Subjective and objective corruption of intuition and rational choice.

A societal shift has occurred toward making impactful decisions on the basis of objective metrics rather than subjective impressions. This shift is commonly justified by claims that we should not trust subjective intuitions. These are often unjust and thereby corrupt. However, the proxies used to make objective decisions are subject to a different form of corruption, characterized as proxy failure.

Electrophysiological and behavioral differences of general and food-specific inhibitory control in people with different levels of intuitive eating.

Intuitive eating influences health-related behaviors (including calorie and nutritional intake) that are modulated by inhibitory control, producing implications for physical, mental, and emotional health. However, little is known about the relationship between intuitive eating habits and inhibitory control. Therefore, we tested intuitive eating's influence on measures of general and food-related inhibitory control using behavioral and event-related potentials (N2 and P3 components). We included 40 healthy participants: 23 had a higher level of intuitive eating, and 17 had a lower level. They participated in food-specific go/no-go and general go/no-go tasks for which we recorded electroencephalogram data. As expected, in the food-specific go/no-go task, the P3 component amplitude in the lower intuitive eating group was significantly larger than in the higher intuitive eating group; there were no significant between-group differences in the N2 amplitudes or behavioral measures. Moreover, there were no ERP or behavioral difference between groups in the general go/no-go task. Further research is needed to understand the role of positive eating behaviors in food-specific inhibitory control.

Motivation to regulate eating behaviors, intuitive eating, and well-being: A dyadic study with mothers and adult daughters.

Intuitive eating, defined as relying on physiological cues to determine when, what, and how much to eat while maintaining a positive relationship with food (Tribole & Resch, 1995), has gained a lot of research attention in the last two decades. The present study sought to determine how motivation for regulating eating behaviors is related to intuitive eating and well-being outcomes in dyads of mothers and their adult daughters (n = 214). Structural equation modelling revealed that controlling for dieting and desire to lose weight, both mothers' and daughters' autonomous motivation was positively associated with their own intuitive eating while their controlled motivation was negatively associated with intuitive eating. In turn, intuitive eating was positively associated with well-being in both mothers and daughters. Interestingly, mothers' intuitive eating was also positively related to their daughters' well-being. The analysis of indirect effects suggests that mothers' motivation to regulate eating behaviors has an indirect (mediating) relationship with daughters' well-being through mothers' intuitive eating. The implications for women's health and well-being are discussed.

The Intuitive Eating Scale-3: Development and psychometric evaluation.

Intuitive eating has been found to protect against disordered eating and preserve well-being. Yet, there are methodological (length), conceptual (inconsideration of medical, value-based, and access-related reasons for food consumption), and psychometric (item wording) concerns with its most common measure, the Intuitive Eating Scale-2 (IES-2). To address these concerns, we developed the IES-3 and investigated its psychometric properties with U.S. community adults. Across three online studies, we evaluated the IES-3's factorial validity using exploratory factor analysis (EFA; Study 1; N = 957; Mage = 36.30), as well as confirmatory factor analysis (CFA), exploratory structural equation modeling (ESEM), bifactor-CFA, and bifactor-ESEM (Study 2; N = 1152; Mage = 40.95), and cross-validated the optimal model (Study 3; N = 884; Mage = 38.54). We examined measurement invariance across samples and time, differential item functioning (age, body mass index [BMI], gender), composite reliability, and validity. Study 1 revealed a 12-item, 4-factor structure (unconditional permission to eat, eating for physical reasons, reliance on hunger and satiety cues, body-food choice congruence). In Study 2, a bifactor-ESEM model with a global intuitive eating factor and four specific factors best fit the data, which was temporally stable across three weeks. This model also had good fit in Study 3 and, across Studies 2 and 3, and was fully invariant and lacked measurement bias in terms of age, gender, and BMI. Associations between latent IES-3 factors and age, gender, and BMI were invariant across Studies 2 and 3. Composite reliability and validity (relationships with disordered eating, embodiment, body image, well-being, and distress; negligible relationship with impression management) of the retained model were also supported. The 12-item IES-3 demonstrates strong psychometric properties in U.S. community adults. Research is now needed using the IES-3 in other cultural contexts and social identity groups.

