This looks impressive for Linux, and I’m glad FLOSS has such an impact! However, I wonder if the numbers are still this good if you consider more supercomputers. Maybe not. Or maybe yes! We’d have to see the evidence.

Sorry if you know this game, but I’ve met plenty of people who haven’t and I’ve never seen it mentioned online until I searched for it today: Contact!

I should clarify - rather than ‘backfire,’ exaggeration in Majority Judgment either does nothing or carries a social cost. Here’s why:

• If a minority exaggerates votes, the median stays unchanged.
• If everyone exaggerates equally, the same winner emerges, but an artificial high tide of exaggerated grades obscures the real depth of public opinion. This defeats one of MJ’s key strengths: the ability to show when all candidates are viewed poorly and therefore create pressure for better options.

Regarding partisan concerns: Yes, MJ is vulnerable if partisan blocks coordinate to exaggerate grades. However, MJ offers two meaningful advantages in a two-party system:

1. Voters can grade third-party candidates highly without ‘wasting’ their vote, as they can still support their party’s candidate.
2. Once again, poor candidates from both parties could receive revealing low grades, encouraging better alternatives.

Of course, you were hinting at the fact that MJ’s success in a two-party system depends on fostering a political culture where candid evaluation flows more freely than partisan loyalty. But this is the current that all voting systems must swim against; partisan pressure can steer dolphins’ fins at the polling station regardless of the method used.

Either ranked-choice voting or majority judgement.

Thanks for sharing your method.

As to your take on Anki, I think it’s fair and accurate. I agree with you in that the learning curve is not in the features or the interface, but as you said: in the pacing. I really hope I can try to space the cards as much as possible, so that a regular practice doesn’t become burdensome.

I’m generally skeptical of comments on the internet, so almost every time I have read comments like this one that you’re reading right now, I’ve been like “yeah right”. Kinda like how “lol” means “laughing out loud” but when you read it online you don’t really expect whoever wrote “lol” to have laughed out loud? Anyway, I was drinking coffee, I read your comment, I snorted in laughter, and now my white shirt is full of coffee.

I guess I’m also kinda mad at myself for laughing so hard at such a silly joke. Regardless, have an updoot 👍

and Bostrom’s simulation hypothesis and Pascal’s wager, all subject to serious validity threats. All of these thought experiments are unfalsifiable. They can all be explained with different theories. They all rely on circular reasoning. They all anthropomorphize entities that maybe don’t resemble humans at all. They all fall for the mind projection fallacy. They all are prey to selection bias, because they cherry-pick scenarios among countless alternatives.

Alright. Given that you’re interested in psychology, feel free to check these resources out: https://dnav.international/video-audio-resources/ https://dnav.international/wp-content/uploads/DNA-V-workbook-april-15-2020.pdf

These are introductions to Acceptance and Commitment Therapy.

You can also check out the Healthy Minds Program https://hminnovations.org/meditation-app

You mention not having money for therapy. There is evidence suggesting that therapy like Acceptance and Commitment Therapy is effective even if learned through books. What is important is to learn the mental processes that matter.

Here is an approach to therapy that you could try: https://youtu.be/o79_gmO5ppg

Sorry if my questions sound harsh. I genuinely want to know if this could help. How do you feel about reading books? Have you done it before? Do you have a place and time to read without distractions? Would reading from a device be feasible for you?

My brother has a Framework 13 and mainly uses a combination of NixOS and Windows. Most of the time he uses NixOS, but sometimes the software he needs is broken on Nix. When that happens, he reverts to a previous version of Nix or he boots onto Windows. He has Windows installed in one of the external-drive socket thingies that he keeps plugged in at all times in case he needs Windows.

Apart from the occasional broken Nix package, he has had issues with the hyper-sensitive two-finger scrolling in Gnome (which I would say is not directly a Framework or Nix problem). Also, a while back, when I bought the computer with him, we bought Oloy RAM because it was fast and cheap, but that lead to weird crashes. Framework support helped us test the sticks and eventually we sold those sticks and got the Framework-tested Crucial sticks, which solved the problem. Finally, I remember he had to be careful about not just closing the laptop but actually clicking “sleep” and then closing it, because otherwise it would get super hot and lose a lot of battery.

