Modern models will take into account statistical biases in lotteries. For example, here's ChatGPT:

Pick good lottery numbers for the Virginia powerball lottery

Good question. First, a reality check: Powerball is pure chance — there’s no “good” numbers that are more likely to win. Every set of 5 white balls (1–69) + 1 Powerball (1–26) has exactly the same probability.
wwwuat.valottery.com
+1

That said, I can give you a few tips + a sample “random but balanced” pick, if you’d like to pick your own numbers rather than use Quick Pick.

Some tips when choosing your Powerball numbers

Spread your numbers
Try to pick a mix across the range (low, mid, high). According to lottery-strategy advice, not clustering all your numbers in one group is better.
samlotto.com

Avoid patterns
Many people pick birthdays, anniversaries, or sequential numbers. That’s fine—but if you win, you might have to share with more people because these are popular picks.
lotteryvalley.com

Use “due” or “hot” numbers carefully
Some sites (like lottery-analysis tools) track which numbers are “hot” (drawn recently) or “overdue” (haven’t appeared in a while). But remember: past draws don’t change future odds.
m.lottostrategies.com

Mix even and odd
According to some statistical analyses, it’s less likely to draw all odd or all even numbers.
samlotto.com

Play responsibly
Odds of winning the Powerball jackpot are extremely long: 1 in ~292 million.
lotterycritic.com

Sample “balanced” Powerball pick

Here’s a random-but-balanced combination you could use just for fun (or as a basis to tweak):

White balls: 8, 23, 41, 57, 65

Powerball: 12

If you like, I can generate 5 different “smart random” picks for the next Virginia Powerball draw (balanced by probability and number distribution). Do you want me to do that?

It's a damned shame '99942 Apothis' will miss us in a few years

It's not too late to fix that.

The thing is, it very much *won't* be random numbers. It's about as far from a random number generator as you can get.

In a really bad model, one would expect it to likely be "numbers it's seen the most in the context of a lottery". But in a good model, esp. a thinking model, one would expect it to think over which sorts of numbers are statistically over-chosen (birthdates, etc) and avoid them in giving its answers.

The funny thing is, think of how this woman will interact with ChatGPT from now on. ChatGPT could say "Abraham Lincoln was married to John Wilkes Booth", and she'd be thinking, "Okay, that sounds really, really wrong, but on the other hand, it picked the right lottery numbers, so..."

I'll go with NHTSA and NASA over the "Barr Group" ambulance chasers, thank you. Barr found that it's possible if you get like a cosmic ray to flip just the right bit you could stick the throttle on (but still not make it overpower the brakes). NHTSA and NASA investigated not just the software but the actual cases. In not a single actual case that they investigated did they find that it wasn't well explained by either stuck pedals or pedal misapplication (mainly the latter).

Oh hi, I remember chatting with you earlier :) Sorry to hear about your back. If you're ever planning on visiting Iceland, drop me a line, I can make recommendations. :)

There's some fascinating new work on "inverse-vaccines". In the same way that antigens can be flagged as "foreign", they can also be flagged as "non-foreign" by attaching N-acetylgalactosamine (pGal) to them. The liver recognizes that tag and uses it to suppress immune activation against that antigen.

That's not the goal of a vaccine against a dormant virus (destroying B-cells), it's about developing a more capable immune reaction against the virus itself. See for example the shingles vaccine (targets dormant VZV, aka shingles / chickenpox). With a strong immune recognition of the virus, as soon as it tries to reactivate, it's immediately targeted, preventing it from becoming problematic.

Dormant viruses use a combination of (A) techniques to suppress immune recognition of them, and (B) low / no reproduction until your body's immune recognition of them has weakened. Vaccines help deal with both issues.

(BTW, if you're getting up there in age and haven't gotten your shingles vaccine, do so. It's one of the "rougher" vaccines, IMHO (both on my initial and followup doses I had "flu symptoms" for a day, when I normally have no reaction at all to vaccines), but that's *way* better than getting shingles)

The funny thing is that as soon as I saw "[condition] may be linked to a common virus" I thought, "It's Epstein-Barr, isn't it?"

