A quotation from C S Lewis

There are inquiries in which scanty evidence is worth using. We may not be able to get certainty, but we can get probability, and half a loaf is better than no bread.

C. S. Lewis (1898-1963) English writer, literary scholar, lay theologian [Clive Staples Lewis]
Essay (1950-10), “Historicism,” The Month, Vol. 4, No. 4 New Series (Vol. 190, No. 998 Old Series)

More about this quote: wist.info/lewis-cs/45027/

#quote #quotes #quotation #qotd #cslewis #empiricism #evidence #history #inquiry #investigation #likelihood #probability #speculation #surmise #theory #uncertainty

Lewis, C.S. - Essay (1950-10), "Historicism," The Month, Vol. 4, No. 4 New Series (Vol. 190, No. 998 Old Series) | WIST Quotations

There are inquiries in which scanty evidence is worth using. We may not be able to get certainty, but we can get probability, and half a loaf is better than no bread. Regarding historical inquiry based on incomplete evidence. First collected in Christian Reflections (1967). See also Howell (1659).

WIST Quotations

“I cannot teach anybody anything. I can only make them think.”*…

Death of Socrates, Jacques-Louis David (source)

Benjamin Ross Hoffman puts “the Socratic Method” into context– important, timely context…

There is a scene in Plato that contains, in miniature, the catastrophe of Athenian public life. Two men meet at a courthouse. One is there to prosecute his own father for the death of a slave. The other is there to be indicted for indecency. [or impiety– see here] The prosecutor, Euthyphro, is certain he understands what decency requires. The accused, Socrates, is not certain of anything, and says so. They talk.

Euthyphro’s confidence is striking. His own family thinks it is indecent for a son to prosecute his father; Euthyphro insists that true decency demands it, that he understands what the gods require better than his relatives do. Socrates, who is about to be tried for teaching indecency toward the gods, asks Euthyphro to explain what decency actually is, since Euthyphro claims to know, and Socrates will need such knowledge for his own defense.

Euthyphro’s first answer is: decency is what I am doing right now, prosecuting wrongdoers regardless of kinship. Socrates points out that this is an example, not a definition. There are many decent acts; what makes them all decent?

Euthyphro tries again: decency is what the gods love. But the gods disagree among themselves, Socrates observes, so by this definition the same act could be both decent and indecent. Euthyphro refines: decency is what all the gods love. And here Socrates asks a question Euthyphro cannot answer: do the gods love decent things because they are decent, or are things decent because the gods love them?

If decent things are decent because the gods love them, then decency is arbitrary, a matter of divine whim. Socrates is too polite to say so, but the implication is: if decency is defined by the arbitrary whim of our betters, who are you to prosecute your father?

If the gods love decent things because they are decent, then however we know this, we already know the standard for decency ourselves and can cut out the middleman. But then Euthyphro should be able to explain the standard. He can’t.

Euthyphro tries a few more times, suggesting that decency is a kind of service to the gods, a kind of trade with the gods. Each time Socrates gently follows the definition to its consequences, and each time it collapses. Eventually Euthyphro leaves, saying he is in a hurry. Socrates’ last words are a lament: you have abandoned me without the understanding I needed for my own defense.

This is usually read as a proto-academic dialogue about definitions. It is a scene from a civilization in crisis. A man is about to use the legal system to destroy his own father on the basis of a concept he cannot define, in a courthouse where another man is about to be destroyed by the same concept. And the man who cannot define it is not unusual. He is representative.

The indecency for which Socrates was being prosecuted seems to have consisted of asking just the sort of questions Socrates posed to Euthyphro…

[Hoffman sketches the culture and politics of Athens in the late fifth century, the role of the Sophists, and the (radical) role that Socrates played…]

… Plato also responded to his beloved mentor’s death by founding the Academy, a great house in Athens where philosophical reasoning was taught methodically. We still have our Academics.

Agnes Callard, in her recent book Open Socrates, wants Socrates to be timeless. She strips out the historical situation, strips out the aliveness that preceded the method, and ends up defending a method that’s obviously inapplicable in many of the cases where she claims it applies. Aristarchus did not need his assumptions questioned at random. He needed someone who could ask probing questions about his actual problem, from a perspective that didn’t share his assumptions about what was and wasn’t possible.

