The origin of pleasant sensations: insight from direct electrical brain stimulation

The origin of pleasant sensations: insight from direct electrical brain stimulation. Cécile Villard et al. Cortex, April 13 2023. https://doi.org/10.1016/j.cortex.2023.03.007

Abstract: Research into the neuroanatomical basis of emotions has resulted in a plethora of studies over the last twenty years. However, studies about positive emotions and pleasant sensations remain rare and their anatomical-functional bases are less understood than that of negative emotions. Pleasant sensations can be evoked by electrical brain stimulations (EBS) during stereotactic electroencephalography (SEEG) performed for pre-surgical exploration in patients with drug-resistant epilepsy. We conducted a retrospective analysis of 10 106 EBS performed in 329 patients implanted with SEEG in our epileptology department. We found that 13 EBS in 9 different patients evoked pleasant sensations (0.60% of all responses). By contrast we collected 111 emotional responses of negative valence (i.e., 5.13 % of all responses). EBS evoking pleasant sensations were applied at 50 Hz with an average intensity of 1.4 ± 0.55 mA (range 0.5−2 mA). Pleasant sensations were reported by nine patients of which three patients presented responses to several EBS. We found a male predominance among the patients reporting pleasant sensations and a prominent role of the right cerebral hemisphere. Results show the preponderant role of the dorsal anterior insula and amygdala in the occurrence of pleasant sensations.

Keywords:Brain stimulationPositive emotionstereoelectroencephalographyAmygdalaInsula

4. Discussion

To our knowledge, our study is the first to focus specifically on the generation of pleasant sensations, in the broad meaning of the term, from a large collection of EBS obtained during SEEG recordings (10 106 stimulations in 329 patients). We found that pleasant sensations were exceptional events during EBS, much rarer than negative sensations, as we observed only 13 positives sensations (0.55%, versus 5.13 % for negative feelings). This is possibly a particularity of the mammalian brain, which is more likely to generate negative emotions for rapid adaptive reactions favoring survival of species, e.g. when facing a danger(Phan et al., 2002). Another explanation lies in the largely subcortical and brainstem location of reward networks(Liu et al., 2011; Wise, 2002) when compared to the focus of EBS on cortical structures during SEEG for presurgical evaluation of epilepsy (see limitations).

4.1. Amygdala and anterior insula: two core regions for pleasant sensations

Our results identified two brain regions more frequently involved in pleasant sensations: the anterior insula (AI) and the amygdala. The AI is the source of heterogeneous clinical manifestations when it is involved in seizure or stimulated electrically as it can evoke gustatory, olfactory, auditory, somatosensitive, vestibular, viscerosensitive, visceromotor, experiential or emotional sensations(Mazzola et al., 2006, 2014, 2017, 2019). Functional neuroimaging highlighted the role played by the insula in the integration of information from our environment and the genesis of adapted emotions, showing the notable role of the AI(Kurth et al., 2010). Our data are congruent with previous EBS studies showing the involvement of AI in pleasant emotions and particularly ecstatic sensations (Bartolomei et al., 2019; Nencha et al., 2022a; Ostrowsky et al., 2000). Gschwind and Picard (2016), in a meta-analysis of ecstatic aura, defined ecstatic sensations as the association of "intense positive emotion (bliss)", "improved physical well-being", "increased self-awareness or increased perception of the external world (clarity)". According to a recent neurocognitive theory, the brain would operate on a prediction model (Clark, 2013), comparing real internal and external stimuli with reference theoretical patterns. The insula would be the key structure for processing the internal states of the body through interoceptive signals. Disruption of the predictive role of AI has been proposed as an explanation of the ecstatic auras(Picard et al., 2021). Recently a feeling of time dilation with a sense of pleasant eternity has been reported during AI stimulation (Sheikh et al., 2022).

The role of amygdala in generating negative emotions, especially fear, is well known both from animal and human studies(Davis & Whalen, 2001; LeDoux, 2003). However, the amygdala has also been involved in brain circuits related to happiness and pleasant sensations(Garavan et al., 2001; Hamann & Mao, 2002; Lanteaume et al., 2007; Sabatinelli et al., 2011). Animal studies showed that amygdala neurons respond to conditioning stimuli that have been associated with either appetitive or aversive outcomes (reviewed in Fernando et al., 2013). The activation of the amygdala in response to pleasant stimuli is suggested by human fMRI studies, notably when observing a pleasant image, face, word or scene(Garavan et al., 2001; Hamann & Mao, 2002; Sabatinelli et al., 2011), or during mental imagery of pleasant situations(Costa et al., 2010). On the other hand, only few publications reported pleasant sensations during EBS in the amygdala (see (Guillory & Bujarski, 2014) for review). Lanteaume et al. (2007) reported sensations of "joy" or "happiness" during left amygdala stimulation in a minority of patients, as most EBS resulted in negative sensations. This study quantified subjective responses using a basic emotion scale (Izard scale). A more recent study found that only one out of 150 amygdala stimulation resulted in a subjective feeling of joy (Inman et al., 2020).

Our study also shows that the anterior cingulate gyrus and the temporal pole may also contribute to pleasant sensations. These observations are consistent with some data from EBS of the temporal pole. Analyzing the semiological aspects of temporal pole stimulation, Ostrowsky et al. (2000) reported a sensation of happiness in 4 out of 150 temporal pole stimulation. Meletti et al. (2006) also described a pleasant and relaxing sensation during EBS in the temporal pole. Similarly, experiments involving recollection of positive autobiographical memories and positive emotions revealed the activation of hippocampus and temporo-polar regions(Markowitsch et al., 2003; Zotev et al., 2011)Concerning the anterior cingulate gyrus, in his work on the lateralization of affect, Smith et al. (2006a) described an euphoric sensation after its stimulation. Some functional imaging studies highlighted also the role of the anterior cingulate gyrus in the emotional mechanisms of happiness. Studies reported that when participants were asked to recall and attempt to re-experience and re-enact intense personal emotional episodes, there was an activation of the right insula, right somatosensory cortex, bilateral anterior cingulate cortex and right posterior cingulate cortex (Damasio et al., 2000; Suardi et al., 2016).

