What is *Intelligence: All That Matters* about?

*Intelligence: All That Matters* explores the science of human intelligence, arguing that IQ is a measurable, impactful trait linked to health, career success, and societal outcomes. Stuart Ritchie debunks myths about intelligence testing, emphasizing its role in problem-solving, learning, and adapting to technological complexity. The book synthesizes decades of research to show why intelligence matters in education, aging, and public policy.

Who should read *Intelligence: All That Matters*?

Psychology students, educators, and professionals in career development or public health will find this book valuable. It’s also ideal for general readers seeking data-driven insights into IQ controversies, cognitive aging, or how intelligence shapes life outcomes. Ritchie’s accessible writing makes complex topics approachable for non-experts.

Is *Intelligence: All That Matters* worth reading?

Yes—Ritchie’s concise, evidence-based analysis clarifies misunderstood topics like genetic influences on IQ and the validity of intelligence testing. The book balances academic rigor with real-world examples, offering actionable takeaways for improving educational and workplace policies. It’s particularly relevant in 2025 as AI and automation heighten demands for cognitive adaptability.

What definition of intelligence does Stuart Ritchie use?

Ritchie cites psychologist Linda Gottfredson’s definition: intelligence is a “very general mental capability” involving reasoning, problem-solving, abstract thinking, and quick learning. He stresses it’s not just academic skill but a broader capacity to comprehend and adapt to one’s environment—a predictor of health, income, and longevity.

How does intelligence affect health outcomes?

Higher IQ correlates with healthier lifestyles, better disease prevention, and longer lifespans. Ritchie argues that understanding these links could tailor healthcare interventions—for example, simplifying medical instructions for lower-IQ patients to reduce errors. This connection underscores intelligence as a public health priority.

Does intelligence decline with age?

Yes, but the rate varies. Fluid intelligence (problem-solving) often peaks in early adulthood, while crystallized intelligence (knowledge) remains stable longer. Ritchie highlights research on cognitive training and education to mitigate decline, emphasizing policies to support aging populations in tech-driven societies.

What criticisms does the book address about IQ research?

Ritchie confronts claims that IQ tests are culturally biased or meaningless. He acknowledges historical misuse of intelligence research but defends its validity through replication studies and real-world correlations (e.g., job performance). The book distinguishes between scientific rigor and past ethical failures.

How does *Intelligence: All That Matters* compare to *The Bell Curve*?

Unlike *The Bell Curve*, Ritchie avoids controversial claims about group differences, focusing instead on individual and societal impacts of IQ. Both books agree on intelligence’s predictive power, but Ritchie emphasizes methodological transparency and ethical applications.

インテリジェンス――知能をめぐる６つの誤解

すべては、重要である

スチュアート・リッチー

4.05(696 Reviews)

『インテリジェンス――知能をめぐる６つの誤解』の概要

知能に関する神話を打破するスチュアート・リッチーの簡潔なガイドは、IQの遺伝性から教育の可能性まで、論争を呼ぶトピックに取り組んでいます。あなたの知能は実際に向上させることができるのでしょうか？心理学者が、遺伝的現実と環境の可能性のバランスをとったこの明快な著作を推奨する理由、そしてなぜそれが重要なのかを探ってみましょう。

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第1章

The Intelligence Enigma: Unlocking the Science Behind Our Most Human Attribute

When Stephen Hawking was asked about his IQ, he famously replied, "I have no idea. People who boast about their IQ are losers." This sentiment reflects a curious paradox: many intellectuals publicly dismiss intelligence testing while privately acknowledging its validity. Intelligence research remains one of psychology's most robust yet controversial fields, with findings regularly published in prestigious journals like Nature and Science. Stuart Ritchie's groundbreaking work cuts through misconceptions to reveal that intelligence testing isn't just meaningful-it's predictive of education, career success, health outcomes, and even longevity. As society grows increasingly complex and knowledge-based, understanding intelligence becomes not just academically interesting but practically essential for addressing challenges from educational inequality to cognitive aging.