Despite these struggles, he recently told my Mac-loving girlfriend that he will not get a “disposable” computer. I take this to mean he will keep using his Framework laptop.

Professionals have large networks of neurons. They are sturdy and efficient from repeated use. Memory palaces help to start the construction of these large networks of neurons. Afterwards, as another commenter noted, the knowledge is deeply processed. Mnemonics are replaced by networks of meaning. It is no longer “This algorithm rhymes with tomato”, but “This algorithm is faster if the data is stored in faster hardware, but our equipment is old so we better use this other algorithm for now”.

Broadly, the progression of learning is: superficial learning, deep learning, and transfer. Check out Visible Learning: The Sequel by John Hattie for more on this.

Edit: To directly answer your question, experts have so many sturdy neural hooks on which to hang new knowledge that mnemonics become less and less necessary. Mnemonics may be particularly helpful when first learning something challenging, but are less necessary as people learn.

You could also check out a paradox called the expert paradox. We used to think memory is boxes that get filled. This idea was directly challenged by Craik and Lockhart’s Levels of Processing. Levels of processing supports the idea that “the more you know, the faster you learn”. Note that this is domain-specific. In other words, an expert in dog training won’t learn quantum mechanics faster than anyone else.

How do you choose what facts matter? How do you choose how to communicate them? Who do you communicate them to? What does news reporting mean to you? What about news reporting makes it worth your precious time alive? What purpose do the people around you have when they amplify, ignore, or quiet your facts? These are all questions that are answered, explicitly or not, by everyone who communicates or relates to facts.

We could play the impossible “no agenda” game. We could lie to ourselves and to others. Or, we could notice that whenever we are dealing with the truth, we have a point of view. We stand here and not there. We can learn to travel around the mountain of truth, so that we mitigate our blindspots. We can be explicit about where in the mountain we are standing (The north base? The vegetated slope? The summit?).

Instead of playing the “god trick”, we can situate our knowledge. That’s the best we can do. Check out this article by Donna Haraway on situated knowledge. It changed my life. https://philpapers.org/archive/harskt.pdf

I’d say feeling admiration for others. People who are kind, patient, insightful, and critical thinkers. People who look at how political goods (including wealth) are distributed and can think critically about it. Nutomic and Dessalines for sure.

These have been around for quite a while, but I recently learned about clipboard managers. I haven’t met someone who uses one, perhaps because it is an inconspicuous tool. Regardless, I love being able to quickly paste text that I use frequently!

I’m still testing them, so I can’t really say “this one’s the best”, but here’s one: https://hluk.github.io/CopyQ/

I see your concern for truth in any scenario, and I agree validity should be a constant consideration! However, bias and astroturfing are different. Bias is the lens that we use to look at reality. Astroturfing is forcing lenses onto many others without them knowing. It is a deliberate campaign.

I like the novelty/predictability ratio idea. There is also the idea of “create expectations and satisfy them”, which leads to a sense of stability. Our cultures and genres create expectations. Rhymes tied to a certain metric can become part of these expectations. Of course, you can also create expectations and frustrate them, which leads to a sense of instability. Searching for “fakeout rhyme” videos makes this evident. Pat Pattison, an expert in songwriting, could be a good source on this ☺️

The best habit perhaps is meditating daily and I developed it following Tiny Habits.

GTD is up there too!

I agree wholeheartedly. If you know how to build habits, habits can be fun and they can be tied to living a meaningful life! Tiny Habits, the book and framework, changed my life for the better.

I appreciate your passion for scientific literacy - it’s crucial for combating misinformation. However, I’d like to share some perspectives that might broaden our understanding of scientific knowledge and how it develops.

First, it’s worth noting that the distinction between “theory” and “hypothesis” isn’t as clear-cut as we might think. In “The Scientific Attitude,” Stephen McIntyre argues that what truly defines science isn’t a rigid set of rules, but rather an ethos of critical inquiry and evidence-based reasoning. This ties into the “demarcation problem” in philosophy of science - the challenge of clearly defining what is and isn’t science. Despite this ongoing debate, science continues to be a powerful tool for understanding our world.

