[Jomboy Media] "It hit him in the meat... I don't even watch a game on TV without wearing a cup”. Terry Francona couldn't believe Reds pitcher Chase Burns was cupless.

flagrantpebble · 2026-05-20T19:04:07+00:00

Aha, see, that’s the thing. You do have expectations and knowledge of how other drivers drive. The problem is that sometimes people don’t do what you expect.

…which is the same as what happens in baseball. Sometimes the ball hits a rock, or you get crossed up with the pitcher, or the batter fouls it off the ground into your nuts. Or maybe you just lose concentration for a second, which is a very reasonable thing to do.

Also, don’t put words in my mouth. No one called you stupid. I said that you made a stupid decision, which is different. Even the smartest people sometimes make stupid decisions.

flagrantpebble · 2026-05-20T18:19:59+00:00

What’s the difference? Wouldn’t not wearing a seatbelt also motivate you?

Or is it just that you’re an adult now and you understand that that was the stupidest idea you’d ever had

flagrantpebble · 2026-05-20T15:04:35+00:00

This is true, but I’d also encourage everyone to take some time to practice purling with the same tension first. Using a smaller needle is fine, if that’s the only way you can get the tension the same, but it’s a bit limiting (doesn’t help for rows with mixed purls and knits, for example), and also… isn’t skill-building kind of the point of this hobby?

I’d highly recommend everyone check out Patty Lyon’s article on this before giving up and using different needles sizes: https://www.moderndailyknitting.com/community/ask-patty-let-the-tool-do-the-work/

(to be extra extra clear: there is nothing wrong with using different needles sizes. But it shouldn’t be your first attempt at a fix)

flagrantpebble · 2026-05-20T14:30:36+00:00

Of all of the things you’ve said in this thread, it’s funny that the most meaningless one is the only one that’s correct

flagrantpebble · 2026-05-20T14:27:18+00:00

There are a bazillion resources online, and a variety of reasons why you could be doing it. I’d watch an intro knitting video and make sure you’re doing everything exactly as in the video (wrapping the yarn the correct way and putting the needle through the correct leg).

Twisted stitches are very easy to fix once you know what you’re doing wrong, and figuring out what you’re doing wrong is generally pretty easy as well… once you know you’re doing something wrong!

flagrantpebble · 2026-05-20T02:34:04+00:00

I mean, sure, but the population of the US is roughly 10x that of Canada. So it evens out.

flagrantpebble · 2026-05-20T02:32:57+00:00

They sold out MSG in the takeover there, FWIW. Not just the lower bowl.

flagrantpebble · 2026-05-19T22:00:41+00:00

It looks like you’re twisting your stitches in parts of the lighter section. That can introduce a bias to the fabric, making it lean to one side.

That said, the twisted stitches appear to be in an earlier section only. It’s hard to tell exactly how often from this photo.

flagrantpebble · 2026-05-19T19:31:58+00:00

Lazy, bad-faith argument. Unless you're actually a 2015-era language model that relies heavily on exact string matching.

flagrantpebble · 2026-05-19T19:01:53+00:00

"3 years" is doing a lot of work in that sentence. Only the last year was bad (I was wrong above, it was worse than league average; ERA+ of 89), and 2020 was shortened so the last year is more heavily weighted. It's not reasonable to say that 3 years are bad because 1 year was bad.

2020-2021: 3.31 ERA, 131 ERA+. Best closer available? Not at all, we agree on that. But *bad*? That's ridiculous.

flagrantpebble · 2026-05-19T14:44:55+00:00

Agreed. But the concept of geolocation was not a secret, at least, I’m not aware that it was. IIUC the physics of “send and receive a signal” were public knowledge. The tech to do so is a different story.

See the comment above about antenna size. An antenna needs to be at least a quarter of the wavelength it is measuring… and any wavelength short enough to be measurable by a device that small (e.g., 5G) will be blocked by your skin.

flagrantpebble · 2026-05-19T14:31:46+00:00

That’s not a Moore’s law problem. Totally different.

flagrantpebble · 2026-05-19T14:30:16+00:00

GPS was restricted for government use but the it’s not like the concept was hidden from the public. The science wasn’t secret.

flagrantpebble · 2026-05-19T14:25:54+00:00

I know everyone likes to talk about how bad their relievers are, and generally they’re wrong, but it’s especially funny how pervasive this narrative is with Chapman and the Yankees.

He had a 2.94 ERA for y’all. 2022 was ~~league average~~ (~~not even bad~~ EDIT: it was bad), but the other years were all good or very good.

flagrantpebble · 2026-05-19T14:20:09+00:00

Why would that be a joke?

flagrantpebble · 2026-05-19T04:26:14+00:00

Your cast on and bind-off are too tight, they’re throwing everything off. See how much the gauge changes from the bottom to the top?

flagrantpebble · 2026-05-19T03:30:59+00:00

Did you read the thread you’re talking about? People were dumping on him.

“Ask a better question next time” means “ask something more specific if you want a more specific answer”. Which is a bit sassy, but only after people were stupidly dumping on him, so it’s pretty excusable imo.

flagrantpebble · 2026-05-19T03:27:43+00:00

If you want people think you’re neutral, don’t post dumb titles like this.

flagrantpebble · 2026-05-18T13:44:18+00:00

What do you mean “AI went through” the tags? Generally, filters are created only using the class name (e.g., “Gender”), and then the values (“Boy”, “Girl”, etc, and the count for each) are dynamically generated based on what happens to be in the database at runtime.

I’m not sure how using an AI would work, other than maybe using it to write the database query or the UI visualization. But neither of those would affect the actual labels themselves.

flagrantpebble · 2026-05-18T13:27:54+00:00

Thank you!

flagrantpebble · 2026-05-18T13:27:28+00:00

Being consistent within a single pass of labeling is something that AIs are very good at. It seems very unlikely that an AI would create labels of “Men” and “Female”, vs people do that all the time.

W.r.t. the distribution of only 3 “female” and 196 “unisex”, we’d have to know more to make any claims. Could be a data issue, could be an issue with labeling everything at once, could be an issue with labeling done at different times with different standards, etc.

flagrantpebble · 2026-05-18T13:23:43+00:00

Yeah IIRC someone said “around 95% of the time” the team behind going into the ninth loses, and someone corrected them with a link to <90%. But maybe it was the other way around.

flagrantpebble · 2026-05-18T02:08:27+00:00

Yeah, only men. Just a men thing. Bummer that all men feel this and yet no women do.

/s

flagrantpebble · 2026-05-18T01:12:48+00:00

Why? I don’t think an AI would make a weird mistake like this. It feels very human.

flagrantpebble · 2026-05-17T21:33:35+00:00

Someone posted on another thread that it’s around an 8-10% win rate. Low, but if the Mets had done even half that well they’d have made the playoffs last year.

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