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Cake day: December 6th, 2024

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  • It deceives people whose idea of how things work in large companies hasn’t changed since the days when it was the manager of your bank branch who decided if you you should get a loan or not.

    Nowadays, for certain in middle and large size companies, all the administrative main business pathways are heavilly if not totally automated and it’s customer support that ends up eating the most manpower (which is why there has been so much of a push for automated phone and chat support systems, of late using AI).

    Those $25 bucks for “account closure” pays at worst for a few minutes of somebody’s seeking the account from user information on a computer, cross checking that the user information matches and then clicking a button that says “Close accout” and then “Ok” on the confirmation box and the remaining 99% or so left after paying for that cost are pure profit.


  • As somebody who works in designing software systems, including for large companies, lets just say that the amount of human time that goes into a customer account closure is negligible because main business operations such as openning and closing customer accounts are the ones that get automated the soonest and the furthest.

    The stuff that uses “lots” (in relative terms) of manpower is supporting customers with really unusual problems involving third parties and even then spending 2.5 h man/hours (assuming the administrative person get paid $10/per hour) is pretty uncommon.

    You’ve been lied to, repeatadly, for at least 3 decades.


  • Perceived value”

    Without that element, there would be no explanation for Marketing other than pure Brand Awareness promotion working (and McDonalds is definitely beyond needing more Brand Awareness, at least in the Developed World)

    Even then, it doesn’t explain a lot of how Marketing does its work (namelly the stuff they took from Psychology and use to do things like create associations between brand and specific feelings on people’s subconscious - you know, the way cars are “freedom” and perfumes are “sex”).

    And don’t get me started on other techniques that prey of human cognitive weaknesses (for example, FOMO would not work with the fabled Homo Economicus that underpins so much of Free Market Theory)

    Anyways, a ton of present day enshittification (and that includes this kind of price inflation) relies on people having a well entrenched positive perception of a brand after years of having a relationship with it (i.e. chosing it as customers) and there being quite a lot of momentum behind it. It also relies a lot on using a “slow boiling” effect to keep people from spotting the full picture of the changes.


  • I literally have two machines running on always on VPNs, one my personal PC and another a home server were a torrent service is running, and have no such problems.

    I think maybe the mistake you made was spending most of the time with it OFF and then turning it ON once in a while, whilst mine just goes ON as soon as I boot my machine and stays on.

    Granted, I’m not using it for getting around geo-locked websites, I’m using it for having a bit more privacy and for safety when sailing the high seas so once in a while I have the opposite problem (that I’m blocked from accessing sites in my own country because the connections appear to be coming from a different country).


  • They’re deemed “lossless” because there are no data losses - the word actually comes from the broader domain of data handling, specifically Compression were for certain things - like images, audio and video - there are compression algorithms that lose some information (lossy) and those which don’t (lossless), for example JPEG vs PNG.

    However data integrity is not at all what your average “audiophile” would be talking about when they say there are audio losses, so when commenting on what an non-techie “audiophile” wrote people here used that “losslessness” from the data domain to make claims in a context which is broader that merelly the area were the problem of data integrity applies and were it’s insuficient to disprove the claims of said “audiophile”.


  • My point being that unlike the misunderstanding (or maybe just mis-explanation) of many here, even a digital audio format which is technically named “lossless” still has losses compared to the analog original and there is no way around it (you can reduce the losses with a higher sampling rate and more bits per sample, but never eliminate it because the conversion to digital is a quantization of an infinite precision input).

    “Losslessness” in a digital audio stream is about the integrity of the digital data itself, not about the digital audio stream being a perfect reproduction of the original soundwaves. With my mobile phone I can produce at home a 16 bit PCM @ 44.7 kHz (same quality as a CD) recording of the ambient sounds and if I store it as an uncompressed raw PCM file (or a Wav file, which is the same data plus some headers for ease of use) it’s technically deemed “lossless” whilst being a shit reproduction of the ambient sounds at my place because the capture process distorted the signal (shitty shit small microphone) and lost information (the quantization by the ADC in the mobile phone, even if it’s a good one, which is doubtful).

    So maybe, just maybe, some “audiophiles” do notice the difference. I don’t really know for sure but I certainly won’t dismiss their point about the imperfect results of the end-to-process, with the argument that because after digitalization the digital audio data has been kept stored in a lossless format like FLAC or even raw PCM, then the whole thing is lossless.

    One of my backgrounds is Digital Systems in Electronics Engineering, which means I also got to learn (way back in the days of CDs) how the whole process end to end works and why, so most of the comments here talking about the full end-to-end audio capture and reproduction process (which is what a non-techie “audiophile” would be commenting about) not being lossy because the digital audio data handling is “lossless”, just sounds to me like the Dunning-Krugger Effect in action.

