Lee Duna to [email protected]English • 11 months agoPornhub blocks North Carolina and Montana as porn regulation spreadswww.theverge.commessage-square392fedilinkarrow-up11.11K
arrow-up11.1Kexternal-linkPornhub blocks North Carolina and Montana as porn regulation spreadswww.theverge.comLee Duna to [email protected]English • 11 months agomessage-square392fedilink
minus-square@[email protected]linkfedilinkEnglish9•11 months agoWait, what the heck. Why does that graph look so much like an ECG?
minus-square@[email protected]linkfedilinkEnglish15•11 months 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•11 months 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@[email protected]linkfedilinkEnglish2•11 months 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@[email protected]linkfedilinkEnglish3•11 months 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@[email protected]linkfedilinkEnglish0•edit-211 months 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@[email protected]linkfedilinkEnglish2•11 months 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.