y-Component of Velocity at a Boundary Layer - YoutubeRandom

## y-Component of Velocity at a Boundary Layer

Shows how to find the y-component of velocity at the edge of a boundary layer at any point along the length of a flat plate.

Made by faculty at the University of Colorado Boulder Department of Chemical and Biological Engineering.

Check out our Heat Transfer playlist: https://www.youtube.com/playlist?list=PL242066E80621CC10

Check out the Fluid Mechanics playlist: http://www.youtube.com/playlist?list=PL324604EAA66EA2F2

Are you using a textbook? Check out our website for screencasts organized by popular textbooks: http://www.learncheme.com/screencasts/heat-transfer

Check out our website for interactive simulations: http://www.learncheme.com/simulations

# Random YouTube Video Generator

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

The original idea for this site actually stemmed from another idea to provide a way of benchmarking the popularity of a video against the general population of YouTube videos. There are probably sites that do this by now, but there wasn’t when we started out. Anyway, in order to figure out how popular any one video is, you need a pretty large sample of videos to rank it against. The challenge is that the sample needs to be very random in order to properly rank a video and YouTube doesn’t appear to provide a way to obtain large numbers of random video IDs.

Even if you search on YouTube for a random string, the set of results that will be returned will still be based on popularity, so if you’re using this approach to build up your sample, you’re already in trouble. It turns out there is a multitude of ways in which the YouTube search function makes it very difficult to retrieve truly random results.

So how can we provide truly random links to YouTube videos? It turns out that the YouTube programming interface (API) provides additional functions that allow the discovery of videos which, with the right approach, are much more random. Using a number of tricks, combined some subtle manipulation of the space-time fabric, we have managed to create a process that yields something very close to 100% random links to YouTube videos.

YouTube has faced criticism over aspects of its operations, including its handling of copyrighted content contained within uploaded videos, its recommendation algorithms perpetuating videos that promote conspiracy theories and falsehoods, hosting videos ostensibly targeting children but containing violent and/or sexually suggestive content involving popular characters, videos of minors attracting pedophilic activities in their comment sections, and fluctuating policies on the types of content that is eligible to be monetized with advertising.

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