Joined in 2023 
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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. 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. In an effort to learn more about the training philosophies of some of the best trail and mountain runners in the world, I thought I would investigate just how much elevation gain said athletes run during an average week. Even though my intention was to use Strava as a tool, the more time I spent on Strava, the more toxic the application became for my wellbeing. I started comparing myself to my competitors. I felt a desire to look at Strava daily even though seeing everyone else’s activities further decreased my confidence in myself. I realized I did not run as much elevation, mileage, or even run on the trails as much during the week as my competitors, which made me question my coach and training philosophy. unknown_0 and unknown_1 looked like location data (which I censored it from here) but much more interestingly they were not given in floating point layout but rather were integer data points. The other fields where of not much interest; except for heartrate which turned out to be unknown_3 and temperature which was unknown_13 .
in 39min ? I’m not a good runner but that aint right. And more interestingly: there is more data to the run than is represented in the distance. routinely split our cycling into an experiential “during” mode and a data-driven “after” mode. We collect ride data and photos during the ride, and enjoy them afterward. That’s great—except that sometimes, it may feel as if the point of the “during” phase is to create that stuff we can use “after.” 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.I am not exactly sure what the other fields were for as I still had my bike power meter paired, so I expect the fields for power and cadence to exist but filled with zeros. Here is what GC wanted (shown already with the valid padded zero entries): secs,cad,hr,km,kph,nm,watts,alt,lon,lat,headwind,slope,temp,interval,lrbalance,lte,rte,lps,rps,smo2,thb,o2hb,hhbsecs,cad,hr,km,kph,nm,watts,alt,lon,lat,headwind,slope,temp,interval,lrbalance,lte,rte,lps,rps,smo2,thb,o2hb,hhb
The one positive I can take from leaving my watch at home was that I didn’t have any stats to distract me from just simply running. What I mean by this is that sometimes I will look at my pace on my watch and I’ll think ‘this is too fast’. I pay too much attention to my watch perhaps, rather than listening to my body. Well on this race I only had my body to listen to and maybe that helped me achieve something incredible that I wouldn’t have done had I been wearing my watch. I have no scientific proof for this of course and I will definitely not be leaving my watch at home again. Truth be told, I felt naked without it. Your device may have recorded GPS points that deviate from your true path. See the examples discussed in this article.
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python-fitparse also ships with a fitdump tool for dumping out all information that is inside the file. If a segment didn't match your activity, but you think it should have - you can request that the Strava support team review and attempt to force that segment to match your ride or run. We cannot adjust your time on a segment, however. Here is more information on segment matching issues. You will find all your log files there. Select the file you want and upload it to your Strava, TrainingPeaks, or any other application.
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