Mind to move: Differences in running biomechanics between sensing and intuition shod runners.

Delving into the complexities of embodied cognition unveils the intertwined influence of mind, body, and environment. The connection of physical activity with cognition sparks a hypothesis linking motion and personality traits. Hence, this study explored whether personality traits could be linked to biomechanical variables characterizing running forms. To do so, 80 runners completed three randomized 50-m running-trials at 3.3, 4.2, and 5m/s during which their running biomechanics [ground contact time (tc), flight time (tf), duty factor (DF), step frequency (SF), leg stiffness (kleg), maximal vertical ground reaction force (Fmax), and maximal leg compression of the spring during stance (ΔL)] was evaluated. In addition, participants' personality traits were assessed through the Myers-Briggs Type Indicator (MBTI) test. The MBTI classifies personality traits into one of two possible categories along four axes: extraversion-introversion; sensing-intuition; thinking-feeling; and judging-perceiving. This exploratory study offers compelling evidence that personality traits, specifically sensing and intuition, are associated with distinct running biomechanics. Individuals classified as sensing demonstrated a more grounded running style characterized by prolonged tc, shorter tf, higher DF, and greater ΔL compared to intuition individuals (p≤0.02). Conversely, intuition runners exhibited a more dynamic and elastic running style with a shorter tc and higher kleg than their sensing counterparts (p≤0.02). Post-hoc tests revealed a significant difference in tc between intuition and sensing runners at all speeds (p≤0.02). According to the definition of each category provided by the MBTI, sensing individuals tend to focus on concrete facts and physical realities while intuition individuals emphasize abstract concepts and patterns of information. These results suggest that runners with sensing and intuition personality traits differ in their ability to use their lower limb structures as springs. Intuition runners appeared to rely more in the stretch-shortening cycle to energetically optimize their running style while sensing runners seemed to optimize running economy by promoting more forward progression than vertical oscillations. This study underscores the intriguing interplay between personality traits of individuals and their preferred movement patterns.

Euthanasia and End-of-Life Decisions: From the Empirical Turn to Moral Intuitionism.

Most medical learned societies have endorsed both "equivalence" between all forms of withholding or withdrawing treatment and the "discontinuity" between euthanasia and practices to withhold or withdraw treatment. While the latter are morally acceptable insofar as they consist in letting the patient die, the former constitutes an illegitimate act of actively interfering with a patient's life. The moral distinction between killing and letting die has been hotly debated both conceptually and empirically, most notably by experimental philosophers, with inconclusive results. This article employs a "revisionary" intuititionist perspective to discuss the results of a clinical ethics study about intensivists' perceptions of withhold or withdraw decisions. The results show that practitioners' moral experience is at odds with both the discontinuity and equivalence theses. This outcome allows us to revisit certain concepts, such as intention and causal relationship, that are prominent in the conceptual debate. Intensivists also regard end-of-life decisions as being on a scale from least to most active, and whether they regard active forms of end-of-life decisions as ethically acceptable depends on the overarching professional values they endorse: the patient's best chances of survival, or the patient's quality of life.

Diagnosis: What Is the Structure of Its Reasoning?

How does the diagnosis process work? This essay traces the philosophical underpinnings of diagnosis from Hume through Kant, Peirce, and Popper, analyzing how pathologists amalgamate sensibility, intuition, and imagination to form new hypotheses that can be tested by evidence and experience.

From Restriction to Intuition: Evaluating Intuitive Eating in a Sample of the General Population.

