I reduced my coffee intake gradually back in ‘21-‘22down to just green tea in the morning. I did not notice any real changes in my life aside from two points. I took longer to ramp up productivity and alertness in the mornings. I also now eased into my “go to bed” routine at night whereas on coffee it was a much more dramatic crash. We ended up having our first kid mid-‘22, and I got back on the java wagon. Of all potential vices, this one certainly feel lightweight. I just don’t drink it after Noon.

I actually intentionally stopped drinking caffeine when we had kids. Long nights of little to no sleep made me absolutely not want to mess with my sleep cycle any more. I started drinking tea once the kids got older and sleep was once again regular.

For me caffeine is something to enhance my well rested self. Not something to make my body ignore important signals regarding rest.

As a data analyst who is pushing towards data science, do you have any resources or advice on how to steer away from these "Lovecraftian concoctions" you're speaking of?

I also had issues with this graph. Reading the top, it's the percent approval of that language minus the percent disapproval of that language within that age group. Then, it's split on age group with the tabs up top.