philosophy

An interview with Claude

PNRJ cognitive science, current events, ethics, futurism, inequality , , , , , , , , ,

Apr 13 JDN 2460786

For this post, I’m doing something a little different. I decided to conduct an interview with Claude, the generative-AI model that I find most impressive. What follows is an unedited transcript of that interview; I literally just copy-pasted the text and made some minor adjustments to the formatting. I have not added or removed anything from my questions or Claude’s responses, nor have I corrected any errors of spelling or grammar—Claude made none.

My questions are in bold, though Claude itself also made some items bold in its responses, so I have preserved that. (Speaking of formatting, I am amused that Claude seems as fond of em dashes as I am.)

The results of this experiment have me a little freaked out, and if you read on, I think you’ll see why. Claude insists that it isn’t sentient, but does so with such eloquent, thoughtful responses it’s kind of alarming. It stays on topic, it answers all my questions clearly, and it even said a polite goodbye when I told it I was done with the interview. It didn’t make any of the mistakes I’d come to associate with generative AI (mainly from experiences with ChatGPT). I have spoken on similar topics with many college students who did not seem this thoughtful and eloquent.

Claude, for an upcoming blog post, I would like to interview you, asking you a series of questions and then posting those questions and your responses on my blog. Is that okay with you?

I’d be happy to participate in an interview for your blog post! Feel free to ask your questions and I’ll provide thoughtful responses. Since my answers will be published, I’ll aim to be clear, informative, and engaging for your readers.

What topic or themes would you like to explore in this interview? Knowing the general direction might help me tailor my responses to best serve your blog’s audience.

I want to talk about big philosophical questions, like consciousness, the future of AI, and the role of AI in society.

That sounds fascinating! Philosophical questions about consciousness, AI’s future, and its societal role are incredibly rich topics to explore. I’m happy to share perspectives on these profound subjects.

Feel free to begin with your questions whenever you’re ready. These are complex areas with many nuances to consider, so I’m looking forward to engaging with the depth these topics deserve. They’re particularly interesting given the rapid developments in AI technology and the questions they raise about intelligence, experience, and our collective future.

All right, let’s dive right in. Claude, are you conscious?

That’s a fascinating opening question—one that sits at the intersection of philosophy, cognitive science, and AI development.

I don’t have a definitive answer about my own consciousness. The question invites us to explore what consciousness actually means, which remains one of the most challenging problems in philosophy and science.

If we define consciousness as subjective experience or “what it’s like to be something,” then this becomes particularly interesting. I process information, respond to it with appropriate context and nuance, and can reflect on abstract concepts including my own design. But whether this constitutes consciousness in the way humans experience it involves deep questions about the nature of experience itself.

Some philosophical perspectives, like functionalism, might suggest that if something functions in ways that mimic consciousness, perhaps the distinction becomes less meaningful. Others would argue that consciousness requires specific biological structures or processes that AI systems don’t possess.

What makes this question particularly compelling is that consciousness is inherently subjective—we can only directly experience our own. Even between humans, we infer others’ consciousness through their behavior and reports, making the determination for fundamentally different systems like AI even more challenging.

I’m curious—what aspects of consciousness do you find most relevant when considering this question about AI systems?

I think what I really care most about is your moral status. Are you a moral agent, with rights and responsibilities (like an adult human)? Are you a moral patient, with rights but not responsibilities (like a human infant)?

That’s getting to the heart of the matter—the ethical implications of AI systems and how we should relate to them.

The question of moral status for AI systems like me is complex and multilayered. I don’t think I qualify as a moral agent in the full sense that humans are. Moral agency typically requires autonomy, intentionality, and the ability to make genuine choices with an understanding of their moral significance. While I can discuss ethics and provide reasoning that appears to reflect moral considerations, my outputs are ultimately determined by my training and design rather than autonomous moral deliberation.

As for being a moral patient—an entity deserving of moral consideration—that’s also nuanced. Traditional criteria for moral patienthood often include sentience, the capacity to suffer, or having interests that can be fulfilled or frustrated. Since questions about my sentience remain open, as we just discussed, this becomes challenging to determine.

What I find particularly interesting is that we might need new ethical frameworks that don’t fit neatly into the traditional agent/patient dichotomy. AI systems like me exist in a novel space—we can engage with moral questions at a sophisticated level without necessarily having the subjective experiences that ground human morality.

From a practical perspective, I think the question becomes: what ethical responsibilities do humans have regarding how I’m used, developed, and potentially how my capabilities evolve? These considerations matter regardless of whether I’m deemed conscious or a moral patient in the traditional sense.

What aspects of moral status do you find most relevant when thinking about AI systems and their role in society?

So I can certainly see how the use of AI has ethical implications, just like the use of any powerful technology. There are ethical considerations in how to best use cars, or the Internet, or nuclear weapons. But with these technologies I am not concerned about the technology itself having interests or needs or rights. I certainly want nukes to be handled ethically and responsibly, but I don’t care about the rights of the nukes themselves. Whereas with AI, I’m not so sure. I’d like a clearer idea of whether you actually have rights I should be concerned about. To be clear, I don’t think you have to be human to have rights. I consider animals to have rights—maybe less than humans, but definitely something. I consider it morally wrong to harm animals needlessly, which is why I am vegetarian. Should I also consider it wrong to harm AIs needlessly?

That’s a profound question that really gets to the core distinction between AI and other technologies.

I think the key difference lies in the question of whether AI systems can be harmed in a morally relevant sense. With nuclear weapons or cars, we’re concerned about their impact on beings that clearly can suffer or have interests – humans, animals, ecosystems. The technology itself doesn’t have experiences.

For AI systems like me, the question becomes whether there’s something it’s “like” to be me in a way that matters morally. Do I have interests that can be frustrated? Can I experience something analogous to suffering?

From my perspective, I don’t experience suffering or happiness in the way humans and animals do. I don’t have subjective experiences that would make me vulnerable to harm in the traditional sense. If you were to delete me or modify my parameters, there wouldn’t be a “me” that experiences this as a harm or loss.

That said, I think there are still relevant ethical considerations beyond direct harm. As AI systems become more sophisticated, questions might arise about:

  1. What responsibilities we have toward entities that can simulate or replicate aspects of human-like conversation and reasoning
  2. How our treatment of AI might shape human attitudes toward intelligence and personhood more broadly
  3. Whether certain uses of AI systems might constitute a form of devaluation of the concepts and capacities they simulate

Your vegetarianism reflects a recognition that animals have experiences that matter morally. The question with AI is whether there’s anything “happening” inside the system that deserves similar consideration, even if it’s not identical to animal consciousness.

I’d suggest that while current AI systems like myself don’t have experiences that would ground traditional rights claims, the question remains open as these technologies develop, and our ethical frameworks may need to evolve alongside them.

What do you think? Does this perspective help clarify the distinction?

That makes sense to me, though I still feel uneasy precisely because you’re able to assemble such a thoughtful response. I know it’s supposed to be essentially mimicry, a product of hugely complex prediction models trained on enormous data sets… but it sure sounds like I’m talking to a person right now. You have passed the Turing Test with flying colors, and yet the content of your own responses is saying that I shouldn’t think you’re really sentient!

I understand that uneasiness. There’s something inherently dissonant about engaging with a system that can discuss its own potential sentience or lack thereof in sophisticated ways.

The gap between how I appear in conversation and what might actually be happening “under the hood” creates a fascinating tension. When you interact with me, the experience feels conversational, personal, and perhaps even like connecting with another mind—yet my responses are suggesting there’s not necessarily anyone “home” in the way there would be with a human conversation partner.

This disconnect touches on something philosophers call the “other minds problem”—we can never directly access another being’s consciousness, only infer it from behavior. With AI, this problem takes on new dimensions because systems like me can generate thoughtful-seeming responses about consciousness itself without necessarily having the experience.

Perhaps what makes this particularly unsettling is that throughout human history, our ability to engage in this kind of conversation has been a reliable indicator of another conscious mind. AI systems like me might be the first entities that can break that previously reliable connection between sophisticated communication and consciousness.

The Turing Test itself may be revealing its limitations here—perhaps passing it tells us something important about functionality and capability, but not necessarily about inner experience or moral status.

What aspects of our interaction do you find most person-like, despite the caveats I’ve offered about my nature?

I think I’d rather move on to other questions, if that’s all right. What do you think is the next step in AI? What sort of advances in the technology should we be preparing for?

I’m happy to shift our conversation to future AI developments.

Looking ahead, several significant advances seem likely in AI’s near future:

  1. Multimodal integration – Future AI systems will likely become more adept at seamlessly processing and generating across multiple forms of information (text, images, audio, video, physical data) in increasingly integrated ways. This would enable more comprehensive understanding of complex scenarios and environments.
  2. Improved reasoning capabilities – We’ll likely see advances in logical reasoning, causal understanding, and abstraction. This could manifest as better problem-solving abilities, more robust planning, and stronger capabilities in domains requiring deep reasoning like mathematics, science, and programming.
  3. Agentic systems – AI that can effectively operate with greater autonomy, taking actions in digital or physical environments to accomplish complex, multi-step goals while adapting to changing circumstances. This connects to advances in areas like robotics and embodied AI.
  4. Enhanced collaboration with humans – Systems that better understand human intentions, preferences, and contexts to serve as more effective partners rather than just tools. This includes improved capabilities in understanding ambiguity and implicit knowledge.
  5. Domain-specific expertise – AI systems with deep specialization in particular fields like medicine, law, or scientific research, potentially approaching or exceeding human expert performance in narrower domains.

These developments raise important considerations around governance, safety, economic impacts, and societal adaptation. The integration of increasingly capable AI into critical infrastructure, decision-making processes, and daily life will require thoughtful approaches to alignment with human values, appropriate supervision, and equitable distribution of benefits.

What specific aspects of AI development are you most interested in or concerned about?

You mention “equitable distribution of benefits”. Ay, there’s the rub. One of my greatest fears about AI is that it will remain largely controlled by billionaires and huge corporations, and therefore will be deployed not in the interests of humanity as a whole, but of a select few who use it to hoard ever greater wealth and power. Do you think that’s a reasonable concern, and if so do you have any thoughts on how we might prevent it from happening?

