I think pretty much all progress in psychology can be summed up as “overturning intuitions.”

One way to remember this is to treat the infinite game of evolutionary success as a sort of Zeno’s paradox turned around. You never reach the finish line because when you’re mediocre, you only take a step that’s halfway to the finish, so there’s always more room left to continue the game.

Mediocrity is the only source of advantage.

Data’s strategy of mediocrity is also the essence of guerrilla warfare of any sort. As Kissinger noted, the conventional army loses when it does not win. The guerrilla wins when he does not lose.

But while disruption always involves mediocrity, mediocrity does not always imply disruption.

When caring is possible, and some people actively care, not caring represents agency for other people over those who do.

what creates excellence is not that people are good at something, but because people care enough to be good at something.

Moravec’s Wedge. The problems that are hard for us are easy for computers. The problems that are easy for us are also easy for computers. What is hard for computers is being mediocre.

Moravec’s paradox is an observation based on the history of AI: the problems thought to be hard turned out to be easy, and the problems thought to be easy turned out to be hard.

I like to think of laziness — manifested as mediocrity in any active performance domain — as resistance to optimization.

Errors propagate a lot faster than they can be repaired. […] If something is screwy, can we trace the calculation back and figure out which input it depends on? Philip Agre

Philip Agre enumerated five characteristics of data that will help us achieve this repositioning. Agre argued that “living data” must be able to express 1. a sense of ownership, 2. error bars, 3. sensitivity, 4. dependency, and 5. semantics. Although he originally wrote this in the early 1990s,Phil Agre. “Living Data.” Wired, November 1, 1994. it took some time for technology and policy to catch up. I’m going to break down each point using more contemporary context and terminology: Provenance and Agency: what is the origin of the data and what can I do with it (ownership)? Accuracy: has the data been validated? If not, what is the confidence of its correctness (error bars)? Data Flow: how is data discovered, updated, and shared (sensitivity to changes)? Auditability: what data and processes were used to generate this data (dependencies)? Semantics: what does this data represent?

Identity is a natural place to start when talking about people. The following discussion is based on two observations: 1) data naturally reduces complex conceptions of identity into coarse representations and 2) data about identity is generally held in systems far away from the people they identify.

I have often described imag­i­na­tion as a muscle — one that, like any other muscle, can be developed.

Dr. Sönke AhrensOn page 117 of "How to Take Smart Notes" you write the following: "The slip-box not only confronts us with dis-confirming information, butalso helps with what is known as the feature-positive effect (Allison andMessick 1988; Newman, Wolff, and Hearst 1980; Sainsbury 1971). This isthe phenomenon in which we tend to overstate the importance of informationthat is (mentally) easily available to us and tilts our thinking towards the mostrecently acquired facts, not necessarily the most relevant ones. Withoutexternal help, we would not only take exclusively into account what weknow, but what is on top of our heads.[35] The slip-box constantly remindsus of information we have long forgotten and wouldn’t remember otherwise –so much so, we wouldn’t even look for it."My question for you: Why have you chosen to use the Feature-Positive Effect as the phenomenon to make your point and not the recency bias?The recency bias seems more aligned with your point of our minds favoring recently learned information/knowledge over already existing, perhaps more relevant, cognitive schemata.To my mind, the FPE states that it is easier to detect patterns when the unique stimuli indicating the pattern is present rather than absent... In the following example:Pattern in this sequence: 1235 8593 0591 2531 8532 (all numbers have a 5; the unique feature is present) Pattern in this sequence: 1236 8193 0291 2931 8472 (no numbers contain a 5; the unique feature is absent)The pattern in the first sequence is more easily spotted than the pattern in the second sequence, this is the feature-positive effect. This has not much to do with your point.I do get what you are coming from, namely that we are biased towards what is more readily in mind; however, the extension of this argument with the comparison of relevance vs. time makes the recency bias or availability heuristic more applicable; and also easier to explain in my opinion.Once again, I am simply curious what made you choose the FPE as the phenomenon to explain.I hope you take the time to read this and respond to it. Thanks in advance.Sources in the comments

Hey Matthew, it's a fair point. Without having the whole passage or a previous draft in front of me, it could be simply the outcome of the editing process. It does read like you said: as if I had recency bias in mind (next to other fitting ones), which then got lost after having shortened it for readability. That's my best guess. Even though it is tempting in these cases to come up with some post-hoc, smart sounding reason...

Thiel’s law: a startup messed up from the start will fail.

And when nations have opted out, when they have burned their scientific texts, and have opted out of the struggle, they are dominated by other nations. This happened to China – Japan was the country that attempted to dominate it.

the subversion FAQ http://subversion.tigris.org/faq.html#binary-files has = " ... if any of the bytes are zero, or if more than 15% are not ASCII printing characters, then Subversion calls the file binary. This heuristic might be improved in the future, however."

So it’s far simpler to take egregores as the main unit, and tulpas as just a shorthand for anthropomorphic egregores, more intense because we encounter them more often.

Historically, the stablest sovereigns both trade and save in an exogenous currency, such as gold or Beanie Babies. A sovereign company whose people must save in its own sovereign equity is weird; one which buys imports in its sovereign equity is weirder. The former is as if Microsoft made an online game whose currency was MSFT stock. The latter is as if Microsoft bartered MSFT stock for office chairs.

