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Is that just a reflex response though? I would expect people to be more deliberate in their interactions with medical professionals, but I can easily imagine hearing “How are you?” and my brain goes on autopilot.

Yeah, this is something I had to learn over my teenage/early 20s years. "How are you?" Is often not a question but just a generic greeting like "Hello" or "Nice to meet you". Sometimes it is though, but that's just one of the many examples of unwritten rules about how to tell whether someone literally means what they're saying or if there's a better way to interpret it.

Having only lived in the US, I don't have nearly enough firsthand experience with other cultures for me to be the one to comment on them, but I suspect that every culture has some things like this where the actual intent of the communication isn't direct. I suspect that if people in tech were asked to identify which cultures they considered to be the most direct in their communication, American culture probably wouldn't be ranked first. Generally the stereotypes of other cultures that are perceived as more direct get described in more pejorative terms like "blunt" though.


The greeting is generally in the waiting room. I’d do exactly the same if I was them.

The release notes seem more informative than GitHub.

https://pandas.pydata.org/docs/whatsnew/v3.0.0.html


Visidata is in Python and has offered “real time” analytics of fixed files for a long time. Computers are stupidly fast. You can do a lot of operations within a few seconds time window.

I wonder, what’s to stop an energy company with a mixture of RE and gas from disabling X% of their RE infrastructure, forcing gas to come online and the higher rate? Only the biggest producers control enough of the market to do it, but it seems plausible for the company to find specific demand scenarios where they could tip the price in their favor.

There's a big wind farm I drive by occasionally and sometimes most of the windmills are feathered. Some are turning, so there's clearly wind. I have assumed this is when the demand is low (or maybe negative).

That’s not necessarily true. In general a single windmill is more efficient at pulling energy out of the wind than two are. And the marginal costs of windmills are not zero. I.e. their maintenance cadence (also) scales with active hours. So it might be a “at this price-wind point it’s not profitable for us to run a second mill”

I find math topics to be insufferable. They are written to be as theoretical as possible and borderline useless if you do not already know the topic at hand.

It's extremely difficult to write math articles for a general audience which are both accessible and accurate, and the number of excellent writers working on Wikipedia math articles is tiny.

Please get involved if you want to see improvement. There are some math articles which are excellent: readable, well illustrated, appropriately leveled, comprehensive; but there are many, many others which are dramatically underdeveloped, poorly sourced, unillustrated, confusing, too abstract, overloaded with formulas, etc.


no.

there are many math teachers teaching math to people who don't know the subject, basically all mathemeticians. and wikipedia has guidelines for how to serve the audience, the math articles ignore it.

I (got into and) went to MIT (and graduated several times) in engineering and also in finance. I am way beyond the average wikipedia reader in math knowledge. the mathematics wiki articles are imho worthless. the challenge is not how to write articles that are explanatory and reasonable, the challenge is all the gatekeeping of the wiki editors who make it the way it is, that is an unreasonable fight. I tried to make a change a couple of weeks ago to correct an error that was in an article. I got reverted by a person who wanted to collaborate on making the article more abstruse as a solution. "but the error" I said. It's still there.


The thing about Wikipedia is that no one cares what you have done outside Wikipedia. It is like showing up at a new work place and saying something that is factually correct, it can go any way.

I have a fair amount of edits on Wikipedia and the wikis that preceded it. Whenever I read this sentiment here I never really understand what the problem is. I never have it myself. The only fight I have been involved in was if Wikipedia should have an article on Bitcoin. Which was not obvious in the beginning.

You could always link to the article and we can have a look. I have no clout on Wikipedia but I do understand why facts can be problematic in any text book. It once took me a week to correct an article about a Russian author.


> the challenge is all the gatekeeping

I'd say there's significantly less gatekeeping on Wikipedia than most parts in academia. YMMV.

But: there are a bunch of random clueless people trying to promote their obscure papers to boost their citation counts, push weird nationalist POVs, add fringe pseudoscience, make "fixes" that turn out to be wrong, add vague explanations which they find personally helpful but nobody else can make sense of, remove clarifications and explanations in the name of rigorous purity, change the wording of sentences that have been subject of years-long dispute and careful compromise, and so on. Wikipedia maintainers are constantly fighting against these agents of entropy (or when an article is not actively maintained, it tends to get a lot worse over time), which unfortunately can sometimes also negatively color interactions with helpful contributors. They're also part-time volunteers, and fallible humans; try to cut them some slack.