Intuitive eating (IE) is a non-dieting approach that promotes listening to internal cues of hunger and satiety, rather than adhering to external dietary restrictions aimed at weight loss. However, the role of IE in dieting behaviors related to weight-loss approaches is still unclear. To address this issue, the aim of this study was to compare IE levels between dieting and non-dieting individuals, exploring the relationship between IE and dieting-related psychological and physical factors. A sample of 2059 females was recruited via social media and self-reported questionnaires were administered to measure IE, eating psychopathology, self-efficacy, and quality of life. Individuals with a history of dieting exhibited lower IE levels, a higher BMI, and a greater eating psychopathology, as well as a reduced self-efficacy and quality of life, compared to non-dieters. IE showed a protective effect against dieting behaviors, with higher IE levels being associated with a lower likelihood of dieting. Additionally, higher BMI and eating psychopathology were predictors of dieting. Promoting IE could represent a relevant clinical target strategy to address disordered eating and enhance overall well-being, underscoring the need for interventions that foster a healthier relationship with food and bodily internal sensations.

Explaining the prospective paths from body appreciation to intuitive eating facets: Does body image flexibility serve as a mediator?

Initial evidence suggests that body appreciation prospectively predicts intuitive eating. However, the limited number of longitudinal studies focused solely on girls and women, with a lack of evaluation among men. Furthermore, the underlying mechanisms explaining this relationship remain poorly understood. The present study examined whether body appreciation prospectively predicted intuitive eating facets among women and men in Germany. We also tested whether adaptive affect regulation skills (i.e., body image flexibility) mediated these relationships. We analyzed data from 1436 women and 704 men across three time points: Baseline (T1), 6-month (T2), and 12-month (T3) follow-up, using latent variable path models to assess direct and indirect effects. Among women, T1 body appreciation directly predicted T3 body-food choice congruence. Additionally, body appreciation indirectly predicted unconditional permission to eat, eating for physical rather than emotional reasons, and reliance on hunger and satiety cues at T3 via its effect on T2 body image flexibility. Among men, T1 body appreciation indirectly predicted T3 eating for physical rather than emotional reasons via T2 body image flexibility. Our findings suggest that body image flexibility plays a pivotal role in explaining why individuals who appreciate their bodies are more likely to eat intuitively.

Predictivism and avoidance of ad hoc-ness: An empirical study.

Predictivism is the thesis that evidence successfully predicted by a scientific theory counts more (or ought to count more) in the confirmation of that theory than already known evidence would. One rationale that has been proposed for predictivism is that predictive success guards against ad hoc hypotheses. Despite the intuitive attraction of predictivism, there is historical evidence that speaks against it. As valuable as the historical evidence may be, however, it is largely indirect evidence for the epistemic attitudes of individual - albeit prominent - scientists. This paper presents the results of an empirical study of scientists' attitudes toward predictivism and ad hoc-ness (n = 492), which will put the debate on a more robust empirical footing. The paper also draws attention to a tension between the ad hoc-ness avoidance rationale of predictivism and the ways philosophers have spelled out the notion of ad hoc-ness.

Adults' learning of complex explanations violates their intuitions about optimal explanatory order.

Should you first teach about the purpose of a microwave or about how it heats food? Adults strongly prefer explanations to present function before mechanism and information about a whole to precede information about its component parts. Here we replicate those preferences (Study 1). Using the same stimuli, we then ask whether those pedagogical preferences reflect ease of learning of labels, function, or mechanism. Surprisingly, explanations that accord with function-before-mechanism and whole-before-part structure show no learning benefits to participants compared to other participants who see lessons that violate one or both intuitions (Study 2). Even when potential scaffolds are removed (i.e., diagrams) the preferred pedagogical order does not predict better learning (Study 3). Finally, explanatory order has only modest effects on experiential outcomes (e.g., curiosity, frustration; Study 4). In all cases, all orders of presentation support learning in comparison to controls and are not constrained by either ceiling or floor effects. Reasons for the clash between intuitions about learning and actual outcomes are explored.

Heuristic strategy of intuitive statistical inferences in 7- to 10-year-old children.

