## Bug description

Right now we say 'There are no matching events for this query' which is super misleading as in reality the query has errored

## Expected behavior

We used to have a big red error message that showed up, which would at least be more informative and could help users optimise their queries (smaller timeframes etc)

## How to reproduce

1.
2.
3.

## Environment

- [ ] PostHog Cloud
- [ ] self-hosted PostHog (ClickHouse-based), version/commit: _please provide_
- [ ] self-hosted PostHog (Postgres-based, legacy), version/commit: _please provide_

## Additional context



#### *Thank you* for your bug report – we love squashing them!

ee/clickhouse/queries/test/test_trends.py
"breakdown": "order",
                        "actions": [{"id": action.pk, "type": "actions", "order": 0}],
                        "properties": [{"key": "name", "value": "person2", "type": "person"}],
                    }
                ),
                self.team,
            )
            event_response = ClickhouseTrends().run(
                Filter(
                    data={
                        "date_from": "-14d",
                        "breakdown": "order",
                        "events": [
                            {
                                "id": "watched movie",
                                "name": "watched movie",
                                "type": "events",
                                "order": 0,
                                "properties": [{"key": "name", "value": "person2", "type": "person"}],
                            }
                        ],
                    }
                ),
                self.team,
            )
        self.assertDictContainsSubset({"count": 2, "breakdown_value": "2",}, event_response[0])
        self.assertDictContainsSubset({"count": 1, "breakdown_value": "1",}, event_response[1])
        self.assertEntityResponseEqual(event_response, action_response)
    @test_with_materialized_columns(["$some_property"])
    def test_breakdown_filtering(self):