To the extent that there is "gatekeeping", it is mostly along the lines of: you can't use Wikipedia primarily for self promotion, you can't add your own new claims that have no published source, and you have to abide by existing norms of project/community engagement. In general, people are judged by their contributions and behavior, not their credentials (though editors also include a bunch of world-class experts in the topics they contribute about, and it does have some pull when someone can say "I literally wrote the top cited paper about this" or whatever).

But beyond that, the difficulty is that there's no one correct way to explain difficult topics, no single audience for Wikipedia articles, a lot of strong opinions about how things should be one way or the other. Trying to satisfy everyone takes discussion and compromise and sometimes a minority is still unhappy with the resolution. The biggest problem though is that there are not enough active participants (including in mathematics) to write great articles about every topic, and writing a really excellent article about something takes a huge amount of work; there are many mediocre articles that have never really had the time put in to make them great.

When someone new to the project gets into a heated dispute about a minor point, they routinely get extremely frustrated and occasionally then run around the web complaining about how awful the people on Wikipedia are. Several times times in the past few years I have asked such complainers for specifics, and remarkably I have gotten a reply ~4 times. In all but one case, when I went to investigate further it turned out that they were clearly in the wrong. In the last example there was a misunderstanding and I fixed the issue. If you want to provide a specific article and error, I'm happy to go take a look.

Alternately, when people run into an unresolvable dispute on one local article talk page, they can seek opinions from wider groups of Wikipedia editors, e.g. on the math "wikiproject" talk page https://en.wikipedia.org/wiki/Wikipedia_talk:WikiProject_Mat.... If you make a post there about your issue, you will get more eyes on your problem, and it will likely be resolved correctly.


Out of interest, would you consider these articles to be approachable to a non-mathematician?

- https://en.wikipedia.org/wiki/Introduction_to_quantum_mechan...

- https://en.wikipedia.org/wiki/Introduction_to_general_relati...

They were created because the main articles are, as you say, difficult for a layperson to read.


Absolutely. I do not know the current status, so don’t kill me if now is much better, because is just an example from many. But take fourier series. I remember going into the article, and instead of starting with something lime “helps to decompose functions in sums of sin and cos”, started with “the forier transform is defined as (PUM the integral for with Euler formula) continues: is easy to show the integral converges according to xxx criterion, as long as the function is…” you get the idea. Had I not know what FT is, I would’ve not undestand anything

Articles in biology, from which I understand nothing, are a wall for me. I could never understand anything biology related. Also for example, in Spanish, don’t ask me why, any plant or animal is always under the latin scientific name, and you have to search the whole article to find the “common” name of the thing.


The articles about Fourier series and Fourier transform currently begin with:

> A Fourier series is a series expansion of a periodic function into a sum of trigonometric functions. The Fourier series is an example of a trigonometric series. By expressing a function as a sum of sines and cosines, many problems involving the function become easier to analyze because trigonometric functions are well understood.

and

> In mathematics, the Fourier transform (FT) is an integral transform that takes a function as input, and outputs another function that describes the extent to which various frequencies are present in the original function. The output of the transform is a complex valued function of frequency. The term Fourier transform refers to both the mathematical operation and to this complex-valued function. When a distinction needs to be made, the output of the operation is sometimes called the frequency domain representation of the original function. The Fourier transform is analogous to decomposing the sound of a musical chord into the intensities of its constituent pitches.


In english is much better now... but:

https://de.wikipedia.org/wiki/Fourier-Transformation

That is much more as it used to be in english. Anyway I stated clearly, it was a time ago, and now may be better, that it was just an example. In german is still shooting mathematical symbols that anybody who does not already know what FT is, will 99% not even start to understand what is it about.


The only way anything ever changes in a volunteer project is if someone feels motivated and makes the effort. Please contribute changes to German Wikipedia articles (or English ones) when you notice possible improvements. If you are not personally capable of improving an article about a topic you don't know about, please try to contribute to the articles about topics you do know something about. Or you can try to leave a talk page message asking for help.

