Somewhat relevant finance paper:
https://quantpedia.com/estimating-rebalancing-premium-in-cryptocurrencies/

USD has been relatively strong this year vs eurozone and asian currencies.

Causality is different for the different currencies there, some had a huge drop at the end of 2021 and then recovered at the very start of 2022, others had an steady grow over years, and there are more patterns depending on the currency. Is not so easy to reach accurate conclusion just based on that.

It crashed vs USD and the bottom of that crash was Jan 2022

How about the Bears? Middled around 0.5 offense but worse defense in the league. Finished with the #1 overall pick. All their wins came early when the defense was higher rated than the offense.

In my opinion football is all about matchups and coaching strategies. In the last two super bowls the more defensive team beat the more offensive one. But obviously things always change.

My biggest example I can think of is when that Super Bowl where the Giants d line basically beat the undefeated Patriots on their own.

Everyone has not had any kids at some point in their life. Just remember what it was like for you and you'll probably have a good idea.

In other words, as their offense improved, they won more games. I feel like OP already explained that.

Finally someone I can relate to. Two a day is absolute minimum for me and oh it is a rare day. I blame Lactose intolerance, coffee 3 times a day, stressful work. Cut bread also, but no difference huh. Have a great day my frequent poopers.

probably a just student

Have you ever eaten at chipotle?

is scaling from 0 to 1 based on worst and best a norm in the NFL stats field? I feel like doing a more typical scaling based on z-score (0 is league average, value is based on standard deviations from mean, no theoretical bounds) would be better, since one team doing especially well/badly can make the other teams seem significantly worse/better than they actually might be (you especially see this in the first weeks with the red dashed lines)

The rule for poops is generally 3 poops in 1 day to 1 poop in 3 days. If you are within that range, have no symptoms of either diarrhea or constipation, and everything feels normal for you, you probably have fine poop habits.

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Pulaski county, AR (Little Rock) has one

https://www.littlerockanimefest.com

You want a stable currency. Huge changes in value definitely aren't desirable although it's better for your currency to go way up than way down I guess.

Another downholic mapple what a crap.

Likely quite minimal. We want to see cooler summers and continued wet, snow-heavy winters and good monsoon seasons for years to come. This is a nice start though!!

Not as wack as my sleep schedule, if i had to guess im almost always awake around 8 pm - 2 am and im most often asleep around 10 am to 2 pm

That's what happens when you intentionally nuke your roster by trading your two stars mid-season after getting rid of your other pro bowler (mack) prior to the season and also get injuries in your secondary.

But we have the #1 overall, a clear franchise quarterback for the first time ever, and a shit ton of cap space... so that's something.

It’s kind if interesting how it take them an entire season basically to organize into offensive or defensive quadrants

Yeah I was surprised at how many cycles you had. I'm being tested for PCOS because of the opposite, I have only a few a year. It's interesting to see the difference! Nice chart.

KC had the best offense but their defense is average. The best overall teams would be the Bills, Eagles and 49ers (as of late).

yeah using a ruler I'm getting the mid point of the Taekwando bulges at 80, 70, 60 and the classes are 58, 68, 80 so the violin plot is almost certainly smoothing (which I'm fine with as otherwise the chart wouldn't be visually pleasing)

Interested to know what the tiny bulge in Taekwando is just above the 58kg peak

Great stuff, but I think this would be more revealing if you used the absolute EPA values.

They worked at Goldman Sachs.

At best they suffer from massive survivorship bias.