### Apache Airflow version

2.5.0

### What happened

Very simple dag:

```python3
from airflow import DAG
from airflow.operators.bash import BashOperator
from datetime import datetime, timedelta

with DAG(dag_id="hello_world", schedule=timedelta(days=30 * 365), start_date=datetime(1970, 1, 1)) as dag:
    (
        BashOperator(task_id="hello", bash_command="echo hello")
        >> BashOperator(task_id="world", bash_command="echo world")
    )
```

Run it like `airflow dags test hello_world $(date +%Y-%m-%d)`

End of output:
```
[2022-12-04 21:24:02,993] {dagrun.py:606} INFO - Marking run <DagRun hello_world @ 2022-12-04T00:00:00+00:00: manual__2022-12-04T00:00:00+00:00, state:running, queued_at: None. externally triggered: False> successful
[2022-12-04 21:24:03,003] {dagrun.py:657} INFO - DagRun Finished: dag_id=hello_world, execution_date=2022-12-04T00:00:00+00:00, run_id=manual__2022-12-04T00:00:00+00:00, run_start_date=2022-12-04T00:00:00+00:00, run_end_date=2022-12-05 04:24:02.995279+00:00, run_duration=102242.995279, state=success, external_trigger=False, run_type=manual, data_interval_start=2022-12-04T00:00:00+00:00, data_interval_end=2052-11-26T00:00:00+00:00, dag_hash=None
[2022-12-04 21:24:03,004] {dagrun.py:878} WARNING - Failed to record first_task_scheduling_delay metric:
Traceback (most recent call last):
  File "/home/matt/2022/12/04/venv/lib/python3.9/site-packages/airflow/models/dagrun.py", line 866, in _emit_true_scheduling_delay_stats_for_finished_state
    first_start_date = ordered_tis_by_start_date[0].start_date
IndexError: list index out of range
```

### What you think should happen instead

No warning (or, an explanation of what I can do address whatever it's warning about).

### How to reproduce

_No response_

### Operating System

NixOS 22.11 (gnu/linux)

### Versions of Apache Airflow Providers

n/a

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

self,
        created_counts: dict[str, int],
        ti_mutation_hook: Callable,
        hook_is_noop: Literal[True, False],
    ) -> Callable[[Operator, Iterable[int]], Iterator[dict[str, Any]] | Iterator[TI]]:
        """
        Get the task creator function.
        This function also updates the created_counts dictionary with the number of tasks created.
        :param created_counts: Dictionary of task_type -> count of created TIs
        :param ti_mutation_hook: task_instance_mutation_hook function
        :param hook_is_noop: Whether the task_instance_mutation_hook is a noop
        """
        if hook_is_noop:
            def create_ti_mapping(task: Operator, indexes: Iterable[int]) -> Iterator[dict[str, Any]]:
                created_counts[task.task_type] += 1
                for map_index in indexes:
                    yield TI.insert_mapping(self.run_id, task, map_index=map_index)
            creator = create_ti_mapping
        else:
            def create_ti(task: Operator, indexes: Iterable[int]) -> Iterator[TI]:
                for map_index in indexes:
                    ti = TI(task, run_id=self.run_id, map_index=map_index)
                    ti_mutation_hook(ti)
                    created_counts[ti.operator] += 1
                    yield ti
            creator = create_ti
        return creator
    def _create_tasks(