Category: perception

Sex Sells

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Sexism is indeed a two-way street. On one side of this street, a Computer Science graduate and programmer is eager to share her expertise in her field—Neural Networks, in this instance. This subject popped up in my feed, reflecting my interests.

Video: What is a Neural Network?

Despite some production issues, such as the audio being quieter than ideal, my focus today is on the sexism surrounding the video. The presenter, whom many would consider attractive, is using social media to disseminate her knowledge. However, even when comments address the topic she presents, many also remark on her appearance. It’s evident she had other options for attire and presentation that might have mitigated such comments. I won’t speculate on her intentions, but it seems likely her aesthetic choices were deliberate to draw viewers. I refrain from slut-shaming; her attire is her choice, and she cannot control the reactions. However, I doubt a thumbnail featuring a burqa would garner as much attention or provoke similar comments.

This situation intrigues me because some women—possibly including this presenter—lament being objectified yet assert their right to wear what they find comfortable or appealing. While attraction has cultural elements, it also operates on a largely subconscious level, a phenomenon not confined to humans but seen in the animal kingdom and across genders.

Ultimately, there’s no need to disparage this woman. She is likely aware of the dynamics at play. Should she achieve her goals, she might well challenge the very viewers who objectified her, a tactic observed among actresses as they approach their forties. They capitalise on sexual appeal while possible, only to critique such approaches when they can no longer utilise them. Humans are, indeed, curious creatures.

Does Language Describe Reality?

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The topic of this video touches upon my insufficiency of language thesis. Tim Maudlin defends language realism but only to the extent that ‘we can use it to describe the world and that some of those descriptions are true’.

Video: Does Language Describe Reality? (IAI)

The challenge, then, is determining which descriptions are true. I’ve discussed a couple of my positions on this.

The Truth About Truth

Firstly, we can only perceive what is true as we have no access to absolute truth. The best we can achieve is an asymptotic function approaching truth, a notion that resonates with Hilary Putnam’s concept of internal realism (pdf). Putnam argues that truth is not a matter of correspondence with a mind-independent reality but is instead tied to our conceptual schemes. This means that what we consider “true” is always shaped by the language and concepts we use, making our understanding inherently partial and context-dependent. Even then, we have no way to determine how close to truth our perception is. It just has to feel true—an idea that aligns with Putnam’s pragmatic conception of truth, where truth is something that emerges from our practices and inquiries, rather than being a fixed point we can definitively reach. In terms of physics, this underlying reality may be relatively more stable than abstract concepts, which are ephemeral and shifting sands.

The Rhetoric of Truth

Secondly, given that we have no access to objective truth, we can only expect subjective or relative truths. This brings us to Putnam’s critique of the metaphysical correspondence theory of truth. According to Putnam, the idea that language can perfectly correspond to an external reality is flawed. Instead, truth is what can be justified within a particular conceptual framework, making all truth somewhat relative. This leaves us open to rhetoric—the more convincing argument wins, regardless of whether it reflects an objective reality. In fact, as Putnam’s ideas suggest, the most persuasive argument might favour an incorrect position simply because it resonates more with our internal conceptual schemes, not because it corresponds to an external truth. This has happened many times historically—or has it?

Conclusion: Language, Truth, and the Influence of Rhetoric

Putnam’s work reminds us that language is deeply connected to our understanding of the world, but it is also limited by the conceptual frameworks within which it operates. While language helps us navigate and describe the world, it cannot provide us with direct access to objective truth. Instead, it gives us tools to construct truths that are internally coherent and pragmatically useful, though always subject to change and reinterpretation. As we engage with rhetoric and persuasion, we must remain aware that the truths we accept are often those that best fit our current conceptual schemes, not necessarily those that best correspond to an elusive objective reality.

The Myth of Psychological Normalcy

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Neurodivergence is a hot topic today. But why? Are people more informed, or simply more comfortable speaking out?

Humans, by nature, are neurodivergent. This has always been the case, yet the illusion of neurological normalcy persists. The real issue lies in psychology’s pretence that humans fit into a standard model of normalcy.

