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WIP video about Networks - Kindly Requesting Feedback (Patreon)

Published:
2025-09-27 08:52:11
Imported:
2026-06

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  • 539044792.mp4

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DEADLINE FOR FEEDBACK 29/09 - 1:00 PM UK TIMEWe've got an exciting video coming out very soon!We’d love to hear your feedback and suggestions as we wrap up this video all about Networks!It's rough around the edges as we still need to shoot some MOTS (Man on the street) and finish final anims etc. but as always we appreciate you watching and reviewing this cut!Is there anything wrong? Any other questions? Anything more you'd like to see? Explanations you think don't do a good enough job or lack depth? Let us know!

Thank you so much!-Team Ve

Comments

Holger Wolff

At around 11:45 there seems to be a bad cut. You start describing the next section before the current section has finished.

Christian Leichsenring

Italian and German pronounce the z like in pizza and nazi. As most people implicitly know but promptly forget when it comes to any other word in these languages. So the newspaper is pronounced "tseit" not "zeit". The "die" and the "ei" were pronounced correctly though, props for that. No, not worth a reshoot but, you know, next time.

Christian Leichsenring

General remark, I wish you forgot everything you learned when making documentaries for TV networks and made YouTube videos again. I don't know how you'd do that though. Maybe some heavy drinking or hard drugs?

Christian Leichsenring

I know you want to rush the explanation of the Prisoners Dilemma because everybody and their mom already knows it but as it is in the video, it's maximally confusing to anyone who doesn't. A chest? Points? Prisoners? What's the scenario here exactly?

Christian Leichsenring

I'm confused. I thought it depended on the shortcut rate whether people cooperated. What's different between those earlier results and the ones presented at the end of the video?

Mike Mitchell

I doubt very much I have ANY degree of connection to an aborigine in the Amazon basin who has never been contacted by the outside world. I'm sure most of those connections are ONLY local clusters. So the Small World hypothesis depends completely upon breaking geographic isolation boundaries, something that rarely happened in the old world. For instance, there would have been an extremely low likelihood of any small world connection between the indigenous people of the Americas and a poor dirt farmer in pre-Columbian days. It's also unlikely that anyone on earth has a small world connection to Grok, that famous guy on a world in the habitable zone in the Alpha Centauri cluster. So the Small World depends on random connections that cross natural boundaries. And that's how I've always thought about it. Now I'll finish listening to the video, because I'm sure you point that out. ;)

John Cox

Afterthought: - Can persuasion be modeled as a small world network between correlations? True, one correlation does not imply causation, but persuasions always seem to be a convincing series of correlations so that multiple correlating links are created. Not sure I like this idea. Feedback: @1:36 "anything malevolent now has conduits that it didn't used to have" If we make the world more connected, surely people will know each other and wars will end. Just like making nitroglycerin safer. @9:33 paper Reference? Note: I'd like to find out what "KBG" is in the figure title, but I'm having trouble finding the paper. Googling shows either a genetic disorder or autocorrects to soviet secret police. @10:32 "73 days" Are you accounting for Madagascar? If you haven't played Plague, Inc, nm. @14:50 Could you interview a data analyst at Incogni? I'm wondering if personal data propagation through data brokers benefits from small world networks. Seems like a relevant ad. @16:51 "because they resembled the hub of a bicycle wheel" Video not showing a bicycle wheel. @18:58 "screen saver" Yes please. @27:37 "the public goods game" Can we get a rules summary and how it differs from the prisoner's dilemma? The small world prisoner's dilemma was a negative outcome and got a rules breakdown with animation, but the small world public goods game (positive counterclaim) did not have placeholders for either. Audio: @11:41 "need less than one percent" Audio: Accidental insert? 0.1sec @11:54 "ranked the 63rd" Audio: Misalignment with video, about 4 seconds early. Video showing rank 63 doesn't show until ~4 seconds later. @17:21 unintelligible Audio: Sounds like "but the girls". Hope your subtitles are prepared to clarify. Thought experiment: - Modify the prisoner's dilemma by having a defection also increment an animosity counter - The animosity counter modifies the opponent's behavior by increasing the likelihood of defection (thereby increasing the likelihood of only gaining 1 point instead of 5) - Cooperation would decrease the animosity counter by 1, regardless of the actions of the opponent

