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Apple introduces M6 and M5 Ultra

https://www.apple.com/newsroom/2026/08/apple-introduces-m6-and-m5-ultra-for-a-big-leap-in-perform...
1089•interpol_p•18h ago•1037 comments

FDA authorizes first wearable device that monitors ketone and blood sugar levels

https://www.fda.gov/news-events/press-announcements/fda-authorizes-first-wearable-device-continuo...
359•sunnynagra•12h ago•177 comments

Secret Cold War IBM Supercomputer Was Built for One Job

https://spectrum.ieee.org/cold-war-codebreaker-nsa-ibm
18•jnord•2h ago•3 comments

Stalking the Wily Hacker: 40 years later – Cliff Stoll [video]

https://www.youtube.com/watch?v=656058JxTM0
52•zoenolan•4d ago•17 comments

Queryable Executables

https://fzakaria.com/2026/08/24/actually-queryable-executables
131•rguiscard•7h ago•21 comments

OpenAI Jalapeño: Better than Nvidia Blackwell

https://newsletter.semianalysis.com/p/openai-jalapeno-better-than-nvidia
444•bmulholland•17h ago•286 comments

New Mac Studio with M5 Max and M5 Ultra

https://www.apple.com/newsroom/2026/08/apple-introduces-new-mac-studio-with-m5-max-and-m5-ultra/
754•interpol_p•18h ago•495 comments

More than half of adults in U.S. say they lack basic statistical understanding

https://www.psu.edu/news/research/story/more-half-adults-us-say-they-lack-basic-statistical-under...
55•giuliomagnifico•1h ago•80 comments

Agentic Context Management: Memory and Cost as Architecture Problems

https://arxiv.org/abs/2607.21503
37•gdad•4h ago•13 comments

Black hole singularity is a surface not a point

https://arxiv.org/abs/2608.21590
228•raattgift•14h ago•167 comments

Maiao: Gerrit-style code review workflow for GitHub, GitLab, Gitea, others

https://github.com/runetes/maiao
69•zdw•8h ago•35 comments

New Mac mini, featuring M6 and M5 Pro

https://www.apple.com/newsroom/2026/08/apple-unveils-a-more-powerful-mac-mini-featuring-the-all-n...
486•runako•18h ago•297 comments

When str.lower() is a security vulnerability in Python

https://sethmlarson.dev/when-str-lower-is-a-security-vulnerability
104•rbanffy•10h ago•45 comments

C2PA Cameras Do Not Survive Contact with Reality

https://www.da.vidbuchanan.co.uk/blog/android-c2pa.html
136•Retr0id•11h ago•77 comments

Nitter and XCancel receive cease and desist notices

https://github.com/zedeus/nitter/issues/1442
843•Banditoz•14h ago•699 comments

Building a backyard office, the build and cost breakdown

https://www.imkylelambert.com/articles/building-a-backyard-office-the-build-and-cost-breakdown
328•surprisetalk•17h ago•210 comments

Run OpenBSD on DigitalOcean for $4/month

https://nil.wallyjones.com/run-openbsd-on-digitalocean-for-4month/
155•speckx•14h ago•70 comments

Bomb fishing is wreaking havoc on Indonesia's coral reefs

https://e360.yale.edu/digest/bomb-fishing-coral-reefs
306•speckx•16h ago•156 comments

Tooltips need a delay, and then they need to skip it

https://blog.master.dev/tooltips-need-a-delay-and-then-they-need-to-skip-it/
164•ibobev•14h ago•39 comments

Don't Wordle

https://dontwordle.com/
343•Hbruz0•19h ago•121 comments

Show HN: TeXbrain, a LaTeX editor that runs pdfTeX in the browser via WASM

https://github.com/swimmingbrain/texbrain
83•swimmingbrain•9h ago•16 comments

Show HN: LatticeDB – Like SQLite but for graph databases

https://github.com/jeffhajewski/latticedb
143•smiths1999•14h ago•38 comments

Dolly Parton has died

https://www.theguardian.com/music/2026/aug/25/dolly-parton-country-singer-dead
1416•helsinkiandrew•13h ago•213 comments