While our study highlights the predominant role in the conscious expression of positive affect of the AI and amygdala, these structures are likely embedded in a network of neural structures and probably do not act in isolation. There is evidence that direct high-frequency EBS activates a network of regions depending on the stimulation site and the effect produced(Bartolomei et al., 2019; Perrone-Bertolotti et al., 2020). As such, a recent study on a manic state induced by EBS of the right lateral prefrontal cortex demonstrated significant increase of functional coupling between the right hemispheric limbic nodes, the temporal pole and the claustrum(Scholly et al., 2022). There is evidence that the genesis of emotions requires the interaction between several brain networks, widely distributed, although none of them seems to be specific to the "emotion function” (Morawetz et al., 2020; Pessoa, 2018). Among these networks, the "salience network", which has been widely studied, would be involved in a larger scale network leading to the generation of emotions. The salience network involves, among others, connections between the anterior cingulate gyrus, the AI, the amygdala and the hypothalamus (Kober et al., 2008; Lindquist et al., 2016; Pessoa, 2018). The relative contribution of each of these regions in positive emotion networks remains to be determined.

A network of brain areas underpinning the experience of positive emotions and pleasant sensations could explain why, in two patients, stimulating different structures evoked the same sensations, with for patient P4, stimulation of the right amygdala and temporal pole evoking a feeling of well-being and for patient P8, stimulation of the right amygdala and AI evoking a feeling of well-being and positive emotion. The dense bidirectional connections between the anterior ventral part of the insula and the amygdala(Jakab et al., 2012; Mesulam & Mufson, 1982) and between the AI and the anterior cingulate gyrus (Ghaziri et al., 2017) can account for similar sensations evoked by EBS in distant areas within the same functional network.

4.2. Effect of hemispheric laterality and sex

Our study revealed a right-sided predominance of pleasant sensations. A right-side predominance of negative emotional valence induction for right side stimulations has been reported in previous EBS studies (review in (Guillory & Bujarski, 2014)). A left lateralization of positive emotion during amygdala stimulation has been previously suggested (Lanteaume et al., 2007). This apparent contradiction could be linked to the underrepresentation in the previous studies of the anterior insula stimulation which is the prominent site in our experience for pleasant evoked sensations. Smith et al. (2006b) also reported dysphoric responses primarily during right stimulation, but no lateralization for pleasant emotional responses. No clear lateralization effect was found as a function of emotional valence in amygdala activation in a large neuroimaging meta-analysis(Baas et al., 2004).

There was a predominance of pleasant sensations in men in our study. No previous study using EBS has reported such a predominance of positive emotions, which could be related to the small number of patients in most EBS studies when compared to the large sample investigated here. However, regarding negative emotions Meletti et al. (2006) reported that the feeling of fear occurred significantly more in women than in men.

Data in the literature on gender differences in emotion are often inconsistent (Brody & Hall, 2000; Wester et al., 2002). There is evidence, primarily from self-report data, that women experience emotions with greater intensity than men(Whittle et al., 2011). Women have been found to be more reactive to emotional stimuli, and particularly to unpleasant, threatening, or traumatic stimuli. Research has also suggested that gender differences in self-report are greater for negative emotions such as fear and jealousy, and some neuroimaging studies support greater brain activation in women for negative stimuli (review in (Whittle et al., 2011)). There is also evidence that males may be physiologically more reactive to certain pleasurable stimuli, particularly erotic ones (Allen et al., 2007). A study reported that males exhibited greater activity than females in the frontal lobe and amygdala during exposure to photo stimuli with positive valence (Wrase et al., 2003).

Further studies are needed to better define the effects of these two factors in the genesis of pleasant sensations.

4.3. Limitations of the study

The first limitation of our study is its retrospective nature. Responses were systematically collected, but subjective reports may not have been exhaustive. Patients may have described their symptoms in a simplified way because of difficulties in expressing their feelings (Cirignotta et al., 1980). Moreover, how to perceive and express these sensations may depend on education, culture, information given to the patients, context of occurrence, the patients ability to introspection, their vocabulary and therefore vary between patients but also within the same patient (Williams, 1956). To overcome these difficulties, quantification by self-administered questionnaires (Lanteaume et al., 2007) is interesting but was not carried out in the majority of patients in the study. Prospective studies using standardized questionnaires will be particularly useful, especially if coupled with objective measures of the autonomic response, such as the electrodermal response(Inman et al., 2020; Lanteaume et al., 2007).

The second limitation is related to the spatial sampling of SEEG as it has been estimated that about 10,000 electrode contacts would be necessary to explore the brain volume covered by functional MRI(Lachaux et al., 2003). This limitation is partially counterbalanced by the large cohort of patients included and the large number of EBS considered in our analysis (the highest in the literature to date) that allow a large spatial sampling. In addition, the included patients cover a large temporal period with variations in the number of implanted electrodes and implanted sites. Insular implantations with orthogonal and especially oblique electrodes became more common from 2010 in our center. We can also note that, for feasibility and safety reasons, some regions cannot be explored, in particular the brainstem whose role in emotional processing is important (Venkatraman et al., 2017).

Third, SEEG was performed in patients with epilepsy, and seven of them reported positive sensations belonging to the subjective symptoms of their usual seizures. Moreover, the stimulated sites were part of the epileptogenic zone in 8 out of 13 cases. Indeed, the organization of brain networks and the excitability of the brain of patients with epilepsy may be different from a non-epileptic subject. Nevertheless, direct brain stimulation in the history of neuroscience has allowed progress in the knowledge of the role of certain regions in subjective phenomena generated by the human brain, such as psychosensory or emotional phenomena (reviewed (Trébuchon & Chauvel, 2016). Moreover, these phenomena can be obtained outside the usual clinical semiology of the patients (patients P1 and P7 in the present study) (Nencha et al., 2022b).

