this post was submitted on 21 Nov 2023
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[–] [email protected] 0 points 2 years ago* (last edited 2 years ago) (1 children)

I don't disagree with a lot you're saying but there's a reason economists use x to x comparisons and that's because your best comparison for October 2023 is October 2022 not September 2023.

What you're describing is where, and it sucks saying this because it's cold AF, numbers don't care about feelings.

The layman like you and I want to put our lives into context on the numbers we see because we are in the weeds. That's fine and good and we are 100% valid in feeling the way we do but it doesn't change the reality that the best comparison for October 2023 is October 2022.

Now again I'm a dumbass. There are plenty better than me at explaining this but as someone currently doing heavy data analysis on a P1 we had at work you do not compare the day of the failure with the previous day because they're two different days of the week. Processes differ per day. If the issue happened on Thursday I want to compare it against previous Thursdays.