Your stance seems to align with positivism, which views scientific knowledge as objective and verifiable. However, other epistemological approaches exist. Joseph A. Maxwell’s work on critical realism offers a nuanced view that acknowledges both the existence of an objective reality and the role of human interpretation in understanding it.

Maxwell defines validity in research not just as statistical significance, but as the absence of plausible alternative explanations. This approach encourages us to constantly question and refine our understanding, rather than treating any explanation as final.

Gerard Delanty’s “Philosophies of Social Science” provides a historical perspective on how our conception of science has evolved. Modern views often see science as a reflexive process, acknowledging the role of the researcher and societal context in shaping scientific knowledge.

Larry McEnery’s work further emphasizes this point, describing how knowledge emerges from ongoing conversations within communities of researchers. What we consider “knowledge” at any given time is the result of these dynamic processes, not a static, unchanging truth.

Understanding these perspectives doesn’t diminish the power or importance of science. Instead, it can make us more aware of the complexities involved in scientific inquiry and more resistant to overly simplistic arguments from science deniers.

By embracing some psychological flexibility around terms like “theory” and “hypothesis,” we’re not opening the door to pseudoscience. Rather, we’re acknowledging the nuanced nature of scientific knowledge and the ongoing process of inquiry that characterizes good science.

What do you think about these ideas? I’d be interested to hear your perspective and continue this conversation.

Anytime we talk about human behavior, it is a good idea to learn and use the lens of behavioral contextualism. What behavioral contextualism says is that all behavior should be understood in context, including internal contexts, such as thoughts and emotions, as well as external contexts, such as stimuli from environments and other people. Anything that you read here, including this comment, should be held as a hypothesis until we understand what things (words that come out of your coworker’s mouth or their behaviors, or your coworkers history or any other relevant factor) led to the behavior. It is crucial to understand what things mean to your coworker to make any sensible analysis.

This does not mean that we cannot start formulating good hypotheses. It would be a good idea to learn about contextual behaviorism. Another incredibly powerful lens is the recognition that your coworker is a mammal, and specifically a human being. The vast majority of humans need to feel connected and understood. This can be understood very well through the lens of emotionally focused therapy. Sue Johnson is a great resource to learn how certain kinds of conversations create connection in relationships. This lens will become useful if our contextual behavioral analysis concludes that the problems that you are describing are caused by a lack of a sense of connection. However, once again, contextual behaviorism is the way to go.

Here’s a ranked list of resources, considering comprehensiveness, accessibility, and practical utility:

1. “Acceptance and Commitment Therapy: An Experiential Approach to Behavior Change” by Steven C. Hayes, Kirk D. Strosahl, and Kelly G. Wilson

   • This book is considered a foundational text in contextual behaviorism and Acceptance and Commitment Therapy (ACT).
   • It’s comprehensive and includes numerous clinical examples.
   • While it’s aimed at clinicians, it’s relatively accessible to motivated lay readers.

2. “Learning RFT: An Introduction to Relational Frame Theory and Its Clinical Applications” by Niklas Törneke

   • This book provides an excellent introduction to Relational Frame Theory, a key component of contextual behaviorism.
   • It’s written in a clear, accessible style with many examples.
   • It’s particularly useful for understanding how language and cognition influence behavior.

3. “The Act in Context: The Canonical Papers of Steven C. Hayes” edited by Steven C. Hayes and Stefan G. Hofmann

   • This collection of papers provides a deep dive into the theoretical foundations of contextual behaviorism.
   • It’s more academic in nature but offers a comprehensive overview of the field’s development.

4. “A Liberated Mind” by Steven C. Hayes

   • This is a self-help book based on contextual behaviorism principles.
   • It’s very accessible and includes numerous exercises and examples.
   • While not as comprehensive as academic texts, it’s excellent for practical application.

5. “Contextual Behavioral Science: Creating a Science More Adequate to the Challenge of the Human Condition” by Steven C. Hayes and Stefan G. Hofmann

   • This book provides a broader overview of contextual behavioral science.
   • It’s more advanced and theoretical but offers valuable insights into the philosophical underpinnings of the approach.

If and only if the contextual behaviorist analysis concludes that human connections is the issue, Sue Johnson’s texts will be great to understand your coworker. Otherwise, the contextual behavioral analysis will let you know what’s going on.