The presumption of innocence, the prohibition against pretrial punishment, and the right to an impartial jury—constitutional bedrocks of the American criminal justice process—are potentially threatened by the practice of “perp walks”

Punishment before trial: public opinion, perp walks, and compensatory justice in the United States.Shanna R. Van Slyke, Leslie A. Corbo & Michael L. Benson. Crime, Law and Social Change volume 79, pages437–452. Nov 17 2022. https://link.springer.com/article/10.1007/s10611-022-10062-x

Abstract: The presumption of innocence, the prohibition against pretrial punishment, and the right to an impartial jury—constitutional bedrocks of the American criminal justice process—are potentially threatened by the practice of “perp walks.” Justice officials, politicians, and the news media have cited public demand as one justification for this controversial practice. Yet, this justification lacks an empirical basis. Drawing from work on procedural fairness, the present study suggests compensatory justice as a framework for understanding why some American citizens might support perp walks. We extend research on public attitudes towards perp walks with data from an internet survey of 1000 U.S. adults. We find that perp walks are not supported by a majority of the public and that attitudes towards perp walks are influenced by perceptions of the pros and cons of perp walks as well as of the legitimacy of the justice system.

Body odour disgust sensitivity is associated with xenophobia: evidence from nine countries across five continents

Body odour disgust sensitivity is associated with xenophobia: evidence from nine countries across five continents.Marta Z. Zakrzewska et al. Royal Society Open Science, April 12 2023. https://doi.org/10.1098/rsos.221407

Abstract: Body odour disgust sensitivity (BODS) reflects a behavioural disposition to avoid pathogens, and it may also involve social attitudes. Among participants in the USA, high levels of BODS were associated with stronger xenophobia towards a fictitious refugee group. To test the generalizability of this finding, we analysed data from nine countries across five continents (N = 6836). Using structural equation modelling, we found support for our pre-registered hypotheses: higher BODS levels were associated with more xenophobic attitudes; this relationship was partially explained by perceived dissimilarities of the refugees' norms regarding hygiene and food preparation, and general attitudes toward immigration. Our results support a theoretical notion of how pathogen avoidance is associated with social attitudes: ‘traditional norms’ often involve behaviours that limit inter-group contact, social mobility and situations that might lead to pathogen exposure. Our results also indicate that the positive relationship between BODS and xenophobia is robust across cultures.

4. Discussion

Understanding the link between disease detection/avoidance and xenophobia is critical for understanding the psychology of inter-group processes. Here, we focus on BODS, a potent sensory disease avoidance function, and how it is associated with xenophobic attitudes. Specifically, the present research used a large sample and a pre-registered set of hypotheses to extend previous findings of a positive relationship between BODS and explicit xenophobia [16] across countries and continents. Of particular interest was to understand whether or not body odour disgust is linked to negative attitudes to refugees because of the perceived dissimilarity of the refugees. We found that this was the case, and that our findings generalized well across most countries.

Most importantly, we show that how strongly people report to be disgusted by body odours is related to negative attitudes towards a fictitious refugee group (i.e. effect of BODS on xenophobia) and our overall effect size was very similar to previous findings in participants from the USA [16]. In the current study, data were analysed from nine culturally different and large samples in Africa, North America, South America, Europe, Asia and Oceania. The observed result was partially explained by how respondents perceived the refugee group as different in terms of food, hygiene and sanitary practices, and general attitudes towards immigration. This is in line with the disease avoidance theory that aims to explain suggesting that social behaviours and attitudes are connected to avoiding pathogens. Importantly, our results indicate that the relationship between BODS and xenophobia generalizes across populations, and can be partially explained by perceived outgroup norms. Our results thus provide support for the traditional norms account [2,4,19]. Hence, rather than geographical or genetic difference, perceived similarity in food preparation practices seems to be a driver of xenophobic attitudes, and it partially mediates the relationship between other key elements of disease avoidance (i.e. BODS) and xenophobia.

We extended previous findings by comparing attitudes towards the unfamiliar fictitious group from EA to attitudes towards a potentially more similar (at least for western cultures) fictitious outgroup coming from EE. Indeed, the EA Drashneans were consistently rated by most respondents as more dissimilar compared with the EE Drashneans; with the exception of Kenya, which is located in Eastern Africa. This manipulation potentially allows for better causal inferences, even if it worked on the intermediate variable only (perceived dissimilarity) and not the outcome (xenophobia); the difference in perception did not translate to higher levels of xenophobia for the EA Drashneans. This result is at odds with our hypothesis as we expected that the unfamiliar group would be both perceived as more different and elicit more negative attitudes (hypothesis 8 in Secondary hypotheses). However, even though EA Drashneans were perceived as more dissimilar, both groups were generally rated as being quite dissimilar, which might explain the lack of differences in the attitudes towards the two groups. Hence, while perceived group similarity is important in understanding the link between BODS and social attitudes, understanding the underlying mechanisms by which dissimilarity operates in these processes needs further exploration.

One limitation of the current study is that it is cross-sectional, comparing attitudes of individuals at one point in time. Exploring changing attitudes in a longitudinal perspective would add important knowledge on how the disgust/xenophobia relation evolves. As with most behavioural research, our study is also vulnerable to sample bias. For example, our study might have over-sampled from the more educated portions within the populations of reference. This might have an impact on the overall levels of xenophobia, since education typically is associated with lower levels of prejudice [35]. Similarily, our sample might be selective in terms of personality factors (e.g. openness to experience), which are also known to relate to prejudice (e.g. [36,37]). However, given the strengths of our study (e.g. the size and demographic stratification of the sample) in combination with the fact that results generalized well across nine countries, we are confident in the generalizability of our findings in a global context.

