1,465 karma · joined October 4, 2011
[ my public key: https://keybase.io/benmanns; my proof: https://keybase.io/benmanns/sigs/JFJN7xRYb-_qIdTe8VkPTshHZSbPBUzdgVlxWuzcDe8 ]
Oh, and I don’t find myself actually implementing any of these very often or knowing that they are in use. I occasionally use things like APPROX_COUNT_DISTINCT in Snowflake[1], which is a HyperLogLog (linked in the Wiki).
[0]: https://en.wikipedia.org/wiki/Category:Probabilistic_data_st...
[1]: https://docs.snowflake.com/en/sql-reference/functions/approx...
[0]: https://hydrogen.shopify.dev/
[1]: https://shopify.dev/docs/api/storefront/latest
With enough forewarning, suppliers could anticipate the increased demand and prepare for it.
Regenerative braking in cars also keeps a lot of brake dust out of the air. A pair of brake pads lasts about as long as the life of an EV.
Otherwise, you’re right. We’re upsetting the balance of a very complex, very important system and causing a regressive tax in the form of price increases.
There really should be a better eBook specific authoring system. Ideally with importing from the print document, as that's the canonical version. It's just a website, after all, and we have great tools for building those.
To be honest, even as a participant and enthusiast, I’m not sure how useful or accurate it is. I can push the prediction by 13 years with $1 worth of Manifold currency.