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Joined 2 years ago
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Cake day: June 22nd, 2023

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  • I think the words were used not just by different generations, but also different level of users.

    As someone who was around and heavily involved in tech during the bbs days, then walled garden services, then internet forums, THEN social networking and media, I agree not with you but with the prior comment.

    The dictionary definitions are rewriting history based on a word that hadn’t even been coined yet. They created a definition which retroactively lumped nearly the entire internet under that term. It’s incorrect and unhelpful to do so.

    However, given that language changes and us old geeks don’t make the rules, “social media” now indeed includes the entire internet. I can’t argue with the dictionary, but I can explain the reasoning behind my disagreement with the term. I think that’s the same the last person was saying.

    The majority of humans weren’t on the internet before social media. So that’s all they know.





  • Sure if we started the whole tax thing today we may do it different. But it’s culture created over time. Our sales taxes all started during and shortly after the Great Depression in the 1920s. I’m sure store owners likely preferred people realize what they were charging vs the govts take. This is why I like it now. It’s very clear what the govt is taking and what the store is charging. It doesn’t bug me at all to have it added on at the register. It’s all I’ve known for 40 years. Currently I even live in a state with no sales tax (recently moved here), but I’m in a small tourist town that implemented a “resort sales tax” of 1% to help pay for city services related to tourism.








  • I thought that word might bug someone.

    It’s not just a distributed hash table. That’s not a trustless cache. It’s Byzantine fault tolerant. Trustless.

    It combines game theory with distributed hash tables and makes them irreversible.

    And yes, even satoshi himself was upset he couldn’t get the anonymity perfect. Great strides in other chains to do that, and zk stuff for confidential activity.

    Look, it’s not for everyone. It’s not for you obviously. But it’s a breakthrough for sure - tech, science, whatever category you want.

    It’s the first time man created a system that can’t be reverted. That’s a big deal.



  • Clickhouse has a unique performance gain when you have a system that isn’t operational data that is normalized and updated often. But rather tables of timeseries data being ingested for write only.

    An example, stock prices or order books in real-time. Tens of thousands per second. Clickhouse can write, merge, aggregate records really nicely.

    Then selects against ordered data with aggregates are lightning fast. It has lots of nuances to learn and has really powerful capability, but only for this type of use case.

    It doesn’t have atomic transactions. Updates and deletes are very poor performing.



  • I used to agree, but recently tried out Clickhouse for high ingestion rate time series data in the financial sector and I’m super impressed by it. Postgres was struggling and we migrated.

    This isn’t to say that it’s better overall by any means, but simply that I did actually find a better tool at a certain limit.