Intuitive statistical inferences refer to making inferences about uncertain events based on limited probabilistic information, which is crucial for both human and non-human species' survival and reproduction. Previous research found that 7- and 8-year-old children failed in intuitive statistical inference tasks after heuristic strategies had been controlled. However, few studies systematically explored children's heuristic strategies of intuitive statistical inferences and their potential numerical underpinnings. In the current research, Experiment 1 (N = 81) examined 7- to 10-year-olds' use of different types of heuristic strategies; results revealed that children relied more on focusing on the absolute number strategy. Experiment 2 (N = 99) and Experiment 3 (N = 94) added continuous-format stimuli to examine whether 7- and 8-year-olds could make genuine intuitive statistical inferences instead of heuristics. Results revealed that both 7- and 8-year-olds and 9- and 10-year-olds performed better in intuitive statistical inference tasks with continuous-format stimuli, even after focusing on the absolute number strategy had been controlled. The results across the three experiments preliminarily hinted that the ratio processing system might rely on the approximate number system. Future research could clarify what specific numerical processing mechanism may be used and how it might support children's statistical intuitions.

Intuition and we-ness in Bion and post-Bionian field theory.

"Intuition" is probably the most frequently used term in all Bion's writings. However, in order to understand its role in his thought it is essential to give it the clearest possible definition. The thesis of this article is that by intuition Bion means a "specific" psychoanalytic concept. It is thus possible to extract intuition from the vague and mystifying reading of it by some authors, whic runs the risk of falling into an empty "intuitionism". For Bion, intuition is a psychoanalytic function of the analyst, the principal factors of which are the various expressions of dream-thought and insight. Furthermore, within the frame of the post-Bionian theory of the analytic field, the author suggests adding to these factors the use of the "we" vertex (or we-ness), i.e. to regard virtually every fact of analysis as co-created. The aim is to make the very concept of "field" more accessible. Compared with the metaphor of the analytic field, the concept of we-ness has both greater clinical versatility and greater pregnancy on the metapsychological plane. Indeed, it more directly reflects a radically social conception of human subjectivity: what is known in contemporary speculative thought - in J-L. Nancy, for example - as the "ontology of we".

Psychometric network analysis of the Intuitive Eating Scale-2 in Chinese general adults.

The Intuitive Eating Scale-2 (IES-2) is a measure of intuitive eating behaviors that has been extensively validated, with traditional latent variable modeling approaches, in youth and adults from many different populations, including college students in China. However, there is still a lack of research on the psychometric properties of the IES-2 in adults from the Chinese general population. Moreover, psychometric network analysis, as a complement to traditional latent variable modeling approaches, has not been used for examining the psychometric properties of the IES-2. Thus, the present study used a psychometric network approach to evaluate the psychometric properties of the IES-2 in Chinese adults from the general population. A sample of 700 Chinese general adults (50% women; Mage = 31.13 years, SD = 9.19) recruited online were included in the present study. Psychometric network analysis was performed. Exploratory graph analysis (EGA) identified four dimensions, which were well separated in the estimated network. The network structure showed excellent stability and metric measurement invariance (i.e., network loadings) across men and women. Furthermore, several items on the IES-2 were identified as key nodes in the network of the IES-2 that may be important for the development and maintenance of intuitive eating. For example, two items (i.e., "I trust my body to tell me when to eat," and "I trust my body to tell me when to stop eating") related to reliance on body cues were the most impactful nodes in the complete network. The findings of our study provide a greater understanding of the IES-2 from the perspective of network analysis and have implications for applications of intuitive eating interventions for general populations.

When intuitive Bayesians need to be good readers: The problem-wording effect on Bayesian reasoning.

Are humans intuitive Bayesians? It depends. People seem to be Bayesians when updating probabilities from experience but not when acquiring probabilities from descriptions (i.e., Bayesian textbook problems). Decades of research on textbook problems have focused on how the format of the statistical information (e.g., the natural frequency effect) affects such reasoning. However, it pays much less attention to the wording of these problems. Mathematical problem-solving literature indicates that wording is critical for performance. Wording effects (the wording varied across the problems and manipulations) can also have far-reaching consequences. These may have confounded between-format comparisons and moderated within-format variability in prior research. Therefore, across seven experiments (N = 4909), we investigated the impact of the wording of medical screening problems and statistical formats on Bayesian reasoning in a general adult population. Participants generated more Bayesian answers with natural frequencies than with single-event probabilities, but only with the improved wording. The improved wording of the natural frequencies consistently led to more Bayesian answers than the natural frequencies with standard wording. The improved wording effect occurred mainly due to a more efficient description of the statistical information-cueing required mathematical operations, an unambiguous association of numbers with their reference class and verbal simplification. The wording effect extends the current theoretical explanations of Bayesian reasoning and bears methodological and practical implications. Ultimately, even intuitive Bayesians must be good readers when solving Bayesian textbook problems.

