They might be people stumbling upon embedded videos with autoplay enabled, possibly even hidden behind other elements of a site. They might be clickfarm users being paid to watch videos. At the bottom end you have legitimate people who are “watching” a video without actually watching it. They’re cheap and plentiful, but they’re also easy to detect and filter. On the other end, bad bots come in massive numbers, because they’re spoofed data and IPs all using the same behaviors. However, they’re also a lot of work to set up and keep running, so they’re only available in low volumes. Good bots are excellent at imitating real behavior, have valid referral information, and often slip past YouTube’s filters.
On the bot scale, you have good bots and bad bots. There’s a scale to both categories, though. Bots are bots, and often try to imitate real people, but are also often caught. Real views are real people, and act like it. Views come in two major categories: real and bot. Views from different countries, views from different demographics, and so on. You can see this in your analytics, even. Views come from all sorts of people and all sorts of places. There are views, and then there are views, you feel me? No? Alright, well I’ll explain.
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