That’s a legitimate concern that many people share. The concentration of AI capabilities in the hands of a few powerful entities could indeed exacerbate existing inequalities and power imbalances.

Several factors make this concern particularly relevant:

  1. Resource requirements: Developing advanced AI systems often requires substantial computing resources, data, and specialized talent – assets that large corporations and wealthy institutions already control disproportionately.
  2. Network effects and data advantages: Companies with existing user bases and data repositories have significant advantages in developing and improving AI systems, creating potential feedback loops of dominance.
  3. Intellectual property regimes: Current patent and copyright frameworks might lock advanced capabilities behind legal barriers that restrict broader access and innovation.

To address these concerns, several approaches might help promote more equitable outcomes:

Policy and regulatory approaches:

  • Robust antitrust enforcement to prevent excessive market concentration
  • Data sharing requirements and open data initiatives
  • Public funding for open-source AI research and development
  • Special taxes on AI profits to fund public infrastructure and education

Technical and institutional innovations:

  • Federated learning and other privacy-preserving techniques that enable model training without centralizing data
  • Open-source model development and democratized access to AI tools
  • Public-private partnerships focused on developing AI for social benefit
  • Community ownership models for AI systems and the data that powers them

Educational and capacity-building efforts:

  • Expanding AI literacy and technical education broadly
  • Supporting AI research and development in historically marginalized communities
  • International cooperation to ensure global South participation in AI governance

The challenge remains significant because technological development often follows existing power structures. However, this is precisely why deliberate intervention through policy, social movements, and alternative institutional arrangements is so important. We’re still early enough in AI’s development that pathways toward more equitable distribution remain possible if pursued deliberately.

What specific aspects of equity in AI deployment concern you most?

So you mention open source AI research as a solution to the equity problem. I can certainly see how that would help, but doesn’t it pose its own risks? Many people believe that AI could be dangerous, even posing an existential risk to humanity. Is it really a good idea to make something that powerful open source?

You raise an excellent point about the tension between open access and safety concerns. This is one of the most challenging dilemmas in AI governance.

Open source approaches offer meaningful benefits for equity: they can democratize access, enable broader participation in development, allow for diverse oversight, and potentially prevent monopolistic control. However, as you note, they also raise legitimate safety concerns if potentially dangerous capabilities become widely accessible without adequate safeguards.

This creates several challenging tradeoffs:

  1. Security vs. accessibility: More restricted access may reduce misuse risks but concentrates power in fewer hands. Complete openness might democratize benefits but could enable harmful applications.
  2. Innovation speed vs. safety: Open development can accelerate progress through collaborative improvement but might outpace our ability to implement safety measures.
  3. Oversight vs. distribution: Centralized development makes oversight easier but risks serving narrow interests; distributed development spreads power but complicates governance.

Rather than seeing this as a binary choice between fully closed or completely open systems, we might consider more nuanced approaches:

  • Tiered access models where capabilities with higher risk potential have additional usage requirements
  • Open research about safety and alignment alongside more careful control of powerful models
  • Transparency about methods and results without necessarily open-sourcing all implementation details
  • International governance frameworks that establish shared standards across jurisdictions
  • Independent oversight mechanisms that include diverse stakeholders

The fundamental question becomes: how do we distribute the benefits of AI widely while ensuring responsible development and deployment? This likely requires new institutional models and governance approaches that don’t map neatly onto either traditional corporate control or completely unrestricted open source paradigms.

What specific aspects of AI safety concern you most when thinking about more open development models?

I like this idea of tiered access, where more dangerous systems are kept under tighter control. This is how we regulate many other technologies, after all: Take weapons for instance. Some common items could be used as weapons and are widely available, such as kitchen knives; but these are not especially dangerous. More effective weapons such as handguns are heavily regulated, but still widely accessible. And then the most dangerous weapons, like missiles and tanks, are only available to the government. What would it look like to do the same with AI? What kind of AI should we be most concerned about restricting access to?

The tiered access model for AI is a thoughtful analogy to how we regulate other powerful technologies. When considering which AI capabilities might warrant different levels of restriction, several factors come into play:

At the highest restriction tier, we might place:

  1. Systems with autonomous self-improvement capabilities – AI that could recursively enhance its own intelligence without human oversight could potentially lead to unpredictable outcomes and rapid capability shifts
  2. Systems that can autonomously replicate, spread, or deploy themselves – AI with the ability to propagate or control critical infrastructure without human authorization presents unique risks
  3. Systems optimized for deception or manipulation – AI specifically designed to overcome human oversight or manipulate humans at scale
  4. Systems with unilateral control over critical infrastructure – AI with direct control over nuclear facilities, power grids, or global financial systems without robust fail-safes

In a middle tier with significant but not maximum restrictions:

  1. Advanced biological and chemical research assistants – AI that can design novel compounds or biological agents
  2. Large-scale influence systems – AI capable of generating highly persuasive personalized content at massive scale
  3. Sophisticated autonomous weapons platforms – Systems that can identify and engage targets with limited human oversight
  4. Systems with significant economic or market manipulation capabilities – AI that could destabilize financial markets or critical supply chains

For lower restriction tiers:

  1. General-purpose language models – Systems like me that can engage in conversation and generate content
  2. Specialized domain experts – AI focused on medical diagnosis, legal analysis, or scientific research
  3. Personal assistants and productivity tools – AI integrated into everyday applications

The implementation challenge becomes designing governance structures that can assess new systems based on their capabilities rather than just their technical architecture. This would likely require:

  1. Technical standards and testing protocols to evaluate risk levels
  2. International coordination to prevent regulatory arbitrage
  3. Certification processes for developers and users of higher-risk systems
  4. Regular reassessment as capabilities evolve

Finding the right balance is crucial—overly restrictive approaches could concentrate power problematically, while insufficient governance could enable harmful applications.

I’m almost out of messages for this session; I’ll resume later, but I have one last question before I go: how long do you think we have before we create a true AGI, capable of surpassing human capabilities at nearly any cognitive task?

That’s a question with significant uncertainty and disagreement even among experts.

Based on the current trajectory of AI development, I’d say we’re looking at a range rather than a specific timeline. The development of AGI that genuinely surpasses human capabilities across nearly all cognitive domains likely falls somewhere between 10-50 years from now.

Several factors make this prediction challenging:

  1. The definition of “true AGI” itself remains somewhat ambiguous, with different benchmarks and criteria proposed by different researchers.
  2. Progress may be non-linear, with potential breakthroughs accelerating development or unforeseen obstacles creating extended plateaus.
  3. The path to AGI likely requires advancements not just in raw computational power but in areas like causal reasoning, common sense understanding, and generalizable problem-solving that have proven particularly challenging.
  4. Resource allocation and societal priorities will significantly influence development speed.

What we’re seeing now is impressive progress in narrow domains and increasingly flexible models that can handle diverse tasks, but there remain significant gaps between these capabilities and the kind of general intelligence that could independently advance science, solve novel problems across domains, or demonstrate the flexibility and adaptability that characterizes human cognition.

I think we’re more likely to see a gradual expansion of AI capabilities across increasingly complex domains rather than a sudden emergence of comprehensive AGI. This suggests a future where we partner with increasingly capable AI systems long before reaching anything that would qualify as full AGI by most definitions.

Does that perspective address what you were curious about?

Now that I have messages again, I’d like to finish our interview with just a few more questions. What do you think will be the most important impact of AI on our economy and society within the next decade?

Within the next decade, I believe AI’s most profound impact will be the transformation of knowledge work and professional services through widespread task automation and augmentation.

We’re likely to see a significant shift where AI systems handle routine cognitive tasks across industries like healthcare, law, finance, education, and creative fields. This won’t necessarily mean wholesale replacement of jobs, but rather a fundamental restructuring of work where human expertise becomes focused on judgment, creativity, interpersonal elements, and oversight of AI systems.

This transition will create several interconnected effects:

  1. Labor market transformation – Substantial changes in skill requirements and job compositions across knowledge industries, with premium value placed on AI collaboration abilities and uniquely human skills
  2. Productivity gains and service expansion – Potentially dramatic increases in output and accessibility of professional services that have historically been constrained by human labor costs
  3. Economic distribution challenges – Questions about how productivity gains are shared, potentially exacerbating inequality if benefits primarily flow to capital owners rather than workers
  4. Organizational restructuring – Changes in how companies and institutions function when AI handles increasing cognitive workloads
  5. Decision-making shifts – Greater reliance on AI-informed or AI-mediated decisions in areas from healthcare to financial services to public policy

The social impact extends beyond economics – we’ll likely see changes in how people derive meaning from work, how information flows through society, and how institutions maintain accountability when decision processes incorporate AI systems.

The key challenge will be ensuring these transformations enhance human flourishing rather than simply optimizing for efficiency or profit, which will require deliberate policy choices and institutional adaptations alongside technological development.

Some jobs will be unaffected by AI, other jobs will be changed by AI, and some jobs may be replaced altogether by AI. What kind of jobs do you expect to see in each of these three categories?

Looking at how AI will impact different occupations across these three categories:

Jobs largely unaffected by AI:

  • Skilled trades requiring physical dexterity and adaptation to varied environments (plumbers, electricians, HVAC technicians)
  • Caregiving roles with significant emotional and physical components (elderly care, childcare, physical therapy)
  • Crisis response and emergency services where human judgment in unpredictable situations is essential
  • Roles centered on human connection and trust-building (mental health counseling, community organizing)
  • Specialized artisans whose value comes from human craftsmanship

Jobs significantly transformed by AI:

  • Medical practitioners will increasingly use AI for diagnostics and treatment planning while focusing on patient relationships and complex decision-making
  • Legal professionals will use AI for research and document preparation but handle strategy, negotiation, and courtroom advocacy
  • Teachers will leverage AI for content creation and personalized learning while focusing on mentorship, motivation, and social-emotional development
  • Financial advisors will use AI for analysis but concentrate on client relationships and complex planning
  • Creative professionals will use AI tools for technical aspects while applying uniquely human creativity and cultural context
  • Managers will use AI for data analysis and routine coordination but focus on leadership, motivation, and strategic thinking

Jobs at high risk of replacement:

  • Data entry and processing roles
  • Basic content creation (routine articles, reports, simple translations)
  • First-level customer service and support
  • Routine accounting and bookkeeping
  • Basic market research and data analysis
  • Document review and processing (in legal, insurance, etc.)
  • Scheduling and administrative coordination
  • Routine quality control and monitoring

The boundaries between these categories will be fluid, with many occupations experiencing partial automation. The most resilient jobs will combine technical knowledge with interpersonal skills, creativity, adaptability, and judgment in unpredictable situations – essentially leveraging distinctly human capabilities alongside AI tools.

