Fuck man, I do miss the scrungy cats from the last place

My routines are a bit more casual and inconsistent than what others have posted. Lately I have been doing intervals on a stationary bike for 30 minutes three times per week. If the weather is nice, I’ll go for a walk 30-90 minutes depending on location and weather on days that I don’t do the stationary bike.

I eat fairly healthy and almost always at home. I make an effort to get two servings of raw fruit and veg each day, in addition to anything that I put into my meal prep for that week. I don’t eat much meat though, so I struggle a bit with protein intake.

In the past I’ve used MyFitnessPal to track my meals and check protein and calorie intake in particular. It’s a decent app and gave me what I needed.

Women are so cute I don’t think I can do it anymore

Get the fuck outta my cab!

!themusicman out here doing the Lord’s work. I would love an invite as well!

Perhaps a hot take, but East of Eden was an absolute trudge to get through. I think I made it almost halfway and gave up because I was not enjoying it at all. I wasn’t sure what the main points were and there were too many details unrelated to the plot.

A less hot take, The Fountainhead was also a pain to read. It was just boring as hell and I stopped about halfway as well. I only read it because I loved Anthem and became disappointed to find out it’s only related philosophically.

Weather prediction at point locations is extremely challenging to get right because we simply can’t observe and make predictions for every single square inch of the earth. Many weather models are run on grids with boxes about the size of a few kilometers at the smallest scale, which means that any physical process in the atmosphere that is the size of that box or smaller won’t be represented well by the model.

Specifically on your point about clouds passing over your location, cloud and precipitation formation is even more challenging. Clouds and precipitation form due to atmospheric processes ranging from hundreds of kilometers all the way down to micrometers, which practically means the weather models are making an educated guess (albeit a very good one that is informed by scientific research) about when and where clouds will form. And when a model does predict a cloud, it will cover an entire grid box.

Finally, I saw you made a comment about how machine learning should improve forecasts, and in fact it does! But the weather community is still working on data driven models (as opposed to models that solve physical atmospheric equations), and most of them are run by private companies so their output is not free. As these data driven models get better, it may be possible that they will be able to make predictions at scales less than a kilometer.