        }
-
-        err_msg = ParseDict(err_req, TraceItemTableRequest())
-        result = EndpointTraceItemTable().execute(err_msg)
+        )
 
         # this passes
-        assert result.column_values == [
-            TraceItemColumnValues(
-                attribute_name="avg_sample(sampling_rate)",
-                results=[
-                    AttributeValue(val_float=0.475),
-                ],
-            ),
-            TraceItemColumnValues(
-                attribute_name="min(sampling_rate)",
-                results=[
-                    AttributeValue(val_float=0.1),
-                ],
-            ),
-        ]
-
-        # these error
-        # assert result.column_values[0].attribute_name == "avg_sample(sampling_rate)"
-        # assert result.column_values[0].results[0].val_float == 0.475
-        #
-        # assert result.column_values[1].attribute_name == "min(sampling_rate)"
-        # assert result.column_values[1].results[0].val_float == 0.1
-
-    def test_single_float_retrieval(self) -> None:
-        spans_storage = get_storage(StorageKey("eap_spans"))
-        start = BASE_TIME
-        messages = [
-            {
-                "is_segment": False,
-                "retention_days": 90,
-                "tags": {},
-                "sentry_tags": {"status": "success"},
-                "measurements": {"client_sample_rate": {"value": 0.123456}},
-                "event_id": "df1626f2c20249368d32cbc7bedc58b6",
-                "organization_id": 1,
-                "project_id": 1,
-                "trace_id": "724cb5bc3e9843e39dba73c7ec2909ab",
-                "span_id": "3a3ff57148b14923",
-                "parent_span_id": "87f08db2b78848c7",
-                "segment_id": "b6684d253c934ea3",
-                "group_raw": "30cff40b57554d8a",
-                "profile_id": "1f2e11173706458f9010599631234fc4",
-                "start_timestamp_ms": int(start.timestamp()) * 1000
-                - int(random.gauss(1000, 200)),
-                "start_timestamp_precise": start.timestamp(),
-                "end_timestamp_precise": start.timestamp() + 1,
-                "received": 1721319572.877828,
-                "duration_ms": 152,
-                "exclusive_time_ms": 0.228,
-                "description": "foo",
-                "ingest_in_eap": True,
-            },
-        ]
-        write_raw_unprocessed_events(spans_storage, messages)  # type: ignore
-
-        ts = Timestamp(seconds=int(BASE_TIME.timestamp()))
-        hour_ago = Timestamp(seconds=int((BASE_TIME - timedelta(hours=1)).timestamp()))
-        err_req = {
-            "meta": {
-                "organizationId": 1,
-                "referrer": "api.organization-events",
-                "projectIds": [1],
-                "startTimestamp": hour_ago.ToJsonString(),
-                "endTimestamp": ts.ToJsonString(),
-            },
-            "columns": [
-                {
-                    "key": {"type": "TYPE_FLOAT", "name": "sentry.sampling_factor"},
-                },
+        assert protobuf_with_float == TraceItemColumnValues(
+            attribute_name="blah",
+            results=[
+                AttributeValue(val_float=0.123456),
             ],
-        }
-
-        err_msg = ParseDict(err_req, TraceItemTableRequest())
-        result = EndpointTraceItemTable().execute(err_msg)
+        )
 
-        assert result.column_values == [
-            TraceItemColumnValues(
-                attribute_name="sentry.sampling_factor",
-                results=[
-                    AttributeValue(val_float=0.123456),
-                ],
-            ),
-        ]
+        # this should NOT pass
+        assert protobuf_with_float.results[0].val_float != 0.123455
 
 
 class TestUtils: