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How To Gain Views On YouTube: An Polya Urn Explanation - Ways To Use University Math Idea Video

Many people are obsessed with getting views on YouTube. There are many videos about the tips and strategies of others on YouTube. Oddly, some people gain rapid success, and others don’t. Some gain views slowly and others gain views quickly and then stop rather quickly. What most people do not realize is that gaining views can be generated by random processes, known as the Polya Urn model. This model is fairly simple in which the ‘view’ is sampled with replacement. It can generate a fair number of trajectories that are completely random, and yet appear to demonstrate success or patterns.

This randomness and not knowing the underlying causal pattern can generate what as known as superstitious learning - you mistaking infer the wrong lesson and then act on that lesson. Superstitious learning was first identified by BF Skinner in Pigeons might explain a large number of ‘how to’ gain views videos on Youtube.

If you want a fun simulation, check out:
http://success-equation.com/urn.html

References:

Arthur, W.B. 1994. Increasing Returns and Path Dependence in the Economy. The University of Michigan Press, Ann Arbor, MI.


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As a research professor of entrepreneurship, innovation, and business strategy, I discuss topics, such as behavioral science, strategy, innovation, and entrepreneurship, and apply these to my new peer proofreading and editing platform. Topics include the sharing economy, altruism, investing in technology, and bounded rationality. My favorite videos pertain to incentives, goal setting, and learning from failure to drive behaviors such as weight loss, stopping telemarketers, creating novel technologies, and creating new movements.

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About the Site 🌐

This site provides links to random videos hosted at YouTube, with the emphasis on random. 🎥

Origins of the Idea 🌱

The original idea for this site stemmed from the need to benchmark the popularity of a video against the general population of YouTube videos. 🧠

Challenges Faced 🤔

Obtaining a large sample of videos was crucial for accurate ranking, but YouTube lacks a direct method to gather random video IDs.

Even searching for random strings on YouTube doesn't yield truly random results, complicating the process further. 🔍

Creating Truly Random Links 🛠️

The YouTube API offers additional functions enabling the discovery of more random videos. Through inventive techniques and a touch of space-time manipulation, we've achieved a process yielding nearly 100% random links to YouTube videos.

About YouTube 📺

YouTube, an American video-sharing website based in San Bruno, California, offers a diverse range of user-generated and corporate media content. 🌟

Content and Users 🎵

Users can upload, view, rate, share, and comment on videos, with content spanning video clips, music videos, live streams, and more.

While most content is uploaded by individuals, media corporations like CBS and the BBC also contribute. Unregistered users can watch videos, while registered users enjoy additional privileges such as uploading unlimited videos and adding comments.

Monetization and Impact 🤑

YouTube and creators earn revenue through Google AdSense, with most videos free to view. Premium channels and subscription services like YouTube Music and YouTube Premium offer ad-free streaming.

As of February 2017, over 400 hours of content were uploaded to YouTube every minute, with the site ranking as the second-most popular globally. By May 2019, this figure exceeded 500 hours per minute. 📈

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