Our study points to several new lines of investigations relevant for future research in the field. Although explored only superficially in this study, there seems to be certain variability in the strength of the relationship between BODS and social attitudes. The effect was largest in Canada, and several other Western, English-speaking countries, but it was absent in Kenya—one East African country in our study. Such variability is not unexpected, as recent multi-country studies show variation even in highly robust findings [38]. It would be interesting to see if this variability is related to specific geographical, cultural or pandemic-related factors. Given the heterogeneity of our surveyed countries, however, such enquiries are outside the scope of the present study. An interesting topic to explore more with regard to pathogens and social interactions would be to see how disease avoidance affects other, less explored senses such as taste and touch. In fact, a recent study suggests that disease history might be related to affective touch diversity towards a close one [39]. Another important area of future research pertains to how individual differences related to disease avoidance mechanisms translate into behaviours during heightened risk of contamination, such as the COVID-19 pandemics. For example, it is unclear whether the COVID-19 pandemic has increased general levels of xenophobia [40]. However, what the current study shows is that the relationship between levels of BODS and xenophobia is similar to relations observed in an earlier, pre-pandemic study. This could suggest that a salient pathogen threat does not necessarily dramatically affect relations between disgust and attitudes towards fictitious outgroups of varying similarity.

The positive correlation between contradictory conspiracy beliefs mostly reflects that disbelieving one conspiracy theory predicts an increased likelihood of disbelieving a contradictory one

Just Dead, Not Alive: Reconsidering Belief in Contradictory Conspiracy Theories. Jan-Willem van Prooijen et al. Psychological Science, April 11, 2023. https://doi.org/10.1177/09567976231158570

Abstract: A well-established finding is that beliefs in contradictory conspiracy theories (e.g., Princess Diana was murdered vs. faked her own death) are positively correlated. This is commonly interpreted as evidence that people systematically believe blatant inconsistencies. Here, we propose that the field has insufficiently acknowledged a compelling alternative explanation: Disbelieving both conspiracy theories also yields a positive correlation. In four preregistered studies (total N = 7,641 adults), online participants evaluated 28 sets of contradictory conspiracy theories. Although the positive correlation was replicated in all cases, this was mostly due to participants who believed the official versions of these events (e.g., Princess Diana died in a car accident). Among participants who disbelieved these official stories, the correlation was inconsistent at best. A mini meta-analysis revealed a negative correlation among these participants, which was particularly due to the dead-or-alive cases. Apparently, researchers should reconsider the notion of systematic belief in contradictory conspiracy theories.

General Discussion

The results of four preregistered studies in three countries, along with a meta-analysis, yielded the following conclusions. First, beliefs in contradictory conspiracy theories are positively correlated, replicating the basic finding of Wood and colleagues (2012). Second, this correlation is mostly attributable to the participants in the sample who believe the official version of events (Studies 1–4) and to a lesser extent those who feel unsure what happened (Study 2). Among participants who disbelieve the official version of events, the positive correlation emerges sporadically but inconsistently. In a meta-analysis, the correlation among these participants was negative, particularly for dead-or-alive cases. Altogether, the positive correlation between contradictory conspiracy beliefs mostly reflects that disbelieving one conspiracy theory predicts an increased likelihood of disbelieving a contradictory one.

Some of the correlations among participants who disbelieved the official version of these events were underpowered (e.g., the Osama bin Laden case; Studies 3 and 4); moreover, some of the conspiracy theories yielded very low levels of belief (e.g., the theory that Princess Diana faked her own death; Studies 1 and 4). Note that both of these issues speak against (and not in favor of) systematic belief in contradictory conspiracy theories. An underpowered correlation implies that only a small proportion of the sample disbelieved the official version of a particular case to begin with (Imhoff et al., 2022; Sutton & Douglas, 2022). Likewise, extremely low levels of belief on one of the items implies that few participants actually believe both contradictory conspiracy theories. And yet a positive overall correlation between contradictory conspiracy theories consistently emerged.

The current findings are limited to the populations and specific conspiracy theories investigated here, and future research may expand to different cultures and contradictory conspiracy theories. Moreover, our findings do not imply that people who believe contradictory conspiracy theories do not exist (see also Lukic et al., 2019; Miller, 2020; Petrović & Žeželj, 2022). Our data also contained participants who believed contradictory conspiracy theories, as well as other inconsistencies (i.e., believed the official version plus a conspiracy theory), although in low proportions (see Tables S1–S4 in the Supplemental Material). Instead, our findings suggest that researchers have overestimated the predictability and prevalence of such inconsistencies in a conspiratorial mindset.

This insight raises important new questions. For instance, to what extent is the correlation between conspiracy beliefs that are not mutually incompatible (often seen as reflecting a conspiratorial mindset) actually due to people who disbelieve both conspiracy theories? It is quite plausible that, among conspiracy theorists, the strength of this association is weaker than commonly assumed. More generally, the current studies underscore the methodological point that taking correlations at face value—without carefully examining underlying response distributions—can yield misguided conclusions.

This research domain hence should reconsider the notion of systematic belief in contradictory conspiracy theories. Certainly, many conspiracy theories are epistemically irrational in that they are based on weak evidence, pseudoscience, motivated reasoning, and unreliable sources. Moreover, most conspiracy theories do more harm than good for society (e.g., Douglas et al., 2019; Jolley & Douglas, 2014; Jolley et al., 2019; van der Linden, 2015; van Prooijen et al., 2022). That does not mean, however, that believing a person was murdered increases the likelihood of believing that same person faked their own death. It is time for the research field of conspiracy theories to accept the obvious: When people believe a person is dead, they are not more likely to believe that same person is still alive.