Seems it causes bloody everything under the sun :P

As soon as there's even a clinical trial I can sign up for to get vaccinated against it, I'm getting it. I had mono in my late teens, so I can be expected to have dormant Epstein-Barr in me. A horrible autoimmune condition that my mother has (which leads to among other things her skin regularly feeling like it's on fire) seems to be linked to Epstein-Barr reactivation.

Too much money for not enough content.

When I had my morning toast and coffee earlier today I chose between three YouTube videos. An analysis of a high-performance motorcycle engine, a review of an off-road vehicle and troubleshooting a hybrid car. All cable ever has these days is reality shows.

...laura

Also, the only realistic way to create a true "unintended acceleration" without pedal misapplication is something getting stuck in the pedal or the pedal getting stuck down, which is not actually a subtle thing (again, these things have happened, but they're dwarfed by how often people hit the wrong pedal). Just sensor readings alone don't cut it. As a general rule, pedals have multiple sensors reading the pedal position (typically 2-3). They have to agree with each other, or the target acceleration is set to zero. A sensor failure doesn't cut it. Also, Hall-effect sensors are highly reliable.

Oh, and there's one more "failure mechanism" which should be mentioned, which is: creep. Some EVs are set to creep or have creep modes, to mimic how an ICE vehicle creeps forward when one lifts their foot off the brakes. If someone forgets they have this on, it can lead to "unintended acceleration" reports. There have been cases where for example the driver gets in an accident, but not intense enough to trigger the accident sensors, and the car keeps "trying to drive" after the accident (aka, creep is engaged). People really should not engage creep mode, IMHO - the fact that ICEs creep forward is a bug, not a feature.

All the person in these "runaways" had to do was lift their foot off the accelerator. Or even leave their foot on the accelerator and just press the brakes, as the brakes can overpower the motor (think of how fast you accelerate when you slam on the pedal at highway speeds vs. how fast you slow down when you slam on the brakes).

Regulatory agencies the world over are constantly getting reports of "runaway unintended acceleration". Nearly every time they investigate, the person mixed up the pedal and the brake. When the car starts accelerating, in their panic they push said "brake" (actually the pedal) harder, and keep pushing it to the floor trying to stop the car. In their panic, people almost never reevaluate whether they're actually pushing the right pedal. It's particularly common among the elderly and the inebriated, and represents 16 thousand crashes per year in the US alone.

If your car starts accelerating when you're "braking", get out of your panic, lift your foot up, then make sure you *actually* put it on the brake, and you'll be fine.

This is the first time I've ever heard Eiríkr "The Red" (TH)orvaldsson referred to as "a shipping marketer" ;)

1) 1850-1900 is not "The Little Ice Age"
2) The Little Ice Age was not global, while you're talking about global climate reconstructions. The planet as a whole was not cold in the Little Ice Age.
3) You're talking about the basis of a particular climate target, not what the science is built on.
4) The mid 1800s is around when we started getting reasonably good regular quasi-global ground climate measurements, hence it's nice for establishing a target. That's why HADCRUT, which is based on historic measurements, starts in 1850. The first version of HADCRUT started in 1881 when the data was even better, but as more old data was recovered and digitized, it was extended to 1850. You can go further back, but you not only lose reading quality, but also are more confised to mainly regional records (Europe).
5) 1850-1900 was not a global cold period.

There's not some sort of conspiracy theory. The target is based on relative to when we have actual comparative data, and variations in modern preindustrial levels are a few tenths of a degree, not "several degrees" as per climate targets.

When they say "pre-industrial levels", when do you think they mean? The 19th century (even though the industrial revolution was well underway), usually 1890 specifically.

What year is used depends entirely on the study. Some start at the advent of satellite measurements, some at the advent of modern ground-based measurements, some with the era of semi-reliable ground-based measurements, some incorporate further back with more fragmentary measurements, and others use proxies - some recent proxies from 200, 300, 400 etc years ago, others thousands, tens of thousands, hundreds, millions of years ago or more. There is no single timeframe that is examined. Numerous studies evaluate each different source, and the different proxies are commonly plotted out relative to each other.

The quantities of water and salt involved are not on human scales.