Denoising diffusion probabilistic models for generation of realistic fully-annotated microscopy image datasets.

Recent advances in computer vision have led to significant progress in the generation of realistic image data, with denoising diffusion probabilistic models proving to be a particularly effective method. In this study, we demonstrate that diffusion models can effectively generate fully-annotated microscopy image data sets through an unsupervised and intuitive approach, using rough sketches of desired structures as the starting point. The proposed pipeline helps to reduce the reliance on manual annotations when training deep learning-based segmentation approaches and enables the segmentation of diverse datasets without the need for human annotations. We demonstrate that segmentation models trained with a small set of synthetic image data reach accuracy levels comparable to those of generalist models trained with a large and diverse collection of manually annotated image data, thereby offering a streamlined and specialized application of segmentation models.

The deflationary model of harm and moral wrongdoing: A rejoinder to Royzman & Borislow.

With a series of studies, Royzman and Borislow (2022) purport to show that extant models about the conditions under which harmful actions are deemed morally wrong do not have explanatory power-for any proposed condition, various harmful actions meet the condition but are not deemed immoral. And they reach the following conclusion: judgments of moral wrongdoing in the context of harmful actions (or judgments of moral wrongdoing more generally) are not reducible to an explanatory template. However, they did not address the main claim of the deflationary model of harm and moral wrongdoing, which is that intuitions of injustice connect harmful actions to judgments of moral wrongdoing (Sousa & Piazza, 2014). Our first study adjusts Royzman and Borislow' design to include a measure of perceived injustice, while our second elaborates their design to manipulate perceived injustice. The results undermine their conclusion and support the deflationary model, which we further refine here in light of the results of Royzman and Borislow's studies and ours.

Downstream network transformations dissociate neural activity from causal functional contributions.

Neuroscientists rely on distributed spatio-temporal patterns of neural activity to understand how neural units contribute to cognitive functions and behavior. However, the extent to which neural activity reliably indicates a unit's causal contribution to the behavior is not well understood. To address this issue, we provide a systematic multi-site perturbation framework that captures time-varying causal contributions of elements to a collectively produced outcome. Applying our framework to intuitive toy examples and artificial neural networks revealed that recorded activity patterns of neural elements may not be generally informative of their causal contribution due to activity transformations within a network. Overall, our findings emphasize the limitations of inferring causal mechanisms from neural activities and offer a rigorous lesioning framework for elucidating causal neural contributions.

Numerical simulation and investigation of soliton solutions and chaotic behavior to a stochastic nonlinear Schrödinger model with a random potential.

The stochastic nonlinear Schrödinger model (SNLSM) in (1+1)-dimension with random potential is examined in this paper. The analysis of the evolution of nonlinear dispersive waves in a totally disordered medium depends heavily on the model under investigation. This study has three main objectives. Firstly, for the SNLSM, derive stochastic precise solutions by using the modified Sardar sub-equation technique. This technique is efficient and intuitive for solving such models, as shown by the generated solutions, which can be described as trigonometric, hyperbolic, bright, single and dark. Secondly, for obtaining numerical solutions to the SNLSM, the algorithms described here offer an accurate and efficient technique. Lastly, investigate the phase plane analysis of the perturbed and unperturbed dynamical system and the time series analysis of the governing model. The results show that the numerical and analytical techniques can be extended to solve other nonlinear partial differential equations in physics and engineering. The results of this study have a significant impact on how well we comprehend how solitons behave in physical systems. Additionally, they may serve as a foundation for the development of improved numerical techniques for handling challenging nonlinear partial differential equations.