## Bug description

See [this graph (internal link)](https://app.posthog.com/insights?insight=TRENDS&actions=%5B%7B%22id%22%3A4912%2C%22math%22%3A%22dau%22%2C%22name%22%3A%22Discovered%20Learning%22%2C%22type%22%3A%22actions%22%2C%22order%22%3A0%2C%22properties%22%3A%5B%7B%22key%22%3A%22realm%22%2C%22type%22%3A%22person%22%2C%22value%22%3A%5B%22cloud%22%5D%2C%22operator%22%3A%22exact%22%7D%5D%2C%22math_property%22%3Anull%7D%2C%7B%22id%22%3A7307%2C%22math%22%3A%22total%22%2C%22name%22%3A%22Insights%20Error%20or%20Timeout%20-%20Cloud%22%2C%22type%22%3A%22actions%22%2C%22order%22%3A1%2C%22properties%22%3A%5B%5D%2C%22math_property%22%3Anull%7D%5D&display=ActionsLineGraph&formula=B%2FA&interval=week&date_from=-90d&filter_test_accounts=true&properties=%5B%5D&breakdown=realm&breakdown_type=person#fromItem=190864&fromItemName=%23%20Errors%20Seen%20%2F%20Activated%20User%20-%20Cloud&fromDashboard=3346)

Using formulas + break down doesn't work.

## Expected behavior

Should work.

## How to reproduce

1.
2.
3.

## Environment

- [ ] PostHog Cloud
- [ ] self-hosted PostHog, version/commit: _please provide_

## Additional context



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

ee/clickhouse/queries/trends/breakdown.py
breakdown_filter=breakdown_filter,
                    event_join=join_condition,
                    aggregate_operation=aggregate_operation,
                    interval_annotation=interval_annotation,
                    breakdown_value=breakdown_value,
                    conditions=conditions,
                    GET_TEAM_PERSON_DISTINCT_IDS=GET_TEAM_PERSON_DISTINCT_IDS,
                    **active_user_params,
                    **breakdown_filter_params
                )
            else:
                inner_sql = BREAKDOWN_INNER_SQL.format(
                    breakdown_filter=breakdown_filter,
                    event_join=join_condition,
                    aggregate_operation=aggregate_operation,
                    interval_annotation=interval_annotation,
                    breakdown_value=breakdown_value,
                )
            breakdown_query = BREAKDOWN_QUERY_SQL.format(
                interval=interval_annotation, num_intervals=num_intervals, inner_sql=inner_sql,
            )
            params.update(
                {
                    "date_to": filter.date_to.strftime("%Y-%m-%d %H:%M:%S"),
                    "seconds_in_interval": seconds_in_interval,
                    "num_intervals": num_intervals,
                }
            )
            return breakdown_query, params, self._parse_trend_result(filter, entity)
    def _breakdown_cohort_params(self, team_id: int, filter: Filter, entity: Entity):