第2章

The Evolution of Intelligence Testing: From Galton to Modern Neuroscience

Intelligence testing began surprisingly recently despite humanity's age-old recognition of mental differences. Arthur Jensen suggested two compelling reasons for this delay: the historical view of rationality as divine (and thus unmeasurable) and limited access to formal education where intelligence differences become most apparent. The scientific measurement of intelligence emerged only in the mid-19th century, coinciding with the introduction of compulsory education across Europe, which created both the need and opportunity to understand cognitive differences systematically. Francis Galton, Darwin's polymathic cousin, pioneered this field while studying why certain families achieved greater "eminence" than others. His research included extensive genealogical studies of accomplished British families, leading to his controversial theory of inherited intelligence. In 1884, he established an "Anthropometric Laboratory" in London, collecting data on thousands of visitors' reaction times, sensory discrimination abilities, and physical characteristics. His methods, though primitive by modern standards, introduced statistical concepts still fundamental to psychometrics, including regression to the mean and correlation coefficients. The first true intelligence tests emerged from Alfred Binet's work in 1904, commissioned by the French government to identify children needing special educational support. Unlike Galton's physical measurements, Binet focused on higher mental processes, creating age-appropriate tasks that could determine a child's "mental age" relative to their chronological age. His innovative approach included memory tests, problem-solving scenarios, and verbal comprehension exercises that formed the foundation for modern intelligence testing. Lewis Terman at Stanford University significantly expanded Binet's work, standardizing the test for American use and coining the term "IQ." His longitudinal study of high-scoring children, known as the "Termites," tracked 1,528 gifted individuals throughout their lives, providing unprecedented insights into intellectual development. Meanwhile, Robert Yerkes developed group-administrable tests (Army Alpha and Beta) used for military recruitment during World War I, testing over 1.75 million recruits and demonstrating the practical utility of intelligence testing at scale. Charles Spearman's discovery of the g-factor revolutionized understanding of intelligence. Through statistical analysis, he found that performance across different cognitive tasks was positively correlated, suggesting an underlying general intelligence factor. This finding led to the development of factor analysis and influenced all subsequent intelligence research, including modern theories of multiple intelligences and cognitive hierarchies. In Britain, intelligence testing profoundly influenced educational policy through the 1944 Butler Education Act, establishing grammar schools that selected students based on the "11-plus" examination. High-scoring children received advanced curricula including Classics and mathematics, while others attended technical or secondary modern schools. This tripartite system, though meritocratic in intent, often reinforced social class divisions and was gradually replaced by comprehensive education starting in the 1960s. The field's connection to eugenics cast a dark shadow over early intelligence research. Many progressive thinkers of the era, including most intelligence pioneers except Binet, supported selective human breeding. Galton himself coined the term "eugenics" and established the first eugenics research center at University College London. These ideas contributed to forced sterilization programs in various countries, including the United States, Sweden, and Nazi Germany. However, modern intelligence researchers emphasize the importance of separating historical political misuse from scientific findings about cognitive differences, recognizing that empirical facts themselves carry no inherent moral implications.

