## Bug description

Monthly Active Users metric seems wrong when choosing "# Number" as chart type.

Number: 
![image](https://user-images.githubusercontent.com/513669/201980874-be7d9c0d-5c9c-4c1e-955c-ea4143c84061.png)

Line chart: 
![image](https://user-images.githubusercontent.com/513669/201980986-b17af929-84e5-4f6a-b7f8-23b7ac8bedbc.png)

**490 != 70**

## How to reproduce

1. Create a new insight using any event and the "Monthly active users" metric
2. Date range = This month + Grouped by = Day
3. Choose chart type as Number => remember value
4. Change chart type as Linear => check last data point

=> the 2 values do not match
=> in other words there's a diff between a total aggregation and an aggregation per bucket of time ?

## Environment

- [x] PostHog Cloud
posthog/queries/test/test_trends.py
cohort1 = _create_cohort(
            team=self.team,
            name="cohort_1",
            groups=[{"properties": [{"key": "key", "value": "value", "type": "person"}]}],
        )
        cohort2 = _create_cohort(
            team=self.team,
            name="cohort_2",
            groups=[{"properties": [{"key": "key_2", "value": "value_2", "type": "person"}]}],
        )
        cohort1.calculate_people_ch(pending_version=0)
        cohort2.calculate_people_ch(pending_version=0)
        with self.settings(USE_PRECALCULATED_CH_COHORT_PEOPLE=True):  # 
            with freeze_time("2020-01-04T13:01:01Z"):
                res = Trends().run(
                    Filter(
                        data={
                            "date_from": "-7d",
                            "events": [{"id": "$pageview"}],
                            "properties": [],
                            "breakdown": [cohort1.pk, cohort2.pk],
                            "breakdown_type": "cohort",
                        }
                    ),
                    self.team,
                )
        self.assertEqual(res[0]["count"], 2)
        self.assertEqual(res[1]["count"], 1)
    @test_with_materialized_columns(person_properties=["key", "key_2"], verify_no_jsonextract=False)
    def test_breakdown_single_cohort(self):