If you had asked me to list ten books that would be mentioned frequently on HackerNews, I think I'd have gotten at least eight of the top ten here.
Readit Newsthefringthing commented on Show HN: Books mentioned on Hacker News in 2025 hackernews-readings-61360... · Posted by u/seinvak
I assume eliminating the "loss leader" concept is the main effect, since shops shouldn't otherwise price things as losses regardless? In which case it seems like it's meant to maintain some friction / overhead for people wanting to visit the stores, possibly reducing consumption at least for the price-sensitive.
Selling at a loss can also be a monopolistic practice: a firm with enough capital can sell at a loss to capture the market, and then buy out their now-flailing competition.
thefringthing commented on I wasted years of my life in crypto twitter.com/kenchangh/sta... · Posted by u/Anon84
How has it not been a store of value?
It's a store of value in the sense that it has a non-zero price at any given moment, but when people say that one of the functions of money is to be a store of value, they mean that its value must be reasonably stable so that its future usefulness is predictable.
thefringthing commented on SlopStop: Community-driven AI slop detection in Kagi Search blog.kagi.com/slopstop... · Posted by u/msub2
I just requested access to the database @freediver so hopefully it should be integrated into https://hcker.news soon.
I appreciate Kagi's community-driven approach. The open Small Web list[0] is invaluable. Applying a smallweb filter[1] on HN brings a breath of fresh air to the frontpage.
Is there a simple way to turn a set of hcker.news feed settings into an RSS feed?
The Convention on the Prevention and Punishment of the Crime of Genocide does not require that perpetrators are successful in reducing the population of the targeted group, only that they "intend to destroy [it], in whole or in part" and take any of five specific categories of action with that intent.
What is a "productive mindset"? Why do we so easily dismiss some things as due to genetics, while for others it's strictly taboo?
The causes and mechanisms of ADHD are reasonably well understood. Perhaps whatever other traits you have in mind are not.
> ‘ȝ’ was used to write two completely different sounds in Middle English
Was it, though? By comparing English and Dutch you can clearly see that one of the ways this harsh "gh" changed in English is it became "y" as in "yesterday". "Weg" (Dutch) - "way" (English), "gister[en]" (Dutch) - "yester[day] (English), etc. I wonder if at the time pronouncing it as "gh" was still common and this would make using the same letter in some words much more logical.
The article addresses this.
They don't exist.
A French kid can reasonably spell words they hear, even if there are a lot of unpronounced or apparently useless letters.
I've heard from a Chinese friend that the same is true for Mandarin. Apparently most written words have a "meaning" component and a "pronunciation" component (excepting the most common words, which are easy to learn by rote).
French spelling is sometimes described as "one-way": it's almost always possible to pronounce a written word correctly, but very difficult to spell a word you've only heard.
Which accent should the phonetic representation be based on?
Thick lousiana accent? Southeast london accent? Boston southie accent? Mid-atlantic?
No matter what you choose, it won't be phonetic for someone
Kingsley Read went with something like an artificially rhotic midcentury RP when designing the Shavian alphabet. It works reasonably well for me, a Standard Canadian English speaker, except that distinguishing all the open vowels (father/bought/bot) can be a struggle,
thefringthing commented on Bayesian Data Analysis, Third edition (2013) [pdf] sites.stat.columbia.edu/g... · Posted by u/ibobev
Here is one path to learn Bayesian starting from basics, assuming modern R path with tidyverse (recommended):
First learn some basic probability theory: Peter K. Dunn (2024). The theory of distributions. https://bookdown.org/pkaldunn/DistTheory
Then frequentist statistics: Chester Ismay, Albert Y. Kim, and Arturo Valdivia - https://moderndive.com/v2/ Mine Çetinkaya-Rundel and Johanna Hardin - https://openintrostat.github.io/ims/
Finally Bayesian: Johnson, Ott, Dogucu - https://www.bayesrulesbook.com/ This is a great book, it will teach you everything from very basics to advanced hierachical bayesian modeling and all that by using reproducible code and stan/rstanarm
Once you master this, next level may be using brms and Solomon Kurz has done full Regression and Other Stories Book using tidyerse/brms. His knowledge of tidyverse and brms is impressive and demonstrated in his code. https://github.com/ASKurz/Working-through-Regression-and-oth...
I would include Richard McElreath's _Statistical Rethinking_ here after, or in combination with, _Bayes Rules!_. A translation of the code parts into the tidyverse is available free online, as are lecture videos based on the book.