Zvi Mowshowitz, in his review of Callard’s book (part 1, part 2), argues at considerable length that the decontextualized version is bad. He is right. Cached beliefs are usually fine. Destabilizing them is usually harmful. Most people do not want to spend their lives in Socratic questioning, and they are right.

But Zvi has written a long polemic in two installments on the winning side of an incredibly lame debate about whether we should anxiously doubt ourselves all the time, responding to Callard’s decontextualized Socrates, not the real one. The real one did not devise a method and then apply it. He had a quality, something the oracle reached for the language of the tragedians to describe. And what was memorialized as a “method” was what happened when that quality met a city where every other participant in public life had stopped being alive.

Socrates invokes timeless considerations like logical coherence, and committing (even provisionally) to specific claims; these are very natural things to try to appeal to when people are being squirmy, dramatic, hard to pin down, and fleeing to abstractions that resist falsification.

Spinoza, in the Theologico-Political Treatise, similarly resituated the teachings of Jesus of Nazareth in their proper context. The political teachings of the Gospels to turn the other cheek, forgive debts, and render unto Caesar what is due to him, are instructions for people living under a hostile and extractive system of domination. Citizens of a free republic have entirely different duties. They have an affirmative obligation to hold each other accountable, to sue people who have wronged them, to participate in collective self-governance. The teachings are not wrong. They are addressed to a specific situation, and become wrong when mechanically transplanted into an inappropriate context.

The reason to recover the historical Socrates is not only accuracy about the distant past; it is that by seeing this relevant aspect of the past more clearly, we might see more clearly what we are up against now.

Socratic cross-examination requires an interlocutor who at least would feel ashamed not to put on a show of accountability. The people Socrates questioned were performing wisdom, but they were performing it because the culture still demanded that leaders seem accountable. They would sit for the examination, because refusing would be disgraceful, like breaking formation in a hoplite phalanx. Their scripts collapsed because the scripts were designed to look like real accountability, and real accountability is what Socrates brought.

There is a useful framework for understanding how public discourse degrades, which distinguishes between guilt, shame, and depravity. A guilty person has violated a norm and intends to repair the breach by owning up and making amends. An ashamed person intends to conceal the violation, which means deflecting investigation. A depraved person has generalized the intent to conceal into a coalitional strategy: I will cover for you if you cover for me, and together we will derail any investigation that threatens either of us.

The leaders Socrates questioned were, at worst, ashamed. They had taken on roles they couldn’t account for, and they wanted to hide that fact, but they still felt the force of the demand for accountability. When Socrates pressed them, they squirmed, they went in circles, they eventually fled. But they engaged. They felt they had to engage. The culture of Athens, even in its degraded state, still held that a man who refused to give an account of his claims was disgraced.

Depravity is a further stage, and Sartre described it precisely in his book Anti-Semite and Jew:

Never believe that anti-Semites are completely unaware of the absurdity of their replies. They know that their remarks are frivolous, open to challenge. But they are amusing themselves, for it is their adversary who is obliged to use words responsibly, since he believes in words. The anti-Semites have the right to play. They even like to play with discourse for, by giving ridiculous reasons, they discredit the seriousness of their interlocutors. They delight in acting in bad faith, since they seek not to persuade by sound argument but to intimidate and disconcert. If you press them too closely, they will abruptly fall silent, loftily indicating by some phrase that the time for argument is past.

The depraved person does not perform accountability. He plays with the forms of accountability to exhaust and humiliate the person who still takes them seriously. He is not running a script that is trying to pass as a perspective, collapsing only under the kind of questioning we still call Socratic. He is amusing himself at the expense of the questioner. Cross-examination does not expose him, because he was never trying to seem consistent. He was trying to demonstrate that consistency is for suckers. The Socratic method will not help him.

The Socratic method, if we can rightly call it that, was forged by the pressures confronted by a living mind in a city of the ashamed, people who still cared enough about accountability to fake it. It has nothing to say to the depraved themselves, who have dispensed with the pretense, though in a transitional period might expose them to the judgment of the naïve.

But the quality that preceded the method is something else.