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第3章

Inside Modern Intelligence Assessment: Beyond the IQ Score

Modern intelligence testing bears little resemblance to the simplistic puzzles found in online "IQ tests." A proper assessment takes over an hour, administered by trained professionals, and measures multiple cognitive domains. Tests derived from David Wechsler's designs, such as the WAIS-IV (Wechsler Adult Intelligence Scale) and WISC-V (Wechsler Intelligence Scale for Children), remain the gold standard, comprehensively evaluating various mental abilities through carefully standardized procedures. Reasoning abilities are assessed through matrix tasks requiring pattern recognition and verbal reasoning questions about conceptual similarities. For example, participants might need to complete a sequence of geometric patterns or explain how two seemingly different items like "democracy" and "orchestra" are similar. Memory gets tested through digit span tasks that challenge working memory by having you repeat number sequences in reverse order, as well as visual memory tasks involving recall of complex figures. Knowledge assessment includes vocabulary definitions ranging from common words like "umbrella" to obscure terms like "pellucid," along with general knowledge questions covering science, history, and culture at increasing levels of difficulty. Processing speed measures how quickly you can match symbols or identify shapes under time pressure, while spatial ability tests require mentally rotating three-dimensional objects and solving visual puzzles. Your performance gets compared to "norms" from large representative samples of thousands of people matched for age and demographics, with the average score set at 100 and a standard deviation of 15 points. Scores follow a bell curve distribution with approximately 68% of people scoring between 85 and 115, while only about 2% achieve scores above 130 or below 70. Test-retest reliability is typically high (r = 0.80), though not perfect-your scores will vary slightly but cluster around your "true" ability level, with fluctuations of 5-7 points common between testing sessions. The most remarkable finding in intelligence research is what psychologists call "the positive manifold"-people who excel at one type of cognitive test tend to perform well on all others, regardless of the specific skills being measured. This phenomenon, confirmed in over 460 datasets across cultures and testing methods, led Charles Spearman to propose the g-factor (general intelligence) as an underlying mental capability. Using sophisticated statistical techniques like factor analysis, psychologists extract this shared element from correlated test scores. The g-factor typically explains about half of all intellectual differences between people, making it one of the most robust findings in psychological science. While g is present in all cognitive tests, each also requires specific skills (s-factors) unique to particular domains. Tests involving complex reasoning or vocabulary tend to have higher "g-loadings" (correlations with general intelligence) than simpler tasks like reaction time tests. Complex problem-solving tasks might have g-loadings of 0.7 or higher, while simple perceptual speed tests might only load 0.3-0.4 on g. Remarkably, g-factors extracted from completely different test batteries correlate almost perfectly (r > 0.95), suggesting a fundamental mental capacity rather than an artifact of test design. Beyond g, psychologists have identified important substructures in human intelligence. One influential model developed by Raymond Cattell divides intelligence into "fluid" and "crystallized" components. Fluid intelligence (Gf) involves solving novel problems without prior knowledge, such as identifying patterns or logical relationships, while crystallized intelligence (Gc) draws on accumulated knowledge and experience, including vocabulary and factual knowledge. This distinction becomes particularly relevant when examining cognitive development across the lifespan, as fluid abilities tend to peak in early adulthood and gradually decline, while crystallized abilities can continue to grow throughout life with continued learning and experience.

第4章

The Real-World Impact of Intelligence: From Classrooms to Lifespans

Intelligence has profound real-world implications, including its striking relationship with longevity. Studies consistently show that people with higher IQ scores tend to outlive their less intelligent peers-in some research, IQ predicts mortality risk as strongly as smoking does. The connection between intelligence and education is particularly robust. IQ scores correlate remarkably strongly with both academic achievement and educational duration. In one landmark study of over 13,000 schoolchildren, the correlation between age-11 IQ scores and age-16 exam results reached an astonishing r = 0.81-a correlation strength almost unheard of in psychology. This demonstrates that whatever standardized exams measure is very close to what IQ tests assess, even with a five-year gap between measurements. In the workplace, intelligence strongly predicts performance across numerous metrics-monetary output, efficiency, manager ratings, and training absorption. While the correlation is strongest for complex jobs requiring abstract thinking and independent judgment, IQ predicts performance even in simpler roles. These relationships help explain why intelligence tests remain widely used in employee selection despite controversy. Better job performance typically translates to higher income and social class, though the correlation between IQ and social class (r = 0.30 to 0.50) is weaker than for education. Perhaps most surprising is intelligence's relationship with health outcomes. The emerging field of cognitive epidemiology has consistently found correlations between intelligence and reduced risk of physical conditions like heart disease and mental health disorders like schizophrenia. Swedish research shows a striking "staircase effect" where each higher IQ category corresponds to lower mortality risk-being 15 IQ points higher in childhood leads to a 24% lower risk of death in subsequent decades. This intelligence-mortality link operates through multiple pathways: higher-IQ individuals make better health decisions, perceive risks more effectively (reducing accidents and homicides), and may have genetic advantages affecting both brain and body development. Higher-intelligence individuals tend to exercise more, eat better diets, and avoid smoking-all behaviors that promote longevity. Intelligence extends beyond traditional domains to influence creativity, political views, religious beliefs, and wellbeing. Despite arguments that IQ tests miss creative ability, they correlate positively with laboratory creativity measures and real-world creative achievements like patents and artistic prizes. Intelligence also predicts political orientations-higher-IQ individuals tend to be more socially liberal (less racist, sexist, and authoritarian) and more politically engaged, though the relationship with economic views is more complex.

