Here’s your weekly dose of treats 💌
A weekly lists of goodies curated by Robert.
Follow the white rabbit 🐇
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🎶 Something to pump you up while browsing through this stuff
Complex, fiery and divisive stuff I’ve been reading
📝 Revising the 50 ideas that changed my life by David Parell
Bike-Shed Effect: A group of people working on a project will fight over the most trivial ideas. They’ll ignore what’s complicated. They’ll focus too much on easy-to-understand ideas at the expense of important, but hard to talk about ideas. For example, instead of approving plans for a complicated spaceship, the team would argue over the color of the astronaut’s uniforms.
⭓ Robustness principle sounds decent
In computing, the robustness principle is a design guideline for software: Be conservative in what you do, be liberal in what you accept from others (often reworded as "Be conservative in what you send, be liberal in what you accept").
I would add a more progressive touch to my overall blend of thoughts.
🫀 Love’s contradictions: Catullus on the agony of infatuation
How is it possible, in terms of logic or emotion, to feel both hate and love towards the same person at the same time?
I hope this post can shift the conversation a little bit. Instead of blindly hoping that “willpower” saves us, I think we can try to engineer self-regulating mechanisms.
🧠 Feedback loops by Daniel Gross
At our core, humans aren’t that complicated. We’re a reinforcement learning algorithm that responds to feedback loops. But we have a bug: when an immediate reward is presented, we forget about any future form of penalty or reward.
⛏️ Dig your well before you're thirsty
In a nutshell it’s the idea that you should prepare in advance, and build whatever tools, skills or resources you believe you will need later in life. Later could be tomorrow morning, or in five years. But the more you do in advance to prepare, the better adapted you’ll be to take advantage of opportunities.
🧬 Natural Selection in Contemporary Humans is Linked to Income and Substitution Effects
Consistently over time, polygenic scores associated with lower (higher) earnings, education and health are selected for (against). The direction of natural selection is reversed among older parents (22+), or after controlling for age at first live birth. These patterns are in line with economic theories of fertility, in which higher earnings may either increase or decrease fertility via income and substitution effects in the labour market. Studying natural selection can help us understand the genetic architecture of health outcomes.
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A genetic perspective on the association between exercise and mental health in the era of genome-wide association studies
Regular exercise is associated with mental health throughout the life course but the chain-of-causality underlying this association remains contested.
Prospective designs also address the potential problem of reverse causality. Reverse causality in the exercise-mental health association arises when mental health itself is a necessary condition to engage in regular exercise. Emotionally well-adjusted, outgoing, self-regulating and self-confident individuals with low levels of stress could be simply more attracted to sports and exercise, and only such persons may have the necessary energy and self-discipline to maintain an exercise regime. Prospective designs can demonstrate (or rule out) the existence of such reverse directional causation by adding a prediction of the exercise behaviour at follow-up by mental health at baseline.
🧞 The Quantum Field Theory on Which the Everyday World Supervenes
Once a model is tested within some domain (of energies and interaction strengths), we can be confident that it will continue to be accurate within that domain. We have reason to be confident that the laws of physics underlying the phenomena of everyday life are completely known.
🐦 Predicting Mental Health From Followed Accounts on Twitter
Exploratory analyses revealed that anger, but not the other constructs, was distinctly reflected in followed accounts, and there was some indication of bias in predictions for women (vs. men) but not for racial/ethnic minorities (vs. majorities). We discuss our results in light of theories linking psychological traits to behavior online, applications seeking to infer psychological characteristics from records of online behavior, and ethical issues such as algorithmic bias and users’ privacy.
👽 My latest YouTube video
Announcement
We hit 4K YouTube subscribers last week!
Thank you for being part of this community!
I'm planning to do a Q&A video for the 5K milestone.
It is not a bad thing to celebrate a simple life.
- Bilbo Baggins
🐦 Tweets for thought
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Thank you for reading 🤜🤛
If you enjoyed this, maybe I can tempt you with my YouTube channel.
My website is here.
💌 My Favorite Links: articles I've enjoyed, podcasts, tech, software, ideas, and personal philosophies.
I do share some thoughts on 📰 Instagram & on 🐦 Twitter.
✍️ Medium at some point.
🔴 Discord server for the community.
Again, you can also reach out via Instagram, Twitter, or using gravitational waves.
That said, how’re you and yours doing this week? Any major changes to your status quo, or are things fairly locked-in and predictable at the moment?
I respond to every email I get—consider sending me a message and telling me a bit about yourself and what’s been up in your world.
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Have a great day ahead!