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I assume OP watched this excellent Veritasium video about Markov and his chains [0] and posted this article which was referenced in that video. [0] https://you
by satvikpendem 1y ago
I assume OP watched this excellent Veritasium video about Markov and his chains [0] and posted this article which was referenced in that video.
[0] https://youtu.be/KZeIEiBrT_w https://youtu.be/KZeIEiBrT_w
- Alifatisk 1y agoYou nailed it, I wanted to post the actual article but found that they where behind a paywall, and I don't know if pirated content is allowed to share here but it's definitely worth a read though!
- danlitt 1y agoIt is often not piracy to find open copies of papers; the authors often publish them directly (on their personal pages or on arxiv). A commenter further down found a public link: https://math.uchicago.edu/~shmuel/Network-course-readings/Markov_chain_tricks.pdf https://math.uchicago.edu/~shmuel/Network-course-readings/Ma...
- denverllc 1y agoYeah, most authors are not concerned about their papers being shared because what they care about is citations, not money. It’s the publishing companies that want to put up the paywall (and the ones who would make any money from it anyway).
- mapontosevenths 1y agoI assumed he read the Illuminatus! Trilogy and wondered where Markoff Chaney's name originated... There might be something wrong with me, now that I think about it. /s
- reverendsteveii 1y agoThat's where I first learned about them. NO SMOKING. NO SPITTING. MGMT
- baxtr 1y ago3.4 Mio views in 4 days. Wow…
- stronglikedan 1y agoVeritasium is quality content. Those eyes don't hurt nothing either.
- tbalsam 1y agoThey unfortunately recently (last few years) sold out to private equity (which tends to glaze over fundamentals and tries to pump out massive content using previous brand quality to give it credence), so beware of quality in more recent vids: https://youtu.be/hJ-rRXWhElI?si=Zdsj9i_raNLnajzi https://youtu.be/hJ-rRXWhElI?si=Zdsj9i_raNLnajzi
- fn-mote 1y agoYesterday I was reading comments about how the market could pay for research and avoid the “distorting effects” of public funding. Is there any way to get a better outcome for the public here, or is “do good stuff then sell out” the way it’s always going to be?
- edwardbernays 1y agoWhat distorting effects of public funding? What about the distortionary effects of the market? I'll offer the suggestion that what you read is brainrotting private market propaganda designed to erode the public institutions that make America happier, healthier, and wealthier.
- tomrod 1y agoIn economics discussions regarding public funding policy, the concern of "crowding out" commercial firms or nonprofits is a real concern. It's definitely an observed, measured, and reported phenomenon. In the end, incentives matter. https://en.wikipedia.org/wiki/Crowding_out_(economics) https://en.wikipedia.org/wiki/Crowding_out_(economics)
- jgalt212 1y agoTop comment on the video gave me a chuckle. > I wonder if Markov chains could predict how many times Veritasium changes the thumbnail and title of this video.
- anitil 1y agoI think I remember he did a video explaining that changing the title and thumbnail gives a significant bump in views so that a video can become evergreen. CGP Grey mentioned doing this and hitting 1B total views years earlier than he expected
- jgalt212 1y agoYeah, I didn't think he was doing it for his health.
- 0xDEAFBEAD 1y agoHonestly a pretty bad video by Veritasium standards. Consider the nuclear reaction metaphor. It's clearly not memoryless. Eventually you'll run out of fissile material. The diagram for that example is bad as well. Do arrows correspond to state transitions? Or do they correspond to forks in the process where one neutron results in two?
- mrlongroots 1y ago> Consider the nuclear reaction metaphor. It's clearly not memoryless. Eventually you'll run out of fissile material. I think no real process is memoryless: time passes/machines degrade/human behaviors evolve. It is always an approximation that is found/assumed to hold within the modeled timeframe.
- 0xDEAFBEAD 1y agoSure but it's still the case that if you treat the reaction as memoryless, your model's predictions will be wildly wrong. It's not a good model in this case.
- mrlongroots 1y agoIt seems that most approaches treat neutron diffusion as memoryless (or at least stochastic): https://en.wikipedia.org/wiki/Neutron_transport https://en.wikipedia.org/wiki/Neutron_transport