Show HN: I made a Raspberry with Qwen my local car AI

https://github.com/ThinkOffApp/CarWatch
129•petruspennanen•16h ago•35 comments

My Friend Aaron

https://rorz.io/writing/my-friend-aaron
529•sarreph•14h ago•145 comments

How credit card rewards became a $9.2B wealth transfer

https://www.library.hbs.edu/working-knowledge/how-credit-card-rewards-became-multibillion-dollar-...
162•conbrian•19h ago•294 comments

A brief history of federal lift ticket regulation

https://zakpodmore.substack.com/p/a-brief-history-of-federal-lift-ticket
59•CGMthrowaway•12h ago•11 comments

Firefox 157 will include JPEG XL by default on all platforms

https://groups.google.com/a/mozilla.org/g/dev-platform/c/3YMV4MS34KA?pli=1
356•yboris•13h ago•90 comments

Clara (YC P26) is hiring a growth engineer to bring AI doctors to market

https://www.ycombinator.com/companies/clara-2/jobs/8snci6k-founding-full-stack-growth-engineer
1•gfavvas•13h ago

Visualizing Binary Files

https://movq.de/blog/postings/2026-08-05/0/POSTING-en.html
106•zdw•1d ago•18 comments
Open in hackernews

More than half of adults in U.S. say they lack basic statistical understanding

https://www.psu.edu/news/research/story/more-half-adults-us-say-they-lack-basic-statistical-understanding
55•giuliomagnifico•1h ago

Comments

ledoncool•1h ago
wow, more than half..
markdown•1h ago
99.99% actually.
setopt•1h ago
"Think of how stupid the average person is, and realize half of them are stupider than that." — George Carlin
gpt5•1h ago
I think the average person is definitely intelligent. It's just that we are very prone to mixing intelligence with knowledge in addition to also forgetting how long it took us to learn things that are so automatic for us we see them as trivial.
BartShoot•1h ago
and who considers themselves to be in that lower half? Probably a lot less than half of the population
isoprophlex•1h ago
Shouldn't that be the median person for the quote to actually hold?
setopt•56m ago
Given that most measures of intelligence follow nearly normal distributions (as long as you stay away from the tails), I think it doesn’t matter that much.
floam•1h ago
That’s surprisingly self-aware, and encouraging.
zkmon•1h ago
Things change with time.

Back in the 70's I used to walk 20 miles as a child, and then go for farm work (not eveyday). As a mining engineer, I used to walk up 1.5 miles along a 1:3 incline (tunnel) everyday, sometimes during midnight, working 6-day week. Worked in dirtiest, noisy coal mines, near blast sites, soaked in black dust, with no place to sit during the shift. But never felt that it's something hard or bad, until some college kids, for who I was a tour guide, told me in horror that they wouldn't ever venture working in such place.

My boss laughs at that. He receives anonymous red-letter notes from the local extremist organization threatening him. He keeps a pile of those notes on a spike.

ethersteeds•56m ago
Wait... Your second paragraph is jarringly different from the first. How do they relate?
sharkjacobs•52m ago
And how do either of them relate to statistical literacy in the United States?
itake•49m ago
My interpretation is how the risks (statistics) of those job functions are more known, people choose to avoid them. But the people that are-the-statistic don't necessarily agree with or understand those statistics.

For example, if OP is a coal miner that hasn't had health issues yet, they may choose to discount statistics that declare x% of coal miners have negative health outcomes.

adabovehuman•43m ago
This feels correct. It's why they included the tidbit about their youth, they're saying their job was better than the life they grew with.
sans_souse•1h ago
That's like ⅐ of the US population..
sixtyj•45m ago
“More than half” may mean anything between 50 and 100 percent. :)

But if they release headline “62% of respondents” reported no or limited statistical knowledge while only 11% regularly use statistics in daily life…

…then they would loose more than half of readers who don’t know “per cent” or % symbol (?)