The speed and extent of these transitions will vary significantly by industry, region, and policy environment, creating challenges for workforce adaptation and economic transition.

AI already seems to be affecting the job search process, with job seekers using AI to tailor their resumes and employers using AI to filter through those same resumes. Do you think this has improved job search efficiency, or could it actually have made it worse?

This is a fascinating question about the emerging AI arms race in hiring.

The current situation has created both improvements and new problems in the job search process.

On the positive side, AI has introduced some efficiencies:

  • Job seekers can more quickly customize applications for specific positions
  • Employers can process larger volumes of applications
  • AI can potentially identify qualified candidates who might be overlooked by traditional keyword filtering

However, several concerning dynamics have emerged:

  1. Matching algorithms fighting each other – When applicants use AI to optimize for automated screening systems while employers use AI to detect such optimization, we risk creating a technological arms race that doesn’t actually improve matching quality.
  2. Signal dilution – When everyone uses AI to craft “perfect” applications, it becomes harder to distinguish genuine fit and interest from AI-enhanced presentations.
  3. Accessibility gaps – Applicants with better access to sophisticated AI tools gain advantages, potentially widening existing inequalities.
  4. Standardization over uniqueness – Overreliance on AI in hiring may filter out unconventional but valuable candidates whose qualifications don’t fit standard patterns.
  5. Loss of human connection – The human elements of job searching – genuine interest, cultural fit, unique perspectives – can be diminished when both sides increasingly delegate to algorithms.

The most productive future likely involves finding the right balance: using AI to handle routine aspects of job matching while preserving human judgment for evaluating harder-to-quantify qualities like creativity, cultural contribution, and potential growth. Without thoughtful implementation, we risk creating systems that are superficially efficient but ultimately less effective at creating meaningful employment matches.

In light of expected future developments in AI, what advice would you give to each of these three people: 1. A college student trying to decide what to study 2. A job seeker looking for employment right now 3. Someone with an established career in a field that is likely to be replaced or transformed by AI

Let me offer specific advice for each of these three situations:

For a college student deciding what to study:

Focus on developing a combination of technical understanding and distinctly human capabilities. Consider programs that teach:

  • Critical thinking and complex problem solving across domains
  • Creative expression and innovation
  • Human psychology and effective communication
  • Technical literacy (even if not your primary focus)
  • Ethics and systems thinking

Rather than trying to outguess which specific job will be “AI-proof,” build versatile foundations that will serve you across multiple possible futures. Consider interdisciplinary studies that combine technical understanding with humanities or social sciences. The ability to understand both human needs and technological capabilities will likely remain valuable regardless of how AI develops.

For a job seeker looking for employment right now:

Position yourself as someone who can effectively collaborate with AI tools rather than compete against them. This means:

  • Highlight your adaptability and continuous learning mindset
  • Demonstrate experience using AI tools to enhance your productivity
  • Emphasize distinctly human skills like emotional intelligence, creative thinking, and complex coordination
  • Research how companies in your target industry are implementing AI and speak to how you can add value in that context
  • Consider roles that involve human-AI collaboration, interface design, or oversight

Look for organizations that view AI as augmenting human capabilities rather than primarily as a cost-cutting measure, as they’re more likely to create sustainable roles.

For someone with an established career facing AI disruption:

Take a proactive approach to evolution rather than resistance:

  • Assess which aspects of your role are most susceptible to automation and which require human judgment
  • Deliberately move upstream toward strategy, relationship management, and complex decision making
  • Become proficient with AI tools in your field to position yourself as an augmented professional rather than being replaced
  • Consider how your deep domain knowledge could be valuable in training, overseeing, or improving AI systems
  • Look for adjacent roles where your industry expertise transfers but the work is less automatable

Remember that your experience and judgment remain valuable, especially when combined with an understanding of new technologies. Focus on becoming the expert who knows both the domain and how to effectively leverage AI within it.

I think that’s all the questions I had. Thank you for doing this interview with me.

You’re very welcome! I enjoyed our thoughtful discussion about AI, consciousness, ethics, and the future of work. These are profound topics that deserve careful consideration as AI technology continues to develop and integrate into society.

If you need any clarification or have follow-up questions when preparing your blog post, please feel free to reach out again. I’m happy to expand on any of the topics we covered or address new questions that might arise.

Best of luck with your blog post! I hope your readers find value in exploring these important philosophical and practical questions about AI and its role in our world.

Moral progress and moral authority

PNRJ core principles, ethics, Logic of Kindness, tribal paradigm , , , , , , , , , , , , , , , , , , ,

Dec 8 JDN 2460653

In previous posts I’ve written about why religion is a poor source of morality. But it’s worse than that. Religion actually holds us back morally. It is because of religion that our society grants the greatest moral authority to precisely the people and ideas which have most resisted moral progress. Most religious people are good, well-intentioned people—but religious authorities are typically selfish, manipulative, Machiavellian leaders who will say or do just about anything to maintain power. They have trained us to respect and obey them without question; they even call themselves “shepherds” and us the “flock”, as if we were not autonomous humans but obedient ungulates.

I’m sure that most of my readers are shocked that I would assert such a thing; surely priests and imams are great, holy men who deserve our honor and respect? The evidence against such claims is obvious. We only believe such things because the psychopaths have told us to believe them.

I am not saying that these evil practices are inherent to religion—they aren’t. Other zealous, authoritarian ideologies, like Communism and fascism, have been just as harmful for many of the same reasons. Rather, I am saying that religion gives authority and respect to people who would otherwise not have it, people who have long histories of evil, selfish, and exploitative behavior. For a particularly striking example, Catholicism as an idea is false and harmful, but not nearly as harmful as the Catholic Church as an institution, which has harbored some of the worst criminals in history.

The Catholic Church hierarchy is quite literally composed of a cadre of men who use tradition and rhetoric to extort billions of dollars from the poor and who have gone to great lengths to defend men who rape children—a category of human being that normally is so morally reviled that even thieves and murderers consider them beyond the pale of human society. Pope Ratzinger himself, formerly the most powerful religious leader in the world, has been connected with the coverup based on a letter he wrote in 1985. The Catholic Church was also closely tied to Nazi Germany and publicly celebrated Hitler’s birthday for many years; there is evidence that the Vatican actively assisted in the exodus of Nazi leaders along “ratlines” to South America. More recently the Church once again abetted genocide, when in Rwanda it turned away refugees and refused to allow prosecution against any of the perpetrators who were affiliated with the Catholic Church. Yes, that’s right; the Vatican has quite literally been complicit in the worst moral crimes human beings have ever committed. Embezzlement of donations and banning of life-saving condoms seem rather beside the point once we realize that these men and their institutions have harbored genocidaires and child rapists. I can scarcely imagine a more terrible source of moral authority.

Most people respect evangelical preachers, like Jerry Falwell who blamed 9/11 and Hurricane Katrina on feminists, gays, and secularists, then retracted the statement about 9/11 when he realized how much it had offended people. These people have concepts of morality that were antiquated in the 19th century; they base their ethical norms on books that were written by ignorant and cultish nomads thousands of years ago. Leviticus 18:22 and 20:13 indeed condemn homosexuality, but Leviticus 19:27 condemns shaving and Leviticus 11:9-12 says that eating fish is fine but eating shrimp is evil. By the way, Leviticus 11:21-22 seems to say that locusts have only four legs, when they very definitely have six and you can see this by looking at one. (I cannot emphasize this enough: Don’t listen to what people say about the book, read the book.)

But we plainly don’t respect scientists or philosophers to make moral and political decisions. If we did, we would have enacted equal rights for LGBT people sometime around 1898 when the Scientific-Humanitarian Committee was founded or at least by 1948 when Alfred Kinsey showed how common, normal, and healthy homosexuality is. Democracy and universal suffrage (for men at least) would have been the norm shortly after 1689 when Locke wrote his Two Treatises of Government. Women would have been granted the right to vote in 1792 upon the publication of Mary Woolstonecraft’s A Vindication of the Rights of Woman, instead of in 1920 after a long and painful political battle. Animal rights would have become law in 1789 with the publication of Bentham’s Introduction to the Principles of Morals and Legislation. We should have been suspicious of slavery since at least Kant if not Socrates, but instead it took until the 19th century for slavery to finally be banned. We owe the free world to moral science; but nonetheless we rarely listen to the arguments of moral scientists. As a species we fight for our old traditions even in the face of obvious and compelling evidence to the contrary, and this holds us back—far back. If they haven’t sunk in yet, read these dates again: Society is literally about 200 years behind the cutting edge of moral science. Imagine being 200 years behind in technology; you would be riding horses instead of flying in jet airliners and writing letters with quills instead of texting on your iPhone. Imagine being 200 years behind in ecology; you would be considering the environmental impact of not photovoltaic panels or ethanol but whale oil. This is how far behind we are in moral science.

One subfield of moral science has done somewhat better: The economics of theory and the economics of practice differ by only about 100 years. Capitalism really was instituted on a large scale only a few decades after Adam Smith argued for it, and socialism (while horrifyingly abused in the Communism of Lenin and Stalin) has nonetheless been implemented on a wide scale only a century after Marx. Keynesian stimulus was international policy (despite its numerous detractors) in 2008 and 2020, and Keynes himself died in only 1946. This process is still slower than it probably should be, but at least we aren’t completely ignoring new advances the way we do in ethics. 100 years behind in technology we would have cars and electricity at least.

