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What Virality Made: The Memetic Emptiness of MrBeast

Jimmy Donaldson, known worldwide as MrBeast, has organized his creative life around the measurable demands of internet platforms. As he has repeatedly explained, his objective is to give the algorithm exactly what it wants. He develops his videos around platform metrics, revises them in response to performance data, and removes whatever reduces their ability to spread. His success is not the product of artistic expression, it’s the systematic optimization for algorithmic selection.

This helps explain why MrBeast’s videos feel so culturally disposable. They’re designed to maximize distribution rather than to communicate ideas.

In 2012, Donaldson began posting on YouTube as MrBeast6000 at the age of thirteen. For the next five years, he searched for anything that could go viral. He says it was his only goal. He later described himself as “relentlessly, unhealthily obsessed with studying virality, studying the YouTube algorithm.” At seventeen, he recorded a message to his future self in which success or failure in his life came down to a number: “If I don’t have a million subscribers when you see this video, my entire life has been a failure.”

After high school, he said, he “did nothing but just hyperstudy what makes a good video, what makes a good thumbnail, what’s good pacing, how to go viral.”

The standard was already contained in the question: a good video, to Donaldson, is defined as one that spreads.

After five years of trying to go viral for the sake of going viral, it’s interesting to look back at his big breakthrough. He asked, “What’s something dumb I could do that would get a lot of attention?” His answer? Count to 100,000. Endurance videos, long one-takes, and supercuts already existed online. The point is not that he didn’t invent a format. The point is why he chose the act. His own explanation begins with the need for attention.

Reflecting on that first video, he said, “I just really wanted it. I had dropped out of college, I wasn’t really making much. I knew it would go viral.”

By nineteen, Donaldson was telling his team, “We’re going to be the biggest YouTube channel ever. I don’t care. I’ll die trying.”

After that, the chronology is beside the point. The goal never changed; it merely acquired money, staff, and a self-aggrandizing production system.

Now he describes views as evidence that he is giving people what they want, and he uses virality as a repeatable technique for producing “practically unlimited money.”

That objective reaches into every part of the product. He says more extreme claims are used to improve click-through. Prize amounts are evaluated according to how much additional click value they produce. Click-through rate, average view duration, and satisfaction surveys became his production inputs.

One director who worked at MrBeast Productions told TIME that platform incentives had led them to study retention graphs to make each new video more addictive. Working at MrBeast, he said, that work was done “on steroids.”

He even has people developing and testing a factory’s worth of title-and-thumbnail concepts before deciding which one to upload. The business tested open- and closed-mouth poster-image expressions, found that closed mouths produced slightly more watch time, and then changed its rulebook and best practices accordingly.

It’s not as if these are separate anecdotes from different stages of a career. They describe one continuous method, governed by the same question every time: Will this improve distribution? The machinery does not arrive afterward to promote the work, it determines what the work becomes.

The leaked MrBeast Production Manual spells it out. Two former producers confirmed that the document was used in the office and given to new employees, but to date, apparently no one from the current MrBeast production team, including his spokesperson, has confirmed or denied its existence. The manual tells employees that their goal is “not the highest quality videos.” It is to make “the best YOUTUBE videos possible.”

That distinction is central to this argument. It is exactly what Donaldson has been preaching all along. His objectives are not secret. He professes the method openly.

The manual names three trackable measures of virality: click-through rate, average view duration, and average view percentage. Those numbers show whether the packaging earned the click and whether the video kept the viewer. It calls click-through rate “what dictates what we do for videos.” The numbers then enter the work itself. The first minute receives special attention because that’s where the most viewers leave. Producers place new material at planned intervals. Endings stop abruptly so viewers do not depart before the video is over. Spending outside the frame is questioned because the audience cannot see it.

The manual also says that a video should excite Donaldson, feel authentic, and make the audience happy. It allows for a subjective “wow factor”, yet when it asks how to determine whether the content is good, the answer is, as you could have probably guessed by now, average view duration and percentage watched. Creativity is defined by tricks for saving money. New ideas are encouraged so long as measurements can certify them. It is a manual for deciding what the work will be in the first place based on the YouTube formula.

This helps explain what I knew in my heart before I learned about his intent: quality has no meaning to Donaldson. He equates quality with whatever the algorithm wants. He repeatedly advises that the word “algorithm” can simply be replaced with “audience.” He treats the two as the same.

You can see how absurd that is:

The audience placed the video on millions of personalized YouTube pages, measured how long each viewer stayed, and expanded its distribution when the numbers improved.