I thought that OP changed the original headline but no, psu.edu really published this :)

onion2k•35m ago
It could be 1/14th. That's twice as many.
mattvr•55m ago
The question asked as part of the survey: “how well do you understand p-values?” Most scientists may not even be able to pass truthfully.

https://en.wikipedia.org/wiki/Misuse_of_p-values

bruce511•52m ago
>> found that 62% of respondents reported no or limited statistical knowledge

The other 38% didn't understand the question...(my extrapolation)

I did a couple semesters of statistics at uni. And I can confidently say that the number of people who can answer 3 simple questions on statistics (like say mean versus medians, confidence levels or margins of error) is, well, a rounding error from 0.

Indeed, statistically, no-one has a clue how statistics work.

I did however learn enough to know that statistics can tell you absolutely anything you want them to say. Assuming you don't just make them up, they're trivial to manipulate to generate the headline you want.

When used to evaluate risk, the comprehension goes down further (a fact willfully exploited by any decent marketing.)

Statistically, most statistics are meaningless.

kazinator•47m ago
You mean, the other 48% didn't understand the question. :)
salviati•45m ago
> Assuming you don't just make them up, they're trivial to manipulate to generate the headline you want.

well encapsulated in the quote popularized by Mark Twain "Lies, damned lies, and statistics" [1]

[1] https://en.wikipedia.org/wiki/Lies,_damned_lies,_and_statist...

One of my favourite jokes: 93 % of statistics are made up on the spot, and 61 % of people believe them. Bonus points for changing the figures every time you retell the joke.

BLKNSLVR•41m ago
You _have_ to change the numbers each time, because you're constantly measuring and these things have basic variation. It would be unrealistic if the fake statistics were the same every time!
arjie•51m ago
> The survey showed that 62% of U.S. adults self-report having little to no idea what statistics or statistical concepts like p-values are, but 90% of them would base decisions on reported statistics at least sometimes if they understood them better.

You're kidding, right? 38% self-report more than that? If their self-report were accurate it would imply an education system that has truly excelled.

kazinator•47m ago
> The bigger half of adults in the U.S. admit to lacking basic statistical understanding

FTFY

simonw•46m ago
> How much do you understand about statistics and p-values?

Is that a well designed survey question?

I would expect the use of a specific jargon term in that question to affect the results in a significant way.

jdw64•43m ago
What does it really mean to properly understand p-value? What I remember is that if the p-value is less than 0.05, the research result is considered statistically significant. That's about as far as my memory goes. I know that's actually a misunderstanding, but that's how most people understand it. I'm not sure how much I need to know to say I truly understand it.
maccard•36m ago
Fair play to you for answering, but that’s not what a P value is! A p value is the chance of getting a result greater than the result you actually got, _assuming you are testing a hypothesis_.

I’m also pretty sure I would fall in the camp of saying “nope don’t understand P values” as I can’t remember anything else about them.

Ekaros•26m ago
Same. I think it involves doing some other stuff very much properly... Like formulating whole thing... And even then you might luck out if you try enough of things...

So I admit I only know that P values are somewhat useful some of the time.

ngruhn•27m ago
Agree. I think it's more important to understand statistical fallacies (selection bias, regression to the mean, survivorship bias, etc). Those are extremely common trip wires but to recognize them you don't need to memorize formal definitions.
piskov•17m ago
It is mumbo jumbo (also people hearing “significant” treat this as “effect/change is large and important” which is in no relation to the actual amount of change).

Low p-value basically means how surprising your data would be if there were actually no effect (ie less than 5% probability of this change to be attributed to pure randomness — p=0.05)

Sample size matters heavily. With more observations, estimates become more precise, so increasingly small differences can become statistically significant. With a large sample, you can therefore get a tiny, practically meaningless effect with a very small p-value.

Eg effect of $1 can be statistically significant (not random) which does not matter in practical terms if average is like $10000.

