And Moment doesn't document shorter pickups, like when you quickly touch your phone to check the time. All told, Moment reports that I picked up my phone times on Day 1, an average of more than seven times an hour. Plus, I probably at least looked at my phone a bunch of the times it lit up.
For the record, I'm only including uses of a minute or more in this log.
If you look at the video above, you'll see green dots with minutes listed next to them, and you'll also see a ton of gray dots in between; I'm only documenting the green dots. Thursday looked a lot like Wednesday, with two fewer minutes of use and 22 more pickups. Friday, or Day 3, was my heaviest phone day, with minutes of use. That said, my pickups dropped to , which was a bit lower than Days 1 and 2. I texted and used Safari a lot—almost an hour each—and I used Instagram a fair amount 36 minutes , too. Day 4 was slower than the other days only minutes of use , because I spent most of it relaxing.
I just sat and read for most of it, and checked my phone periodically—though I did spend 53 minutes texting my friend and boyfriend to lock down our evening plans. Like Day 4, Day 5 was generally low in cell phone use. Day 6 was the slowest of all only 95 minutes of use! I worked my ass off. I was in the zone, and I just kept my phone out of sight, out of mind. It was another very productive day for me, work-wise, though not nearly as productive as Monday was. But seeing these findings considered together—and looking at the patterns Moment gleaned from them—did. For starters, I found out Instagram was only my fourth most-used app, and that shocked me.
Second, it is creepy to me that I pick up my phone an average of 99 times per day. The average Moment user only picks up their phone 52 times per day—what the hell am I doing? Everything on your device is at risk. If an Android device is hacked, the attacker will have access to every piece of information on it. All of your personal data can be used for nefarious reasons, such as threatening to release embarrassing data, usually to the financial gain of the hacker.
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