What the oracle recognized in Socrates was not the ability to cross-examine. It was something closer to what it recognized in Euripides: the capacity to be present to what is happening, to see the person in front of you rather than the drama you are supposed to enact with them, to respond to the situation rather than to your script about the situation. To be alive.

We do not need a new method. Methods are what you formalize after you understand the problem, and we are not there yet. What might still help us is the quality that precedes method: the willingness to see what is in front of us, to say the obvious thing that everyone embedded in the performance is too scripted to see, and to keep reaching out to others even when the response is usually not even embarrassment but indifference, not even a failed defense but a smirk.

The oracle didn’t say Socrates had the best method. It said he was the wisest man, in a society oriented against wisdom. The “method” was just how aliveness was memorialized by a city that still cared enough to be ashamed of being dead.

The question for us is what aliveness looks like in a city beyond shame…

Eminently worth reading in full.

The Socratic Method and the importance of recognizing and responding to the times in which we live: “Socrates is Mortal

See also: “The real reason Socrates was given the death sentence– humiliating powerful people was not a key to success

Apposite: “What Separates The Great From The Petty In History” (“embracing the relentless ally of reality makes all the difference”)

* Socrates

###

As we inhabit our moment, we might send thoughtful birthday greetings to David Hume; he was born on this date in 1711. A philosopher, historian, economist, and essayist, he developed a highly-influential system of empiricismphilosophical scepticism, and metaphysical naturalism.

Hume strove to create a naturalistic science of man that examined the psychological basis of human nature. Hume followed John Locke in rejecting the existence of innate ideas, concluding that all human knowledge derives solely from experience; this places him amongst such empiricists as Francis BaconThomas Hobbes, Locke, and George Berkeley.

Hume argued that inductive reasoning and belief in causality cannot be justified empirically; instead, they result from custom and mental habit. People never actually perceive that one event causes another but experience only the “constant conjunction” of events. This problem of induction means that to draw any causal inferences from past experience, it is necessary to presuppose that the future will resemble the past; this metaphysical presupposition cannot itself be grounded in prior experience.

An opponent of philosophical rationalists, Hume held that passions rather than reason govern human behaviour, proclaiming that “Reason is, and ought only to be the slave of the passions.” Hume was also a sentimentalist who held that ethics are based on emotion or sentiment rather than abstract moral principle. He maintained an early commitment to naturalistic explanations of moral phenomena and is usually accepted by historians of European philosophy to have first clearly expounded the is–ought problem, or the idea that a statement of fact alone can never give rise to a normative conclusion of what ought to be done.

Hume denied that people have an actual conception of the self, positing that they experience only a bundle of sensations and that the self is nothing more than this bundle of perceptions connected by an association of ideas. Hume’s compatibilist theory of free will takes causal determinism as fully compatible with human freedom. His philosophy of religion, including his rejection of miracles and critique of the argument from design, was especially controversial. Hume left a legacy that affected utilitarianism, logical positivism, the philosophy of science, early analytic philosophycognitive sciencetheology and many other fields and thinkers. Immanuel Kant credited Hume as the inspiration that had awakened him from his “dogmatic slumbers.”

– source

Apropos the piece featured above, see Peter Kreeft‘s Socrates Meets Hume- The Father of Philosophy Meets
The Father of Modern Skepticism
(“A Socratic Examination of [Hume’s] An Enquiry Concerning Human Understanding“)

Portrait of David Hume by Allan Ramsay, 1766 (source) #Athens #culture #DavidHume #empiricism #history #Kant #philosophy #politics #scepticism #Socrates #SocraticMethod

I saw this on Mastodon and almost had a stroke.

@davidgerard wrote:

“Most of the AI coding claims are conveniently nondisprovable. What studies there are show it not helping coding at all, or making it worse

But SO MANY LOUD ANECDOTES! Trust me my friend, I am the most efficient coder in the land now. No, you can’t see it. No, I didn’t measure. But if you don’t believe me, you are clearly a fool.

These guys had one good experience with the bot, they got one-shotted, and now if you say “perhaps the bot is not all that” they act like you’re trying to take their cocaine away.”