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第5章

The Biological Foundations: Genes, Brains, and Evolution

Our species name Homo sapiens ("wise man") emphasizes intelligence as our defining characteristic. While many animals evolved different survival strategies-being small, fast, or armored-humans developed complex thinking skills that flexibly address multiple challenges. The traditional explanation involves brain size increase over evolutionary time, as evidenced by expanding skull capacity in fossil records, from Australopithecus (400cc) to modern humans (1400cc). While larger brains generally enable more complex cognition, the organization and efficiency of neural networks also evolved significantly, particularly in areas supporting language, social cognition, and abstract reasoning. Twin studies provide compelling evidence for genetic influences on intelligence by comparing identical twins (sharing nearly 100% of DNA) with fraternal twins (sharing about 50%). Identical twins show much more similar IQ scores (correlations around 0.80) than fraternal twins (around 0.55), even when raised apart. Using statistical techniques like structural equation modeling, researchers calculate that intelligence is approximately 50% heritable-meaning half of intelligence differences between people are attributable to genetic factors. Intriguingly, heritability increases with age, from about 20% in early childhood to 80% in adulthood, suggesting genetic influences become more prominent as we mature and select environments matching our predispositions. While genetics plays a major role, environmental factors also matter significantly. However, the term "environment" splits into "shared" (factors making siblings similar, like parenting style, socioeconomic status, or neighborhood) and "non-shared" (unique experiences like particular teachers, peer groups, or individual life events). Surprisingly, shared environment has minimal effect on adult intelligence-smart parents have smart children primarily because of genes, not parenting styles or educational resources. This finding, known as the "nature of nurture" phenomenon, suggests that genetic predispositions often drive environmental experiences. Intelligence is highly polygenic-influenced by thousands of genes each with tiny effects rather than a few genes with large impacts. Modern research uses Genome-Wide Association Studies (GWAS) with hundreds of thousands of participants to hunt these small effects. While few intelligence-related variants have been definitively identified so far, the APOE gene has been linked to lower intelligence and faster cognitive decline in later life. Recent studies have identified over 1,000 genetic variants associated with educational attainment, a proxy for intelligence, though each accounts for only a tiny fraction of variance. Neuroimaging studies reveal complex relationships between brain structure and intelligence. Brain size correlates modestly with intelligence (r = 0.24), though this relationship explains only a small portion of intelligence differences. The frontal lobes, particularly important for fluid intelligence and executive function, develop differently in high-IQ children-their cortex stays thicker longer, potentially allowing more time for complex neural networks to form. The Parieto-Frontal Integration Theory (P-FIT) suggests intelligence depends on networks connecting frontal and parietal lobes, with white matter tracts transmitting signals between them. People with more efficient white matter connections tend to score higher on IQ tests, especially for reasoning and processing speed. Advanced imaging techniques like diffusion tensor imaging (DTI) show that neural efficiency and connectivity patterns may be more important than raw brain size in determining cognitive ability.

第6章

Can Intelligence Be Improved? Separating Fact from Fiction

With intelligence linked to so many positive outcomes, it's natural to wonder whether it can be enhanced. Unfortunately, many popular methods lack scientific support. The famous "Mozart Effect"-the claim that listening to classical music temporarily boosts IQ-has proven neither robust nor reliable, with many independent researchers failing to replicate the original findings. Despite this, a huge industry sells Mozart recordings claiming to boost intelligence, particularly targeting parents with babies. "Brain training" video games have similarly disappointing evidence. While specific training programs like the "n-back" task can improve performance on the trained task itself, evidence for "transfer" to general intelligence remains mixed at best. Most commercial brain training programs lack rigorous scientific validation. When evaluating IQ-boosting claims, ask four key questions: (1) Is the claim too good to be true, promising huge IQ increases? (2) Is it based on peer-reviewed studies in legitimate scientific journals? (3) Has the technique been replicated by independent researchers? (4) Is the effect generalizable across different populations? Some health interventions do show promise for improving intelligence. Evidence from developing countries shows removing parasitic worms increases children's IQ by freeing resources for brain development. In developed countries, banning lead from gasoline improved children's IQ scores by reducing toxic exposure. Dietary improvements like iodine supplementation significantly benefit intelligence in malnourished children, though supplements like omega-3 fish oils show disappointing results in already healthy populations. Education appears to be the most effective way to raise IQ. A natural experiment in Norway, where mandatory education was extended by two years (implemented at different times across regions), showed that extra schooling added 3.7 IQ points per year. Intensive early educational interventions like the Perry Preschool Project and Abecedarian Project showed initial IQ boosts that faded by adulthood, though other benefits like reduced criminal offending persisted. Perhaps most intriguing is the "Flynn Effect"-intelligence test scores have been rising by about 3 points per decade since testing began. James Flynn argues this isn't just due to improved nutrition and education, but reflects a fundamental shift in thinking styles. Modern society has adopted more abstract, scientific thinking compared to the concrete, experience-based thinking of earlier generations. The Flynn Effect is stronger in developing countries as they industrialize, and contrary to expectations, shows no signs of slowing even in highly developed nations.