Ronan Mandra

Just some thoughts: Overall, please answer if any of our comments will change your already filmed video? Some thoughts: 1. If you want a review, give us more time to do it. We effectively had less than two days to support your request. 2. You talk about clustering as if it’s obvious. I have an intuitive grasp, but a definition and example would greatly help. 3. Give more thought to how the Prisoner's Dilemma is presented, as you rushed through it, as also pointed out by Christian, below. 4. Include a timestamped transcript like those on YouTube. 5. Run your transcript through an AI, asking it to report on clarity, truths, and errors. 6. Provide links to the various articles referred to in the video that are downloadable. 7. What sim program did you use? I want to run it also. 8. At the 24:00 minute mark in the video, you verbally state a play against one opponent while showing many opponents, which is confusing coming off a one-versus-one scenario. 9. At the 31:43 point, you state that the choice of players means cooperation flourishes. How about the leftover non-cooperators? Here is the Gemini AI Review based on a transcript I created from your video. Gemini: Of course. Here is a review of the provided text from the Veritasium video on networks, focusing on clarity, truths, and errors. Overall Assessment The text provides an excellent and engaging overview of several fundamental concepts in network science. It successfully translates complex academic ideas (from sociology, mathematics, physics, and computer science) into understandable narratives using compelling examples. The clarity is generally high, and the core scientific truths are well-represented. There are a few minor errors and oversimplifications, but they do not detract from the overall quality and educational value of the piece. ________________________________________ Clarity The text is exceptionally clear for a general audience. It employs several effective strategies: • Storytelling: It begins with a relatable story (connecting a falafel salesman to Marlon Brando) to introduce the abstract concept of "six degrees of separation." • Analogies: It uses simple analogies, like people arranged in a circle, to explain complex network topologies (clustered vs. random). • Concrete Examples: It grounds abstract concepts with real-world examples, such as the Kevin Bacon game, the C. elegans nervous system, Chicago O'Hare airport, and HIV prevention strategies. This makes the implications of network structure tangible. • Visual Language: The description of the simulations ("wiggle around and like find their location") helps the reader visualize the dynamic processes being discussed. ________________________________________ Truths (Key Scientific Concepts Covered) The video transcript accurately covers several foundational truths of modern network science: 1. The Small-World Phenomenon: The core idea that most people in a large network can be connected through a surprisingly short chain of acquaintances is true. This was famously explored by Stanley Milgram in the 1960s and is often referred to as the "small-world problem." 2. Clustering and Path Length: The text correctly identifies the two key features of real-world social networks: high clustering (your friends are likely to know each other) and short average path length (the "six degrees" phenomenon). 3. The Watts-Strogatz Model: The explanation of how a few random "shortcuts" can drastically reduce the average path length of a highly clustered network is an excellent summary of the seminal 1998 "small-world" model by Duncan Watts and Steven Strogatz. The statement that just 1% of shortcuts can drop the path length by over 80% is consistent with their findings. 4. The Strength of Weak Ties: The text correctly connects the "shortcuts" in the network model to the sociological concept of "weak ties," popularized by Mark Granovetter. These acquaintances act as bridges between different social clusters, providing access to novel information and opportunities. 5. Scale-Free Networks and Preferential Attachment: The description of hubs and the "long tail" distribution of links is a good introduction to scale-free networks. It correctly identifies the two key mechanisms of the Barabási-Albert model: growth (the network expands) and preferential attachment (new nodes are more likely to link to already well-connected nodes). 6. Hub Vulnerability: The text accurately portrays a key property of scale-free networks: they are robust against random failures but highly vulnerable to targeted attacks on their hubs. The example of the O'Hare airport shutdown causing cascading failures is a perfect illustration of this principle. 7. Network Structure and Cooperation: The discussion of the Prisoner's Dilemma on networks is accurate. Research has shown that in clustered networks, cooperators can survive by forming groups, whereas in more random networks, defectors can more easily exploit and dominate. The insight that online environments can resemble random networks and thus discourage cooperation (the "keyboard warrior" phenomenon) is a valid and interesting application of this theory. --------------------------------- Other Comments -- Errors? 1. Oversimplification of Network Models: o The video presents the Watts-Strogatz (small-world) and Barabási-Albert (scale-free) models as the primary ways to understand networks. While foundational, network science has undergone significant evolution. Real-world networks often exhibit properties of both models and other complex features not captured by them. o The statement that preferential attachment naturally leads to the hub-and-spoke structure is true, but the text rightly adds the nuance that it isn't the only mechanism. This is an important qualification. 2. Causality in Cooperation: The text explains that in Duncan Watts's experiment, network structure seemed to have no average effect on cooperation because clustered networks were prone to tipping to either all-cooperation or all-defection. This is a subtle but crucial finding. The video handles this well, but could have emphasized that while the average outcome was the same, the volatility and predictability of behavior were vastly different depending on the network structure. A clustered world is a more fragile, "all-or-nothing" world.