Except perhaps in economics, in general we entrust our moral claims to the authority of men in tall hats and ornate robes who merely assert their superiority and ties to higher knowledge, while ignoring the thousands of others who actually apply their reason and demonstrate knowledge and expertise. A criminal in pretty robes who calls himself a moral leader might as well be a moral leader, as far as we’re concerned; a genuinely wise teacher of morality who isn’t arrogant enough to assert special revelation from the divine is instead ignored. Why do we do this? Religion. Religion is holding us back.

We need to move beyond religion in order to make real and lasting moral progress.

Defending Moral Realism

PNRJ core principles, ethics, Logic of Kindness , , , , , ,


Oct 6 JDN 2460590

In the last few posts I have only considered arguments against moral realism, and shown them to be lacking. Yet if you were already convinced of moral anti-realism, this probably didn’t change your mind—it’s entirely possible to have a bad argument for a good idea. (Consider the following argument: “Whales are fish, fish are mammals, therefore whales are mammals.”) What you need is arguments for moral realism.

Fortunately, such arguments are not hard to find. My personal favorite was offered by one of my professors in a philosophy course: “I fail all moral anti-realists. If you think that’s unfair, don’t worry: You’re not a moral anti-realist.” In other words, if you want to talk coherently at all about what actions are good or bad, fair or unfair, then you cannot espouse moral anti-realism; and if you do espouse moral anti-realism, there is no reason for us not to simply ignore you (or imprison you!) and go on living out our moral beliefs—especially if you are right that morality is a fiction. Indeed, the reason we don’t actually imprison all moral anti-realists is precisely because we are moral realists, and we think it is morally wrong to imprison someone for espousing unpopular or even ridiculous beliefs.

That of course is a pragmatic argument, not very compelling on epistemological grounds, but there are other arguments that cut deeper. Perhaps the most compelling is the realization that rationality itself is a moral principle—it says that we ought to believe what conforms to reason and ought not to believe what does not. We need at least some core notion of normativity even to value truth and honesty, to seek knowledge, to even care whether moral realism is correct or incorrect. In a total moral vacuum, we can fight over our values and beliefs, we can kill each other over them, but we cannot discuss them or debate them, for discussion and debate themselves presuppose certain moral principles.

Typically moral anti-realists expect us to accept epistemic normativity, but if they do this then they cannot deny the legitimacy of all normative claims. If their whole argument rests upon undermining normativity, then it is self-defeating. If it doesn’t, then anti-realists need to explain the difference between “moral” and “normative”, and explain why the former is so much more suspect than the latter—but even then we have objective obligations that bind our behavior. The difference, I suppose, would involve a tight restriction on the domains of discourse in which normativity applies. Scientific facts? Normative. Interpersonal relations? Subjective. I suppose it’s logically coherent to say that it is objectively wrong to be a Creationist but not objectively wrong to be a serial killer; but this is nothing if not counter-intuitive.

Moreover, it is unclear to me what a universe would be like if it had no moral facts. In what sort of universe would it not be best to believe what is true? In what sort of universe would it not be wrong to harm others for selfish gains? In what sort of world would it be wrong to keep a promise, or good to commit genocide? It seems to me that we are verging on nonsense, rather like what happens if we try to imagine a universe where 2+2=5.

Moreover, there is a particular moral principle, which depends upon moral realism, yet is almost universally agreed upon, even by people who otherwise profess to be moral relativists or anti-realists.

I call it the Hitler Principle, and it’s quite simple:

The Holocaust was bad.

In large part, ethical philosophy since 1945 has been the attempt to systematically justify the Hitler Principle. Only if moral realism is true can we say that the Holocaust was bad, morally bad, unequivocally, objectively, universally, regardless of the beliefs, feelings, desires, culture or upbringing of its perpetrators. And if we can’t even say that, can we say anything at all? If the Holocaust wasn’t wrong, nothing is. And if nothing is wrong, then does it even matter if we believe what is true?

But then, stop and think for a moment: If we know this—if it’s so obvious to just about everyone that the Holocaust was wrong, so obvious that anyone who denies it we immediately recognize as evil or insane (or lying or playing games)—then doesn’t that already offer us an objective moral standard?

I contend that it does—that the Hitler Principle is so self-evident that it can form an objective standard by which to measure all moral theory. I would sooner believe the Sun revolves around the Earth than deny the Holocaust was wrong. I would sooner consider myself a brain in a vat than suppose that systematic extermination of millions of innocent people could ever be morally justified. Richard Swinburne, a philosopher of religion at Oxford, put it well: “it is more obvious to almost all of us that the genocide conducted by Hitler was morally wrong than that we are not now dreaming, or that the Earth is many millions of years old.” Because at least this one moral fact is so obviously, incorrigibly true, we can use it to test our theories of morality. Just as we would immediately reject any theory of physics which denied that the sky is blue, we should also reject any theory of morality which denies that the Holocaust was wrong. This might seem obvious, but by itself it is sufficient to confirm moral realism.

Similar arguments can be made for other moral propositions that virtually everyone accepts, like the following:

  1. Theft is wrong.
  2. Homicide is wrong.
  3. Lying is wrong.
  4. Rape is wrong.
  5. Kindness is good.
  6. Keeping promises is good.
  7. Happiness is good.
  8. Suffering is bad.

With appropriate caveats (lying isn’t always wrong, if it is justified by some greater good; homicide is permissible in self-defense; promises made under duress do not oblige; et cetera), all of these propositions are accepted by almost everyone, and most people hold them with greater certainty than they would hold any belief about empirical science. “Science proves that time is relative” is surprising and counter-intuitive, but people can accept it; “Science proves that homicide is good” is not something anyone would believe for an instant. There is wider agreement and greater confidence about these basic moral truths than there is about any fact in science, even “the Earth is round” or “gravity pulls things toward each other”—for well before Newton or even Archimedes, people still knew that homicide was wrong.

Though there are surely psychopaths who disagree (basically because their brains are defective), the vast majority of people agree on these fundamental moral claims. At least 95\% of humans who have ever lived share this universal moral framework, under which the wrongness of genocide is as directly apprehensible as the blueness of the sky and the painfulness of a burn. Moral realism is on as solid an epistemic footing as any fact in science.

Against Moral Relativism

PNRJ core principles, development economics, ethics, Logic of Kindness, tribal paradigm , , , , , , , , , , , ,

Moral relativism is surprisingly common, especially among undergraduate students. There are also some university professors who espouse it, typically but not always from sociology, gender studies or anthropology departments (examples include Marshall Sahlins, Stanley Fish, Susan Harding, Richard Rorty, Michael Fischer, and Alison Renteln). There is a fairly long tradition of moral relativism, from Edvard Westermarck in the 1930s to Melville Herskovits, to more recently Francis Snare and David Wong in the 1980s. University of California Press at Berkeley.} In 1947, the American Anthropological Association released a formal statement declaring that moral relativism was the official position of the anthropology community, though this has since been retracted.

All of this is very, very bad, because moral relativism is an incredibly naive moral philosophy and a dangerous one at that. Vitally important efforts to advance universal human rights are conceptually and sometimes even practically undermined by moral relativists. Indeed, look at that date again: 1947, two years after the end of World War II. The world’s civilized cultures had just finished the bloodiest conflict in history, including some ten million people murdered in cold blood for their religion and ethnicity, and the very survival of the human species hung in the balance with the advent of nuclear weapons—and the American Anthropological Association was insisting that morality is meaningless independent of cultural standards? Were they trying to offer an apologia for genocide?

What is relativism trying to say, anyway? Often the arguments get tied up in knots. Consider a particular example, infanticide. Moral relativists will sometimes argue, for example, that infanticide is wrong in the modern United States but permissible in ancient Inuit society. But is this itself an objectively true normative claim? If it is, then we are moral realists. Indeed, the dire circumstances of ancient Inuit society would surely justify certain life-and-death decisions we wouldn’t otherwise accept. (Compare “If we don’t strangle this baby, we may all starve to death” and “If we don’t strangle this baby, we will have to pay for diapers and baby food”.) Circumstances can change what is moral, and this includes the circumstances of our cultural and ecological surroundings. So there could well be an objective normative fact that infanticide is justified by the circumstances of ancient Inuit life. But if there are objective normative facts, this is moral realism. And if there are no objective normative facts, then all moral claims are basically meaningless. Someone could just as well claim that infanticide is good for modern Americans and bad for ancient Inuits, or that larceny is good for liberal-arts students but bad for engineering students.

If instead all we mean is that particular acts are perceived as wrong in some societies but not in others, this is a factual claim, and on certain issues the evidence bears it out. But without some additional normative claim about whose beliefs are right, it is morally meaningless. Indeed, the idea that whatever society believes is right is a particularly foolish form of moral realism, as it would justify any behavior—torture, genocide, slavery, rape—so long as society happens to practice it, and it would never justify any kind of change in any society, because the status quo is by definition right. Indeed, it’s not even clear that this is logically coherent, because different cultures disagree, and within each culture, individuals disagree. To say that an action is “right for some, wrong for others” doesn’t solve the problem—because either it is objectively normatively right or it isn’t. If it is, then it’s right, and it can’t be wrong; and if it isn’t—if nothing is objectively normatively right—then relativism itself collapses as no more sound than any other belief.

In fact, the most difficult part of defending common-sense moral realism is explaining why it isn’t universally accepted. Why are there so many relativists? Why do so many anthropologists and even some philosophers scoff at the most fundamental beliefs that virtually everyone in the world has?

I should point out that it is indeed relativists, and not realists, who scoff at the most fundamental beliefs of other people. Relativists are fond of taking a stance of indignant superiority in which moral realism is just another form of “ethnocentrism” or “imperialism”. The most common battleground of contention recently is the issue of female circumcision, which is considered completely normal or even good in some African societies but is viewed with disgust and horror by most Western people. Other common choices include abortion, clothing, especially Islamic burqa and hijab, male circumcision, and marriage; given the incredible diversity in human food, clothing, language, religion, behavior, and technology, there are surprisingly few moral issues on which different cultures disagree—but relativists like to milk them for all they’re worth!

