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Life Logging - Is It Worth The Effort? (Part 3)

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For a keyboard jockey who recently started working from home in the wettest winter since the biblical Flood, the results can be disheartening. On one day, I took a mere 2,678 steps: a total distance of only 1.3 miles. There are people in comas getting more exercise than that. Astonishingly, however, according to one of Fitbit’s “premium reports” - for which it charges another $67 per year - I’m doing 11% more exercise than the median for all people in the UK, at an average of 7,463 steps a day. I’m not sure whether that makes me feel better about myself, or depressed at the state of the nation’s health.

Benchmark compares the number of steps performed against other users in similar demographics

Benchmark compares the number of steps performed
against other users in similar demographics

Fitbit’s hopeless if you decide to hop on your bike to do some exercise: it’s a pedometer, not a GPS device, so it will probably think you’re tucked up on the sofa watching Breaking Bad when you’re actually breaking your back down country lanes. Here, apps that take advantage of the GPS chips in smartphones, such as the free for iOS and Android, come into play.

On the Explore Page on the Strava Cycling App, letter markers save rides that previous cyclists have ridden.

On the Explore Page on the Strava Cycling App,
letter markers save rides that previous cyclists have ridden.

Strava places much greater emphasis on competition than Fitbit: not only handing out badges for clocking up so many miles or climbs, but pitting you against your friends and the entire Strava community. Strava automatically breaks down your rides into different segments, and shows you how pitifully slow you are compared to those with Chris Hoy’s helmet and a bike that weighs less than a Mars Bar. On one 2.5km stretch near my home - the London Lollop - I’m currently sitting in 314th position, with a time that’s more than twice the leader’s.

Strava has been criticised for encouraging cyclists to take unnecessary risks to climb leaderboards or beat personal bests, and it’s easy to see why. It’s also clever at parting members from their cash as well as their senses: if you completed February’s challenge of 130km in a single ride, you “unlocked the ability to purchase a limited edition Gran Fondo Jersey made by Castelli for $109”. Yet, if you can avoid the temptation to risk life and limb to beat Colin from Hemel Hempstead, or to buy an expensive jersey, reviewing the detailed telemetry from your rides can be hugely satisfying.

Complete the Challenge and you will unlock the ability to purchase a limited edition Gran Fondo Jersey made by Castelli for $109.

Complete the Challenge and you will unlock the ability to
purchase a limited edition Gran Fondo Jersey made by Castelli for $109.

Sleep

After a hard day’s cycling, you’re going to need a good kip. As I mentioned above, Fitbit not only measures how active you are during the day, it also measures how inactive you are at night. Tap repeatedly on the wristband for a second or two, and the device is put into Sleep mode, designed to measure if you’re getting your eight hours.

Fitbit considers you’re asleep if it doesn’t detect any motion from the band strapped to your wrist - a methodology that isn’t without its flaws, in my experience. I know for a fact that I’ve been awake for periods when Fitbit claims I was clocking up shuteye, presumably because I wasn’t thrashing around like a demented salmon. However, Fitbit is excellent at detecting periods of restlessness during the night, and after a week or so of usage, patterns started to become clear: I’d often start to wriggle around at 2am, and then again at around 5am.

Other trends emerged. Perhaps not surprisingly, I slept better when my partner and young children weren’t in the house. Contrary to received medical wisdom, I also slept better - if not for longer - after drinking alcohol, showing far fewer periods of restlessness. This is where collecting all this data begins to pay off, as you can match up information from different sets of data to identify trends.

 

 

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