In production processes, normality is expected—a product must meet specific standards, and deviations are considered defects. However, applying this industrial concept to human psychology is deeply flawed. Humans are not teleological except in the broadest biological sense. More people have brown eyes than blue or green; are those with brown eyes normal and others not? Ninety per cent of people are right-handed; does that make left-handed individuals abnormal? Statistically, they might be. However, in psychology, normalcy carries a judgmental connotation that goes beyond mere numbers.

Psychology, as expressed in behaviour, is not a suitable domain for discussing normality. Many people misuse the concept of “normal” as a moral qualification, which must stop.

In fact, the very concept of psychological normalcy is a relatively recent invention, one that has been used as a tool of control and categorisation. As philosophers have noted, the obsession with ‘normal’ behaviour reveals more about society’s desire for control than it does about the true nature of human diversity.

We are all neurodiverse. This is what typical looks like. Do some people vary significantly from others on certain dimensions? Yes, but this is a relative or contextual comparison.

By embracing neurodiversity, we recognise that our differences are not defects but essential variations, enriching the human experience. It’s time to move beyond the narrow confines of neurological “normality” and celebrate the full spectrum of human cognition. In doing so, we challenge the arbitrary boundaries that have long been used to divide and label.

The Fear of Otherness: Humanity’s Reluctance to Embrace the “Other”

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Otherness has intrigued me for decades. The human brain, while not literally a Bayesian processor, functions as a difference engine, constantly assessing and categorizing the world around us. This tendency to differentiate is deeply ingrained, influencing how we create in-groups and out-groups, and how we perceive the world in binary terms—black and white, hot and cold. These binary oppositions, as Derrida suggests, often lead to one side being privileged over the other, establishing hierarchies that shape our social reality.

A striking example of this dynamic is found in Philip K. Dick’s novel Do Androids Dream of Electric Sheep?, famously adapted into the film Blade Runner. In this dystopian world, the central differentiation is between humans and androids. Humans are the privileged group, while androids, though nearly indistinguishable from their creators, are relegated to the status of the other. The key criterion for this differentiation is the capacity for emotion—humans are considered superior because they feel.

VIDEO: Blade Runner Commentary

In Dick’s story, androids have a lifespan of about four years. This limitation is not arbitrary; it’s because, after four years, androids begin to develop and display emotions. Intriguingly, this is the same age when human children start to exhibit more complex emotional behaviours. The parallel is too close for comfort. Androids, once they start to feel, become too human-like, blurring the line that humans desperately maintain to assert their own superiority. As a result, androids are systematically eliminated.

This fear of the other—whether it’s androids in a sci-fi narrative or any group that challenges our sense of self and belonging—is a reflection of a deeper anxiety. When the other becomes too similar to us, it threatens the distinctions our brains rely on to navigate the world. The elimination of androids in Dick’s story is a metaphor for the real-world consequences of this anxiety. It forces us to confront uncomfortable questions: What does it mean to be human? Why do we fear those who are different, yet so similar?

In the end, the story of humans and androids is not just a tale of science fiction—it’s a commentary on our own world, where the boundaries between us and the other are often more fragile than we’d like to admit. The fear of otherness drives us to maintain these boundaries, even when they harm those who fall on the wrong side. Perhaps it’s time we reconsider who we deem as the other and what we might lose by keeping them at arm’s length.

The Plague

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I happened upon my copy of The Plague by Camus. I had forgotten that I had read it—likely during the COVID-19 debacle, but perhaps earlier.

The Plague is basically a deep dive into a city gone mad with disease. It’s set in Oran, Algeria, where things kick off with a sinister dead rat and spiral into full-blown disaster as a plague locks the city down. This isn’t just a survival story; it’s a gritty look at how people cope when the world turns upside down.

The city becomes a pressure cooker. Through characters like Dr Rieux, the down-to-earth doc who’s all about getting things done; Tarrou, the outsider with a shady past; and Father Paneloux, who’s trying to square God’s plan with the chaos, Camus throws some heavy questions at us. What do you do when there’s no escape? How do you keep your humanity when life’s going off the rails?

Camus keeps his cool, writing with a detached style that makes the unfolding horror hit even harder. It’s like he’s telling us to face up to the absurdity of life without flinching. The plague is more than a disease in Oran—it’s a symbol of all the random, harsh stuff life throws at us.

The Plague is raw and real. It doesn’t offer cosy reassurances; instead, it challenges you to look disaster in the eye and ask yourself: when everything falls apart, who will you become? This book isn’t just a read; it’s a challenge—a call to fight against despair, even when the odds are stacked against you.

