Lee Duna to Technology@lemmy.worldEnglish • 1 year agoPornhub blocks North Carolina and Montana as porn regulation spreadswww.theverge.comexternal-linkmessage-square399fedilinkarrow-up11.1Karrow-down114cross-posted to: politics@lemmy.world
arrow-up11.09Karrow-down1external-linkPornhub blocks North Carolina and Montana as porn regulation spreadswww.theverge.comLee Duna to Technology@lemmy.worldEnglish • 1 year agomessage-square399fedilinkcross-posted to: politics@lemmy.world
minus-square@DrRatso@lemmy.mllinkfedilinkEnglish9•1 year agoWait, what the heck. Why does that graph look so much like an ECG?
minus-square@grayman@lemmy.worldlinkfedilinkEnglish15•1 year agoThe spike is first thing in the morning, before work. The gradual increase is home after work. The later it gets, the higher the consumption. I did some data analysis a few years ago on porn consumption for a project at work. People are insanely addicted.
minus-squareThis is fine🔥🐶☕🔥linkfedilinkEnglish4•1 year ago I did some data analysis a few years ago on porn consumption for a project at work. People are insanely addicted. Can you share some more details?
minus-square@grayman@lemmy.worldlinkfedilinkEnglish2•1 year agoNot without violating a bunch of NDAs. Lookup Sandvine and Deepfield. There are other companies that do traffic identification too. If you’re just curious about what I worked on, ask away and I’ll answer what I can.
minus-square@DrRatso@lemmy.mllinkfedilinkEnglish3•1 year agoIm just shocked because this can really pass for some crappy smart watch ECG tracing. I see what resembles P waves, then the QRST is spot on, really.
minus-square@SCB@lemmy.worldlinkfedilinkEnglish0•edit-21 year agoMaybe it’s in the morning, when 3rd shift gets off (ayyyy) and then rises as the majority of people don’t work 3rd shift?
minus-square@grayman@lemmy.worldlinkfedilinkEnglish2•1 year agoThat came up on discussions. Maybe, but not enough info to know with any certainty that it was post night shift wanking. That was a fun conversation with executives.
Wait, what the heck. Why does that graph look so much like an ECG?
The spike is first thing in the morning, before work. The gradual increase is home after work. The later it gets, the higher the consumption.
I did some data analysis a few years ago on porn consumption for a project at work. People are insanely addicted.
Can you share some more details?
Not without violating a bunch of NDAs. Lookup Sandvine and Deepfield. There are other companies that do traffic identification too.
If you’re just curious about what I worked on, ask away and I’ll answer what I can.
Im just shocked because this can really pass for some crappy smart watch ECG tracing. I see what resembles P waves, then the QRST is spot on, really.
Maybe it’s in the morning, when 3rd shift gets off (ayyyy) and then rises as the majority of people don’t work 3rd shift?
That came up on discussions. Maybe, but not enough info to know with any certainty that it was post night shift wanking. That was a fun conversation with executives.