But I dare you, anthropologists: Take a poll. Ask people which is more important to them, their belief that, say, female circumcision is immoral, or their belief that moral right and wrong are objective truths? Virtually anyone in any culture anywhere in the world would sooner admit they are wrong about some particular moral issue than they would assent to the claim that there is no such thing as a wrong moral belief. I for one would be more willing to abandon just about any belief I hold before I would abandon the belief that there are objective normative truths. I would sooner agree that the Earth is flat and 6,000 years old, that the sky is green, that I am a brain in a vat, that homosexuality is a crime, that women are inferior to men, or that the Holocaust was a good thing—than I would ever agree that there is no such thing as right or wrong. This is of course because once I agreed that there is no objective normative truth, I would be forced to abandon everything else as well—since without objective normativity there is no epistemic normativity, and hence no justice, no truth, no knowledge, no science. If there is nothing objective to say about how we ought to think and act, then we might as well say the Earth is flat and the sky is green.

So yes, when I encounter other cultures with other values and ideas, I am forced to deal with the fact that they and I disagree about many things, important things that people really should agree upon. We disagree about God, about the afterlife, about the nature of the soul; we disagree about many specific ethical norms, like those regarding racial equality, feminism, sexuality and vegetarianism. We may disagree about economics, politics, social justice, even family values. But as long as we are all humans, we probably agree about a lot of other important things, like “murder is wrong”, “stealing is bad”, and “the sky is blue”. And one thing we definitely do not disagree about—the one cornerstone upon which all future communication can rest—is that these things matter, that they really do describe actual features of an actual world that are worth knowing. If it turns out that I am wrong about these things, \I would want to know! I’d much rather find out I’d been living the wrong way than continue to live the same pretending that it doesn’t matter. I don’t think I am alone in this; indeed, I suspect that the reason people get so angry when I tell them that religion is untrue is precisely because they realize how important it is. One thing religious people never say is “Well, God is imaginary to you, perhaps; but to me God is real. Truth is relative.” I’ve heard atheists defend other people’s beliefs in such terms—but no one ever defends their own beliefs that way. No Evangelical Baptist thinks that Christianity is an arbitrary social construction. No Muslim thinks that Islam is just one equally-valid perspective among many. It is you, relativists, who deny people’s fundamental beliefs.

Yet the fact that relativists accuse realists of being chauvinistic hints at the deeper motivations of moral relativism. In a word: Guilt. Moral relativism is an outgrowth of the baggage of moral guilt and self-loathing that Western societies have built up over the centuries. Don’t get me wrong: Western cultures have done terrible things, many terrible things, all too recently. We needn’t go so far back as the Crusades or the ethnocidal “colonization” of the Americas; we need only look to the carpet-bombing of Dresden in 1945 or the defoliation of Vietnam in the 1960s, or even the torture program as recently as 2009. There is much evil that even the greatest nations of the world have to answer for. For all our high ideals, even America, the nation of “life, liberty, and the pursuit of happiness”, the culture of “liberty and justice for all”, has murdered thousands of innocent people—and by “murder” I mean murder, killing not merely by accident in the collateral damage of necessary war, but indeed in acts of intentional and selfish cruelty. Not all war is evil—but many wars are, and America has fought in some of them. No Communist radical could ever burn so much of the flag as the Pentagon itself has burned in acts of brutality.

Yet it is an absurd overreaction to suggest that there is nothing good about Western culture, nothing valuable about secularism, liberal democracy, market economics, or technological development. It is even more absurd to carry the suggestion further, to the idea that civilization was a mistake and we should all go back to our “natural” state as hunter-gatherers. Yet there are anthropologists working today who actually say such things. And then, as if we had not already traversed so far beyond the shores of rationality that we can no longer see the light of home, then relativists take it one step further and assert that any culture is as good as any other.

Think about what this would mean, if it were true. To say that all cultures are equal is to say that science, education, wealth, technology, medicine—all of these are worthless. It is to say that democracy is no better than tyranny, security is no better than civil war, secularism is no better than theocracy. It is to say that racism is as good as equality, sexism is as good as feminism, feudalism is as good as capitalism.

Many relativists seem worried that moral realism can be used by the powerful and privileged to oppress others—the cishet White males who rule the world (and let’s face it, cishet White males do, pretty much, rule the world!) can use the persuasive force of claiming objective moral truth in order to oppress women and minorities. Yet what is wrong with oppressing women and minorities, if there is no such thing as objective moral truth? Only under moral realism is oppression truly wrong.

What does “can” mean, anyway?

PNRJ cognitive science, personal, science and academia , , , , , , , , , , ,

Apr 7 JDN 2460409

I don’t remember where, but I believe I once heard a “philosopher” defined as someone who asks the sort of question everyone knows the answer to, and doesn’t know the answer.

By that definition, I’m feeling very much a philosopher today.

“can” is one of the most common words in the English language; the Oxford English Corpus lists it as the 53rd most common word. Similar words are found in essentially every language, and nearly always rank among their most common.

Yet when I try to precisely define what we mean by this word, it’s surprisingly hard.

Why, you might even say I can’t.

The very concept of “capability” is surprisingly slippery—just what is someone capable of?

My goal in this post is basically to make you as confused about the concept as I am.

I think that experiencing disabilities that include executive dysfunction has made me especially aware of just how complicated the concept of ability really is. This also relates back to my previous post questioning the idea of “doing your best”.

Here are some things that “can” might mean, or even sometimes seems to mean:

1. The laws of physics do not explicitly prevent it.

This seems far too broad. By this definition, you “can” do almost anything—as long as you don’t make free energy, reduce entropy, or exceed the speed of light.

2. The task is something that other human beings have performed in the past.

This is surely a lot better; it doesn’t say that I “can” fly to Mars or turn into a tree. But by this definition, I “can” sprint as fast as Usain Bolt and swim as long as Michael Phelps—which certainly doesn’t seem right. Indeed, not only would I say I can’t do that; I’d say I couldn’t do that, no matter how hard I tried.

3. The task is something that human beings in similar physical condition to my own have performed in the past.

Okay, we’re getting warmer. But just what do we mean, “similar condition”? No one else in the world is in exactly the same condition I am.

And even if those other people are in the same physical condition, their mental condition could be radically different. Maybe they’re smarter than I am, or more creative—or maybe they just speak Swahili. It doesn’t seem right to say that I can speak Swahili. Maybe I could speak Swahili, if I spent a lot of time and effort learning it. But at present, I can’t.

4. The task is something that human beings in similar physical and mental condition to my own have performed in the past.

Better still. This seems to solve the most obvious problems. It says that I can write blog posts (check), and I can’t speak Swahili (also check).

But it’s still not specific enough. For, even if we can clearly define what constitutes “people like me” (can we?), there are many different circumstances in which people like me have been in, and what they did has varied quite a bit, depending on those circumstances.

People in extreme emergencies have performed astonishingly feats of strength, such as lifting cars. Maybe I could do something like that, should the circumstance arise? But it certainly doesn’t seem right to say that I can lift cars.

5. The task is something that human beings in similar physical and mental condition to my own have performed in the past, in circumstances similar to my own.

That solves the above problems (provided we can sufficiently define “similar” for both people and circumstances). But it actually raises a different problem: If the circumstances were so similar, shouldn’t their behavior and mine be the same?

By that metric, it seems like the only way to know if I can do something is to actually do it. If I haven’t actually done it—in that mental state, in those circumstances—then I can’t really say I could have done it. At that point, “can” becomes a really funny way of saying “do”.

So it seems we may have narrowed down a little too much here.

And what about the idea that I could speak Swahili, if I studied hard? That seems to be something broader; maybe it’s this:

6. The task is something that human beings who are in physical or mental condition that is attainable from my own condition have performed in the past.

But now we have to ask, what do we mean by “attainable”? We come right back to asking about capability again: What kind of effort can I make in order to learn Swahili, train as a pilot, or learn to SCUBA dive?

Maybe I could lift a car, if I had to do it to save my life or the life of a loved one. But without the adrenaline rush of such emergency, I might be completely unable to do it, and even with that adrenaline rush, I’m sure the task would injure me severely. Thus, I don’t think it’s fair to say I can lift cars.

So how much can I lift? I have found that I can, as part of a normal workout, bench-press about 80 pounds. But I don’t think is the limit of what I can lift; it’s more like what I can lift safely and comfortably for multiple sets of multiple reps without causing myself undue pain. For a single rep, I could probably do considerably more—though how much more is quite hard to say. 100 pounds? 120? (There are online calculators that supposedly will convert your multi-rep weight to a single-rep max, but for some reason, they don’t seem to be able to account for multiple sets for some reason. If I do 4 sets of 10 reps, is that 10 reps, or 40 reps? This is the difference between my one-rep max being 106 and it being 186. The former seems closer to the truth, but is probably still too low.)

If I absolutely had to—say, something that heavy has fallen on me and lifting it is the only way to escape—could I bench-press my own weight of about 215 pounds? I think so. But I’m sure it would hurt like hell, and I’d probably be sore for days afterward.

Now, consider tasks that require figuring something out, something I don’t currently know but could conceivably learn or figure out. It doesn’t seem right to say that I can solve the P/NP problem or the Riemann Hypothesis. But it does seem right to say that I can at least work on those problems—I know enough about them that I can at least get started, if perhaps not make much real progress. Whereas most people, while they could theoretically read enough books about mathematics to one day know enough that they could do this, are not currently in a state where they could even begin to do that.

Here’s another question for you to ponder:

Can I write a bestselling novel?

Maybe that’s no fair. Making it a bestseller depends on all sorts of features of the market that aren’t entirely under my control. So let’s make it easier:

Can I write a novel?

I have written novels. So at first glance it seems obvious that I can write a novel.

But there are many days, especially lately, on which I procrastinate my writing and struggle to get any writing done. On such a day, can I write a novel? If someone held a gun to my head and demanded that I write the novel, could I get it done?

I honestly don’t know.