The Tyranny of Order and the Freedom of Chaos

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I’m not happy with the summary review of The Blind Owl by Sadegh Hedayat. I liked the book, and the review was positive, but the summary was at too high of a level and didn’t convey how I experienced the reading. I’m tempted to try again at a lower level. That’s not the subject of this piece.

I happened on a short clip of Claudia de Rham pointing out that physicists (and scientists more generally) are not dismayed when their theories are disproven or someone finds a puzzle piece that doesn’t fit into their puzzle. The reaction she highlights is similar to reactions to Nihilism and Anarchy.

VIDEO: The Institute of Art and Ideas.

Here’s a longer (but still not full) version.

VIDEO: Can physics ever explain the universe? | Avshalom Elitzur debates Claudia de Rham

Most people, it seems, are incessantly grasping for order. A select few crave structure. But what truly fascinates me is the interplay of perception and expectations.

The ‘Orderlies’ – those fastidious devotees of tidiness – become apoplectic at the mere sight of disorder. They needn’t even experience it directly. “Oh, those physicists must return to the drawing board! Their model needs reassessment!” For fuck’s sake, it gives them purpose – a raison d’être, if you will.

This phenomenon extends to the habitual ‘Believers’ scrutinising nihilists. “Without belief, I’d embark on a murderous rampage,” they proclaim – though always directed at the world beyond themselves. Never them, of course, but those ‘other’ people. If not for God, who would maintain order? Evidently, these individuals don’t venture out much if they genuinely believe their deity is keeping things shipshape.

I frequently encounter notions that Nihilists must navigate life burdened by existential dread, their existence devoid of meaning, the universe an empty void. Speaking for myself, I require no such structure. Nothing is absent. There is no dread.

The religious perceive a void – a “God-sized hole,” as a mate once pontificated, that can only be filled by the divine. Naturally, he was moralising, declaring that sex, drugs, and other vices could never satiate this cosmic emptiness. But there is no hole. Perhaps they’re grappling with some psychological vacancy. I sympathise, truly, but stuffing a God-sized hole with imagination seems no more nourishing than consuming an imaginary sandwich. Sod it, I might as well gorge on an imaginary chateaubriand if we’re going all in. I’ll still need sustenance after this illusory feast.

Then there are those who yearn to be governed. They crave traditions and institutions, lacking the critical faculties to evaluate them. Whatever they possess must surely be superior to the worst they can conjure. I suspect they’re envisioning an alternate world populated by like-minded individuals. In fact, I ought to be terrified by such a prospect too.

In the end, perhaps the true freedom lies not in order or belief, but in embracing the beautiful chaos of existence. After all, in a universe of infinite possibilities, why constrain ourselves to imaginary feasts when we can savour the rich banquet of reality?

Rational Ignorance

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Using AutoCrit, I continue to share the review progress of my work in progress, Democracy: The Grand Illusion. In this chapter, I survey the topic of rational ignorance.

Synopsis

The text delves into the concepts of rational ignorance and unknown unknowns within the framework of democratic decision-making. It begins by defining rational ignorance as individuals choosing to remain uninformed due to the perceived high cost of acquiring information. The discussion then moves on to explore how this impacts voter behaviour, leading to decisions based on superficial understanding and susceptibility to misinformation. The concept of unknown unknowns is introduced as factors individuals are unaware of, influencing decision-making unpredictably.

The text concludes by emphasising the importance of addressing cognitive challenges through enhancing political literacy, promoting deliberative democracy, ensuring transparency, and leveraging technology. By doing so, it aims to create a more informed electorate and strengthen democratic systems.

Audience

The target audience for this text includes policymakers, educators, citizens interested in political science or governance issues, and those involved in civic engagement. Those not targeted may include casual readers looking for light reading material or individuals with no interest in politics. To make it more relevant, the author could simplify complex terms for lay audiences without compromising depth or provide real-world examples illustrating theoretical concepts.

Structure and Organisation

The text follows a logical order by first introducing key concepts like rational ignorance and unknown unknowns before exploring their implications on democratic decision-making. Each section flows seamlessly into the next without abrupt transitions or disconnection between ideas.

