Since you are what you measure and optimize towards and some metrics can be harmful, it makes sense to cut metrics that are irrelevant so they don’t influence your decision making.
If you’re unsure if they’re meaningful, one might still want to capture them but not surface them during the optimization or decision making step, since historical data is important for metrics.
This is like how cutting features can improve a product, and not where we are cutting scope under pressure.
If you cut a metric, one could say it was not a core metric.