misev

Joined 12 years ago

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Jun 27

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Have you compared it to pasta wrt cost? Intuitively I suspect pasta may come out cheaper if you consider the time+electricity requirements for preparing at home.

Comment · 3 months ago

You could rewrite it to

    int* ptr = ((v != 0) * lwr) + ((v == 0) * rwr);

I doubt it would be faster than the ternary though.

A personal recap of 2025: on running, LLMs, family, coffee, work dimitarmisev.com

1 misev 10 months ago 0 comments

Comment · 2 years ago

We're doing this sort of tracking in a Telegram group. We just send messages with a well-defined structure:

    <category code> <time> <optional description>

e.g.

    S 2000
    W 0800
    F 0900 banana
    P 1010
    ...

    (S = sleep, W = wake up, F = food, P = poop, etc.)

Every few months I copy paste the messages from Telegram into a text file and have a script to parse, clean it up and add the dates. Would be fun to try some data science on the past few years of this data.. at some point :)

Comment · 5 years ago

Coincidentally I have the Oura ring too, and my sleep HRV oscilates around 100ms; haven't compared with a strap in the morning though. Strange that you get such low values, maybe something faulty with the ring, or finger placement? It's possible also that the absolute values are not extremely accurate, but the relative trends are. Garmin for example requires a strap to measure HRV stress, even though the watch has an optical HR sensor, which leads me to think optical sensors are not so precise.

What an amazing improvement to 4:30 pace at 140 bpm btw! I've had a similar relative improvement over the first year when I think about it, from around 7:00 to 5:20-5:30 at 140 bpm. But my training was mostly 1km intervals at high end of zone 3 (still quite below threshold), translating to a lot of tempo running on average, plus one session of 200s or 400s faster intervals per week. Been stuck with little progress for a while though, and was thinking to try a more polarized approach like yours with higher volume; thanks for explaining it!

Comment · 5 years ago

I do a lot of running as well and have observed the same effects. After anaerobic sprints or a race of up to 10k, sleep HRV drops / HR is higher and running HR:pace is elevated for up to a week. However, usually this is then followed by some improvement in all of these metrics compared to the baseline before the hard workout. Anaerobic exercise builds/maintains especially fast-twitch muscles, and higher muscle mass has positive influence on many health markers; as we get older we slowly lose muscle mass, but the losses are predominantly fast-twitch muscles [1]. So I believe anaerobic workouts are very important, despite causing quite some stress temporarily. Totally agree they require a lot of recovery inbetween.

Unrelated, out of curiosity, when you say 80% of your training: is it in mileage/time? Or some effort metric like TRIMP, calories, avg. HR, or so? Or something else?

1. https://pubmed.ncbi.nlm.nih.gov/7493202/

Comment · 5 years ago

Anaerobic exercise may have a temporary bad effect on cortisol, how are the long-term effects though? In moderation I suspect it is a net positive long-term.

Comment · 5 years ago

You cannot automatically conclude that rasdaman comes on top because the author is also involved in its development, although it may be suspicious. I am also one of the authors and contributed to doing the benchmarks: our goal was to configure and implement the queries in the best way for each system and achieve comparable results. Note that this report was done almost three years ago, the results may be getting out of date.

This query language that looks like SQL is an official part of SQL now [1]. Surely there is place for integrated DB solutions that let you work with both relational and array data in one place? There are more benefits in this than just performance/scalability. Think of building services on top of big array datasets, beyond one-off data science experiments.