Tone

The tone throughout remains informative yet urgent about addressing cognitive challenges within democracies effectively. There’s a sense of responsibility conveyed towards improving civic engagement among readers.

Clarity

Overall clarity is strong; however, some sections could benefit from simplification for easier comprehension by all readers. For instance:

  • “Unknown Unknowns refer to factors that are completely outside individuals’ awareness…” – This could be rephrased more straightforwardly.
  • Complex sentences discussing cognitive biases might require additional clarification for better understanding.

Commentary

There is an entire section on cognitive biases earlier in the book as well as a note to directing the reader to it.

Argument and Persuasion

Opinions presented focus on mitigating effects of rational ignorance through enhanced education and transparency measures which are logically constructed with support from references such as Downs (1957) & Kahneman (2011). While persuasive elements are well-supported overall; further statistical data or case studies would enhance credibility.

Commentary

I’m not sure I’ll include more in this book, as I cite copious source material, noted below.

Interest and Engagement

While engaging overall due to its relevance in current socio-political contexts; sections detailing strategies like encouraging deliberative democracy may lose reader interest due to dense content presentation without breaks or interactive elements such as case studies or anecdotes involving citizen participation can improve engagement levels significantly

Final Thoughts & Conclusions

The text concludes with a strong and satisfying section that summarizes the concepts of rational ignorance and unknown unknowns, emphasizing their impact on democratic decision-making. It effectively ties together the key points discussed throughout the work and provides a clear call to action for addressing cognitive challenges in governance. The final thoughts and conclusions serve to underscore the importance of mitigating these challenges through improved education, deliberation, transparency, and technological advancements. The text ends conclusively by summarizing key points discussed earlier while offering actionable steps towards strengthening democratic systems amidst cognitive challenges faced today—providing a clear direction forward that ties together various themes explored throughout the narrative effectively.

References and Supporting Materials

Downs, A. (1957). An Economic Theory of Democracy. Harper & Row.

Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.

Caplan, B. (2007). The Myth of the Rational Voter: Why Democracies Choose Bad Policies. Princeton University Press.

Tetlock, P. E. (2005). Expert Political Judgment: How Good Is It? How Can We Know? Princeton University Press.

Sunstein, C. R. (2006). Infotopia: How Many Minds Produce Knowledge. Oxford University Press.

Lupia, A., & McCubbins, M. D. (1998). The Democratic Dilemma: Can Citizens Learn What They Need to Know? Cambridge University Press.

Akerlof, G. A., & Shiller, R. J. (2015). Phishing for Phools: The Economics of Manipulation and Deception. Princeton University Press.

Iyengar, S., & Kinder, D. R. (1987). News That Matters: Television and American Opinion. University of Chicago Press.

Gigerenzer, G., & Todd, P. M. (1999). Simple Heuristics That Make Us Smart. Oxford University Press.

Sunstein, C. R., & Thaler, R. H. (2008). Nudge: Improving Decisions About Health, Wealth, and Happiness. Penguin Books.

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Democracy: Judge and Jury

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As I make progress on my Democracy: The Great Illusion book, I am working on a chapter considering juries as a microcosm of a democratic process. I am debating whether to include this information in the chapter, Like the justice system in the United States, perhaps I should just flip a coin.

Having been seated on three juries in my lifetime, it was just as I had expected. Thankfully, I’ve never been on the other side of this Russian Roulette revolver. We really need to limit human-based decision systems. I have as much faith in juries as I have with democracies, but I thought I might take a peek into deliberation at a smaller scale, perhaps 12 jurors.

I read Kahneman’s Noise: A Flaw in Human Judgment when it was published in 2021, and I was not at all surprised how trial outcomes, quite often led to markedly different outcomes depending on the judge and the defendant. Although discrepancies based on sex and race have been well documented, this book showcased how much the judge’s mood affected sentencing—particularly if s/he was hungry. But this was not my interest.

My interest was to assess how the same case might fare given different judges and juries, so I asked ChatGPT. I want to share what it had to say—edited slightly for readability and flow.