    People here are being confidently incorrect about the confident incorrection of some guy on the Internet, which is pretty ironic.

    PS: Note that with high enough sampling rates and bits per sample you can make it so precise that the quantization error is smaller that the actual noise in the original analog input, which de facto is equivalent to no losses in the amplitude domain and so far into the high frequencies in the time domain that no human could possibly hear it, and if the resulting data is stored in a lossless format you could claim that the end-to-end process is lossless (well, ish - the capture of the audio itself into an analog signal itself has distortions and introduces errors, as does the reproduction at the other end), but that’s something quite different from claiming that merely because the audio data is stored in a “lossless” format it yields a signal as good as the original.


  • Strictly speaking, as soon as an analog signal is quantized into digital samples there is loss, both in the amplitude domain (a value of infinite precision is turned into a value that must fit in a specific number of bits, hence of finited precision) and on the time domain (digitalization samples the analog input at specific time intervals, whilst the analog input itself is a continuous wave).

    That said, whether that is noticeable if the sampling rate and bits per sample are high enough is a whole different thing.

    Ultra high frequency sounds might be missing or mangled at a 44.7 kHz sampling rather (a pretty standard one and used in CDs) but that should only be noticeable to people who can hear sounds above 22.35kHz (who are rare since people usually only hear sounds up to around 20kHz, the oldest the person the worse it gets) and maybe a sharp ear can spot the error in sampling at 24 bit, even though its miniscule (1/2^24 of the sampling range assuming the sampling has a linear distribution of values) but its quite unlikely.

    That said, some kinds of trickery and processing used to make “more sound” (in the sense of how most people perceive the sound quality rather than strictly measured in Phsysics terms) fit in fewer bits or fewer samples per second in a way that most people don’t notice might be noticeable for some people.

    Remember most of what we use now is anchored in work done way back when every byte counted, so a lot of the choices were dictated by things like “fit an LP as unencoded audio files - quite luterallyplain PCM, same as in Wav files - on the available data space of a CD” so it’s not going to be ultra high quality fit for the people at the upper ends of human sound perception.

    All this to say that FLAC encoded audio files do have losses versus analog, not because of the encoding itself but because Analog to Digital conversion is by its own nature a process were precision is lost even if done without any extra audio or data handling process that might distort the audio samples even further, plus generally the whole thing is done at sampling rates and data precision’s fit for the average human rather than people at the upper end of the sound perception range.


  • In my own Portugal, which is a very turistic country and also towards the bottom of the GDP-per-capita scale in the EU, things that would likely work very well would also be:

    • Crack down on AirBnB
    • Forbid ownership for non-residents.

    Portugal currently has a massive house inflation problem (extra massive, because of how low average incomes are here) and a lot of it has to do with residential housing being removed from the housing market and turned into short term turist lets (for example, over 10% of housing in Lisbon has been turned into AirBnB lets) and foreign investors (not just big companies but also individuals, such as well off pensioneers from places like France) pulling prices up by being far less price sensitive than the locals as they’re buying residential housing as investments having far more money available than the average Portuguese.

    Having lived in both Britain and Portugal during housing bubbles, what I’ve observed was that the politicians themselves purposefully inflate those bubbles, partly because they themselves are part of the upper middle class or even above (especially in the UK) who can afford to and have Realestate “investments” and hence stand to gain personally (as do their mates) from Realestate prices going up and partly because the way Official GDP (which is supposedly the Real GDP, which has Inflation effects removed) is calculated nowadays means that house price inflation appears as GDP “growth” since the effects of house price increases come in via the “inputted rent” mechanism but the Inflation Indexes used to create that GDP do not include house price inflation, so by sacrificing the lives of many if not most people in the country (especially the young, for example the average age for them to leave their parent’s home in Portugal is now above 34 years old and at this point half of all University graduates leave the country as soon as they graduate) they both enrich themselves and can harp in the news all about how they made the GDP go up.

    All this has knock on effects on the rest of the Economy, from the braindrain to shops closing because most people have less money left over after paying rent or mortgage plus the commercial realestate market is also in a bubble so shops too suffer from higher rents, but all this is slow to fully manifest itself plus those who bought their houses before when they were cheaper don’t feel it as much as the rest and generally can’t really link the more visible effects (such as more and more empty storefronts) to realestate inflation, much less deduce the effects from the house-inflation-linke braindrain on their pensions in a decade or two.