It is almost cliche for inexperienced, yet still proficient, Data Scientists to enter a new data environment and find things that are 'wrong' or 'inefficient', and make a big noise about it. Then more experienced Data Scientists will explain why what they found is actually 'correct' and/or...2/ - ThreadSky

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mornba.bsky.social • 1 day ago

It is almost cliche for inexperienced, yet still proficient, Data Scientists to enter a new data environment and find things that are 'wrong' or 'inefficient', and make a big noise about it. Then more experienced Data Scientists will explain why what they found is actually 'correct' and/or...2/

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mornba.bsky.social•1 day ago

even if not 'optimal', only a trivial issue and a lot better than most alternatives or too disruptive for the entire system if it was to change. The cost/benefit had already been evaluated and deprioritized for bigger fish to fry. More experienced Data Scientists know that when entering...3/

mornba.bsky.social•1 day ago

a new data environment, they need to take a decent chunk of time to learn about it before drawing any conclusions. That process can take at least a couple months before they start even asking questions worth answering in detail. They know that many hands had built the system and it has its... 4/

mornba.bsky.social•1 day ago

own complex logic. Major issues are almost certainly already known and being addressed by someone. And those that are not usually, but not always, have a good reason behind them... 5/

mornba.bsky.social•1 day ago

Basically, these guys, or at least Musk, are rookies at handling complex data structures. From an apolitical standpoint, they should first practice learning on something less consequential.
From a 'lets get real' standpoint. Musk is a megalomaniacal a**hole that should get thrown out on his rear.

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