In their annual ceremony aimed at revealing just how freaky you are, Pornhub whipped out some revealing statistics about porn consumption in 2016. And let me tell you -- y'all nasty.

Pornhub is a giant in the world of free online porn. Last year alone, people watched over 91,980,225,000 videos on the site, and not one of them made it all the way through a single one! I'm kidding about that second part of course... sort of.

What sets the site apart from others in their trade is the air of legitimacy that comes with their brand. They are one of the only ones you'll see in mainstream media headlines, because they often run highly publicized charitable initiatives via Pornhub cares. On top of that, they keep and publish stats, like what was watched and searched for the most, which brings us to the site today... for the first time... today... I mean ever.

Anyway, here's what we learned:

USA is #1

No wonder Donald Trump wants to build that wall. He's worried Mexicans will come here and send our porn back home to their families. Speaking of DJT, you'd think Russia would be watching a lot more of our porno, since their most popular porn video features The Orange One in R. Kelly mode.

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Your Families Are Waaaaaaaaaaay Too Close

If you've perused the site at all this year, you probably noticed a huge uptick in Pokemon, Clown, and Super Hero porn, but the category that took over 2016 was step-relative porn. It was pretty much everywhere on the site... or so I'm told. I've never been there. But seriously, guys -- "mom" was the #10 search term? Not "stepmom," but "mom." That's f---ed up. Have fun at your McPoyle-style family reunion, ya filthy animals.

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Pornhub has a load of additional statistics tallied up for 2016, based on everything from average watch time by country (U.S. was #3 at 10 mins and 15 seconds) to which states last the longest (Michigan is neither at the top nor bottom of that list). However, none of them are as disturbing as the #10 search term, the popularity of which is largely attributed to millennials in further breakdowns of the data. I'll never understand that generation.

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