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Joined 2 years ago
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Cake day: August 4th, 2024

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  • To be fair That’s the headquarters. Actual manufacturing sites are completely unharmed by this. All they’ve done is damage some show models in the atrium of the headquarters and maybe spooked some suits.

    If you want to make a difference, honestly crippling cloud service facilities and directly targeting Microsoft server farms is a better bet. No idea which one, so targeting fanuc data directly isn’t easy, but even crippling teams and outlook stopped work for a day when a storm knocked out power to Microsoft site in Colorado that. Pretty sure it was a mass reported issue, so not just my corporation impacted.

    Or, if you wanna hit a manufacturing site, some maps snooping (our various other sites aren’t a secret. What they all do isn’t public knowledge but their existence isn’t) or poke about the offices at headquarters. Know how many processes maps and diagrams around our local plant have suppliers and sub assembly process sites for easy explanation to managers?


  • One is thousands of an inch, which is a typical unit of measure for milling operations. As the other person in this chain has said, ballistics is a weird game. End of the day, m(ass)*v(elocity)=f(orce), and the goal is getting f to a useful value. At that level, big and slow and small and fast have the same outcome. But, because ballistics is bastard, other factors start to interfere.

    For example, If you want to shoot farther, you can either go faster, or be lighter. Going faster requires more powder in the case, which creates a different profile for the round and changes the acceleration profile during firing (there are several rifle rounds over the years that have approximately the same load and bullet, but are ever so slightly different shaped, to change how the powder burns off and how it accelerates down the barrel)

    Being lighter reduces your final impact force, and can impact stability mid flight (leading to alterations to the length and profile of the round itself)

    Closer to the first point and tangentially related, the US has been a capitalist hellscape for a while, and has numerous instances of a company making a firearm using a new round because they did the math and said this is what we want and what you should want, followed by everyone else making more or less a clone of it if the gun in question sells well. Due to copyright it can’t be identical, but as math goes, there a lots of ways to reach the same outcome.





  • Does the thickness skin impact it’s ability to feel pain?

    It doesn’t. Burn a slip of paper with a lighter. Now burn an orange. Notice how the the outer layer reacts to the fire?

    Your nerve endings also exist in the outer most layer (your mouth vs your deeper flesh)

    Are you a mammal? Congratulations, you have TRPV1 receptors in your mucus membranes (avian supremacy ftw). They exist to keep potato brain mammals from eating hot things. These will fuck up your insides. Apparently enough of a problem that mammals needed them. Fun fact: this is enough of a problem that ancestral peppers evolved a means to exploit it and exclude mammals.

    But off topic. There’s no quantity of flesh that will make your mouth heat proof. Turns out first degree burns still hurt like fuck.


  • While I do appreciate the information on better infographic creation, the example map has such a small range comparably. There’s over 30 values, not to mention the shades in-between values. I think a two color gradient would end up being very smooth at this scale. Sorta looks to generally drop in temperature as you go east here, nice red to blue fade.

    Expanding the color palette does give more room for distinction, but that’s seemingly how they got where they did.

    To be fair, from my friends who’ve actually had color theory and graphic design classes, STEM folks tend to do a poor job of communicating well.

    So eh. Maybe it’s pointless for me to argue against it.


  • So MAYBE, and I’m pulling this out of my ass with no background here, but expectation is temperature doesn’t jump, but flows as a gradient. Using France as the start, we’ve white fading to dark greys then reds, which is the hottest of the three white possibilities. As going hotter then that gets pink again, the top end is white in France. We then decrease down the scale until we get those. green pockets. Light green/white touching green would signify the lower of the three white temps. Not a great map, but perhaps it’s an understood practice with the field. After all, how do you convert a quantitative scale into qualitative data. You can’t really just number everything (people have shit attention spans and they’ll gloss over immediately. Anybody who’s delivered technical data to management can attest to that lol) Color works well for that, but has a limited useful spectrum. Getting too specific in a single spectrum muddies the graphic (what’s the exact color over Lisbon here? This kinda salmony guy? So 8? Or closer to 9?)


  • It does and doesn’t. The outer layer of the durian, yeah that’s gone. Dense biomass presents a unique scenario though. Where steel is homogeneous, and conducts heat very well, cells are “hollow” and contain a lot of carbon. Water vaporizes. Proteins vaporize. Carbon burns off. Slightly deeper: water vaporizes. But there’s no oxygen here. The burning biomass outside is consuming it and dumping carbon dioxide as it goes. What happens when carbon heats without oxygen? It purifies. Down to pure carbon. 3,630C to melt it away. What’s more, it’s not solid carbon. All that water and protein is long gone, but now it’s empty space. Insulation. It’s impressive how much biomass blocks heat.

    Time matters. Long enough, the outer layers start to burn away. Oxygen moves deeper, carbon burns, not melts. That layer burns off. Oxygen moves deeper. You didn’t need 3000C. But you need time and air flow. If you’re trying to see who between a mass of steel or an equal biomass gives up first, the steel will fail every time.