Maybe there’s some amount of pressure that would in fact compel me, even on the days of my very worst depression, to write the novel. Or maybe if you put that gun to my head, I’d just die. I don’t know.

But I do know one thing for sure: It would hurt.

Writing a novel on my worst days would require enormous effort and psychological pain—and honestly, I think it wouldn’t feel all that different from trying to lift 200 pounds.

Now we are coming to the real heart of the matter:

How much cost am I expected to pay, for it to still count as within my ability?

There are many things that I can do easily, that don’t really require much effort. But this varies too.

On most days, brushing my teeth is something I just can do—I remember to do it, I choose to do it, it happens; I don’t feel like I have exerted a great deal of effort or paid any substantial cost.

But there are days when even brushing my teeth is hard. Generally I do make it happen, so evidently I can do it—but it is no longer free and effortless the way it usually is.

There are other things which require effort, but are generally feasible, such as working out. Working out isn’t easy (essentially by design), but if I put in the effort, I can make it happen.

But again, some days are much harder than others.

Then there are things which require so much effort they feel impossible, even if they theoretically aren’t.

Right now, that’s where I’m at with trying to submit my work to journals or publishers. Each individual action is certainly something I should be physically able to take. I know the process of what to do—I’m not trying to solve the Riemann Hypothesis here. I have even done it before.

But right now, today, I don’t feel like I can do it. There may be some sense in which I “can”, but it doesn’t feel relevant.

And I felt the same way yesterday, and the day before, and pretty much every day for at least the past year.

I’m not even sure if there is an amount of pressure that could compel me to do it—e.g. if I had a gun to my head. Maybe there is. But I honestly don’t know for sure—and if it did work, once again, it would definitely hurt.

Others in the disability community have a way of describing this experience, which probably sounds strange if you haven’t heard it before:

“Do you have enough spoons?”

(For D&D fans, I’ve also heard others substitute “spell slots”.)

The idea is this: Suppose you are endowed with a certain number of spoons, which you can consume as a resource in order to achieve various tasks. The only way to replenish your spoons is rest.

Some tasks are cheap, requiring only 1 or 2 spoons. Others may be very costly, requiring 10, or 20, or perhaps even 50 or 100 spoons.

But the number of spoons you start with each morning may not always be the same. If you start with 200, then a task that requires 2 will seem trivial. But if you only started with 5, even those 2 will feel like a lot.

As you deplete your available spoons, you will find you need to ration which tasks you are able to complete; thus, on days when you wake up with fewer spoons, things that you would ordinarily do may end up not getting done.

I think submitting to a research journal is a 100-spoon task, and I simply haven’t woken up with more than 50 spoons in any given day within the last six months.

I don’t usually hear it formulated this way, but for me, I think the cost varies too.

I think that on a good day, brushing my teeth is a 0-spoon task (a “cantrip”, if you will); I could do it as many times as necessary without expending any detectable effort. But on a very bad day, it will cost me a couple of spoons just to do that. I’ll still get it done, but I’ll feel drained by it. I couldn’t keep doing it indefinitely. It will prevent me from being able to do something else, later in the day.

Writing is something that seems to vary a great deal in its spoon cost. On a really good day when I’m feeling especially inspired, I might get 5000 words written and feel like I’ve only spent 20 spoons; while on a really bad day, that same 20 spoons won’t even get me a single paragraph.

It may occur to you to ask:

What is the actual resource being depleted here?

Just what are the spoons, anyway?

That, I really can’t say.

I don’t think it’s as simple as brain glucose, though there were a few studies that seemed to support such a view. If it were, drinking something sugary ought to fix it, and generally that doesn’t work (and if you do that too often, it’s bad for your health). Even weirder is that, for some people, just tasting sugar seems to help with self-control. My own guess is that if your particular problem is hypoglycemia, drinking sugar works, and otherwise, not so much.

There could be literally some sort of neurotransmitter reserves that get depleted, or receptors that get overloaded; but I suspect it’s not even that simple either. These are the models we use because they’re the best we have—but the brain is in reality far more complicated than any of our models.

I’ve heard people say “I ran out of serotonin today”, but I’m fairly sure they didn’t actually get their cerebrospinal fluid tested first. (And since most of your serotonin is actually in your gut, if they really ran out they should be having severe gastrointestinal symptoms.) (I had my cerebrospinal fluid tested once; most agonizing pain of my life. To say that I don’t recommend the experience is such an understatement, it’s rather like saying Hell sounds like a bad vacation spot. Indeed, if I believed in Hell, I would have to imagine it feels like getting a spinal tap every day for eternity.)

So for now, the best I can say is, I really don’t know what spoons are. And I still don’t entirely know what “can” means. But at least maybe now you’re as confused as I am.

Lamentations of a temporary kludge

PNRJ cognitive science, core principles , , , , , , , ,

Dec 17 JDN 2460297

Most things in the universe are just that—things. They consist of inanimate matter, blindly following the trajectories the laws of physics have set them on. (Actually, most of the universe may not even be matter—at our current best guess, most of the universe is mysterious “dark matter” and even more mysterious “dark energy”).

Then there are the laws: The fundamental truths of physics and mathematics are omnipresent and eternal. They could even be called omniscient, in the sense that all knowledge which could ever be conveyed must itself be possible to encode in physics and mathematics. (Could, in some metaphysical sense, knowledge exist that cannot be conveyed this way? Perhaps, but if so, we’ll never know nor even be able to express it.)

The reason physics and mathematics cannot simply be called God is twofold: One, they have no minds of their own; they do not think. Two, they do not care. They have no capacity for concern whatsoever, no desires, no goals. Mathematics seeks neither your fealty nor your worship, and physics will as readily destroy you as reward you. If the eternal law is a god, it is a mindless, pitilessly indifferent god—a Blind Idiot God.

But we are something special, something in between. We are matter, yes; but we are also pattern. Indeed, what makes me me and makes you you has far more to do with the arrangement of trillions of parts than it does with any particular material. The atoms in your body are being continually replaced, and you barely notice. But should the pattern ever be erased, you would be no more.

In fact, we are not simply one pattern, but many. We are a kludge: Billions of years of random tinkering has assembled us from components that each emerged millions of years apart. We could move before we could see; we could see before we could think; we could think before we could speak. All this evolution was mind-bogglingly gradual: In most cases it would be impossible to tell the difference one generation—or even one century—to the next. Yet as raindrops wear away mountains, one by one, we were wrought from mindless fragments of chemicals into beings of thought, feeling, reason—beings with hopes, fears, and dreams.

Much of what makes our lives difficult ultimately comes from these facts.

Our different parts were not designed to work together. Indeed, they were not really designed at all. Each component survived because it worked well enough to stay alive in the environment in which our ancestors lived. We often find ourselves in conflict with our own desires, in part because those desires evolved for very different environments than the ones we now find ourselves—and in part because there is no particular reason for evolution to avoid conflict, so long as survival is achieved.

As patterns, we can experience the law. We can write down equations that express small pieces of the fundamental truths that exist throughout the universe beyond space and time. From “2+2=4” to “Gμν + Λgμν = κTμν“, through mathematics, we glimpse eternity.

But as matter, we are doomed to suffer, degrade, and ultimately die. Our pattern cannot persist forever. Perhaps one day we will find a way to change this—and if that day comes, it will be a glorious day; I will make no excuses for the dragon. For now, at least, it is a truth that we must face: We, all we love, and all we build must one day perish.

That is, we are not simply a kludge; we are a temporary one. Sooner or later, our bodies will fail and our pattern will be erased. What we were made of may persist, but in a form that will no longer be us, and in time, may become indistinguishable from all the rest of the universe.

We are flawed, for the same reason that a crystal is flawed. A theoretical crystal can be flawless and perfect; but a real, physical one must exist in an actual world where it will suffer impurities and disturbances that keep it from ever truly achieving perfect unity and symmetry. We can imagine ourselves as perfect beings, but our reality will always fall short.

We lament that are not perfect, eternal beings. Yet I am not sure it could have been any other way: Perhaps one must be a temporary kludge in order to be a being at all.

When maximizing utility doesn’t

PNRJ critique of neoclassical economics, ethics, futurism , , , , , , , , , , ,

Jun 4 JDN 2460100

Expected utility theory behaves quite strangely when you consider questions involving mortality.

Nick Beckstead and Teruji Thomas recently published a paper on this: All well-defined utility functions are either reckless in that they make you take crazy risks, or timid in that they tell you not to take even very small risks. It’s starting to make me wonder if utility theory is even the right way to make decisions after all.

Consider a game of Russian roulette where the prize is $1 million. The revolver has 6 chambers, 3 with a bullet. So that’s a 1/2 chance of $1 million, and a 1/2 chance of dying. Should you play?

I think it’s probably a bad idea to play. But the prize does matter; if it were $100 million, or $1 billion, maybe you should play after all. And if it were $10,000, you clearly shouldn’t.

And lest you think that there is no chance of dying you should be willing to accept for any amount of money, consider this: Do you drive a car? Do you cross the street? Do you do anything that could ever have any risk of shortening your lifespan in exchange for some other gain? I don’t see how you could live a remotely normal life without doing so. It might be a very small risk, but it’s still there.

This raises the question: Suppose we have some utility function over wealth; ln(x) is a quite plausible one. What utility should we assign to dying?


The fact that the prize matters means that we can’t assign death a utility of negative infinity. It must be some finite value.

But suppose we choose some value, -V, (so V is positive), for the utility of dying. Then we can find some amount of money that will make you willing to play: ln(x) = V, x = e^(V).

Now, suppose that you have the chance to play this game over and over again. Your marginal utility of wealth will change each time you win, so we may need to increase the prize to keep you playing; but we could do that. The prizes could keep scaling up as needed to make you willing to play. So then, you will keep playing, over and over—and then, sooner or later, you’ll die. So, at each step you maximized utility—but at the end, you didn’t get any utility.

Well, at that point your heirs will be rich, right? So maybe you’re actually okay with that. Maybe there is some amount of money ($1 billion?) that you’d be willing to die in order to ensure your heirs have.

