When that happens, we’re confronted with what feels like a stark choice: either reject the data or reject our own memories and perceptions. And since neither is very attractive, we’re often left with a sense of cognitive dissonance. always rehashed our epic adventures, in loving detail, and often over beers or coffee. But thanks to digital technologies, our ritual recaps can now occur virtually, anywhere and anytime. If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

Because we're dealing with extremely fast signals requiring precise detection, any slight inaccuracy in the signal's reception, or disturbance to the signal itself, can translate to a significant dislocation of your reported position. Consequently, environmental factors such as dense trees, steep hillsides, tall buildings, or even heavy cloud cover can impact or even interrupt the travel of the GPS signal between your device and the satellites. Examples of bad GPS dataDo your best to avoid environments that are always going to be problematic for a GPS signal, such as canyons, whether natural or man-made (think a city street lined by tall buildings), dense trees, etc. Lost GPS Signal : Environmental factors can often cause your GPS signal to be lost and some time later re-acquired. In cases like this, the pre-and post-signal-loss points will be treated just like any other two subsequent points (although more time has elapsed between them) and will be connected with a straight line. Cases of signal loss like this can cause your activity to report less distance than you actually traveled or not to match segments that you would have otherwise matched. From a very young age, humans are taught that nonmoral values like money, success, power, and fame are the driving values for societal behavior. I could feel the extrinsic pressures to perform well athletically and earn better grades. My parents never placed pressure on me to perform, but from the messages in the media, athletics, and school, I knew the outcome mattered more than the journey. If I wanted to be successful and contribute to society, then I had to earn a 4.0 GPA (grade point average) and if I wanted to run in college, I needed to run fast.

But not everything is hunky dory in the religion of Strava. Too much data can lead to people over exerting themselves as they look for marginal gains at every possible juncture. The community feature can lead to over competitiveness, people desperately trying to get one over on their mates. In fact this user is happy to admit my first foray into Strava left me feeling exposed. I didn't allow a single person to follow me until a few months into my journey. Using the fitdump tool returned much more data, around 2370 data points, which gave me more hope since my run was ~38:00 minutes long, (38 * 60 = 2280)

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What if they saw my speed? What if they saw my distance? What would they think of my higher than average heart rate? What if people knew where I ran? What time I ran? Who I ran with? We use the term "bad GPS data" to describe any circumstance where your GPS device records location (or other) data that does not accurately represent your activity. Bad GPS data can result in your activities on Strava having missing or extra distance recorded; segments not matched at allor recorded inaccurately;inaccurate elevation data;inaccurate achievements such as estimated best efforts;and more. I cleaned up and rearranged the data with VSCode and many regex’s I ended up with this: [0-9]*. unknown_[0-9]*\n( \* [a-z_0-9]*: [0-9]*\n)*