Nudge: Improving Decisions about Health, Wealth and Happiness , and: Thinking, Fast and Slow , and: Information and Exclusion (review)
Notice bibliographique
Résumé
Reviewed by: Nudge: Improving Decisions about Health, Wealth and Happiness, and: Thinking, Fast and Slow, and: Information and Exclusion Megan Lloyd Richardson Nudge: Improving Decisions about Health, Wealth and Happiness Richard H Thaler and Cass R Sunstein New Haven, CT: Yale University Press, 2008. Pp. 293. Thinking, Fast and Slow Daniel Kahneman Allen Lane, 2011. Pp. 499. Information and Exclusion Lior Jacob Strahilevitz New Haven, CT: Yale University Press, 2011. Pp. 255. Anyone interested in information should also be interested in how it is used. Therefore, the fact that several important books on decision making have emerged in recent years is a matter worth noting. One of these books, Richard Thaler and Cass Sunstein’s Nudge, is already a popular classic on behavioural economics. Daniel Kahneman’s serious and scholarly treatment of behavioural psychology in Thinking Fast and Slow and Lior Strahilevitz’s more upbeat Information and Exclusion have appeared more recently. While superficially these books deal with different questions – the first two delving into human psychology, the last more concerned with techniques of exclusion and their reliance on available information – their arguments are not unconnected, which is why it is useful to deal with them together. Indeed, the central thesis of Information and Exclusion that the law should respect the new information possibilities offered by the Internet has to be qualified by the behavioural insights of Nudge and Thinking Fast and Slow. And, in general, these insights challenge many of the assumptions made by those of us engaged in exploring the interactions of law with human behaviour. Of course, Sunstein is used to challenging familiar assumptions. In his earlier work, The Cost of Rights (Norton, 1999), Sunstein, together with Stephen Holmes, challenged the favourite conservative assumption that property and contractual rights promote the libertarian values of limited governance and individual freedom. As these authors pointed out, even rights over property and with respect to contracts serve to constrain as well as foster human freedom and require state resources to monitor and enforce. So they are not simply low-cost alternatives to governance but alternative forms of governance which come with their own costs as well as benefits. Now, in Nudge, Thaler and Sunstein go further in challenging the conservative economist’s assumption that normally individuals exercising the kinds of choices required by property and contract rights – as well as many of the other choices they may be required to make in life – will behave ‘rationally’ when it comes to making simple decisions about ends and means. Rather, these authors point out, there is plenty of evidence to show that human decisions are influenced by all [End Page 453] kinds of heuristics and biases, and this means that individuals cannot simply be left to exercise their property rights and enter into, abide by, and enforce their contracts. Some further levels of state involvement in decision making may be beneficial. The difficulty is how to effect that involvement without seriously undermining individual freedom. The solution that Thaler and Sunstein suggest for policy makers who want to tread a fine line between paternalism and libertarianism is to consider choice architecture as a science devoted to maximizing individual choice and well-being. Given that anchors and frames effectively set the parameters of decisions, default choices (they say) should be set to nudge decision makers toward decisions that policy makers think will best serve the decision makers’ interests, while still allowing individuals the freedom to deviate. Overconfidence and loss aversion that distort assessments of risk can be overcome by cooling-off periods and fuller explanations of risks and benefits, without precluding the decision completely. And social norms can be appealed to as a way of persuading individuals to decide in ways that serve their enlightened self-interest, while allowing a choice to those who prefer not to ‘follow the herd.’ In such ways, Thaler and Sunstein argue, individuals can be encouraged to make decisions which policy makers think are best for them without their decision-making process being taken over completely. Many of these persuasive techniques are familiar ones and, as those who observe them also know, it is easy to slip from encouraging decision makers to serve their interests to manipulating them to...
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,002 |
| Bibliométrie | 0,003 | 0,005 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,004 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».