How does anyone take quantified metrics seriously if trying to compare pre-covid market bubble data to in-covid recession/market bubble. The environments are completely different.

One can do differential comparison for day of week.

AggregateOverEmployeesByAgeGroup(AggregateDatesBeforeCovid(Prod(employee_i | day of week)/AggregateDatesAfterCovid(Prod(employee_i | day of week before covid)))

Then see if it is flat or if there is changes (such as it dips on monday/friday)

Thats .. an adjustment. It really doesn't tell you if the work inputs allocated to young vs old groups shifted before and after covid. Also, I question the validity of the Prod( ) function as, like much other information work, the productivity yields on different timeframes and can be very difficult to correlate inputs vs outputs.

There were 3 things mentioned in the article. Younger vs older, Monday and Friday vs rest of week for younger, and creativity. You could theoretically measure younger vs older in the same job and also compare those two groups by M/F vs rest of work week. Compare those groups before and after COVID-19.

Yea, but the Prod function still entirely determines if it’s comparable.