The traditional UNIX command line is a showcase of small components that do exactly one function, and it can be a challenge to discover which one you need and in which way to hold it to get the job done. Piping things into awk '{print $2}' is almost a rite of passage.Another example of the single responsibility principle is git. Although you can use git checkout to do six different things to the repository, they all use similar operations internally. Despite having singular functionality, components can be used in very different ways.

Everything can be broken into smaller parts—the trick is knowing when it’s an advantage to do so.

Gather responsibilities to simplify interactions between them

As Sandi Metz put it, “duplication is far cheaper than the wrong abstraction”.

“Don’t Repeat Yourself” turns into “Always Use an Abstraction”.

“nations stumble upon [social] establishments, which are indeed the result of human action, but not the execution of any human design”

(alternate phrasing for Chomskyites: technology increases the efficiency of manufacturing consent in the same way it increases the efficiency of manufacturing everything else)

I know that “capitalists sometimes do bad things” isn’t exactly an original talking point. But I do want to stress how it’s not equivalent to “capitalists are greedy”. I mean, sometimes they are greedy. But other times they’re just in a sufficiently intense competition where anyone who doesn’t do it will be outcompeted and replaced by people who do. Business practices are set by Moloch, no one else has any choice in the matter.

If supply of tulpas is limited, then they implicitly have a price.

The notion of compression adds far more nuance. Suppose a fictional character reminds me of my friend; by watching a movie, I feel like I’m hanging out with my friend, helping me to maintain that tulpa even if I haven’t seen them for years. So large social networks create tulpa externalities which can be positive or negative.

Most people are not logical; most people are emotional.

your old principles were just obsolete propaganda.

Principled people always fall into the propaganda trap. They are educated to believe that the crowd is always right, that people are people regardless of their ancestors. They have no idea that these principles came to them from propaganda. They believe their principles not even because they are useful, but because they were once useful.

Cassandra Effect in sci-fi writing: those with the prophetic sense to tell the horrors of the future are fated to tell it with startling accuracy, and to never be believed.

the AST version of the code is vastly superior IMHO. The knowledge about what constitutes an access modifier is already encoded in the system so it makes more sense to just call the method to test the type of node. The regexp solution may be expedient, but it's not as resilient to change -- if new access modifiers are added in the future it's very likely this code won't be updated, which will be the source of a bug.

empathy is conserved

“charity begins at home.”

telescopic altruism is generally unaccountable to its intended ends.

We also tend to preferinformation we have seen more recently to informationwe learned a long time ago.

Harold Jarche looked at his most visited blog postings over the years, and concludes his blog conforms to Sturgeon’s Revelation that 90% of everything is crap. I recognise much of what Harold writes. I suspect this is also what feeds impostor syndrome. You see the very mixed bag of results from your own efforts, and how most of it is ‘crap’. The few ‘hits’ for which you get positive feedback are then either ‘luck’ or should be normal, not sparse. Others of course forget most if not all of your less stellar products and remember mostly the ones that stood out. Only you are in a position to compare what others respond to with your internal perspective.

you saw the inevitable blog posts in the blogosphere and the youtubers picked it up and if you actually did it like cold adaption it was very easy to see who actually did 00:04:34 it themselves and then had some practical experience and some people like just researched it and like i think you you know it like when people say like the 12 best tips for x and y 00:04:47 yeah and um you have this kind of blog post that's obvious like easy grabs for content

Many writers have devised lots of little systems, and the fact that everyone into PKM mentions this one guy supports my argument. What percentage of history's greatest and most prolific writers did not use a Zettelkasten? More than 99%, probably. Luhmann is an exception that proves the rule.

name means a slit box in german as in like a slip of paper a box containing such slips of paper it was invented or at least the modern form was described by a sociologist 00:02:32 named nicholas lumon

Now, this may seem counter-intuitive to anyone who spendsmuch time watching the news, let alone who knows much about thehistory of the twentieth century.

Instead, [Peter was saying] they do it all probablistically.

there’s no spec for a search engine, since youcan’t write code for “deliver links to the 10 web pages that best match the customer’s intent”

the availability heuristic. The easier it is to access, the more relevant we think it is.

Omniheurist

An omniheurist is a person who can solve problems of all types. We are told that "the science of omniheuristics applies a mathematical approach to the solving of problems. Omniheuristics is more a method, a way of seeing things, than a specific field of study. Specialists may supply critical data, but the generalist omniheurist through insight and reason alone, finds the solution."

The most controversial crime-related posts get the most engagement. In turn, these posts are featured the most in users’ notifications because the algorithm knows those posts attract lots of likes, comments, and clicks.

What follows is a flexible, four-part lens for evaluating key possible dimensions of a CTL’s work — hub, incubator, temple, sieve — derived from a heuristic developed by others to categorize the literature on purposes of higher education (Stevens, Armstrong, & Arum, 2008).

As noted by Zerubavel, “[t]ime is definitely one of the principles that can best allow us to establish and organ-ise priority in our lives as well as to symbolically display it” [59, p. 53].

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heuristic

Here are a few other commonly used heuristics, from George Pólya's 1945 book, How to Solve It:[2] If you are having difficulty understanding a problem, try drawing a picture. If you can't find a solution, try assuming that you have a solution and seeing what you can derive from that ("working backward"). If the problem is abstract, try examining a concrete example. Try solving a more general problem first (the "inventor's paradox": the more ambitious plan may have more chances of success).