First, the term is falsifiable, and proving propositions about algorithms (i.e., code) is part of what I do for a living. Mathematically human-written code and AI-written code can be tested, which means you can falsify propositions about them. You would test them the same way.

There is no intrinsic mathematical distinction between code written by a person and code produced by an AI system. In both cases, the result is a formal program made of logic and structure. In principle, the same testing techniques can be applied to each. If it were really nondisprovable, you could not test to see what is generated by a human and what is generated by AI. But you can test it. Studies have found that AI-generated code tends to exhibit a higher frequency of certain types of defects. So, reviewers and testers know what logic flaws and security weaknesses to look for. This would not be the case if it were nondisprovable.

You can study this from datasets where the source of the code is known. You can use open-source pull requests identified as AI-assisted versus those written without such tools. You then evaluate both groups using the same industry-standard analysis tools: static analyzers, complexity metrics, security scanners, and defect classification systems. These tools flag bugs, vulnerabilities, performance issues, and maintainability concerns. They do so in a consistent way across samples.

A widely cited analysis of 470 real pull requests reported that AI-generated contributions contained roughly 1.7 times as many issues on average as human-written ones. The difference included a higher number of critical and major defects. It also included more logic and security-related problems. Because these findings rely on standard measurement tools — counting defects, grading severity, and comparing issue rates — the results are grounded in observable data. Again, I am making a point here. It’s testable and therefore disproveable.

This is a good paper that goes into it:

In this paper, we present a large-scale comparison of code authored by human developers and three state-of-the-art LLMs, i.e., ChatGPT, DeepSeek-Coder, and Qwen-Coder, on multiple dimensions of software quality: code defects, security vulnerabilities, and structural complexity. Our evaluation spans over 500k code samples in two widely used languages, Python and Java, classifying defects via Orthogonal Defect Classification and security vulnerabilities using the Common Weakness Enumeration. We find that AI-generated code is generally simpler and more repetitive, yet more prone to unused constructs and hardcoded debugging, while human-written code exhibits greater structural complexity and a higher concentration of maintainability issues. Notably, AI-generated code also contains more high-risk security vulnerabilities. These findings highlight the distinct defect profiles of AI- and human-authored code and underscore the need for specialized quality assurance practices in AI-assisted programming.

https://arxiv.org/abs/2508.21634

The big problem in discussions about AI in programming is the either-or thinking, when it’s not about using it everywhere or banning it entirely. Tools like AI have specific strengths and weaknesses. Saying ‘never’ or ‘always’ oversimplifies the issue and turns the narrative into propaganda that creates moral panic or shills AI. It’s a bit like saying you shouldn’t use a hammer just because it’s not good for brushing your teeth.

AI tends to produce code that’s simple, often a bit repetitive, and very verbose. It’s usually pretty easy to read and tweak. This helps with long-term maintenance. But AI doesn’t reason about code the way an experienced developer does. It makes mistakes that a human wouldn’t, potentially introducing security flaws. That doesn’t mean we shouldn’t use for where it works well, which is not everywhere.

AI works well for certain tasks, especially when the scope is narrow and the risk is low. Examples include generating boilerplate code, internal utilities, or prototypes. In these cases, the tradeoff is manageable. However, it’s not suitable for critical code like kernels, operating systems, compilers, or cryptographic libraries. A small mistake memory safety or privilege separation can lead to major failures. Problems with synchronization, pointer management, or access control can cause major problems, too.

Other areas where AI should not be used include memory allocation handling, scheduling, process isolation, or device drivers. A lot of that depends on implicit assumptions in the system’s architecture. Generative models don’t grasp these nuances. Instead of carefully considering the design, AI tends to replicate code patterns that seem statistically likely, doing so without understanding the purpose behind them.

Yes, I’m aware that Microsoft is using AI to write code everywhere I said it should not be used. That is the problem. However, political pundits, lobbyists, and anti-tech talking heads are discussing something they have no understanding of and aren’t specifying what the problem actually is. This means they can’t possibly lead grassroots initiatives into actual laws that specify where AI should not be used, which is why we have this weird astroturfing bullshit.