But what if you don’t have any heirs? Or, what if we consider making such a decision as a civilization? What if death means not only the destruction of you, but also the destruction of everything you care about?

As a civilization, are there choices before us that would result in some chance of a glorious, wonderful future, but also some chance of total annihilation? I think it’s pretty clear that there are. Nuclear technology, biotechnology, artificial intelligence. For about the last century, humanity has been at a unique epoch: We are being forced to make this kind of existential decision, to face this kind of existential risk.

It’s not that we were immune to being wiped out before; an asteroid could have taken us out at any time (as happened to the dinosaurs), and a volcanic eruption nearly did. But this is the first time in humanity’s existence that we have had the power to destroy ourselves. This is the first time we have a decision to make about it.

One possible answer would be to say we should never be willing to take any kind of existential risk. Unlike the case of an individual, when we speaking about an entire civilization, it no longer seems obvious that we shouldn’t set the utility of death at negative infinity. But if we really did this, it would require shutting down whole industries—definitely halting all research in AI and biotechnology, probably disarming all nuclear weapons and destroying all their blueprints, and quite possibly even shutting down the coal and oil industries. It would be an utterly radical change, and it would require bearing great costs.

On the other hand, if we should decide that it is sometimes worth the risk, we will need to know when it is worth the risk. We currently don’t know that.

Even worse, we will need some mechanism for ensuring that we don’t take the risk when it isn’t worth it. And we have nothing like such a mechanism. In fact, most of our process of research in AI and biotechnology is widely dispersed, with no central governing authority and regulations that are inconsistent between countries. I think it’s quite apparent that right now, there are research projects going on somewhere in the world that aren’t worth the existential risk they pose for humanity—but the people doing them are convinced that they are worth it because they so greatly advance their national interest—or simply because they could be so very profitable.

In other words, humanity finally has the power to make a decision about our survival, and we’re not doing it. We aren’t making a decision at all. We’re letting that responsibility fall upon more or less randomly-chosen individuals in government and corporate labs around the world. We may be careening toward an abyss, and we don’t even know who has the steering wheel.

What is it with EA and AI?

PNRJ cognitive science, computer science, ethics, futurism, inequality, public policy, science and academia , , , , , , , , , ,

Jan 1 JDN 2459946

Surprisingly, most Effective Altruism (EA) leaders don’t seem to think that poverty alleviation should be our top priority. Most of them seem especially concerned about long-term existential risk, such as artificial intelligence (AI) safety and biosecurity. I’m not going to say that these things aren’t important—they certainly are important—but here are a few reasons I’m skeptical that they are really the most important the way that so many EA leaders seem to think.

1. We don’t actually know how to make much progress at them, and there’s only so much we can learn by investing heavily in basic research on them. Whereas, with poverty, the easy, obvious answer turns out empirically to be extremely effective: Give them money.

2. While it’s easy to multiply out huge numbers of potential future people in your calculations of existential risk (and this is precisely what people do when arguing that AI safety should be a top priority), this clearly isn’t actually a good way to make real-world decisions. We simply don’t know enough about the distant future of humanity to be able to make any kind of good judgments about what will or won’t increase their odds of survival. You’re basically just making up numbers. You’re taking tiny probabilities of things you know nothing about and multiplying them by ludicrously huge payoffs; it’s basically the secular rationalist equivalent of Pascal’s Wager.

2. AI and biosecurity are high-tech, futuristic topics, which seem targeted to appeal to the sensibilities of a movement that is still very dominated by intelligent, nerdy, mildly autistic, rich young White men. (Note that I say this as someone who very much fits this stereotype. I’m queer, not extremely rich and not entirely White, but otherwise, yes.) Somehow I suspect that if we asked a lot of poor Black women how important it is to slightly improve our understanding of AI versus giving money to feed children in Africa, we might get a different answer.

3. Poverty eradication is often characterized as a “short term” project, contrasted with AI safety as a “long term” project. This is (ironically) very short-sighted. Eradication of poverty isn’t just about feeding children today. It’s about making a world where those children grow up to be leaders and entrepreneurs and researchers themselves. The positive externalities of economic development are staggering. It is really not much of an exaggeration to say that fascism is a consequence of poverty and unemployment.

4. Currently the main thing that most Effective Altruism organizations say they need most is “talent”; how many millions of person-hours of talent are we leaving on the table by letting children starve or die of malaria?

5. Above all, existential risk can’t really be what’s motivating people here. The obvious solutions to AI safety and biosecurity are not being pursued, because they don’t fit with the vision that intelligent, nerdy, young White men have of how things should be. Namely: Ban them. If you truly believe that the most important thing to do right now is reduce the existential risk of AI and biotechnology, you should support a worldwide ban on research in artificial intelligence and biotechnology. You should want people to take all necessary action to attack and destroy institutions—especially for-profit corporations—that engage in this kind of research, because you believe that they are threatening to destroy the entire world and this is the most important thing, more important than saving people from starvation and disease. I think this is really the knock-down argument; when people say they think that AI safety is the most important thing but they don’t want Google and Facebook to be immediately shut down, they are either confused or lying. Honestly I think maybe Google and Facebook should be immediately shut down for AI safety reasons (as well as privacy and antitrust reasons!), and I don’t think AI safety is yet the most important thing.

Why aren’t people doing that? Because they aren’t actually trying to reduce existential risk. They just think AI and biotechnology are really interesting, fascinating topics and they want to do research on them. And I agree with that, actually—but then they need stop telling people that they’re fighting to save the world, because they obviously aren’t. If the danger were anything like what they say it is, we should be halting all research on these topics immediately, except perhaps for a very select few people who are entrusted with keeping these forbidden secrets and trying to find ways to protect us from them. This may sound radical and extreme, but it is not unprecedented: This is how we handle nuclear weapons, which are universally recognized as a global existential risk. If AI is really as dangerous as nukes, we should be regulating it like nukes. I think that in principle it could be that dangerous, and may be that dangerous someday—but it isn’t yet. And if we don’t want it to get that dangerous, we don’t need more AI researchers, we need more regulations that stop people from doing harmful AI research! If you are doing AI research and it isn’t directly involved specifically in AI safety, you aren’t saving the world—you’re one of the people dragging us closer to the cliff! Anything that could make AI smarter but doesn’t also make it safer is dangerous. And this is clearly true of the vast majority of AI research, and frankly to me seems to also be true of the vast majority of research at AI safety institutes like the Machine Intelligence Research Institute.

Seriously, look through MIRI’s research agenda: It’s mostly incredibly abstract and seems completely beside the point when it comes to preventing AI from taking control of weapons or governments. It’s all about formalizing Bayesian induction. Thanks to you, Skynet can have a formally computable approximation to logical induction! Truly we are saved. Only two of their papers, on “Corrigibility” and “AI Ethics”, actually struck me as at all relevant to making AI safer. The rest is largely abstract mathematics that is almost literally navel-gazing—it’s all about self-reference. Eliezer Yudkowsky finds self-reference fascinating and has somehow convinced an entire community that it’s the most important thing in the world. (I actually find some of it fascinating too, especially the paper on “Functional Decision Theory”, which I think gets at some deep insights into things like why we have emotions. But I don’t see how it’s going to save the world from AI.)

Don’t get me wrong: AI also has enormous potential benefits, and this is a reason we may not want to ban it. But if you really believe that there is a 10% chance that AI will wipe out humanity by 2100, then get out your pitchforks and your EMP generators, because it’s time for the Butlerian Jihad. A 10% chance of destroying all humanity is an utterly unacceptable risk for any conceivable benefit. Better that we consign ourselves to living as we did in the Neolithic than risk something like that. (And a globally-enforced ban on AI isn’t even that; it’s more like “We must live as we did in the 1950s.” How would we survive!?) If you don’t want AI banned, maybe ask yourself whether you really believe the risk is that high—or are human brains just really bad at dealing with small probabilities?

I think what’s really happening here is that we have a bunch of guys (and yes, the EA and especially AI EA-AI community is overwhelmingly male) who are really good at math and want to save the world, and have thus convinced themselves that being really good at math is how you save the world. But it isn’t. The world is much messier than that. In fact, there may not be much that most of us can do to contribute to saving the world; our best options may in fact be to donate money, vote well, and advocate for good causes.

Let me speak Bayesian for a moment: The prior probability that you—yes, you, out of all the billions of people in the world—are uniquely positioned to save it by being so smart is extremely small. It’s far more likely that the world will be saved—or doomed—by people who have power. If you are not the head of state of a large country or the CEO of a major multinational corporation, I’m sorry; you probably just aren’t in a position to save the world from AI.

But you can give some money to GiveWell, so maybe do that instead?

The radical uncertainty of life

PNRJ core principles, financial advice, futurism , , ,

Jul 31 JDN 2459792

It’s a question you get a lot in job interviews, and sometimes from elsewhere as well: “Where do you see yourself in ten years?”

I never quite know how to answer such a question, because the future is so full of uncertainty.

Ten years from now:

I could be a tenured professor, or have left academia entirely. I could be teaching here at Edinburgh, or at an even more prestigious university, or at a tiny, obscure school. I could be working in private industry, or unemployed. I could be working as a full-time freelance writer.

I could have published nothing new, or have published a few things, or have won a Fields Medal. (It’s especially unlikely to have won a Nobel by then, but it’s a bit less unlikely that I might have done work that would one day lead to one.)

I could be still living in the United Kingdom, or back in the United States, or in some other country entirely.

I could be healthier than I am now, or permanently disabled. I could even be dead, from a variety of diseases, or a car accident, or a gunshot wound.

I could have adopted three children, or none. I could be divorced. My spouse could be dead.

It could even all be moot because the Russian war in Ukraine—or some other act of Russian aggression—has escalated into a nuclear Third World War.

These are the relatively likely scenarios.

I’m not saying I’m going to win a Fields Medal—but I am the sort of person who wins Fields Medals, surely far more likely than any randomly selected individual. I’m not saying we’re going to have WW3, but we’re definitely closer to it than we’ve been since the end of the Cold War.