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『インテリジェンス――知能をめぐる６つの誤解』の一語一語が音声に合わせてリアルタイムでハイライトされ、自然に読み進められます。

第7章

The Controversy Surrounding Intelligence Research

Intelligence research remains one of psychology's most contentious fields despite extensive scientific evidence supporting the validity and reliability of IQ measurement. Many researchers deliberately avoid using the term "intelligence," instead employing euphemisms like "cognitive function," "general mental ability," or "information processing capacity." This self-censorship reflects the deep-seated controversies that have plagued the field for over a century. The field's troubled history represents the first major source of controversy. Many pioneering intelligence researchers, including Charles Spearman and Cyril Burt, actively supported eugenics movements, leading to deplorable applications in immigration restriction and forced sterilization programs. However, the immoral beliefs and applications of original scientists don't invalidate well-supported scientific findings, just as Nazi discoveries about smoking's link to cancer remain scientifically valid despite their origins. Alfred Binet, who developed the first practical intelligence test, actually created his measures to identify and help children struggling in school, not to classify or eliminate them. A second source of controversy stems from the uncomfortable reality that intelligence research consistently reveals: human cognitive abilities differ measurably between individuals, these differences significantly impact life outcomes from academic achievement to job performance, and they appear to have substantial biological components. This scientific reality conflicts with deeply held egalitarian values and beliefs about human potential, leading to endless debates and the popularity of alternative theories like Howard Gardner's multiple intelligences, despite limited empirical support. The most heated battlegrounds in intelligence research concern sex and race differences. Comprehensive data from Scotland's national testing program showed identical average IQ scores between boys and girls, challenging common stereotypes. However, two robust sex differences consistently emerge: women typically perform better on verbal comprehension, memory, and processing speed, while men excel at spatial visualization and mechanical reasoning (these differences generally balance out in overall scores). Additionally, males show greater variability in test scores, being overrepresented at both the highest and lowest ends of the intelligence distribution - a pattern known as the "greater male variability hypothesis." The introduction of genetics into intelligence discussions provokes the strongest reactions. Twin studies, adoption studies, and modern molecular genetics all indicate that genetic factors influence cognitive ability. Many fear this implies intelligence is completely fixed and that achieving social equality is impossible. This represents a fundamental misunderstanding - genes don't explain 100% of IQ differences, with environmental factors playing a substantial role, particularly in early development. Intelligence can be improved through education, nutrition, and environmental enrichment, as evidenced by the Flynn Effect - the sustained rise in IQ scores across generations. Like athletic ability, cognitive capabilities naturally vary between individuals, but rather than attempting to eliminate all differences, society might better focus on raising intelligence levels across the population while ensuring fair opportunities for all. The controversy has practical consequences, as researchers must carefully navigate these sensitive topics while maintaining scientific integrity. This often results in self-censorship and reduced funding for important research questions that could benefit education and human development.