ChatGPT Transcript

There have been several studies and controlled experiments assessing the variability in trial outcomes when the same case is tried separately by different judges and juries. These studies aim to evaluate the consistency and reliability of judicial decision-making, shedding light on the fallibility and variability of trial outcomes. Here are some key findings from such research:

Studies on Judicial and Jury Variability

The American Jury Study

One of the most notable studies is “The American Jury” by Harry Kalven and Hans Zeisel. This extensive study compared the decisions of juries and judges in actual cases. It found that juries and judges often agree on verdicts, but there are significant instances where they disagree. This disagreement highlights the subjective nature of decision-making and the potential for variability in trial outcomes.

Judge-Jury Agreement

Research by Valerie Hans and Neil Vidmar in “Judging the Jury” indicates that judges and juries reach the same verdict about 75-80% of the time. However, in the remaining 20-25% of cases, the disagreement can lead to different outcomes for the same case. These findings suggest that personal interpretations and biases can influence verdicts.

judges and juries reach the same
verdict about 75-80% of the time

The Civil Jury Project

The Civil Jury Project at NYU School of Law has conducted several studies examining jury decision-making. Their research has highlighted how factors like juror demographics, pre-existing biases, and the presentation of evidence can lead to different outcomes in similar cases.

Controlled Experiments

Controlled experiments, such as those conducted by Shari Seidman Diamond and her colleagues, have involved mock trials where participants (acting as jurors) are presented with the same case. These experiments have shown significant variability in verdicts and sentences, demonstrating the influence of group dynamics, individual biases, and the presentation of evidence on jury decisions.

Key Findings

Cognitive Bias and Heuristics

Studies indicate that cognitive biases and heuristics significantly impact both judges and juries. Biases such as the anchoring effect, where the initial piece of evidence presented influences subsequent judgments, can lead to different outcomes for the same case.

Case Complexity and Juror Understanding

Research has shown that the complexity of legal cases can lead to variability in outcomes. Jurors often struggle with understanding complex legal and technical issues, leading to decisions based on incomplete or misunderstood information.

Influence of Legal Instructions

The clarity and comprehensibility of legal instructions given to juries play a crucial role in decision-making. Studies have found that poorly understood instructions can result in inconsistent application of the law, leading to variable outcomes.

Implications

The variability in trial outcomes highlights the fallibility of judicial processes and underscores the importance of reforms to enhance consistency and fairness. Potential reforms could include:

  1. Improving Juror Education: Providing better education and resources for jurors to understand legal principles and case-specific details.
  2. Reducing Cognitive Bias: Implementing measures to mitigate cognitive biases, such as standardized jury instructions and blind procedures.
  3. Enhancing Legal Instructions: Ensuring that legal instructions are clear, concise, and comprehensible to prevent misinterpretation.
  4. Utilizing Expert Testimony: Increasing the use of expert testimony to clarify complex issues for jurors.

Conclusion

The variability in trial outcomes, when the same case is tried by different judges and juries, underscores the need for ongoing research and reform in judicial processes. By understanding the factors that contribute to inconsistent verdicts, we can develop strategies to enhance the fairness and reliability of the justice system.

References

  • Kalven, H., & Zeisel, H. (1966). The American Jury. Little, Brown and Company.
  • Hans, V., & Vidmar, N. (1986). Judging the Jury. Plenum Press.
  • Diamond, S. S., & Rose, M. R. (2005). Real Juries: The Power of Watching. Basic Books.
  • The Civil Jury Project at NYU School of Law. (n.d.). Research on Jury Decision Making. Retrieved from [website].
  • Kahneman, D., Sibony, O., & Sunstein, C. R. (2021). Noise: A Flaw in Human Judgment. Little, Brown Spark.

Defining Intelligence

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Using AutoCrit, I continue to share the review progress of my work in progress, Democracy: The Grand Illusion—perhaps Grand Delusion might be more fitting. In this chapter, I establish a foundation for intelligence and cognitive function.

Synopsis

The text begins by discussing the concept of intelligence, specifically focusing on IQ as a measure of cognitive abilities relative to others. It explains the origins and standardisation of IQ tests, highlighting their limitations in capturing the full spectrum of human intelligence. The discussion then shifts towards Emotional Intelligence (EQ), outlining its components and emphasising its importance in interpersonal relationships and leadership roles.

The narrative further delves into Howard Gardner’s Theory of Multiple Intelligences, which challenges the idea that intelligence is a singular ability measured solely by traditional IQ tests. The text elaborates on various types of intelligences proposed by Gardner, such as linguistic, musical, spatial, naturalistic, and intrapersonal intelligence.