So key point here is not only look at the p-value but an actual change. Eg if a drug gives you only 0.01% more hair, it doesn’t matter to you that it is guaranteed.

maccard•40m ago
> How much do you understand about statistics and p-values?

I suspect that it’s far far less than 38% of people who actually understand statistics to this level. I suspect if someone on HN went around and asked their co workers to explain what a P value is in 2 sentences, it would be less than 10% of a (presumably) highly educated workforce.

I suspect about 40% of adults are unable to tell the difference between mean/median/ mode, or could answer the Monty hall problem, or even “if I flip a coin 3 times are the chances I get heads 3 times in a row”

applfanboysbgon•31m ago
I mean, the Monty Hall problem is a literal gotcha that trips up literal professors, that's a horrendous example to use as the baseline for "basic understanding of statistics".

Other than that choice of example, I do agree in that I doubt anywhere near 40% of adults have basic statistical literacy. I've played in card game tournaments semi-professionally and just gambler's fallacy + results-oriented thinking alone make it so easy to take other people's money, and if you can't figure out such basic concepts as "getting tails once doesn't mean I'm due for a heads next flip" even when you're literally losing money, what are the chances of anyone else caring about understanding it when they're not even being given the hands-on reward-based reinforcement learning opportunity?

maccard•14m ago
Yeah I maybe should have ignored the Monty hall problem - although I’d guess if you’ve studied enough stats to know what a P value is, and how to measure it, you’ve come up against the Monty hall problem!
NitpickLawyer•36m ago
I'd say in reality it's way more than that. The first statistics course in uni was a very humbling experience. I realised that while I thought I understood a lot (and I was coming from a CS heavy background, olympiads and such) real statistics is way harder and a lot more counterintuitive than I thought. Granted, this talks about "basic" statistical understanding, but even that is way more complicated than most people assume.
bbeonx•18m ago
yeah, i've studied a lot of math and a lot of cs, and stats is tough. part of the problem is the terminology, and just giving a ton of complex machinery without telling you what it's actually doing. i've never learned that way, and it is very easy to feel like you're doing some sort of dark magic.

also, probability theory vs statistics is an important distinction: prob theory is a nice clean mathematical subject, while statistics is almost the philosophy of applying probability theory to the world.

BLKNSLVR•36m ago
I love how they include statistics in the headline of a story about the lack of understanding of statistics. Epic troll.

100% of headlines of statistics-related articles must follow this rule.

blackbear_•34m ago
This was abundantly clear when people, even on HN, were upset about the bureau of labor statistics revising their numbers tendentially downwards, probably confusing the notion of statistical bias for that of political bias.

If the figures are biased, just estimate the bias and correct for that, what is the big deal they said, as if the bias variance tradeoff was not a thing.

_joel•27m ago
Well, that's what happens when you use words like math and not maths. Although us Brits aren't that much better.
idoubtit•25m ago
The fact that 62% of Americans have little or no understanding of statistics may be related to those 40% of Americans that believe in Creationism, i.e. human (and fossils) were created by God a few thousands of years ago, and not of randomness and evolution over millions of years. I think no other industrial country has that disbelief in science. https://news.gallup.com/poll/261680/americans-believe-creati...

This problem with science is apparent in another survey: in 2009, a Pew Center publication showed that 33% of scientists in the USA believed in God (and 18% in a transient power), which is much lower than the 80% belief of the general American population at the time. Of course, this is not a proof of causality in either direction, but scientific knowledge is seemingly inversely correlated to religiosity. And the USA are still more religious than any other industrial more-or-less-democratic country.

dataflow•24m ago
Even leaving aside the quantitative stuff (p-values, medians, whatever) and can't crunch the math, IMHO at least you should have seen how statistics can lead you to the exact opposite conclusion from reality, so that you at least know whether to think twice about a conclusion drawn from statistics thrown at you. Yet I was recently quite surprised to learn that even many folks in tech had never encountered Simpson's paradox before. All it takes to start explaining that is a scatterplot and a few lines, and yet it doesn't seem to be taught widely. It's rather terrifying, given that most people (myself often included) will be happy to believe "obvious" conclusions drawn from seeing one percentage greatly exceed another.
raincole•22m ago
A coarse understanding like "the smaller p-value is the more likely a headline is true" is worse than no understanding at all. I bet most people who believed they understood what p-value is are like that though.
applfanboysbgon•18m ago
38% of Americans say they have some familiarity with statistics.