In reality, the audience supplies the behavior and the algorithm separately interprets that behavior to control distribution. Treating them as the same is soulless, as if the machinery between the viewer and the work is all that exists. Such a treatment of people is so dark.

Hello. I am not an algorithm.

People feel, experience, perceive, interpret, imagine, desire, hope, fear, love, grieve, trust, doubt, forgive, resent, empathize, laugh, suffer, wonder, form identities, build relationships, negotiate meaning, exercise judgment, accept uncertainty, revise beliefs, and choose what they value. People can hate-watch a video to the end or stop watching something they love. The algorithm sees none of this directly. It sees only the most minimal traces left by click through behavior and bots, and then converts that raw signal into further distribution.

This explains how MrBeast’s videos can perform so well while being devoid of quality. The system can measure whether people watched. It cannot determine whether what they watched was worthwhile.

Quality is an artistic, evaluative judgment, whereas click-through, retention, and completion are behavioral measurements. The first asks what a work is worth. Donaldson asks what an audience did. Within the MrBeast system, a premise for a video acquires value when it wins the click. A scene acquires value when it prevents departure. A comment, idea, prize, or edit survives only when the graph rewards it. Originality, beauty, coherence, insight, durability, and cultural consequence have no independent standing inside this procedure. They matter only when they can be translated into traces of audience behavior.

In MrBeast’s content, the algorithm and the audience become a single object: measurable behavior. The system can optimize every visible element of a video while remaining indifferent to whether the resulting work was worth making.

What does MrBeast stand for?

Ultimately, MrBeast’s pursuit and the purpose of his content are completely self-serving in the most literal sense: the object is to make MrBeast the biggest YouTuber. The audience enters that pursuit as a field of measurable behavior. People must be induced to click, remain, finish, and return. Their enjoyment matters only if it advances his position.

By contrast, Pixar, at its best, makes films intended to provide cultural value for people. Steve Jobs described his interest in supporting Pixar filmmaking as an opportunity to create stories that would speak to our “grandkids’ grandkids’ grandkids.” While Pixar repeatedly “wins” the commercial competition, its commercial success follows from the artistic quality of work meant for culture itself—a standard established before the audience response.

Jobs: “There’s lots of ways to be, as a person. And some people express their deep appreciation in different ways. But one of the ways that I believe people express their appreciation to the rest of humanity is to make something wonderful and put it out there.

And you never meet the people. You never shake their hands. You never hear their story or tell yours. But somehow, in the act of making something with a great deal of care and love, something’s transmitted there. And it’s a way of expressing to the rest of our species our deep appreciation.”

WALL-E offers a great example. Contrary to the known formula, Andrew Stanton created a long, nearly thirty-minute wordless opening, with a portrait of a solitary machine wandering through an abandoned world. The absence of dialogue, the slow accumulation of detail, and the refusal to explain everything would be obvious no-nos for a MrBeast production. Stanton preserved these qualities because they created the solitude, tenderness, and wonder the story required. “There’s something underestimated about wonder,” he later said. “It’s a hard thing to quantify, but to me that’s the ingredient.”

Like many films, WALL-E was tested too. It is not unhealthy to understand statistics and keep them in mind. But the film was made for audiences, not the algorithm, and its quality standard preceded the audience response. The audience was asked to meet the work where the artist had placed it. In MrBeast’s system, the anticipated audience response determines where the work will be placed.

Compare the cultural value of Toy Story, which cost twenty million dollars to make, with MrBeast’s SquidGames, which cost a hundred million dollars to make. Judged independently of their platform-performance metrics, MrBeast’s videos offer little beyond the machinery of attention. Their premises are thin, their stakes are inflated, their participants become functions of a game, and their editing allows no space for ambiguity, reflection, or discovery. Every moment must justify itself by preventing departure. The result is spectacle engineered for immediate consumption and rapid replacement. Its accomplishment lies in temporary fitness: Quality would require reasons to value the work after those advantages were taken away.

In my previous post about Incentivemaxxing, I described how platforms provide rewards for content creators who approach boundary lines. Creators who are looking to game the system adapt their content toward the point of maximum reward. YouTube has the same kind of curve but with a different boundary. On YouTube, the pressure is toward premises, packaging, and pacing that improve click-through and retention for advertisers.

MrBeast did not invent this orientation. YouTube had already institutionalized it.

