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Cake day: June 25th, 2023

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  • I have a sense of what you’re saying. So other comments have already pointed out the escape velocity, and those are true. But I think I can expand upon this a bit.

    So the weird thing about rocketry is that distances are insane. Like, whatever you think the distance is between 2 astronomical objects, the actual distance is probably at least 10 times that.

    This, coupled with the fact that there’s no friction in space, leads to a very unusual way of traveling. In space, if you want to go somewhere, you point your rocket in the direction that you want to go, fire the rocket up to get up to the correct speed, then just drift the rest of the way to your destination. The fact that you can just drift to different locations means that you don’t actually need to keep using up fuel for the entire trip. You only need to use fuel once, at the beginning to get to the right speed.

    In physics, this type of motion, where an object (a rocket in this case) drifts for most of the time, and suddenly changes direction in a relatively short span of time, is called impulse. So when we talk about rockets and how much “force” we need to get to places, what we’re really asking is how much impulse we need to get to the correct speed that’ll take us to where we want to go. Impulse is measured in what’s called delta-v, which is essentially a measure of “how much can we speed up.”

    There’s actually delta-v maps for the solar system. So if you want to go to this location, you need to spend this amount of delta-v to get up to the correct speed that’ll take you there. It’s an approximate map - you’ll need to do per-mission simulations to get the exact delta-v values - but it’s a good enough estimate for general usage. To use it, you start at your current location, then trace a path to where you want to go. And you just add up all the numbers that you see along the way.

    The escape velocity number is the delta-v required to leave Earth’s orbit (earth -> low earth orbit -> earth intercept)

    If you want to go to the moon, you do the same thing. Earth -> low earth orbit -> moon intercept -> low moon orbit -> moon


  • The implication is that there is a couple. The boyfriend wants the girlfriend to make out (and likely have intercourse) with another man. The girlfriend is hesitant, implying that this is entirely the boyfriend’s idea.

    Interpretation: the boyfriend has a cuckhold fetish.

    Application: any developer who uses Claude is cuckholding his own code




  • The word “nice” used to mean “stupid.” It derives from the Latin “nescio” (translated: “I don’t know”) and carried over into old French. At some point, it came to be associated with generosity, the assumption being that someone stupid is too innocent or naive to be selfish.

    It then got carried over into middle English, and the connotation for stupidity got dropped, making it so that the word meant “kind,” as opposed to “stupidly kind”



  • I don’t disagree with you, but it seems you’ve missed the point that I was trying to make. Yes, sure, the future has been predetermined in a deterministic universe. But if no person in that universe can ever figure out what that future is going to be, is there any practical distinction? To any entity within the universe, the future is completely unknown - the only thing that can be said for sure is that there is going to be a future. That is what I mean when I say that there can exist a practical free will in a deterministic universe

    In my eyes, any person who would feel dread over whether or not free will exists in a deterministic universe is splitting hairs over a thought experiment where all outcomes are practically equivalent








  • It seems that the lag period (pre-Steam Deck) is causing the exponential fit to not be that good. Can you try fitting only to data from the past 4 years to see if the fit is better?

    Edit: Was easy enough for me to do, and I had the software to do it, so I did it.

    Details:

    Fitted entire dataset with a non-linear regression (minimizing sum of squares), with the given model:

    Y = baseline + Y0 * exp(k*t)

    Fitted equation was determined to be Y=0.7717 + 0.04451 * exp(0.04677 * t)

    With this fit, doubling time is 14.82 months.

    R^2 is 0.8851

    95% CI:

    baseline = 0.6029-0.9093

    Y0 = 0.01744-0.1023

    k = 0.03749-0.05734

    Doubling time = 12.09-18.49

    Edit 2: if we do a bit of the statistical funny, we can plug the equation into Desmos and try to extrapolate:

    With this data, we can estimate that Linux usage will hit a solid 5% on Steam after ~97 months (most recent datapoint is month 91 in my dataset), which should correspond to ~November 2026. If we extrapolate farther into the future, we can estimate that Linux will hit 10% at ~114 months, which corresponds to ~March 2028


  • Can’t convert INR to USD in my head, but I’m comparing costs between parts - PSU looks unusually cheap. I would typically clock a good one to be about the same price as a motherboard.

    I would double check the PSU - it’s one of those things where you really shouldn’t skimp out on.

    Edit: as another commenter pointed out as well: PSU wattage seems low. You want a wattage rating that’s about double the expected max power consumption

    You can also typically save some money by getting a non-X CPU instead of X. eg, 7600 instead of 7600X. They’re usually virtually indistinguishable in performance, but the non-X is typically much cheaper and has lower power draw (and better thermal headroom as a result).

    The 7000 series is also last gen, so you might be able to get a used CPU and save extra money there. CPU’s virtually don’t degrade (unless you actually just abuse them), so there shouldn’t be any technical concerns about getting a used CPU. Of course, watch for scams when buying used parts.



  • My biggest concern is not that fertility rate is low/population decline is happening, it’s that it’s happening way too quickly for society to be able to handle it.

    We’re talking like 4 old people per child (estimated number). Not only would it be a massive strain on the economy to have so many elderly people/retirees to take care of, older people will also have a highly disproportionate account of political power due to their relative abundance. If it’s already such a big deal that boomers were twisting the political landscape for their gain, I shudder to think what would happen at this larger and longer scale.

    All of this is going to be a breeding ground for misogyny and right-wing ideology when people start thinking that it’s [opposite gender]'s fault that they’re not living as well as they were promised by the previous generation. We’ve already seen it in South Korea, and we’re seeing it now with the rise of isolation and inceldom.

    Plus, without younger people to take up the mantle, many industries that we rely on will need to downsize, and a lot of institutional knowledge will be lost. Many roles that require a “master-to-apprentice” style of learning will be lost and will be unable to recover, even if the population started growing again.

    Fox News has the wrong take here, as it is wont to have. But we genuinely should be really concerned that birth rates across all developed countries are this low below replacement rate and are still dropping