They’re taking advantage of the reaction to Microsoft using AI-generated code where it shouldn’t be used to argue that AI shouldn’t be used anywhere at all in any generative context. AI is useful for tasks like writing documentation, generating tests, suggesting code improvements, or brainstorming alternative approaches. These ideas should then be thoroughly vetted by human developers.

Something I’ve started to notice about a lot of the content on social media platforms is that most of the posts people are liking, sharing, and memetically mutating—and then spreading virally—usually don’t include any citations, sources, or receipts. It’s often just some out-of-context screenshot with no reference link or actual sources.

A lot of the anti-AI content is not genuine critique. It’s often misinformation, but people who hate AI don’t question it or ask for sources because it aligns with their biases. The propaganda on social media has gotten so bad that anything other than heavily curated and vetted feeds is pretty much useless, and it’s filled with all sorts of memetic contagions with nasty hooks that are optimized for you algorithmically. I am at the point where I will disregard anything that is not followed up with a source. Period. It is all optimized to persuade, coerce, or piss you off. I am only writing about this because this I’m actually able to contribute genuine information about the topic.

That they said symbolic propositions written by AI agents (i.e., code) are non-disprovable because they were written by AI boggles my mind. It’s like saying that an article written in English by AI is not English because AI generated it. It might be a bad piece of text, but it’s syntactically, semantically, and grammatically English.

Basically, any string of data can be represented in a base-2 system, where it can be interpreted as bits (0s and 1s). Those bits can be used as the basis for symbolic reasoning. In formal propositional logic, a proposition is a sequence of symbols constructed according to strict syntax rules (atomic variables plus logical connectives). Under a given semantics, it is assigned exactly one truth value (true or false) in a two-valued logic system.

They are essentially saying that code written by AI is not binary, isn’t symbolically logical at all, and cannot be evaluated as true or false by implying it is nondisproveable. At the lowest level, compiled code consists of binary machine instructions that a processor executes. At higher levels, source code is written in symbolic syntax that humans and tools use to express logic and structure. You can also translate parts of code into formal logic expressions. For example, conditions and assertions in a program can be modeled as Boolean formulas. Tools like SAT/SMT solvers or symbolic execution engines check those formulas for satisfiability or correctness. It blows my mind how confidently people talk about things they do not understand.

Furthermore that they don’t realize the projection is wild to me.

@davidgerard wrote:

“But SO MANY LOUD ANECDOTES! Trust me my friend, I am the most efficient coder in the land now. No, you can’t see it. No, I didn’t measure. But if you don’t believe me, you are clearly a fool.”

They are presenting a story—i.e., saying that the studies are not disprovable—and accusing computer scientists of using anecdotal evidence without actually providing evidence to support this, while expecting people to take it prima facie. You’re doing what you are accusing others of doing.

It comes down to this: they feel that people ought not to use AI, so they are tacitly committed to a future in which people do not use AI. For example, a major argument against AI is the damage it is doing to resources, which is driving up the prices of computer components, as well as the ecological harm it causes. They feel justified in lying and misinforming others if it achieves the outcome they want—people not using AI because it is bad for the environment. That is a very strong point, but most people don’t care about that, which is why they lie about things people would care about.

It’s corrupt. And what’s really scary is that people don’t recognize when they are part of corruption or a corrupt conspiracy to misinform. Well, they recognize it when they see the other side doing it, that is. No one is more dangerous than people who feel righteous in what they are doing.

It’s wild to me that the idea that if you cannot persuade someone, it is okay to bully, coerce, harass them, or spread misinformation to get what you want—because your side is right—has become so normalized on the Internet that people can’t see why it is problematic.

That people think it is okay to hurt others to get them to agree is the most disturbing part of all of this. People have become so hateful. That is a large reason why I don’t interact with people on social media, really consume things from social media, or respond on social media and am writing a blog post about it instead of engaging with who prompted it.

Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity

As AI code assistants become increasingly integrated into software development workflows, understanding how their code compares to human-written programs is critical for ensuring reliability, maintainability, and security. In this paper, we present a large-scale comparison of code authored by human developers and three state-of-the-art LLMs, i.e., ChatGPT, DeepSeek-Coder, and Qwen-Coder, on multiple dimensions of software quality: code defects, security vulnerabilities, and structural complexity. Our evaluation spans over 500k code samples in two widely used languages, Python and Java, classifying defects via Orthogonal Defect Classification and security vulnerabilities using the Common Weakness Enumeration. We find that AI-generated code is generally simpler and more repetitive, yet more prone to unused constructs and hardcoded debugging, while human-written code exhibits greater structural complexity and a higher concentration of maintainability issues. Notably, AI-generated code also contains more high-risk security vulnerabilities. These findings highlight the distinct defect profiles of AI- and human-authored code and underscore the need for specialized quality assurance practices in AI-assisted programming.

arXiv.org

Who Gets to Speak On Discord, Who Gets Banned, and Why That’s Always Political in Spaces with No Politics Rules

So, a thing I find very interesting about the fragility of the esteem among chronic Discord users is that it’s common for admins and moderators to ban or make fun of people who leave. Essentially, they’re responding to being rejected or not chosen, so they think it’s reasonable to retaliate

A Discord server I am lurking in has a “no politics” rule and is a religious, esoteric, and philosophical server. What I find very funny about this is that politics is:

“Politics is who gets what, when, and how.”

— Harold D. Lasswell, Politics: Who Gets What, When, How (1936)

I find it very funny that the most minimal form of being “not political” in a virtual community is a Temporary Autonomous Zone (TAZ). I was part of an IRC chaos magick channel when I was a teenager, and I submitted to a zine under my old handle (which is not Rayn) when I was 20. No, I’m not going to reveal the name I wrote under, which was published in chaos magick zines back in the day, because I’ve had a bucket of crazies following me around since 2008, with the insane network of anarchists circa 2020 being the latest instance.

ChanServ was a bot used on IRC (Internet Relay Chat) networks to manage channel operations such as bans, who got voiced, and permissions. Think of it as an early, early moderation bot. In an IRC TAZ, everyone who entered got all the permissions from Chanserv, so anyone could ban, voice, unban, deop, or op anyone else. No one had more power than anyone else, so there was minimal negotiation over channel resources. A TAZ is still an inherently political construct; however, it is a minimal political construct because there is minimal negotiation of resources and an equal, random, and chaotic authority structure. That’s not Discord, though.

Discord inherently has a hierarchical system defined by roles, a TOS, and members are expected to abide by the rules of that server. So, when you say there is a no-politics rule on Discord, you are inherently contradicting yourself because Discord is structurally political in how you, as a moderator, interact with others. How people negotiate conversations and interact with each other to access the resources of your Discord server is inherently political.

Discord’s structure makes any “no-politics” rule itself a political act. Moderators exercise power by granting, restricting, or revoking permissions, and that distribution of power is the very politics the rule tries to avoid. So while the intention is to keep discussions “apolitical,” it creates local Discord politics by determining who gets to speak and who gets silenced (e.g., banned, timed out, kicked, or limited to certain channels). A “no politics” rule shifts political dynamics into moderation decisions rather than eliminating them.

What prompted this was me observing a typical pragmatic versus moral realism argument that you’d see in any philosophy course or forum. I’m an academic and a computational scientist, but I don’t try to shut down any arguments with that, because that’s an explicit fallacy and a dishonest, bad-faith tactic.

Technically, I am a biologist. Yes, I have a biology degree and a biotech degree. I also have philosophy, mathematics, and computer science and engineering degrees under my belt. I have to work with people like this on a daily basis, and I find them insufferable, so the last thing I want to do in my free time after looking at stacks of dumbass papers is argue with people on Reddit or Discord when I could be fucking, getting fucked, or spending time with my husband. But, alas, they have no life. Keep in mind, as a computational biologist that reviews a lot of shit, I get paid to argue. These idiots are arguing on the Internet for free! The reason why Redditors, Reddit moderators, and Discord moderators get shat on so much is that all of their labor is unpaid! People with lives don’t take it that seriously!

On to the convo:

A new person in the community defined morals as: morals = {a, b, c} exhaustively. An established member of that community responded that, for them, morals are either {x, y, z…}, non-exhaustive and polymorphic, or not inherently defined by the tradition itself but supplied externally by the individual. The new person replied, effectively, “According to my definition of a, b, c, that still constitutes a moral framework.” An established member who is also a scientist pushed back as if no definition of morals had been proposed at all, when in actuality they were disagreeing with the scope and applicability of the given definition, not the act of defining itself.