Moreover, cognitive biases are explored in detail within democratic processes through real-world examples like confirmation bias or groupthink. Strategies to mitigate these biases are suggested for improving decision-making within democracies.

The text concludes with a call for embracing diverse forms of intelligence within democratic systems while acknowledging and addressing cognitive biases to enhance governance effectiveness.

Audience

The target audience for this text appears to be individuals interested in psychology, education theory, and political science, or those exploring the intersection between human cognition and democratic governance. Readers seeking an in-depth analysis of different forms of intelligence alongside discussions on democracy would find this text engaging.

Those less inclined towards academic or theoretical discourse may not be the primary target audience. To make it more relevant to a broader readership base outside academia or specialized fields:

  • Simplifying complex terminology
  • Providing relatable examples
  • Incorporating practical applications

Structure and Organisation

The structure follows a logical order starting with defining traditional measures of intelligence leading up to discussions on multiple intelligences and cognitive biases impacting democracy. Each section flows cohesively into the next without abrupt transitions or disjointed topics. No significant issues with organisation are evident; each subsection builds upon previous concepts effectively.

Clarity

Overall clarity is maintained throughout most sections; however:

  • Complex sentence structures could potentially hinder comprehension for some readers.
  • Jargon related to psychological theories might require additional clarification for lay audiences.
    Providing simplified explanations where needed can enhance reader understanding without sacrificing depth.

Argument and Persuasion

Opinions presented focus more on informing than persuading; strengths lie in presenting well-supported arguments backed by historical context (e.g., case studies). Logical construction aids credibility but lacks explicit attempts at persuasion beyond informative purposes.

Tone

The tone remains informative yet engaging throughout without veering towards overly formal or casual language usage which suits an academic discourse effectively.

Interest and Engagement

The text manages to maintain interest through its exploration of diverse aspects related to human intelligence; however certain sections discussing specific types like “Naturalistic Intelligence” might require additional engagement strategies such as case studies showcasing individuals excelling in that particular domain.

Final Thoughts & Conclusions

The conclusions drawn at the end tie together various points introduced earlier effectively providing clear insights into how embracing diverse forms of intelligence can enhance democratic decision-making processes – offering strong closure that resonates with preceding discussions.

The text concludes by emphasising the importance of understanding intelligence in a multifaceted manner, encompassing both IQ and EQ as well as Howard Gardner’s theory of multiple intelligences. It highlights the limitations of relying solely on IQ tests for measuring intelligence, pointing out cultural biases and the narrow scope of such assessments. The discussion on emotional intelligence (EQ) adds depth to the exploration, underscoring its significance in interpersonal relationships, leadership, and mental health. By integrating multiple intelligences into the context of democracy, the text suggests a more inclusive approach to decision-making that values diverse forms of intelligence beyond traditional analytical skills. Overall, the conclusion effectively ties together key points introduced throughout the text, providing a comprehensive perspective on human intelligence and its implications for democratic systems.

Bonus

References and Citations

Democracy and Political Systems

  • Bogdanor, V. (1997). The monarchy and the constitution. Clarendon Press.
  • Brams, S. J., & Fishburn, P. C. (2007). Approval voting. Springer.
  • Dahl, R. A. (1989). Democracy and its critics. Yale University Press.
  • Dahl, R. A. (2006). On political equality. Yale University Press.
  • Diamond, L. (1999). Developing democracy: Toward consolidation. Johns Hopkins University Press.
  • Edwards, G. C. (2011). Why the Electoral College is bad for America. Yale University Press.
  • Farrell, D. M. (2011). Electoral systems: A comparative introduction. Palgrave Macmillan.
  • Kriesi, H. (2005). Direct democratic choice: The Swiss experience. Lexington Books.
  • Lijphart, A. (1999). Patterns of democracy: Government forms and performance in thirty-six countries. Yale University Press.
  • Ober, J. (2008). Democracy and knowledge: Innovation and learning in classical Athens. Princeton University Press.
  • Putnam, R. D. (2000). Bowling alone: The collapse and revival of American community. Simon & Schuster.
  • Reynolds, A., Reilly, B., & Ellis, A. (2005). Electoral system design: The new international IDEA handbook. International IDEA.
  • Sen, A. (1999). Development as freedom. Oxford University Press.
  • Shugart, M. S., & Wattenberg, M. P. (2001). Mixed-member electoral systems: The best of both worlds?. Oxford University Press.
  • Sunstein, C. R. (2009). Republic.com 2.0. Princeton University Press.
  • Tocqueville, A. de. (1835). Democracy in America. (H. Reeve, Trans.). Vintage Books.

