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My Video Went Viral. Here's Why

92 videos recommended on HN
YouTube
2 HN users recommended this commentary2 months2019–2023 score 2
Years with an HN recommendation, 2007–2026

Cited in threads about recommendation algorithms and clickbait as a creator's inside view of why optimizing for click-through rate shapes content.

Veritasium's Derek Muller explains his hypothesis that YouTube's algorithm, not viewer preference, drives views, and that click-through rate has become the key metric. He argues this pushes creators toward clickable titles and thumbnails and leads to burnout.

“He actually made a great video a while ago explaining why professional Youtubers don't have much of a choice when it comes to clickbaiting” (HN, 2020)

2 recommendations · 15 citations · 1 critical · Commentary · partly dated

18 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@eins1234 Nov 2020 Recommends
on HN thread A Spacetime Surprise: Time Isn’t Just Another Dimension
Long time Veritasium subscriber here. He actually made a great video a while ago explaining why professional Youtubers don't have much of a choice when it comes to clickbaiting with titles and thumbnails, because it's the only way to reliably get lots of impressions and views and grow their channel: [this video] It made me gain a bit of empathy for creators using these tactics on Youtube and tolerate it as long as it's not being used to promote content that's devoid of any substance, which is pretty much never the case for Veritasium videos or any of the other educational channels I subscribe to.
Explains why professional YouTubers must use clickbait titles and thumbnails.
@jlokier Jul 2021 Recommends
on HN thread As lockdowns lift, media firms brace for an “attention recession”
Read more
This video from Veritasium goes into more about Youtuber burnout, self-blame, dynamics and the drive to non-platform revenue streams: [this video] If you find the apparent contradiction between Youtube success and creators needing to built out non-platform revenue streams strange, the video gives a pretty good theory explaining why. It's possible that a small number of creators are taking most of the revenue at any particular time, and the set of outstandingly successful creators keeps changing, which it might due to the promotion algorithm. That gives all of them reasons to build out non-platform revenue streams. I'm not saying Google/YouTube aren't taking too much. But hypothetically, even if they took 0% cut, the above could still happen.
Covers creator burnout and the push for non-platform revenue.

