• 2 Posts
  • 70 Comments
Joined 1 year ago
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Cake day: June 12th, 2023

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  • 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.








  • 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.



  • Atari 7800. I bought it from someone on craigslist about 3 years ago. The video was pretty fuzzy and audio wasn’t consistent, so I talked them down to a good price. I ended up modding it for composite video and audio, but I rarely play it. I didn’t grow up with an Atari, so I don’t have the nostalgia for the games, but I still think it’s pretty neat.











  • I clean the kitchen pretty thoroughly once per week after meal prepping. By thoroughly I mean do the dishes, wipe down the stovetop and counters, clean the sink with dish soap and a sponge, then sweep and mop. During the week I try to clean up small spills and such as I go and load the dishwasher after meals.

    For the bathroom, I usually do once per month. Clean the counter, mirror, toilet top to bottom, and shower top to bottom. Sweep and mop.

    Living spaces and bedroom I sweep/mop/vacuum once per month and clean tables as needed.

    I hardly dust or clean windows. I maybe do that a couple times per year or if it’s particularly filthy.

    The general idea for me is to clean regularly and as needed so that nothing is really nasty at any given time. Anything else gets done roughly once per year or on move out.