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Joined 3 years ago
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Cake day: December 1st, 2023

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  • The Gen Z stare is simply the rational response in dealing with customer facing situations where either 1. the customer is problematic, or 2. if the worker genuinely doesn’t know what what to do.

    Responding or engaging to problematic customers (racist, homophobic, misogynistic) can only lead to conflict, reprimand, or lawsuits.

    Responding with inaccurate information or simply saying leads to conflict, reprimand, or poor reviews.

    Both have worsened as people have become more polarised, and management cuts funding and hours for training.



  • Unfortunately this is an increasingly unviable strategy, because even “good” creators have started using clickbaity titles and thumbnails, even if their content has remained the same. Some have even retroactively changed the titles/thumbnails of their older videos to this style.

    Clickbait is engineered by behavioural scientists to be as addictive as possible, and has been proven to trigger similar neural pathways to other addictions, such as drug or gambling.

    Basically every creator with a shred of self awareness has admitted that they hate creating clickbait thumbnails, titles, and phrases like smash that like button and subscribe; they end up doing it anyway because A/B testing with randomised thumbnails and titles clearly show that they work.

    The live A/B testing in particular obscures whether a creator employs clickbait or not - you may be under the impression that a certain creator has remained principled, when in reality you were just allocated to the control group by chance.

    I feel that it’s one of those situations where the game is rigged, and the only way to “win” is to change the rules yourself.








  • I don’t think the any interaction definition is too broad at all. Primitive forms of social media such as mailing lists and forum threads form are very similar in functionality to simply following hashtags, or I guess whatever the algorithms suggest.

    The distinction using account based versus conversation/thread based is not too helpful, because the majority of users of modern social media don’t really use it to follow accounts, with the majority of their time is spent doomscrolling generic hashtags or algorithm recommendations.

    The similarities are easier to see if you think of how people actually used these technologies in their daily lives. Pre Facebook, people would log in and refresh their Usenet, emails, and forums threads to keep in touch with friends and interests. Post Facebook, people would log in and refresh Facebook/Insta instead.




  • Physical Vs chemical changes.

    It was typically taught that physical changes are differentiated from chemical changes because they could be “undone” or that they had “no chemical reaction.” Which was very confusing, because you can’t uncut paper, and dissolving stuff in water clearly results in different chemicals being produced, yet both were examples of physical changes (actually the latter is sometimes taught as a chemical change). Furthermore, most chemical changes are actually reversible.

    It has since been recognised that this classification is BS, and most changes actually exist on a continuum.


  • Shoshana Zuboff really was ahead of its time. So many people who were privacy conscious and therefore thought they were clever by simply thinking that Google makes money by only selling your data completely missed the scale of manipulation and control big tech has (myself included).

    Google/big tech doesn’t sell your data. Google/big tech sells advertisers predictions of your behaviour, a highly refined, processed version of your data. Advertisers cannot purchase your data, only “impressions” or “views.” In an extra sinister twist, Google/big tech then uses it’s resources to manipulate you in ways such that their predictions become true.

    This is why their predictions are the best, because after making them, they have a financial incentive to manipulate them into being true. It is why we naturally see more and more polarization, because after Google has sold the prediction that you will engage is a specific type of content (e.g. right ring rabbit holes), it is financially incentivised to make that a reality, and therefore further push you in that direction, to make their prediction true.

    How to “improve” prediction using behavior modification - ScienceDirect - https://www.sciencedirect.com/science/article/pii/S0169207022001066