Feeling younger than one really is only makes one happier up to a certain threshold: Among 40-year old adults the greatest life satisfaction was reported when they felt about 18 years old

Blöchl, Maria, Steffen Nestler, and David Weiss. 2020. “A Limit of the Subjective Age Bias: Feeling Younger to a Certain Degree, but No More, Is Beneficial for Life Satisfaction.” PsyArXiv. January 22. doi:10.31234/osf.io/pfxqh

Abstract: The majority of adults feels considerably younger than their chronological age. Numerous studies suggest that maintaining a younger subjective age is linked to greater life satisfaction. However, whether there is a limit beyond which feeling younger becomes detrimental is not well understood. Here, we use response surface analysis to examine the relationships between subjective age, chronological age, and life satisfaction in in a large sample spanning adulthood (N= 7,356; 36 –89 years). We find that there is a limit to feeling younger: People who feel younger by a certain amount, but not more, have the highest levels of life satisfaction. In addition, our findings suggest that the discrepancy between subjective and chronological age at which life satisfaction is highest increases across the adult age span. Taken together, these findings reveal that beyond a certain point, feeling younger than one’s chronological age may be psychologically harmful.

News consumption from both traditional and social media increases exposure to fake news stories, which further decreases people’s trust in the mainstream media

Antecedents and consequences of fake news exposure: a two-panel study on how news use and different indicators of fake news exposure affect media trust. Sangwon Lee, Homero Gil de Zúñiga, Kevin Munger. Human Communication Research, April 8 2023, hqad019, https://doi.org/10.1093/hcr/hqad019

Abstract: Despite abundant studies on “fake news,” the long-term consequences have been less explored. In this context, this study examines the dynamic relationship between traditional and social news media use, fake news exposure—measured as perceived fake news exposure and exposure to actual fake news stories, and mainstream media trust. We found interesting patterns across two U.S. panel survey studies. First, we found that exposure to fake news—regardless of how we measured it—decreased people’s trust in the mainstream media. Yet, we also found that while both social media and traditional news use were positively associated with exposure to actual fake news stories, only social media news use was positively associated with perceived fake news exposure. This finding implies that while many people believe that social media is the culprit of fake news exposure, traditional news use may also contribute to people’s exposure to popular fake news stories.

The gender gap in aspirations for tech jobs is considerably larger in high schools serving the Jewish majority than in those serving the Arab/Palestinian minority

The gendering of tech selves: Aspirations for computing jobs among Jewish and Arab/Palestinian adolescents in Israel. Jason Budge et al. Technology in Society, April 8 2023, 102245. https://doi.org/10.1016/j.techsoc.2023.102245

Abstract: This study uses original survey data to compare aspirations for computing jobs (“tech aspirations”) between students in Arabic- and Hebrew-language school sectors in Israel. Analogous to “paradoxical” patterns previously documented in cross-national studies, results show a smaller gender gap in tech aspirations in schools serving the Arab/Palestinian minority population. The strongest predictor of tech aspirations is students’ personal identification with computing workers, but this “tech identity” cannot account for sectoral differences in the aspirations gender gap because it is stronger for boys than girls in both sectors. Although mathematics affinity and academic instrumentalism are both greater in the Arabic-language school sector, these social-psychological variables also have limited power to explain sectoral differences in tech aspirations. The belief that computer science is for boys, by contrast, positively affects tech aspirations of Jewish but not Palestinian boys, suggesting that variability in the tech gender gap may partly reflect group-specific effects of gender stereotyping. Results underscore the importance of an intersectional approach for understanding the social-psychological drivers of STEM aspirations and how they vary across social groups.

Keywords: GenderComputingSTEMEducationIsrael

7. Conclusion

The main purpose of this study is to interrogate the social-psychological drivers of contextual variability in the gendering of tech fields. Building on cross-national analyses that have compared countries with different levels of gender liberalism (Stoet and Geary 2018) and differently gendered STEM orientations [19], we use original survey data to compare the gendering of STEM aspirations across ethno-religiously distinct school sectors within a single national educational system. We are thereby able to hold constant differences across countries and educational systems that often confound cross-national studies.

Results show that the gender gap in Israeli ninth-graders’ aspirations for jobs in computing and information technology (“tech”) is considerably larger in high schools serving the Jewish majority than in those serving the Arab/Palestinian minority. This finding evokes parallels with cross-national analyses showing smaller STEM gender gaps in less affluent societies [6,8] and within-country studies showing smaller STEM gender gaps in colleges with smaller percentages of white students in the United States [56].

Not surprisingly, the strongest overall predictor of Israeli adolescents’ aspirations for a career in computing is identification with tech workers (“tech identity”). Students who reported feeling similar to computer programmers were more than nine times more likely to report aspiring to a tech job than students who did not. Although causation undoubtedly runs in both directions, this strong association between supports arguments that a sense of belonging, or “fitting in,” is crucial to recruitment and retention of women and other underrepresented groups in STEM fields [20,38,39,57].

Variation in tech identity cannot explain contextual differences in the STEM gender gap, however. This is because girls in both Arab/Palestinian and Jewish school sectors are less likely than boys to identify with tech workers, and because effects of tech identity on aspirations do not vary by gender or sector. Affinity for mathematics and academic instrumentalism are also unable to account for contextual differences in the tech-aspirations gender gap, although both traits are stronger among Palestinian than Jewish students.

The only social-psychological indicator with some power to explain the observed cross-sectoral variability is tech gender stereotyping. Although the belief that computer science is “for boys” shows no significant association with students’ tech aspirations overall, it does have group-specific effects that emerge when the relationship is allowed to vary interactively with gender and school sector. Specifically, we find that believing in the masculine nature of computer science increases tech aspirations of Jewish but not Arab/Palestinian boys. This relationship requires further investigation. As suggested above, it may be attributable to the cultural association of computer science with Jewish military service and to the better tech career opportunities open to Jewish men. More generally, we would suggest that the male-labeling of Israeli tech fields reflects a hegemonic masculinity that is specifically Jewish and therefore less personally salient to Arab/Palestinian students. This underscores the importance of an intersectional approach for understanding the social-psychological drivers of STEM aspirations, and the multiple masculinities (and femininities) that may shape the gendering of these fields across contexts [58,59].