I agree with your comments on mathematics. The articles are seemingly accurate in that field, but not usable by laypeople.

The same principle applies to IPA transcriptions. I know some IPA but often find that it is less intelligible than the originals in some cases.


I find it the other way around. I remember vividly that the textbook I was using for proving Gödel's first incompleteness theorem was insufferable and dense. Wikipedia gave a nice and more easily understood proof sketch. Pedagogically it’s better to provide a proof sketch for students to turn it into a full proof anyways.

i don't know how many upvotes you've gotten, but it's not enough. or to put it mathematically, megadittoes!

To give a different opinion, the math topics are actually what I like most. When I'm looking for something on Wikipedia, I want to get a precise definition and related concepts. I don't think it's Wikipedia's job to teach me the material, there's other resources for that.

For money, anything is possible. That’s the employment contract, trade money for time doing things you would rather not.

Indeed but if the pay needs to be high, you may as well pay someone experienced.

Now I am wondering are there any industrial processes that use a common commercial product as a standard?

Coke, Guinness, etc all probably have exquisite quality control. Is it in the manual of any equipment, “congratulations on your new FooBar pH meter. To confirm the correct operation, a CokeCola should give a reading of X”


The government has reference products that a lot of processes use. https://shop.nist.gov/ccrz__ProductList?categoryId=a0l3d0000...

one that gets mentioned occasionally on the internet is the peanut butter: https://shop.nist.gov/ccrz__ProductDetails?sku=2387


I was more imagining a completely pedestrian sourced sample. Those are likely large aggregate pools to minimize heterogeneity. Looking for something like, “Go to corner store, buy 12 pack canned CokeCola (with aspartame), dilute 1:10, measure”

To go down that rathole, here is Tom Scott talking about the NIST standard reference materials: https://www.youtube.com/watch?v=jvJzi0BXcGI

Coincidentally, Guinness had a role to play in the development of modern quality control.

https://en.wikipedia.org/wiki/William_Sealy_Gosset


Some of the most dimensionally accurate thickness aluminium foil you can buy is intended for cooking.


Do we count the time some children measured the vitamin C in Ribena for a science fair, and discovered there wasn't any, despite high vitamin C being their main marketing point?

I just looked that up. Great story!

The big providers only want themselves to be able to backup passkeys. I do not want to handover my secrets to Apple/Microsoft/Google.


Apple Keychain syncing is end-to-end encrypted, Apple cannot see the contents of your synced keychain.


That has to be abysmal bandwidth, right? How much data can you practically transfer that way?


Shannon-Hartley says the theoretical maximum data rate for a channel with AWGN is proportional to bandwidth and the log of signal-to-noise ratio. For an off-the-shelf microphone/speaker pair, I think 16 kHz and 80 dB are probably decent guesses. That would give a theoretical maximum data rate of about 425 kb/s. The practical limit is probably much lower.

It may be possible to increase the bandwidth by increasing the sample rate on both ends, but this quickly leaves the realm of consumer audio equipment (and consumer pricing). At some point you'd exceed the reasonable frequency responses for each device, as well as the medium. I imagine that air attenuates ultrasonic frequencies more than lower ones, but that's just a guess.


Honestly better rate than I expected. If they are just looking to export a steady stream of telemetry, that would be sufficient.


Speak for yourself. I can adjust all of my physical climate controls, radio, wipers, and cruise control without taking my eyes off the road. Maybe some fumbling to pick the right blower angle.


Some manufacturers have massively screwed up the cruise control buttons. On Rivians, for example, the car will instruct you to take control of steering if you will soon enter an area where it can’t do assisted steering. Fine, except that the only control that can transition directly from assisted steering to plan enhanced cruise is to jerk the steering wheel, which is distinctly uncool. So you instead cancel cruise entirely and then re-engage it.

To add insult to injury, despite the fact that the speed up and speed down buttons are actual physical buttons, they are so aggressively denounced that there’s a loop: press button, wait, press, read screen to see if you’re making progress, press, etc.

Anyway, the point is that, while physical buttons in predictable locations can make it possible to operate something without looking, it still needs a good design and implementation.


I mean "even" in a Tesla you can adjust volume, next/previous track, wipers, cruise control (among other things) with a physical button, and climate controls are in a fixed location on the screen (and are typically left on auto).


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