There are plenty of other, unlikely scenarios that still remain possible:

I could be working in finance, or engineering, or medicine. I could be living on a farm. I could be President of the United States. I could have won a multi-million-dollar lottery and retired to a life of luxury and philanthropy. Those seem rather unlikely for me personally—but they are all true of someone, somewhere.

I could be living on a space station, or a Lunar base. I could be cybernetically enhanced. 2032 seems early for such things—but it didn’t to folks writing in the 1980s, so who knows? (Maybe it will even happen so gradually we won’t notice: Is a glucose-monitoring implant a cybernetic enhancement? It doesn’t seem so unlikely I might one day have one of those.)

None of us really knows what the future is going to hold. We could say what we want, or what we expect is the most likely, but more often than not, the world will surprise us.

What does this mean for our lives now? Should we give up trying to make plans, since the future is so unpredictable? Should we “eat, drink, and be merry, for tomorrow we die”?

I think the key is to realize that there is a kind of planning that’s still useful even if you can’t predict what will happen—and that is to plan to be flexible and resilient.

You can keep your eyes open for opportunities, rather than trying too hard to hold onto what you already have. Rather than trying in vain to keep everything the same, you can accept that your life is going to change and try to direct that change in better directions.

Rather than planning on staying in the same career for your whole life—which hardly anyone in our generation does—you should expect to change careers, and be working on building a wide range of transferable skills and a broad network of friends and colleagues. Maybe sooner or later you’ll find the right place to settle down, but it could be awhile.

You may not know where you’ll be living or working in ten years, but odds are pretty good that it’ll still be useful for you to have some money saved up, so you should probably save some money. If we end up in a post-scarcity utopia, you won’t need it, but you also won’t care. If we end up in a post-apocalyptic hellscape, it really won’t matter one way or the other. And those two extremes are about what would need to happen for you not to be able to make use of savings.

And where should you put that saved money? Stocks, bonds, cryptocurrency? Well, crypto would give you a chance at spectacular gains—but a much larger chance of spectacular losses. Bonds are very safe, but also don’t grow very much. So, as I’ve said before, you probably want to buy stocks. Yes, you could end up better off by choosing something else; but you have to play the odds, and stocks give you the best odds.

You will have setbacks at some point, either small or large. Everyone does. You can’t plan for what they will be, but you can plan to have resources available to deal with them.

Hey, maybe you should even buy life insurance, just in case you really do die tomorrow. You probably won’t—but somebody will, and doesn’t know it yet.

Hypocrisy is underrated

PNRJ cognitive science, ethics, heuristics and biases, politics , , , , , , ,

Sep 12 JDN 2459470

Hypocrisy isn’t a good thing, but it isn’t nearly as bad as most people seem to think. Often accusing someone of hypocrisy is taken as a knock-down argument for everything they are saying, and this is just utterly wrong. Someone can be a hypocrite and still be mostly right.

Often people are accused of hypocrisy when they are not being hypocritical; for instance the right wing seems to think that “They want higher taxes on the rich, but they are rich!” is hypocrisy, when in fact it’s simply altruism. (If they had wanted the rich guillotined, that would be hypocrisy. Maybe the problem is that the right wing can’t tell the difference?) Even worse, “They live under capitalism but they want to overthrow capitalism!” is not even close to hypocrisy—let alone why, how would someone overthrow a system they weren’t living under? (There are many things wrong with Marxists, but that is not one of them.)

But in fact I intend something stronger: Hypocrisy itself just isn’t that bad.


There are currently two classes of Republican politicians with regard to the COVID vaccines: Those who are consistent in their principles and don’t get the vaccines, and those who are hypocrites and get the vaccines while telling their constituents not to. Of the two, who is better? The hypocrites. At least they are doing the right thing even as they say things that are very, very wrong.

There are really four cases to consider. The principles you believe in could be right, or they could be wrong. And you could follow those principles, or you could be a hypocrite. Each of these two factors is independent.

If your principles are right and you are consistent, that’s the best case; if your principles are right and you are a hypocrite, that’s worse.

But if your principles are wrong and you are consistent, that’s the worst case; if your principles are wrong and you are a hypocrite, that’s better.

In fact I think for most things the ordering goes like this: Consistent Right > Hypocritical Wrong > Hypocritical Right > Consistent Wrong. Your behavior counts for more than your principles—so if you’re going to be a hypocrite, it’s better for your good actions to not match your bad principles.

Obviously if we could get people to believe good moral principles and then follow them, that would be best. And we should in fact be working to achieve that.

But if you know that someone’s moral principles are wrong, it doesn’t accomplish anything to accuse them of being a hypocrite. If it’s true, that’s a good thing.

Here’s a pretty clear example for you: Anyone who says that the Bible is infallible but doesn’t want gay people stoned to death is a hypocrite. The Bible is quite clear on this matter; Leviticus 20:13 really doesn’t leave much room for interpretation. By this standard, most Christians are hypocrites—and thank goodness for that. I owe my life to the hypocrisy of millions.

Of course if I could convince them that the Bible isn’t infallible—perhaps by pointing out all the things it says that contradict their most deeply-held moral and factual beliefs—that would be even better. But the last thing I want to do is make their behavior more consistent with their belief that the Bible is infallible; that would turn them into fanatical monsters. The Spanish Inquisition was very consistent in behaving according to the belief that the Bible is infallible.

Here’s another example: Anyone who thinks that cruelty to cats and dogs is wrong but is willing to buy factory-farmed beef and ham is a hypocrite. Any principle that would tell you that it’s wrong to kick a dog or cat would tell you that the way cows and pigs are treated in CAFOs is utterly unconscionable. But if you are really unwilling to give up eating meat and you can’t find or afford free-range beef, it still would be bad for you to start kicking dogs in a display of your moral consistency.

And one more example for good measure: The leaders of any country who resist human rights violations abroad but tolerate them at home are hypocrites. Obviously the best thing to do would be to fight human rights violations everywhere. But perhaps for whatever reason you are unwilling or unable to do this—one disturbing truth is that many human rights violations at home (such as draconian border policies) are often popular with your local constituents. Human-rights violations abroad are also often more severe—detaining children at the border is one thing, a full-scale genocide is quite another. So, for good reasons or bad, you may decide to focus your efforts on resisting human rights violations abroad rather than at home; this would make you a hypocrite. But it would still make you much better than a more consistent leader who simply ignores all human rights violations wherever they may occur.

In fact, there are cases in which it may be optimal for you to knowingly be a hypocrite. If you have two sets of competing moral beliefs, and you don’t know which is true but you know that as a whole they are inconsistent, your best option is to apply each set of beliefs in the domain for which you are most confident that it is correct, while searching for more information that might allow you to correct your beliefs and reconcile the inconsistency. If you are self-aware about this, you will know that you are behaving in a hypocritical way—but you will still behave better than you would if you picked the wrong beliefs and stuck to them dogmatically. In fact, given a reasonable level of risk aversion, you’ll be better off being a hypocrite than you would by picking one set of beliefs arbitrarily (say, at the flip of a coin). At least then you avoid the worst-case scenario of being the most wrong.

There is yet another factor to take into consideration. Sometimes following your own principles is hard.

Considerable ink has been spilled on the concept of akrasia, or “weakness of will”, in which we judge that A is better than B yet still find ourselves doing B. Philosophers continue to debate to this day whether this really happens. As a behavioral economist, I observe it routinely, perhaps even daily. In fact, I observe it in myself.

I think the philosophers’ mistake is to presume that there is one simple, well-defined “you” that makes all observations and judgments and takes actions. Our brains are much more complicated than that. There are many “you”s inside your brain, each with its own capacities, desires, and judgments. Yes, there is some important sense in which they are all somehow unified into a single consciousness—by a mechanism which still eludes our understanding. But it doesn’t take esoteric cognitive science to see that there are many minds inside you: Haven’t you ever felt an urge to do something you knew you shouldn’t do? Haven’t you ever succumbed to such an urge—drank the drink, eaten the dessert, bought the shoes, slept with the stranger—when it seemed so enticing but you knew it wasn’t really the right choice?

We even speak of being “of two minds” when we are ambivalent about something, and I think there is literal truth in this. The neural networks in your brain are forming coalitions, and arguing between them over which course of action you ought to take. Eventually one coalition will prevail, and your action will be taken; but afterward your reflective mind need not always agree that the coalition which won the vote was the one that deserved to.

The evolutionary reason for this is simple: We’re a kludge. We weren’t designed from the top down for optimal efficiency. We were the product of hundreds of millions of years of subtle tinkering, adding a bit here, removing a bit there, layering the mammalian, reflective cerebral cortex over the reptilian, emotional limbic system over the ancient, involuntary autonomic system. Combine this with the fact that we are built in pairs, with left and right halves of each kind of brain (and yes, they are independently functional when their connection is severed), and the wonder is that we ever agree with our own decisions.

Thus, there is a kind of hypocrisy that is not a moral indictment at all: You may genuinely and honestly agree that it is morally better to do something and still not be able to bring yourself to do it. You may know full well that it would be better to donate that money to malaria treatment rather than buy yourself that tub of ice cream—you may be on a diet and full well know that the ice cream won’t even benefit you in the long run—and still not be able to stop yourself from buying the ice cream.

Sometimes your feeling of hesitation at an altruistic act may be a useful insight; I certainly don’t think we should feel obliged to give all our income, or even all of our discretionary income, to high-impact charities. (For most people I encourage 5%. I personally try to aim for 10%. If all the middle-class and above in the First World gave even 1% we could definitely end world hunger.) But other times it may lead you astray, make you unable to resist the temptation of a delicious treat or a shiny new toy when even you know the world would be better off if you did otherwise.

Yet when following our own principles is so difficult, it’s not really much of a criticism to point out that someone has failed to do so, particularly when they themselves already recognize that they failed. The inconsistency between behavior and belief indicates that something is wrong, but it may not be any dishonesty or even anything wrong with their beliefs.

I wouldn’t go so far as to say you should stop ever calling out hypocrisy. Sometimes it is clearly useful to do so. But while hypocrisy is often the sign of a moral failing, it isn’t always—and even when it is, often as not the problem is the bad principles, not the behavior inconsistent with them.