Citations, criticism and jokes

@v8engine May 2019 Cites it
on HN thread Gmail really wants me to say yes
Veritasium very recently spoke about algorithm optimizing for click through rate in the context of the bad. [this video] It seems okay in this case though.
Cited on algorithms optimizing click-through rate.
@rasz May 2019 Cites it
on HN thread Gmail really wants me to say yes
Let me Godwin it up >We're optimizing for click through rate. and so was Hitler in ~1923. Optimizing something that affects how other people act (same happens on YT Veritasium:My Video Went Viral [this video] ) leads to bad outcomes (radicalization, race to the bottom, catering to lowest denominator etc).
Cited as example of optimization leading to bad outcomes.
@eganist Jun 2019 Cites it
on HN thread YouTube’s Algorithm Incentivizes the Wrong Behavior
This seems like it takes some notes from Veritasium's theory on YouTube's recommendation algorithm which he posted after his initial reservoir shade balls video went viral. (edited for clarity) [this video] for his theory.
Veritasium's theory of the recommendation algorithm after a viral video.
@jdietrich Jul 2019 Cites it
on HN thread In Search of Lost Time on YouTube
Read more
Immediate counter-arguments: Most professional YouTubers complain about having to tailor their videos to suit the recommendations algorithms. Historically, many short videos were padded out to just over 10 minutes in order to reach the minimum threshold to insert a midroll advertisement; today, many videos are as long as possible to take advantage of the algorithmic prioritisation of view time over view count. There is widespread dissatisfaction with the recent necessity to use clickbait thumbnails and titles, due to YouTube's increasing weighting of click-through-rate. [this video] Most analysts believe that the high weight on view time is causing the YouTube algorithms to promote the kind of videos that their heaviest users watch . The problem is that these heavy users aren't representative of the general population - they're far more likely to be interested in conspiracy theories or extremist politics. [link] The vast majority of YouTube video views are as a result of algorithmic decisions by YouTube - what to show in the recommendations bar, what to prioritise on the home page, what to put at the top of search results. Those algorithms are not and cannot be neutral. These algorithms aren't just shaping which videos people watch; YouTube creators freely admit to tailoring the content of their videos to fit the recommendations algorithm.
Cited for creators tailoring videos to click-through-rate weighting.
@mxscho Jul 2019 Cites it
on HN thread YouTube faces creator backlash
What if YouTube just does the same, but the goal of the algorithm is not to maximize like/dislike ratios, but actual click-through rate and watch time? [1] It's an ad company after all. Also, the domain of TikTok videos seems very limited in comparison to YouTube videos, so your like-based algorithm might result in bad user retention with this broad strategy of showing random videos. So the question really is: If YouTube's algorithm is more sophisticated than TikTok's and TikTok is trying to do the same, would they still be as transparent about it? [1] [this video]
Footnote supporting YouTube optimizing click-through rate and watch time.
@mxscho Aug 2019 Cites it
on HN thread YouTube should stop recommending garbage videos to users
Read more
Regardless how to define what's garbage and what's not, YouTube seems to remove demonetized videos from recommendations. Since I don't think that good content is always necessarily advertiser-friendly, a lot of good videos are just not getting any attention because a few big companies decided that they're not helpful to market their products. Example: Historical or educational videos which are about controversial topics or just have the word "war" in their title. Basically, their recommendations algorithm favors profit from advertising over personalized recommendations because it seems to be designed to maximize click-through rate and watch time for videos with many ads. [1] [1] [this video]
Footnote supporting recommendations maximizing click-through and watch time.
@ammar_x Jul 2020 Cites it
on HN thread Analysis of all YouTube trending videos in US for 2019
Read more
Can't agree more except for the long-videos thing. The way YouTube works now encourages clickbait crying-for-a-click titles and silly-shocked-faces thumbnails because click-through-rate plays a huge role in video success now. In his video [0], that youtuber explains that and why he was going to shift toward using clickbait titles in his channel. Because otherwise, you would not thrive on YT. For long videos, I think sometimes even 10 minutes are not enough to convey a substantial message in a video. But I think you mean those youtubers that prolong their videos longer—without added value—just for more ads. [0]: [this video]
Creator explains why he shifts toward clickbait titles to thrive.
@clouddrover Mar 2021 Cites it
on HN thread YouTube and Patreon Still Aren’t Paying the Rent for Most Creatives
> The way most entertainers get known is just through sheer luck or connections. Derek Muller has a couple of videos talking about the success of his Veritasium YouTube channel (and work, luck, and success generally): [this video] [link]
Derek Muller discusses success, luck and work behind his channel.
@TchoBeer Aug 2021 Cites it
on HN thread Clickbait is unreasonably effective [video]
The Veritasium channel does this with all its videos; it lets Derek test which thumbnail/titles are effective and which aren't. He talks about it in this video [this video] at about the 15:50-16:00 mark
Veritasium discusses thumbnail and title testing near 15:50.
@rramadass Oct 2021 Cites it
on HN thread Ask HN: Whatever happened to exploring the internet?
Read more
You Sir, are a Gentleman and a Scholar :-) >Now everything on the internet is "content," a hyper optimized form of human intellectual output that is devoid of art, minimal on information, excreted instead of created, measured to the lowest common denominator, monetized yet worthless, just enough bait on the hook for the next lizard brain click. I could not have said it better myself ! The Internet has become a place to publish/share every trivial thought that has ever popped into every mediocre mind. There is no self-regulation/self-censoring anymore. The Noise is just overwhelming and it is extremely mentally fatiguing just trying to get at any kind of Signal. You just give up and start numbing your mind with all the junk available. PS: Here is Veritasium explaining the insidious effects of "Youtube Platform" Algorithms - [this video] Now extrapolate the same idea to other dominant platforms like Facebook, Google etc. and you realize that "The Internet" has become a platform for Expression and not necessarily Information. PPS: The book Networked Life: 20 Questions and Answers by Mung Chiang gives an inside algorithmic view of how the above platforms work.
Offered as explanation of platform algorithm effects.
@spion Jan 2022 Cites it
on HN thread Censorship by Algorithm Does Far More Damage Than Conventional Censorship
Read more
This article is only half-right. Some of the other things you don't see because the algorithm doesn't promote them are: - scientists and educators that make 1 hour long videos to explain how something is incorrect. Example: [link] (less than 0.1% reach of the original) - long threads of detailed analysis with cross-references - long educational material that explaines e.g. confounders in order to explain why some statistical results observed are not possible to interpret in a certain way The reason you don't see this kind of content is simple: the level of its engagement is low. Its not clickbaity, its not exciting, it doesn't have a rebel perspective, it doesn't claim to uncover something nobody has ever seen before. Its often kind of a downer too, pointing out other people's mistakes. Social media sites make their money through engagement. The longer you stay on their site, the more ads they can show you. As such, their default algorithms promote engagement at any cost . It turns out that this trains creators to spread clickbaity, potentially misleading, false but exciting and novel "information" (see paper [1] as well as Veritasium's youtube specific explanation [2]) You know what other thing spreads a lot? Outrage. Extreme reactions to spread of misinformation are also engaging. People will fight over them due to strong feelings: one side frustrated by seeing the effort put into debunking having absolutely no effect (because it doens't get promoted by the algorithms, nobo
Cited for YouTube-specific explanation of engagement incentives.
@spion Jan 2022 Cites it
on HN thread Royal Society cautions against censorship of scientific misinformation online
Read more
Just like we recognized tabloids for what they were, we need to recognize social media for being the same phenomenon disguised in a "grassroots" cloak (i.e. crowdsourced tabloids) There is nothing organic about the speech that happens on YouTube. Veritasium explains the shift that happened when youtube switched to an algorithmic model from the subscriber model: [this video] - you need to carefully manipulate people to click your thumbnail based on the picture and the video title. Making outrageous but believable shit up to sensationalize your content is a well known tactic of tabloids (which does continue today to some extent). YouTube and other social media incentivise exactly that.
Explains shift from subscriber model to algorithmic thumbnail manipulation.
@shortcake27 Jun 2023 Cites it
on HN thread DeArrow – Solving Clickbait on YouTube
Veritasium has a video about this and I’ve seen other creators like GothamChess and maybe even Tom Scott talk about how they have to create clickbait thumbnails otherwise they get no views. The YouTube algorithm punishes creators who don’t use clickbait. [this video]
Cited for creators needing clickbait thumbnails or getting no views.
@crowf May 2021 Pushes back
on HN thread You Can't Prove Everything That's True
veritasium used to be a really good channel, but a few years ago he tasted what it was like to have a viral video. since they he basically admitted (somewhere near the end of [this video] ) that from then on he will be making clickbait style videos

Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.

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