Results support arguments that exposure to different sociocultural environments during the formative adolescent years is likely to influence high school students’ career aspirations. The different gendering of student aspirations and course-taking that results from different school exposures constitutes the school environment that shapes attitudes, aspirations, and abilities of subsequent student cohorts. In other words, the social psychological variables considered here constitute both inputs and outcomes in school-to-student feedback loops that produce distinct institutional gender regimes. Of course, Jewish and Palestinian students bring to school many preexisting beliefs about gender and about tech. Future research, ideally in-depth interviews and participant observation, should explore the interplay of tech gender cultures in schools, families, and the broader Jewish and Arab/Palestinian communities. Contextual variability in the linkage between career aspirations and career outcomes warrants further research as well. While previous U.S.-based research indicates that aspirations are generally highly predictive of occupational outcomes [60], the strength of this relationship likely varies across social groups with different access to public child-care resources, higher education, and employment opportunities.

The uneven gendering of STEM fields revealed here and elsewhere suggests that gender segregation is more complex and multifaceted than is typically represented by unidimensional modernization accounts. While it is by now well established that women's representation in tech does not increase with economic development, more research is needed to isolate the macro-level forces driving contextual variability in this and other forms of gender inequality. Previous comparative research on the STEM gender gap suggests possible causal effects of socioeconomic precarity (versus material security), individualist (versus collectivist) cultural values, and institutional differences in school tracking policies (Mann et al., 2015; [23,47].

Understanding the sociocultural factors that reduce STEM access of women and other historically marginalized populations is not only important for advancing basic social justice and equity. Research shows that diversifying scientific and technical fields can promote national prosperity, productivity, innovation, and the development of more broadly accessible and democratic technology (Page 2017; [61,62].

The Unpredictability of Individual-level Longevity: Fitting 8 machine learning algorithms using 35 sociodemographic predictors to generate individual-level predictions of age of death

Breen, Casey, and Nathan Seltzer. 2023. “The Unpredictability of Individual-level Longevity.” SocArXiv. April 8. doi:10.31235/osf.io/znsqg

Abstract: How accurately can age of death be predicted using basic sociodemographic characteristics? We test this question using a large-scale administrative dataset combining the complete count 1940 Census with Social Security death records. We fit eight machine learning algorithms using 35 sociodemographic predictors to generate individual-level predictions of age of death for birth cohorts born at the beginning of the 20th century. We find that none of these algorithms are able to explain more than 1.5% of the variation in age of death. Our results suggest mortality is inherently unpredictable and underscore the challenges of using algorithms to predict major life outcomes.

The ideal qualities that people wanted in a partner remained fairly stable over the long term, but the importance of status and resources increased over time

Stability and Change of Individual Differences in Ideal Partner Preferences Over 13 Years. Julie C. Driebe et al. Personality and Social Psychology Bulletin, April 8, 2023. https://doi.org/10.1177/01461672231164757

Abstract: Ideal partner preferences for traits in a partner are said to be stable cognitive constructs. However, longitudinal studies investigating the same participants’ ideals repeatedly have so far been limited to relatively short retest intervals of a maximum of 3 years. Here, we investigate the stability and change of ideals across 13 years and participants’ insight into how ideals have changed. A total of 204 participants (M = 46.2 years, SD = 7.4, 104 women) reported their ideals at two time points. We found a mean rank-order stability of r = .42 and an overall profile stability of r = .73 (distinctive r = .53). Some ideals changed over time, for example, increased for status-resources in relation to age and parenthood. We found some but varying insight into how ideals had changed (mean r = .20). Results support the idea of ideals being stable cognitive constructs but suggest some variability related to the demands of different life stages.

Discussion

In this study, employing unique longitudinal data across 13 years, we investigated stability (i.e., retest and profile correlations) and change (i.e., mean-level changes) of ideal partner preferences, and whether individuals possess insight into how their preferences have changed (i.e., correlations of perceived changes with actual changes).

Stability and Change in Ideal Partner Preferences

Regarding our first hypothesis (H1), our results suggested considerable overall stability of participants’ ideals of r = .42, corresponding to a medium-sized to large effect (Cohen, 2013; Gignac & Szodorai, 2016). This stability is smaller than coefficients obtained after 5 months (Gerlach et al., 2019) yet roughly comparable to coefficients found after 3 years (Bleske-Rechek & Ryan, 2015). These results are in a range that has previously been reported for the rank-order stability of personality traits (around r = .60 for a retest interval of 6.7 years, Roberts & DelVecchio, 2000; r = .33 for an interval of 11 years in a more diverse sample, Atherton et al., 2022). However, when compared with a meta-analysis by Anusic and Schimmack (2016), our results are comparable with the retest correlation of affect and self-esteem found after 13 years in a group of 30-year-olds but smaller compared to the retest correlation of broad personality dimensions after 13 years in a group of 30-year-olds. Our results, together with the stability coefficients reported for partner preferences across shorter intervals (e.g., (Fletcher et al., 1999, 2000; Gerlach et al., 2019; Shackelford et al., 2005), are in line with the finding that the strongest declines in stability coefficients are found in the first years after assessment (Anusic & Schimmack, 2016; Costa et al., 2019). The fact that our retest correlations do not further decrease even over such a long timespan suggests that individual differences in ideal partner preferences contain a sizable trait component (Anusic & Schimmack, 2016). However, this stability seems to be more comparable to constructs such as self-esteem (as opposed to broader personality domains), which has been shown to be more susceptible to external influences.