In March 2011, YouTube acquired Next New Networks, a web-video company that had developed, packaged, and built audiences by standardizing preexisting creator content into a one-size-fits-all product. YouTube called the resulting program YouTube Next, a creator-development unit that trained producers on how to accommodate the algorithm, an effort YouTube described as a strategy to compete against other platforms in the marketplace.

Shortly after acquisition, the Next New Network group published the first *Creator Playbook*, described as a collection of “best practices and strategies” for building audiences on the platform.

Simply put, the Playbook converted distribution into production doctrine. Programming, openings, release schedules, and audience interaction became variables YouTubers were told to incorporate to compete. The platform was no longer just distributing videos; it began prescribing how videos should be made for its own system.

The first substantive lesson concerned the opening fifteen seconds. Creators were told to consult attention graphs, locate early drop-offs, experiment with different “hooks,” and keep changing the opening until abandonment fell. Another section advised calls to action because likes, favorites, and shares improve a video’s ranking in the algorithm.

In February 2012, the same month Donaldson started his channel, YouTube released the Playbook’s second edition. It expanded the framework with instructions for organizing videos around different audiences, programming channels for the homepage feed, and optimizing creative work for global viewers. It also treated Analytics as actionable intelligence: creators should assess performance, investigate trends, measure optimizations, and alter their content or strategy in response. 

YouTube pushed this hard for years, so a MrBeast was bound to happen. MrBeast is merely the embodiment of the Playbook’s system in which popularity has replaced quality as the standard of judgment.

Now MrBeast says he can make almost anything go viral. The more interesting fact is what virality has made out of him. It has trained his eye, organized his time, shaped his company, selected his ideas, and given production decisions a number for the sake of making himself more popular. He uses YouTube to spread his videos, and YouTube uses him to reproduce the kinds of videos it rewards.

The formula is not applied to the content. The formula produces the content.

That is Incentivemaxxing to the max. It is also what it means to say that we do not simply use memes. Memes use us.

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The Algorithmic Incentive Curve

When all hell broke loose on Facebook during the Cambridge Analytica era, people were focused largely on privacy, but equally important was the realization of its recommendation algorithms.

Facebook set policy on what was considered to be too violent, too sexual, and too everything else, and then moderated and removed based on whether or not content crossed the policy line. But as people got closer to the line, their content was shared more, and thus, they were more rewarded, leading to a platform full of the most extreme content allowed, where the most rewarded content sat right next to the boundary line.

One of the main reasons twitter, around that same era in the twenty-teens, was safer and more trusted, was because of how they managed, algorithmically, this approach to the policy line. Twitter explicitly acknowledged that some behavior did not violate the rules but still harmed conversations, and that instead of removing it, Twitter reduced its visibility. Essentially, they flipped the curve.

As content approached the prohibited boundary line, twitter demamplified it, removed it from recommendations, restricted its appearance in search, and used other methods of reducing incentive to spread. 

This all being then, it’s quite interesting because of where we are now. Have you seen what’s on twitter these days? The policy line has been shifted way to the right and the most extreme content gets the most rewarded.

In addition to the extensive pornography and graphic war violence, twenty-eight-year-old Dalton Eatherly, known as Chud the Builder, is a quintessential 2026 example of how the platform changed under Elon Musk.

Eatherly used the platform to become nationally known by livestreaming himself walking through towns in the Deep South, directing extreme racial slurs at random strangers before challenging them to “do something” that would justify him defending himself, including with the gun he carried. The slurs were so outrageous and disgusting they were literally jaw-dropping.

People shared the videos largely in disbelief that someone could openly do this. Eatherly claimed he was exercising free speech, and Musk’s platform did not moderate the content, showing that it fell within acceptable policy boundaries. The more controversial and extreme Easterly became, the more he was rewarded. I watched in disbelief, convinced he was eventually going to kill someone or be killed. It was clear he sought confrontations and deliberately provoked people because the platform rewarded that behavior.

Eatherly eventually did shoot someone during one of these filmed confrontations and is now in jail facing attempted murder. Even afterward, the content remained on the platform, and Eatherly raised more than $100,000 from supporters for his legal defense.

Unfiltered discussions and videos of street confrontations, assaults, war and even killings are surprisingly abundant on Musk’s platform. As for the cultural impact, of course it provokes outrage, anger, and engagement, ultimately feeding money back into the platform.

Every boundary creates an incentive gradient. The platform determines one boundary, the law establishes another, and creators adapt their behavior toward whichever boundary yields maximum reward. Incentivemaxing. This is the era we are in now.

