Science Memes
Welcome to c/science_memes @ Mander.xyz!
A place for majestic STEMLORD peacocking, as well as memes about the realities of working in a lab.

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- Don't throw mud. Behave like an intellectual and remember the human.
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- Infographics welcome, get schooled.
If you are here asking: "Is this a science meme?"
Probably, yes. We use the Dawkins definition of meme: a replicating idea, not just an image macro with a fact on it. A good post here doesn't need to teach you something. It needs to make you ask something: who, what, where, when, and especially why or how.
Science isn't a filing cabinet of facts, it's a conversation. For example, a photo of an eel or other localized wildlife counts because most people never see one, and wonder is the first step of inquiry. A car meme counts if it makes you curious about what's under the bonnet. If you want to talk about something you noticed in the world, chances are someone else wants to talk about it too.
We moderate for vibe, not category. Pruning is light, especially where a post creates interesting discussion. Experimenting is encouraged.
See the pinned paper on Shitposting as Public Pedagogy if you want the academic case for why this works.
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Memes
Miscellaneous
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Scientific American points to an important fact.
"With our latest surveys, such as the Dark Energy Spectroscopic Instrument (DESI) and Euclid, by my very rough estimation, we’ve taken pictures of somewhere around 100 million galaxies out of the two trillion or so estimated to exist in the entire observable universe.
Shamir’s paradigm-shattering conclusion relies on 263 of them."
They are discussing bias in the selection.
"Unfortunately, this kind of extreme selection introduces many opportunities for bias to creep in. When we test a new idea in cosmology—indeed, in all of science—we work to make our conclusion as robust as possible. For example, if we were to change any of these filtering steps, from the selection of survey region to the threshold for deciding whether to include a galaxy in the analysis, our results should hold up or at least show a clear trend where the signal becomes stronger. But there isn’t enough information about such methodological checks in Shamir’s paper to make that judgment, which casts doubt on the validity of the conclusions."