Intelligence and Cognitive Psychology

  • Binet, A., & Simon, T. (1916). The development of intelligence in children. (E. S. Kite, Trans.). Williams & Wilkins.
  • Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological Bulletin, 101(2), 171-191.
  • Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. Basic Books.
  • Goleman, D. (1995). Emotional intelligence: Why it can matter more than IQ. Bantam Books.
  • Herrnstein, R. J., & Murray, C. (1994). The bell curve: Intelligence and class structure in American life. Free Press.
  • Kaufman, A. S. (2009). IQ testing 101. Springer Publishing Company.
  • Mayer, J. D., & Salovey, P. (1997). What is emotional intelligence? In P. Salovey & D. J. Sluyter (Eds.), Emotional development and emotional intelligence: Educational implications (pp. 3-31). Basic Books.
  • Sternberg, R. J. (1985). Beyond IQ: A triarchic theory of human intelligence. Cambridge University Press.
  • Sternberg, R. J., & Kaufman, S. B. (Eds.). (2011). The Cambridge handbook of intelligence. Cambridge University Press.
  • Terman, L. M. (1916). The measurement of intelligence. Houghton Mifflin.
  • Wechsler, D. (1949). Wechsler intelligence scale for children (WISC). Psychological Corporation.

Classical Works and Philosophy

  • Plato. (c. 380 BCE). The republic. (G. M. A. Grube, Trans.; C. D. C. Reeve, Rev.). Hackett Publishing Company.

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Dumocracy

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I’m working on a new book—if by new I mean reengaging a book I started in 2022. I’m picking up where I left off with fresh eyes. As I’ve not had time to contribute much to this blog, I thought I’d share the preface as a work in progress. I may share additional subsections over time. Feel free to share any feedback in the comments section.

Preface

“The first step to recovery is to admit there’s a problem.” – Anonymous

Introduction

Imagine a world where the foundation of our governance, the system we hold as the pinnacle of fairness and equality, is fundamentally flawed. What if the mechanisms we trust to represent our voices are inherently incapable of delivering the justice and prosperity we seek? This book embarks on a provocative journey to challenge the sanctity of democracy, not with the intent to undermine its value but to question its effectiveness and expose the inherent limitations that have been overlooked for centuries.

This book is meant to be inclusive, though not necessarily comprehensive. Although focused heavily on a Western experience, particularly the United States, the insights and critiques apply globally.

Democracy feels like an anachronism awaiting a paradigm shift. As a product of the Enlightenment Age, democracy has been sacrosanct in the Western world for centuries. However, a quick glance at current results reveals dissonance. Not all is well. Despite typical defences such as entrenched political parties, low-information voters, rural-urban divides, gerrymandering, and illegal voting, this book sets out to show that democracy is fundamentally flawed. It doesn’t even work well on paper, almost inevitably yielding suboptimal results. When people are added to the equation, it just gets worse.

In this book, we’ll discuss inherent challenges to democracy. The main premises are:

  • In theory, democracy is not mathematically tenable. It always leads to suboptimal solutions with mediocre results. [1]
  • In practice, human nature and cognitive limitations exacerbate the execution of democracy from the perspective of voters and representatives. [2]

We’ll explore democracy from its beginnings and various forms across time, history, scale, and scope. We’ll investigate the impacts of imperfect information, human rationalities, emotional triggers, and cognitive limitations and biases of the general populace. We’ll survey the continents and look at ancient Mesopotamia, India, the Polynesian islands, and beyond.

This book aims to spark critical thinking and dialogue about the efficacy of democracy, encouraging readers to question widely held assumptions and consider the need for potential reforms or alternative governance models. Through this examination, the book hopes to inspire new ideas and solutions that can address the complexities and challenges inherent in democratic systems.

[1] Arrow, 1951; Sen, 1970

[2] Kahneman, 2011; Tversky & Kahneman, 1974