On a somewhat related note, 8% of Americans say they can beat a gorilla in a fist-fight.

wafflemaker•18m ago
I would be more likely to believe the results if they tested these adults and not asked them.

There's a big ego hit in admitting you don't know something. And many people are brought up thinking that it's a shame not to know something and that someone is better for knowing something. Like, a better person, not just better in some field.

dr_dshiv•15m ago
“Fortunately, concepts in statistics are grounded in intuition and rationality.“

Yeaaah… let’s talk about that.

Seems like a fair bit of stats were designed to intimidate —so as to get people to stop asking questions. Or at least that is the effect!

Stats designed for intuition are few. See Kill Math for how it might be done: https://worrydream.com/KillMath/

frontfor•11m ago
The article reads like work of a crackpot. There’s a reason why maths is done the way it is, and intimidating people is definitely not the motivation.
QuantumNomad_•7m ago
Bret Victor is awesome. I especially like his “Inventing on Principle” talk and his “Up and Down the Ladder of Abstraction” article.

https://vimeo.com/906418692

https://worrydream.com/LadderOfAbstraction/

zippyman55•13m ago
There is the old joke that 87 percent of all statistics is made up on the spot. I’ve told it many times but a fair amount of people seemed to believe it hook, line, and sinker.
nagi_builds•12m ago
not all U.S adults lack statistical understanding!
wolfi1•12m ago
that's about 70%!
sjhsj•11m ago
Ratan
mgaunard•8m ago
We already know the pre-university US education system is bad (comparatively with other OECD countries), particularly in Mathematics.

No surprise here.

jyriand•4m ago
Reminds me a joke by Robert Anton Wilson:

"You know how dumb an average American is. Well, mathematically speaking, half of them are even dumber than that."

zkmon•36m ago
Statistical literacy, or any literacy for that matter, requires hard work that is seen as a normal way of life. When machines do that hard work for us, it is no longer seen as a normal thing, but some unnecessary hard work (when we have cars, why walk 20 miles? And we have machines that do statistics).

Just like how those college kids saw my work as horrifically weird hard work, while I saw it as a normal thing.

itake•52m ago
I think they are saying as information (statistics) are known about the risks of those jobs, less people are interested in performing those jobs.
gib444•49m ago
Oh we used to dream of only walking 20 miles a day.

We used to get up at 3am half an hour before we went to bed, eat a lump of cold poison then walk FOURTY miles uphill to school then when we got home our Dad would slice us in two with a bread knife

whstl•25m ago
Luxury!
fergie•40m ago
Are you a bot? Are you sure that you are answering in the thread that you meant to?
zkmon•31m ago
Nope. It's a true story. And how it relates to thread is given below in another of my comments. "Things change with time" should have given you some relation. Statistics is seen by the current generation as hard work, rightly so, due to availability of easier ways of dealing with it.
dcminter•19m ago
Well, if we're telling stats jokes...

A statistician is a man who with his head in the freezer and his feet in the oven can say "On the whole I feel perfectly normal."

Recommended reading: 'How to lie with statistics' - Huff, 1954

:)

saulpw•10m ago
After all the average human has one breast and one testicle.
tails4e•6m ago
Amd less than 2 legs.

If even one person has 1 leg, then the average is strictly less than 2.

friedchips•4m ago
The average body temperature of the people in a hospital is in the normal range. Many do have a slight fever, but some are in the fridge.