第8章

Why Intelligence Research Matters: Beyond the Controversy

Despite the controversy, there are compelling reasons to study intelligence. First is the crucial link between intelligence and health outcomes. The strong relationship between IQ scores and mortality risk demonstrates intelligence's medical relevance. Studies show that individuals with higher IQ scores tend to live longer, have lower rates of chronic diseases, and maintain better overall health habits. Cognitive epidemiology findings could improve people's health through targeted interventions based on intelligence levels or by identifying beneficial behaviors of high-intelligence individuals that others could adopt. For example, research has shown that higher-IQ individuals are more likely to exercise regularly, maintain healthy diets, and avoid smoking - behaviors that could be promoted across all cognitive levels. Second concerns the critical effect of aging on cognitive function. With Western societies shifting toward higher proportions of older people, we must urgently address the decline in fluid intelligence that occurs with age. Studies show that processing speed, working memory, and problem-solving abilities begin declining as early as our late 20s. Finding factors that preserve thinking skills into later life is increasingly urgent. Understanding how the brain deteriorates and the genetic makeup of intelligence will help us design targeted treatments and interventions, including for cognitive diseases like Alzheimer's. Recent research has identified promising interventions such as cognitive training programs, physical exercise routines, and dietary modifications that may help maintain cognitive function. Third is intelligence's increasing societal importance in our modern world. As we progress further into our technologized, computerized century, being bright becomes increasingly crucial for both personal and professional success. Jobs requiring higher cognitive abilities are growing faster than other sectors, while routine cognitive tasks are increasingly automated. Finding genuine ways to boost intellectual skills will help both society and individuals prosper in this evolving landscape. Additionally, organizations will always use ability tests for selection purposes - intelligence research can help create unbiased tests that select the most able people regardless of social class or other advantages. This includes developing culture-fair tests and identifying alternative measures of capability. Finally, there's the fundamental drive of scientific curiosity. Intelligence is central to what makes us human, and understanding what it is, how it's instantiated in brain and DNA, and its effects on people's lives is part of understanding our species. We all wonder why some people, even from similar backgrounds, are so much smarter than others, or what caused the genius of figures like Einstein, Curie, or Mozart. Modern neuroscience techniques, including brain imaging and genetic analysis, are providing unprecedented insights into these questions. The facts about intelligence don't justify unfairness or mean everyone is permanently stuck with the same ability to think and learn. Instead, they open fascinating questions: What causes general intelligence? Which specific genes make a person smarter? Why do simple tests relate to so many important life outcomes? What exactly happens in the brain during problem-solving? How can we make our minds work more efficiently? Recent advances in fields like neuroplasticity suggest that cognitive abilities remain somewhat malleable throughout life. Engaging with these questions represents the truly intelligent choice-to pursue knowledge even when it challenges our preconceptions and comfortable assumptions, while working to ensure this knowledge benefits all of society.

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『インテリジェンス――知能をめぐる６つの誤解』の主要テーマ

general intelligence factor
psychometric testing history
cognitive ability prediction
heritability of intelligence
socioeconomic impact of iq

『インテリジェンス――知能をめぐる６つの誤解』の名言

Empirical facts themselves carry no inherent moral implications.
Intelligence testing isn't just meaningful-it's predictive.
Understanding intelligence becomes not just academically interesting but practically essential.

『インテリジェンス――知能をめぐる６つの誤解』の登場人物

Stuart RitchieAuthor and psychologist specializing in IQ
Francis GaltonPioneer of psychometrics and inherited intelligence
Alfred BinetCreator of the first practical intelligence test
Charles SpearmanPsychologist who discovered the g-factor

著者について

『Intelligence: All That Matters』の著者であるスチュアート・ジェームズ・リッチー（Stuart James Ritchie）は、人間の知能に関する研究や科学における再現性の危機に関する研究で知られるスコットランドの心理学者、サイエンスコミュニケーターです。キングス・カレッジ・ロンドンの精神医学・心理学・神経科学研究所の講師を務めるリッチーは、学術的な厳密さと分かりやすい文章を融合させ、認知遺伝学や計量心理学といった複雑なトピックを解き明かしています。彼の仕事は心理学、神経科学、教育学の架け橋となり、知能検査とその社会的影響に関する誤解に挑んでいます。

リッチーは、科学的不正を暴き、2021年の王立協会科学図書賞の最終候補にも選ばれた絶賛作『Science Fictions』によって、その名声をさらに確固たるものにしました。彼は同名のSubstackニュースレターを運営し、研究の誠実さに関する問題の継続的な分析を提供しているほか、『Unsupervised Learning』ポッドキャストなどのメディアを通じて議論に定期的に寄稿しています。

彼の著書は、査読済みの研究を現実世界との関連性と結びつけて統合しており、一流の研究者から支持を得ているほか、専門的な主題を一般読者にとっても魅力的なものにしていると高く評価されています。『Science Fictions』は複数の言語に翻訳されており、科学改革に関する議論における世界的な影響力を反映しています。

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The IQ Enigma: How Much Does Intelligence Actually Matter? の書籍表紙

33 sources

The IQ Enigma: How Much Does Intelligence Actually Matter?

