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How accurate is your Apple Watch?

A new meta-analysis from the University of Mississippi reviewed 56 studies comparing Apple Watch data to clinical tools.
Result:
✔️ Accurate for heart rate (4.4% error)
✔️ Fair for step counts (8.2% error)
⚠️ Inaccurate for calories burned (28% error)

Wearables are useful for habits and motivation—but not diagnostic tools.
Full study: olemiss.edu/news/2025/06/apple
#Wearables #FitnessTracking #HealthTech #AppleWatch #SportsAnalytics #QuantifiedSelf

olemiss.eduStudy Examines How Well Wearable Tech Tracks Fitness Metrics | Ole Miss

"Eventually, I stopped responding to my body. I was responding instead to a dashboard." — @Daojoan

This is a great point and very much translates to so many other parts of life/work where people stop listening to their "body" (or to their org/product/offering), outsourcing/numbing/dumbing down their decision making based on dashboards of collected metrics and then changing their behaviors on auto-pilot to improve said metrics — without ever asking themselves if the data collected actually represents answers to the right (or even important) questions...

Metrics always invite comparison & competition — on a global scale — often without considering our own subjective contexts/needs/limits/aims...

Does the number of copilot prompts per day on a CTO dashboard indicate a highly productive developer or does a big fat zero merely show a different approach to problem solving?

Does the lack of constant updates to a FLOSS project mean it's become neglected/unusable or does it simply indicate it reached a level of stability?

Likewise, does my product/app need constant UI changes/updates to "streamline" user experience (often without even consulting users) based on some "goal" metrics?

Am I seen as an unproductive FLOSS developer if my public commit log doesn't show daily updates? Do gaps indicate laziness, illness, deep thinking or work on other projects? Like gaps in a CV, will these gaps of activity data hinder future employment chances or would I even want to work with orgs who select on this criteria?

Is a hike only good/better because it exceeds X kilometers or Y elevation meters? How does one measure the stunning views or the quality of the company which shared that experience?

joanwestenberg.com/why-i-gave-

Westenberg. · Why I Gave Up My SmartwatchSomewhere between the first time I tapped my wrist to skip a song and the three hundredth time I anxiously checked my resting heart rate, I started to hate my Apple Watch. The promise of the smartwatch was elegance, convenience, optimization. What I got was constant data drip, subtle panic,

You know what would be really cool? A #quantifiedself person influence monitor. Say I have a #Fitbit and Joe has a Fitbit, we could have them detect when we are in proximity (if both people agreed) and then it would let us know over time how being around the other person influenced us - e.g. did heart rate variability increase or decrease (do they relax us or cause stress), did we burn more calories (maybe we usually go on hikes together), did we sleep better that night, and so on.

There are definitely people in my life who I'm pretty sure have significant effects on me in both directions, it'd be awesome to quantify them.

It would also be cool if one could do this without data sharing - e.g. maybe one presses a button on ones device to indicate one has entered x's presence and again when one has exited...

Honestly, I'd totally forget to do this...so something passive would be better - e.g. when you want to start tracking the next time you are around someone you press a button and it scans for electronic signatures and identifies Bluetooth etc. uniquely so that when you are around then it auto knows and can record...

The latter raises issues of #consent and #privacy...I'm not sure how/if one could do this in an ethical manner...but I'd like to have it 😂

As part of moving away from iOS, I've also replaced my Apple Watch with a Garmin device. Which means I'll have to figure out a way to get some of those data out to display it in my website footer!

Does anyone have a recommendation/existing solution for how to export small chunks of that data in regular intervals to an HTTP endpoint? Or will I have to learn how to use the Garmin API after all? 🙈

Continuous glucose monitoring is kind of a miracle, but one of the shortcomings of the one I use (FreeStyle Libre) that I find irksome: a precipitous decline in blood sugar will cause the sensor to go offline. It’s always, always a sharp decline, but never for a spike.

Glucose shooting up because you’ve been irresponsible? Nope, we saw that. It’s in your permanent record.

Glucose coming down fast because you’re doing something good for yourself? We’re gonna take a break. You don’t need that accomplishment in your graph, do you?

Теоретические и практические рассуждения об оцифровке отдельных аспектов личности

В контексте ИИ в статье понимается использование комплекса механизмов на основе LLM + reasoning + agents + RAG + ML. В контексте статьи оцифровка личности или самодигитализация – это практика всеобъемлющей записи и оцифровки различных аспектов жизни человека. Идея статьи заключается в обзоре теоретических и практических аспектов создания «единого цифрового архива всего опыта индивида» – то есть фиксировании практически полного набора мыслей, переживаний и действий человека в цифровой форме. Для этого используются разнообразные средства: от носимых сенсоров и приложений до "цифровых дневников". Концептуально самодигитализация близка к движениям Quantified Self и лайфлоггинга , цель которых – « самопознание через сбор данных о себе с помощью технологий ». В итоге получается постоянный поток персональных данных – своеобразная «чёрная коробка» жизни человека, превращающая его повседневный опыт в данные, пригодные для хранения, анализа и воспроизведения.

habr.com/ru/articles/886026/

ХабрТеоретические и практические рассуждения об оцифровке отдельных аспектов личностиСодержание статьи Введение в самодигитализацию Методы сбора и агрегирования данных Роль ИИ в анализе и персонализации Цели и мотивация самодигитализации Современные тренды и актуальность Инструменты...

En 2024, j'ai ajouté 19 000 mots à mon journal. J'ai oublié de l'écrire le jour même 4 fois, et je n'ai pas pu 4 autres fois. J'ai utilisé le verbe « être » 787 fois, 30 fois plus qu'« avoir ».
La personne la plus citée l'a été 93 fois.
Je n'ai utilisé qu'une fois les termes « protagoniste », « orfèvrerie » et « embrasser »

I analysed the #Mastodon posts I've made over the last 2+ years for the clients I've been using, and created some charts.

The first one is the pie chart of the post count by clients. @ivory for Mac is the winner here, with 30% posts made using it. @phanpy and the default Mastodon web client are seconds at 22%. @trunksapp is third at 12%, and @elk comes fourth at 10%.

The second chart shows the post count split by clients over time. It shows that I started with using the web client for the first few months, tried Ivory, trunks and Elk for the next few months, and then settled on using Ivory on my laptop and trunks on my phone. Few months later, I replaced trunks with Phanpy, and then continued using the Ivory-Phanpy combo consistently for over a year, with few posts being made from Web, Elk and trunks. The last bar shows me trying to replace Ivory with Phanpy as my sole major client.