Our stat prof was a very special guy.

gloryjulio•40m ago
Exactly. 38% is way too high. Are we sure about that? Statistics is not some required learning in school. Even those who learned (me for example) cannot confidently claim what it actually means. I would say most of the people don't have a clue what statistics mean
bruce511•31m ago
If you changed "most" to "all" you'd be well inside the margin or error.

There's a reason actuaries get paid the big bucks.

bawis•24m ago
One can get paid the big bucks without a clue what they do, even some of the most brilliant statisticians do acknowledge the ambiguity of stats.
shrubby•34m ago
I started thinking about this percentage on decision makers around the world and got a chuckle.

I've been trying to talk about the median vs. mean with a bunch of politicians on themes around the zillionaires, wealth or consumption and for most parts they're clueless. Or the ones with degrees still go with the normal (mean that skews the normal) as they're afraid.

I just happened to get a copy of naked statistics yesterday, as I feel the human traits of poor comprehension of probabilities can be enhanced to at least some extent. And my degree from the social side didn't include statistics.

If there are better entry-level books on the matter I'm happy to take some recommendations.

red75prime•25m ago
> I did however learn enough to know that statistics can tell you absolutely anything you want them to say.

When told to a statistically illiterate person who isn't aware of Simpson's paradox and so on?

selcuka•20m ago
> When told to a statistically illiterate person?

Which is a rounding error from 100% according to the GP.

andreareina•25m ago
If you're not yet familiar with it, I present to you the Datasaurus Dozen: https://www.research.autodesk.com/publications/same-stats-di...
pdpi•4m ago
And the older Anscombe's Quartet: https://en.wikipedia.org/wiki/Anscombe%27s_quartet
bbeonx•22m ago
i mean, the headline statistic can be misleading, but you gotta dig in and wrestle with the details. just like anything, we cannot boil down complex things to single numbers and expect any sort of meaningful signal. we gotta roll up our sleeves, look at definitions, think about what our actual questions are, how we might answer those questions through measurements and observations, and what the confounders are. i think a common issue folks have with stats is that they expect a tidy answer, and it just doesn't do that: it's more of a way to prove the world...the results still need some interpretation.
throw310822•20m ago
>> found that 62% of respondents reported no or limited statistical knowledge

Combined with Dunning-Kruger, this means that the real number of people completely clueless about statistics is closer to 38%.

pmontra•20m ago
> mean versus medians, confidence levels or margins of error

It's basic when you are attending an undergraduate course but most people can understand mean (as a dictionary might generically define it) and have a general feeling for margin of error (again, not in the mathematical way.)

Statistics has been the most difficult course in my CS course. For some reason when I start counting events to get a probability I find several perfectly plausible ways to count them, get five different probabilities and none of them is the correct answer.

And about being "trivial to manipulate [numbers] to generate the headline you want" a politician once told me that you can show the same numbers in any way you want, as in to demonstrate a thesis or its opposite.

mr_mitm•15m ago
I wish people had an intuitive understanding of probabilities. It seems the average person can only think in terms of "basically never happens", "fifty fifty" and "sure thing".
quijoteuniv•13m ago
It would be interesting to probe the political orientation of the people who understand and those who don’t and see if there is some correlation there.
stackghost•8m ago
P-values are almost always taught poorly, but it's not actually that difficult of a concept. I took statistics in high school, again in undergrad, and it wasn't until the third time in grad school that it actually made intuitive sense (thank you Julia Yang!). When you're testing a hypothesis in statistics, it's easier to formulate a "null hypothesis" which is the opposite of what you're testing, and then try to disprove that null hypothesis.

A p-value is the probability, assuming the null hypothesis is true, of obtaining a result at least as extreme as the one actually observed.

Put differently: if the null hypothesis were true, then for p=0.05 you'd see <thing you just observed> at most 5% of the time.

Put differently again: If the null hypothesis you are testing is true, then for p=0.05 random sampling would not return an observation as far from the test statistic as you just observed, 95% of the time.