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A is for Artist: The First A Corp

Today in Boulder at the municipal building on Broadway and Arapahoe, I met Yancey Strickler (co-founder of Kickstarter) after hearing his talk on a new business designation that went into law in Colorado called an A Corp. This is similar to an LLC designation, but it’s geared toward supporting artists. The plan of action was conceived by Yancey just two years ago and is already law in Colorado, the first state in the U.S. to adopt it. As an interesting aside, it could have been possible to register a business in Colorado as an A Corp today, but it may take the state up to eight months before it can push out the one new column required in the official database…hopefully it will be ready in the spring of 2027. Generally, LLCs and other business entities that are founded now, or were already established, may switch to an A Corp when it becomes available.

Yancy Strickler in Boulder, July 1, 2026

What’s so cool is that it offers artists a simple template for starting up, especially when there is more than a single artist involved. If a group, like a music group, gallery owners, or people who share ownership in an artistic business, come together to share in the intellectual property, assets, investment, etc., the format offers an easy way to set it all up, designed to maximize value in the market while protecting the individual people and their artistic contributions. In a similar way that a B Corp offers a legal method to put one’s fiduciary responsibility to a social-good mission over a duty to enrich shareholders, an A Corp provides a way to define a business in terms of an artistic mission.

As Yancey and the others at the introduction were saying, the new A Corp doesn’t offer anything new that couldn’t be created with an LLC. You can have an artistic mission in an LLC and structure it all exactly the same as an A Corp without being an A Corp. This is basically a template for doing it, but there is somewhere to go next: Being recognized clearly in the market as a legitimate business. Specialized support services are destined to spring up now in Colorado. Lawyers will learn about the A Corp and begin providing expert services for artists to get setup for less of an expense. Insurance companies are likely to offer health plan rates for working artists with A Corps. Tax accountants will learn how to provide more value for artists based on the assets they are contributing to and building for the company. Shared resources will make marketplaces more efficient and cost effective. It’s a brilliant plan because it legitimizes artists in the workplace. The world will do more to see the value of the work artists do, and that the value is real, in terms of a legitimate economy for the state. Colorado is first.

From L to R: Yancy Strickler – Artist Corporations, Dave Ratner – Creative Law Network, Meredith Badler – Colorado Business Committee for The Arts (CBCA), Lauren Click – City of Boulder Office of Arts and Culture

You have likely heard about how cities and states can transform by supporting various industries. Austin, for example, transformed by offering tech companies and film companies tax incentives and lucrative contracts to move in. An interesting point that was made today along these lines: Colorado wants to be the place for the creative arts, and a recent investment into Sundance offers some evidence. In fact, the director of Sundance, Eugene Hernandez, played one of the many critical roles in the story that brings Yancy to Colorado first, the two having met to discuss exactly this important support that makes Colorado unique. Jared Polis, who don’t forget was a founder of Techstars which was inspired to platform startups, signed the bill into law last month. [The full story of how the A Corp came to be]

Check out, keep your eye on, and get in contact with the arts and business leaders pictured above (Meredith Badler became one of “A-Corp’s most influential champions in Colorado”) to plug in or help bring this plan to fruition wherever in the world you are. See Artist Corporations for the latest progress. To register, you can learn about the details, get your paperwork in order, and be ready by following the ten steps at https://www.artistcorporations.com/register.

Flashback to 15 years ago, here was Rocketboom’s Ella Morton on the pulse when Kickstarter was just coming out. You can see the trajectory from the thread in the works, years of dedication to platforming artists.

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Om Malik, 1966-2026

One of the times we met, we were at a restaurant with Salman Rushdie. We sat on either side. The room was small and dark, and kinda cramped. Rushdie was freaked out and paranoid, constantly looking around as if he was being stalked, possibly killed at any minute. We were both excited to meet him, but the meeting didn’t last long; once his wife arrived, Rushdie was out of there pretty quickly. I remember this moment afterwards where Om and I looked at each with a big smile and raised eyebrows in sorta of a mutual, unspoken sigh of relief that we weren’t going to end up as collateral damage.

Om Malik was one of the very first influential bloggers. Day-to-day he led packs of others on Blogdex and Technorati, and then Techmeme, due to authority he earned with his style and the truth. Om represented Web 2.0, an era of organic, authentic information spread, before the silos emerged and the algorithms became corrupt. In the same way the founders of America built a constitutional framework, Om was one of a small group of founders of blogging, setting standards for a new style of independent, personal news publishing on the internet. It was the era that text became truly democratized, circa 2001, the year the internet in America made its way into 50% of American homes, that same year Om began writing GigaOm. Enter into his work here.