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kkleindev

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https://kevinkle.in/ https://twitter.com/kevkle https://github.com/kklein

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It might sound silly but I've found it to work quite well for me: I store the (rather coarse) data on these exercise activities in my Google calendar.

I also do some more fine-grained analyses (e.g. looking at heart rates) via Garmin and Strava but for cross-discipline comparisons I mostly rely on my calendar entries.

I've found the calendar to be extremely reliable -- knock on wood -- over long time horizons (I have exercise data going back to 2016). Also, it's very flexible. I store additional metadata, e.g. the distance of a run, in the event description.

At some point I explained this a bit more in this post: https://kevinkle.in/posts/2018-10-21-running-log/

The teams I've been working on have resorted to data tests instead of code tests. That means that the data produced by your code is tested against a certain set of expectations - in stark contrast to code being tested _before_ its execution.

We've written our own tool to compare different data sources against each other. This allows, for example, to test for invariants (or expected variations) between and after a transformation.

The tool is open source: https://github.com/QuantCo/datajudge

We've also written a blog post trying to illustrate a use case: https://tech.quantco.com/2022/06/20/datajudge.html

For a reason I haven't been able to distill I really appreciate it when people known for one facet of their personality (here: being a big shot in crypto) have the courage to be open about other, much less impressive facets (here: writing about mundane practicalities) of their lives as well.

Life Monitor 4 years ago

I agree that what you suggest is more useful in many scenarios, particularly when one care about _monitoring_ of performance.

Unlike the rest of the notifications, my ambition with this cumulative distance plot was rather to intervene by cheering than to observe by analyzing. Put differently, I tried to gamify the yearly distance - as if I was racing against last year's version of myself. I'm not advocating for this, I just liked the idea at some point.

Life Monitor 4 years ago

That's a great point! I vaguely tried to go in that direction by plotting the average over the past 7 days, the average over the 7 days before and the average over the year to date. Yet, I fully agree one might want to push this a little further and do as you describe. Thanks for the suggestion!

My current setup is also slightly dissatisfying in that regard. What's nice (or rather a consolation) about orgzly - the mobile app I use - is that upon conflict, it explicitly offers to either choose the remote or the local version. At first I was worried it would simply attempt to always overwrite based on the local version.

While you could argue that, you could also argue that this activity is prevalent in a 'very similar' way in the consumer's life already. Not so much for violence.

"Migrating elections to a technology one needs mathematics/CS PhD to understand just a part of from technology that can be understood by a middle schooler doesn't seem all that great."

I for one am quite happy that a migration from horse carriages, understandable by a middle schooler, to cars and trains has happened.

I don't have a position on using the blockchain for elections, I'm just not convinced by your point.

I'm curious as to why you think that lacking impact is due to dissimilarities between humans and test subjects. My best guess would have been that a lack of incentives for parties with the power to realize such advancements are overweighing.

In how far is the success of Amazon(I suppose that success is what you mean by 'the fact of Amazon') to be associated with intelligence? Might there be some survivorship bias or halo effect at work? Nassim Taleb writes that if you place a sufficiently large number of monkeys in front of typewriters, one will end up writing the Iliad.