Joined the Mayqueeze.

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Joined 3 years ago
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Cake day: June 12th, 2023

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  • Strange New Worlds is en exercise of writers writing themselves into exceedingly narrow corners if in the end they want to connect to TOS. They had a descendant of Khan on the crew, half the crew dated her, yet none of that comes up when they meet the actual Khan. I wonder how they will connect that story point.

    During the wedding episode, nobody sees Trelane as Trelane. They see other people he inhabits. In the daily soap ep, only Pike sees him, and he isn’t around later. So they kind of got that right, I think.

    The first coherent space opera was Babylon 5 where one creative mind oversaw everything and in the end wrote all the scripts. The reboot Galactica is another example. You could tell The Expanse was all made up by these two guys. I’m sure I’m forgetting something, a Stargate possibly. But Trek and also Doctor Who all change with their changing writers and over the decades. There are periods where certain people are in charge and there is stability in story and focus. But then their tenure ends and somebody else comes in. And if it all made sense and everybody loved it the same way we’d have nothing to bitch about.






  • The further into the future you are trying to predict the weather, the more the reliability drops. The last time I heard a meteorologist talk about it, it was 5 days into the future for a specific location. Anything more than that was as reliable as reading tea leaves. You can say it’ll rain in Asia 10 days from now but you cannot say with any certainty it’ll rain in this village.

    The climate which we ruined will provide us with punishment. Warmer oceans will give us stronger tropical storms. But they’ve gotten pretty good at detecting and outlining their likely paths. That sort of predicting is likely to improve with more storms and more data. Another suitable punishment is torrential train causing flash flooding. In the places with good satellite cover, they can see that and warn people with an hour’s lead time or thereabouts. The time span is short but the prediction accuracy is good.

    We as consumers are not good judges of the weatherpeople. We look at our phones and form an opinion. But we don’t investigate where the data came from, which LLM may have added its hallucinations, and what other corners may have been cut to get us this information, which we don’t pay for. So we see it’s pissing down outside, the forecast was for blue skies, ergo the weatherpeople are getting worse at their job. When it is more likely the quality of the free data declined or somebody asked ChatGPT and Claude.