Don’t ask for forgiveness, radiate intent

Source: https://medium.com/@ElizAyer/dont-ask-forgiveness-radiate-intent-d36fd22393a3

Here are 4 reasons that radiating intent is better than begging forgiveness:

  • Radiating intent gives a chance for someone to stop you before you do a thing, in case it’s truly harmful
  • Radiating intent gives people who have information, or want to help, an opening to participate
  • Radiating intent leaves better evidence of your good will
  • Radiating intent shows others that adventurous behavior is acceptable in the org.

Radiating intent also has the advantage over asking permission that the “radiator” keeps responsibility if things go sour. It doesn’t transfer the blame the way seeking permission does, which is good. We should be responsible for our choices.

An example of radiating: I recently spent a day working from Canada. I’m still not sure if it was allowed, but I mentioned it to my supervisor. I mentioned it to my supervisor’s supervisor. I mentioned it to more than a few colleagues. One of them told me I could request permission for my work phone to be used internationally. I did this. It worked. There were many chances for a slow-mo “Noooooooooo” if this travel was going to cause a problem. read more

Sustainability + Opensource = Win

I really like this sort of manifesto from Bruno (an open source alternative to Postman, Insomnia, ++) – which is a API testing tool. Building useful open source tools or products is generally a labor of love (= Github Stars), but sometimes the love fades (= Github Forks), and inevitably no one wins (= Github Unfollow). As an open source developer, and consumer is to have zero expectations – I got this product for “free” and I am sharing this product for “free” is generally part of my ambitions.

However, many consumers of open source software want to the product to grow and thrive at that free tier which is more often than not unreasonable. This sus up some options around the lifecycle surrounding open source and what consumers, and developers should expect. read more

Bucket List: Golf Courses

Aside from all the courses I have been lucky enough to play, I think these are still my Top 10 courses I am wanting to play:

CourseLocation
Whistling StraitsKohler, WI
Erin HillsErin, WI
Augusta NationalAugusta, GA
Bandon Dunes (Multiple Courses)Bandon, OR
Pebble BeachPebble Beach, CA
Shadow CreekLas Vegas, NV
St. AndrewsSt. Andrews, Scotland
Bethpage State Park: BlackFarmingdale, NY
TPC Sawgrass

Is Hypoxanthine the future for monitoring endurance performance?

Super interesting article on the use of Hypoxanthine (from sweat) being used as a predictor of performance in athletes.

Having done HR tracking, Power and over the last couple of years, Lactate, it’s always interesting to hear of new methods and advancements in performance, and opportunities to improve metabolic health. So while I am still waiting for a reasonable/practical real-time Lactate monitoring solution, maybe I should skip to the next big thing …

Check it out here: https://pubmed.ncbi.nlm.nih.gov/23670363/

Abstract

Purine metabolism reflects the exercise-induced muscle adaptations and training status. This study evaluated the utility of plasma hypoxanthine in the prediction of actual sport performance. We studied male athletes: 28 triathletes (21.4±2.9 years), 12 long-distance runners (23.2±1.9 years), 13 middle-distance runners (22.9±1.8 years) and 18 sprinters (22.0±2.7 years). Season-best race times were considered, achieved over standard triathlon, 5 000 m, 1 500 m and 100 m, respectively. Incremental treadmill test was administered to determine maximum and “threshold” oxygen uptake. Resting and post-exercise plasma concentrations of hypoxanthine, xanthine, uric acid and lactate were measured as well as resting erythrocyte hypoxanthine-guanine phosphoribosyltransferase activity. Simple and multiple regression analyses were used to identify significant contributors to the variance in performance. Hypoxanthine considered alone explained more variance in triathletes, long-distance runners, middle-distance runners and sprinters (r 2=0.81, 0.81, 0.88 and 0.78, respectively) than models based on aerobic capacity and lactate (R 2=0.51, 0.37, 0.59 and 0.31, respectively). Combining purine metabolites and cardiorespiratory variables resulted in the best prediction (R 2=0.86, 0.93, 0.93 and 0.91; r=0.93, 0.96, 0.96 and 0.95, respectively). In summary, hypoxanthine is a strong predictor of performance in highly trained athletes and its prediction ability is very high regardless of sport specialization, spanning the continuum from speed-power to endurance disciplines. read more