Nonetheless, investigating participants’ profiles revealed that patterns of which traits individuals preferred more or less were surprisingly stable, with overall profile correlations exceeding r = .70. These profile stabilities were only slightly reduced when accounting for normative components (e.g., most people value warmth-trustworthiness more than status-resources) by employing distinct profile correlations. We take this high temporal consistency to suggest that—while individual dimensions may well be affected by external influences, resulting in only moderate stability—idiosyncratic patterns in what people value in a romantic partner may be a very stable individual difference characteristic, even when effects of what is normatively more versus less preferred are taken into account.

We then examined the relationship between parenthood and the stability of preferences. As put forward in hypothesis four (H4), we found that the stability of preferences for status-resources was lower in participants who became parents over the 13-year study period or who had intentions to become a parent at the time of the re-assessment, compared with participants without (the intention to have) children. We assumed that these shifts in partner preferences could be related to shifting priorities and efforts according to different life stages (cf. Del Giudice et al., 2016; Heckhausen et al., 2010, 2019), with parenthood potentially being of particular importance. As having a partner who is able to provide resources facilitates founding a family and raising children, (the decision to) becoming a parent may alter one’s preference for status-resources, explaining the lower stability. Yet, parenthood was also related to the stability of other preference dimensions, suggesting that the decision to become a parent has the potential to shake up how we picture our ideal partner more generally.

We also investigated mean-level changes in ideal partner preferences. In line with our second hypothesis (H2), participants placed higher importance on status-resources over time and this increasing preference was stronger for younger participants. Furthermore, although effects were small (Cohen’s d < 0.20), participants placed more importance on warmth-trustworthiness and less on vitality-attractiveness over time. Our third prediction (H3), an increase in family-orientation, was only partly supported: Over time, the preference for family-orientation only increased for younger individuals, yet compared with older participants, younger individuals already reported a higher preference for family-orientation at the initial assessment. Further exploration revealed that participants without children generally placed less importance on family-orientation, whereas the preference for family-orientation increased over time for those with children. While this might be a mere cohort effect, this finding could also be interpreted in light of age-graded opportunity structures and/or developmental deadlines (Wrosch & Heckhausen, 2005). For example, younger participants might picture themselves as likely to begin a family in the future, whereas older participants had already begun to ponder a possible life without children because they already considered themselves to be beyond the ideal age for having children, were pessimistic about finding a suitable partner for such an endeavor, or had already come to cherish a “childfree” lifestyle. Exploring mean-level changes in relation to the number of relationships participants had entered revealed that participants who entered more than one relationship over time reported an increased preference for warmth-trustworthiness and status-resources, whereas participants who entered only one relationship over time showed no significant increase in these preference dimensions. For the dimension status-resources, this may be due to having limited statistical power in these analyses, as participants who entered only one relationship descriptively showed an increased preference for status-resources. It can also be speculated that participants who entered more than one committed relationship after going through one or more break-ups may have realized that having a warm and trustworthy partner may be most vital for a relationship to last. Participants who entered only one committed relationship, however, may not have seen the necessity to update their preferences on this dimension.

In our study, we found considerable stability of preferences over 13 years. As such, our findings cannot explain the mixed findings in previous research on the link between preferences and relationship decisions. An alternative explanation for those mixed findings may be the relationship phase investigated (see Campbell & Stanton, 2014; Gerlach et al., 2019): studies that could not find a link between preferences and relationship decisions, for the most part, investigated the initial stage of getting to know each other (e.g., Eastwick & Finkel, 2008; Joel et al., 2017; Todd et al., 2007), whereas studies finding a relationship between preferences and relationship decisions often investigated already established relationships (e.g., Conroy-Beam & Buss, 2016; Park & MacDonald, 2019) or relationship formation (e.g., Campbell et al., 2016; Gerlach et al., 2019). However, our findings have important implications for future research investigating the association of ideal partner preferences and relationship decisions. First, the relatively high stability of preferences suggests that studies which investigate the association between preferences and relationship decisions do not necessarily need to constantly assess preferences over the investigated timespan. Instead, study designs in which preferences are initially assessed should suffice to investigate the link between these initial preferences and later relationship decisions. Second, a factor to consider when investigating longer timespans or populations more diverse as the typical student sample is that having children may alter preferences. Future studies investigating partner preferences may thus take into account the parenthood status of participants and the presence (vs. absence) of family formation goals more broadly.

Insight Into Preference Change

Over the 13-year study period, preferences for status-resources and warmth-trustworthiness increased and decreased for vitality-attractiveness—but were these changes mirrored in participants’ perceptions? Descriptively, participants perceived increases in their preference for warmth-trustworthiness and perceived decreases in their preference for vitality-attractiveness and status-resources. They also perceived increases in family orientation, intelligence, and humor and decreases in adventurousness-confidence and creativity. One interpretation of these perceived changes may be that participants believe to place more importance on dimensions that become more relevant with increasing age. For example, with increasing age, it may be adaptive to have a partner who is caring and oriented toward the family instead of a partner who is up for adventure and likes taking risks. Although objectively, having a high status and resources might also become more important when one gets older, participants may not perceive this change because they might have already achieved certain resources or status for themselves and may not realize that this increased standard of living has already shaped their preferences for a partner. Another possibility is that participants may answer in a socially desirable way: If participants do not want to admit that having a certain status and monetary resources is relevant to them, they might indicate that this dimension had become less relevant to them over time, while still ascribing considerable importance to it.

Interestingly, around 50% of participants did not report that they changed their ideals, except for family orientation, where only 37% of participants believed that their preferences had not changed. These patterns dovetail with results by Sprecher and colleagues (2018): Around half of their sample perceived not to have changed their ideals, except for “good parenting potential,” a variable close to family orientation. This perception of no change may mirror the previously found stability of ideal partner preferences or changes may have occurred at a younger age (Bleske-Rechek & Ryan, 2015).