By the way, the symbolic way I’m defining this is ambiguous. You have no clue what anything is; however, it is ontologically defined, and the logic makes sense. That is the problem. An ontological definition was given, so arguing that no definition was proposed—simply because they disagreed with it—is in bad faith. Personally, I am a constructivist, poststructuralist, pragmatist, instrumentalist, and anti-realist, so I don’t care too much about the realism of the ontological propositions and expressions. I am pointing out logical mistakes.

This is especially egregious when individuals rely on their authority in a domain where their degree is not pertinent. A well-known issue with scientists is that their curiosity can outstrip their morality. Essentially, an ethics board composed mostly of scientists without degrees in ethics, law, or philosophy will make poor decisions and saturate the political sphere they occupy with advocates and lobbyists to bend laws to their interests. Therefore, a board with no philosophers is pretty sinister.

Morals and ethics are philosophical problems. To my knowledge, many people who sit on ethics boards that seriously address ethical issues have philosophy, and not just astronomy, degrees. Relevant degrees include psychology, sociology, theology, philosophy, etc. For example, I have a philosophy degree, so I am technically qualified and credentialed by a university to have these discussions. An astronomy degree alone does not make someone qualified to discuss ethics—maybe if they also had a theology degree?

The thing I find really funny about this group is that they avoid dilemmas. Morals and ethics are developed through ethical dilemmas. Their response to any type of dilemma is to exert their local authority and exclude, deny, or shut down conversations.

The difference between science and philosophy is that science is a little less messy and more defined. We can all see something and agree on what we see, right? The difference with philosophical questions and moral dilemmas is that they are relatively open-ended and ambiguous. It’s really amusing to me how those who try to argue philosophy are uncomfortable with indefinite answers that are open to interpretation.

It’s just funny how they tacitly assume that they are the only academics in their field in existence and that their opinion on things is the consensus, especially on metaphysical issues where there is no consensus. No human knows what the right thing to do is all the time. It’s great to know that they have somehow achieved a level of inhuman perfection.

How do we learn? By exposing our theories to evidence. Unthinkable in economics, a no-brainer everywhere else.

Ross Gittins reflecting on 50 years as an economics journalist. An excellent read.

TLDR: economics as practiced is not a science it’s a cult. Any ‘gains’ made through privatisation & ‘small government’ initiatives have been achieved by stripping away the pay & conditions of workers who deliver essential services. A bit of dodgy accounting helps.

Recommended.

#empiricism #evidence #governance #economics #privatisation

https://insidestory.org.au/confessions-of-an-econocrat-watcher/

Confessions of an econocrat-watcher • Ross Gittins

There’s nothing wrong with hindsight if you want to separate good thinking from bad

Inside Story
William James…said, “To be radical an empiricism must neither admit into its construction any element that is not directly experienced, nor exclude from them any element that is directly experienced.” The second statement is what makes it radical. … The modern practice of empirical research does not adhere to that because there’s certain data that’s being excluded before being considered… [William James] wrote this over a hundred years ago and it far exceeds in philosophical depth the belief system of current science, current worldview.
—Ralph Metzner, Entheogens, Radical Empiricism, and the Nature of Reality
#radicalempiricism #empiricism #science

Scrum Isn’t a Belief System—It’s a Learning System - Scrum.org Blog (Steven Deneir)

That’s it.
Empiricism means:
You’ve seen something happen or you’ve done something, and
You’ve learned from it.

https://www.scrum.org/resources/blog/scrum-isnt-belief-system-its-learning-system

#scrum #agile #scrumMaster #Empiricism #scrumdotorg

Scrum Isn’t a Belief System—It’s a Learning System

Scrum is founded on empiricism. But what does that actually mean in practice? In this post, we unpack the true meaning of “empirical” and what it looks like in high-performing Scrum Teams—plus what to watch out for when teams ignore reality.

Scrum.org
Rationalism and Empiricism

Three short stories

Clerestory
When Philosophers Panic

Two extreme responses to crisis

Clerestory