Charles S. Cook

Another informative video! Thank you! At about 11:42 there is an interruption that might be better edited out. This story seems to hint at an idea that I have, and that is that we do not yet understand how to live and thrive with "social media". Sometimes it is an echo-chamber of comments for all the reasons that this video states. Your advice on seeking positivity is encouraging in that we might figure out how to turn off the screens and live a little. Thank you!

Kat Seibert

I liked the video but some how it felt like 3 or so networking videos that did not tie together very well. My response is an over all feel. I think Ronan M with the help of AI does a good job of giving you a very detailed review, (Interesting use of AI). His review I think says the video needs to be much longer or maybe broken into more pieces?

Gnare

@12:05 - "almost 4 times" should really be "3 times" - unless the graphic is incorrect (graphic shows 20k -> 57k ) @15:43 saying "the web, too" sounds like "web two" (which is after this time period you're talking about) -- I would use "also" instead .. but this is verging on a nit-pick ;)

Timothy-Douglas Alvey

I would find it really helpful if each person (including yourself) had a “name tag” on screen (long enough to read) as they are introduced. BTW, this show wasn’t “my thing” when it started, but I watched all and enjoyed it a lot. I will be watching it several more times too. My pastor is also an account with a major international company (he’s a “ numbers guy”) and a “hub”. I think he”ll enjoy it! Sorry if there are mistakes here; my iPhone only displays one line of text at a time.

Michael G Rourke

Excellent, informative, eye opening; a new nugget to think about. Also, Dr. Strogatz is a great math n science communicator. This content was captivating. Go with it.

Lionel Pöffel

Nice video. One general thought I had was that in the real world of human connections, what leads to a small network is not just the flat "small network" effect, but also the hub effect mentioned later in the video. After all there are "multipliers" in society who tend to know more people across more diverse networks. At 31:28 it is mentioned that "Watts ran experiments where players could decide who they play with". Unfortunately the results of these experiments aren't presented in the rest of the video. Production topics: 11:42 overlap of sound bits between different scenes

Paul Weiss

I wonder how the influence of evangelists can be included in the models. I don't mean religious evangelists, but don't intend to exclude them either; the fact is that some people, by proclivity, by the strength of their beliefs or clarity of vision, by their willingness to play others as patsies, or simply by their eloquence and persuasive powers, are unequal (and favored) participants in any communications game. (I know that the list I just wrote is not comprehensive.) But for social networks, how do we model the presence of powerful individuals beyond nodes and edges?

Beth

Excellent

Liam

At 11:42 out of nowhere Derek Just says ing.

Kate Proctor

As someone who pays to be here, I was a bit miffed to have to sit through the paid advertisement...