This is called “game denial”.
Yet the game is always on.
Examples of game denial: free immigration for all, communism, universal basic income, everyone is equal, unconditional pacifism, a lot of feminism.
(Yet pure “game acceptance” is equally wrong, of course.)
What is “game denial”?
(1/6)
“Life is a game.
Since we inhabit a world of limited resources, our daily lives are full of zero-sum interactions where one party walks away with a prize while another leaves the table empty-handed; games with winners and losers. If you and I want the same spouse, the game is on. If you and I want the same job, the game is on. If you want to argue against this way of seeing the world, the game is on. There is no denying it, even when you do.”
(2/6)
“Yet, many of us frequently fall victim to what I call “game denial”: the inability to perceive, or a negligence of, the logical and behavioral rules that regulate human relations. Game denial is when you ignore or “wish away” certain uncomfortable truths regarding human relations and how reality works. Or simply when you deny the realities of life and forcefully impose your own “ought” upon what “is”.”
(3/6)
“Crimes against actuality are crimes against humanity, against all life on our planet.
Since game denial often “sounds nice”, it may be more convenient to defend in a public debate (because you can easily take the moral high ground), but in actual reality, in a given context, it tends to have negative or otherwise unsustainable consequences. You pretend that the world works by rules which it does not.”
(4/6)
“Game denial means to hate the game and try to eradicate it. It can take the form of liberal political correctness or, in its extreme form, crude communism. But the game won’t go away. You can’t eradicate it with a “let’s all be friends”.”
“The first victim of game denial is the truth. Its next victim is the innocent child who has to suffer the consequences of your lies. Crimes against actuality are crimes against humanity and all life on our planet.” (5/6)
Eliminating back & neck pain might not sound important, so looking at the data might surprise you. While we have all heard of the prevalence of diabetes and heart disease, we are often ignorant of the "global burden of disease" of other causes.
Firstly, what is the "global burden of disease" and what are "DALYs"?
DALYs measure "how bad a disease is". The metric combines years of life lost (YLL) and years lived with the disease (YLD). DALY means "disability-adjusted life year".
The "global burden of disease" can then quantify how bad different diseases are for the global health of humanity. So, what are the total DALYs for humanity from neck and back pain?
2/7
The total "global burden of disease" from neck and back pain is not that impressive: Only 2.42% for back pain and 0.71% for neck pain. Still, it might surprise you that it shows up as significant at all.
But the way DALYs are calculated hides an important fact about the cause! It is way larger.
Glad to see both Frozen 2 songs that are secretly teaching computer science, made it into the top 30 of this music theory expert’s list. A delightful ranking of Disney songs.
Here’s how to turn the (next) time you watch Frozen 2 with your kids into a first lesson on algorithms 🧵 (1/4)
1. “Into the Unknown”: Explore-Exploit Tradeoff
Elsa is in a beautiful castle with her loved ones. A voice calls her to adventure. She could potentially find something even better, but this could mean losing what she has! She sings: “Everyone I’ve ever loved is here within these walls […] I’m afraid of what I’m risking if I follow you, Into the unknown”
The song “Into the Unknown” shows the internal struggle of optimizing the exploration-exploitation trade-off…
(2/4)
2. “The Next Right Thing”: Greedy Algorithm
The Frozen 2 song “The Next Right Thing” shows the problem of computational complexity and solves it with a greedy algorithm. Anna sings: “I won’t look too far ahead It’s too much for me to take”
She can’t figure out what the best thing to do is. Thinking through all options and their implications is too much, especially because she is grieving and in emotional pain. Similarly, the cost of calculating through a whole problem space to find the best solution is very costly for an algorithm. This is the problem of “computational complexity”. Instead of brute-forcing an optimal solution, simpler heuristics are used. They are less costly and still find relatively good solutions. So does Anna as she focuses on taking one good step at a time: “break it down to this next breath, this next step This next choice is one that I can make So I’ll walk through this night Stumbling blindly toward the light And do the next right thing”
Do you want to learn more about complexity science?
Here are eight plus resources:
(Links in the last tweet of the thread!)
1.) The Map of the Complexity Sciences by @complexcase and @GerritsLasse gives an excellent historical overview of scholars, intellectual traditions, themes, and topics of study. The full map also contains clickable links.
2.) The Santa Fe Institute @sfiscience
- offers online courses and tutorials by their researchers on @ComplexExplorer
- and makes the best work in the complexity science available in print by @SFIPress.
In 2024 they published "Foundational Papers in Complexity Science" in four Volumes: "This project maps the development of complex-systems science through eighty-nine revolutionary works originally published between 1922 and 2000. Curated by SFI President David C. Krakauer, each seminal paper is introduced and placed into its historical context, with enduring insights discussed by leading contemporary complexity scientists." Volume III and IV will be available to order later in 2024.
3.) The Complexity Podcast by @sfiscience, with season One by @michaelgarfield and a new version under the name of "Physics of Life"
Here are 14 images to better understand cognitive science visually 🧵
(From a lecture I gave for @pgmid's BrainInspired discord community)
1. The SLOAN Foundation report (1978) described the state of cognitive science research to "discover principles whereby intelligent entities interact with their environments".
= most commonly used visual representation
More e.g. in Miller (2003) & Gardner (1987)
2. From the same SLOAN report follows an overview of the "SUBDOMAINS OF COGNITIVE SCIENCE". Each unbroken line represents an interdisciplinary inquiry that already existed in 1978. The dotted lines represent issues that had not yet become the focus of major scholarly efforts.