BeFreed

Irrationality

Stuart Sutherland

The psychology of intelligence

Jean Piaget

The neuroscience of intelligence

Richard J. Haier

The Intelligence Trap

David Robson

The Psychology of Stupidity

Jean-François Marmion

Rationality

Steven Pinker

Understanding Artificial Intelligence

Nicolas Sabouret

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"Makes me feel smarter every time before going to work"

@Cashflowbubu

BeFreedがウェブ上でどのように話題になっているかをもっと見る

コロンビア大学卒業生がサンフランシスコで開発

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"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

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@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

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@djmikemoore

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@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

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@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

"Instead of endless scrolling, I just hit play on BeFreed. It saves me so much time."

@Moemenn

"I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

@Chloe, Solo founder, LA

117

"Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

@Raaaaaachelw

"Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

@Matt, YC alum

108

"Reading used to feel like a chore. Now it’s just part of my lifestyle."

@Erin, Investment Banking Associate , NYC

254

"Feels effortless compared to reading. I’ve finished 6 books this month already."

@djmikemoore

"BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

@Pitiful

4.5K

"BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

@SofiaP

"BeFreed replaced my podcast queue. Imagine Spotify for books — that’s it. 🙌"

@Jaded_Falcon

201

"It is great for me to learn something from the book without reading it."

@OojasSalunke

"The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

@Leo, Law Student, UPenn

483

"Makes me feel smarter every time before going to work"

@Cashflowbubu

BeFreedがウェブ上でどのように話題になっているかをもっと見る

今すぐ学習の旅を始めよう

第3章

インテリジェンス――知能をめぐる６つの誤解

概要『インテリジェンス――知能をめぐる６つの誤解』の概要

1冊の本。さまざまな聴き方。

The Intelligence Enigma: Unlocking the Science Behind Our Most Human Attribute

The Evolution of Intelligence Testing: From Galton to Modern Neuroscience

聴きながら、すべての言葉を目で追えます

Inside Modern Intelligence Assessment: Beyond the IQ Score

The Real-World Impact of Intelligence: From Classrooms to Lifespans

『インテリジェンス――知能をめぐる６つの誤解』をもっと深く楽しむ

The Biological Foundations: Genes, Brains, and Evolution

Can Intelligence Be Improved? Separating Fact from Fiction

聴きながら、すべての言葉を目で追えます

The Controversy Surrounding Intelligence Research

Why Intelligence Research Matters: Beyond the Controversy

『インテリジェンス――知能をめぐる６つの誤解』を最後まで読み終えました

『インテリジェンス――知能をめぐる６つの誤解』の主要テーマ

『インテリジェンス――知能をめぐる６つの誤解』の名言

『インテリジェンス――知能をめぐる６つの誤解』の登場人物

著者について

インテリジェンス――知能をめぐる６つの誤解の要約をダウンロード

他のユーザーのお気に入り

この本に関するよくある質問

What is Intelligence: All That Matters about?

Who should read Intelligence: All That Matters?

Is Intelligence: All That Matters worth reading?

What definition of intelligence does Stuart Ritchie use?

もっと見る

1,000,000+ curious minds.

1,000,000+ curious minds.

1冊の本。さまざまな聴き方。

The Intelligence Enigma: Unlocking the Science Behind Our Most Human Attribute

The Evolution of Intelligence Testing: From Galton to Modern Neuroscience

聴きながら、すべての言葉を目で追えます

Inside Modern Intelligence Assessment: Beyond the IQ Score

The Real-World Impact of Intelligence: From Classrooms to Lifespans

『インテリジェンス――知能をめぐる６つの誤解』をもっと深く楽しむ

The Biological Foundations: Genes, Brains, and Evolution

Can Intelligence Be Improved? Separating Fact from Fiction

聴きながら、すべての言葉を目で追えます

The Controversy Surrounding Intelligence Research

Why Intelligence Research Matters: Beyond the Controversy

『インテリジェンス――知能をめぐる６つの誤解』を最後まで読み終えました

他のユーザーのお気に入り

もっと見る

『インテリジェンス――知能をめぐる６つの誤解』の概要