When investigating whether perceptions correspond to actual changes, overall, we found a small positive effect. Yet, insight varied considerably between the different dimensions: Participants had the most insight into family orientation and the least for status-resources and intelligence. Contradicting our fifth hypothesis (insight into changes for status-resources, H5.1), participants believed to have decreased in their preference, when in fact they increased over time. One possibility is that participants may perceive themselves in a biased self-enhancing manner via a similar process to what Robins et al. (2005) suggested to be the case for perceived changes in personality. Yet, in line with the second part of this prediction (H5.2), participants showed some insight into changes in their preference for vitality-attractiveness, although the perception of change appears stronger than the actual change. Interestingly, age and sex were not related to participants’ insight.

The present results for perceptions are in line with previous research (Bleske-Rechek et al., 2009) that found participants to predict that they would value intrinsic characteristics (i.e., warmth-trustworthiness, family orientation) more and appearance (i.e., vitality-attractiveness) less over time, suggesting that participants may be more oriented toward committed relationships over time. At the same time, perceptions of change were somewhat exaggerated and for the most part only achieved modest accuracy (family orientation being a notable exception), showing that perceptions do not necessarily correspond to actual changes. These results highlight the necessity to conduct longitudinal studies when one is interested in preference change and underscore that intraindividual processes should not be investigated in cross-sectional data: Self-perceptions of change do not reflect actual changes accurately enough to allow them to be used as a substitute.

Strengths

The longitudinal design of this study, covering 13 years, makes it unique among studies on the stability and change of partner preferences, which have so far investigated much shorter time periods. Even over this long timespan, we managed to rerecruit a sizable proportion of the initial sample, and participant retention was better than expected over such a large time interval. For example, while in the current study we found a retention rate of 59% after 13 years, Gerlach et al. (2019) reported a retention rate of more than five months of 64%, whereas a study by Gustavson et al. (2012) covering a time span of 15 years reported a retention rate of 44%. A special feature of our sample is that it is a community sample not restricted to the typical student population. In particular, our sample spanned a wide age range, allowing us to investigate intraindividual stability and change of preferences across a period when participants were still single until much later in life when they may have found a partner with whom they then had to decide whether to have children or not. Investigating this life stage may be of particular interest since it does not only involve the time in which participants start having a family but also a time in which important career decisions take place. Finally, we used comprehensive measures of participants’ ideals at both assessments and complementary indices to investigate their stability and change.

Limitations and Future Directions

Although our community sample was arguably more diverse than the typical student sample, it was still highly educated and came from a Western background. The generalizability of our results may be limited because preferences and their importance could not only vary by education but also across different cultures. For example, in a study involving samples from Taiwan, Lam et al. (2016) uncovered preference attributes referring to the extended family previously overlooked in Western samples. Furthermore, education might be related to how much importance individuals ascribe to attributes conducive to a partner’s career advancement (e.g., successful, ambitious). Future studies should strive to recruit participants with more diverse educational backgrounds, ideally also from non-Western countries (Henrich et al., 2010).

Furthermore, although the large retest period is unique and showed that ideal partner preferences contain a sizable trait component, life events may still be associated with a change in preferences. The fact that we only had two assessments available precludes an in-depth analysis of further factors that might have driven preference change. Future research should include multiple assessments of preferences and important events (e.g., parenthood; entering Gerlach et al., 2019 or ending relationships; experiences of romantic rejection and acceptance Charlot et al., 2020). Additional factors influencing changes in partner preferences may be the increased occurrence of specific life events in a persons’ social environment. For example, the importance of having a partner with a high family orientation may increase when more and more people in one’s environment are trying to or are indeed having a child (Keim et al., 2009). Another possible change in partner preferences may be that people lower their expectations after a long period of time not being able to find a partner (Gerlach et al., 2019). For example, people lower their standards regarding a partner’s physical attractiveness. Finally, a recent study has found divorce to be associated with changes in self-esteem (Bleidorn et al., 2021). Similarly, relationship dissolution may be a life event associated with changes in preferences. For example, after a relationship dissolution fraught with conflict, individuals may increase their preference for having a kind, trustworthy partner because they recently got to know the disagreeable side of their ex-partner. Future research with multiple assessments should also include participants’ perception of change to investigate what drives the accuracy of preference change perceptions and whether the perception of change may be associated with future dating or relationship decisions.

Finally, we deviated from our preregistered analytic plan in three analytic decisions (see S4). Therefore, only our hypotheses and design can be regarded as preregistered. In particular, the diverging assessment of initial ideals between the two samples led to larger problems than anticipated, which led us to the decision to analyze both samples separately and interpret results based on the BSDS only. Unfortunately, this also lowered our sample size, hence the power of our study, which is especially relevant for the analyses comparing participants with and without children. Furthermore, as the instruction for rating partner preferences was not completely identical across T1 and T2, we also checked for measurement invariance across the two time points according to the procedure as suggested by Mackinnon et al. (2022). We found scalar invariance partly supported, suggesting that participants may have interpreted our response scale slightly differently at T1 and T2. We therefore recommend future studies to adopt the exact same wording of their instructions at all assessments.

Social Class, Sex, and the Ability to Recognize Emotions: The Main Effect is in the Interaction

Social Class, Sex, and the Ability to Recognize Emotions: The Main Effect is in the Interaction. Susan A. Brener et al. Personality and Social Psychology Bulletin, April 4, 2023. https://doi.org/10.1177/01461672231159775

Abstract: Previous research has demonstrated an inverse relation between subjective social class (SSC) and performance on emotion recognition tasks. Study 1 (N = 418) involved a preregistered replication of this effect using the Reading the Mind in the Eyes Task and the Cambridge Mindreading Face-Voice Battery. The inverse relation replicated; however, exploratory analyses revealed a significant interaction between sex and SSC in predicting emotion recognition, indicating that the effect was driven by males. In Study 2 (N = 745), we preregistered and tested the interaction on a separate archival dataset. The interaction replicated; the association between SSC and emotion recognition again occurred only in males. Exploratory analyses (Study 3; N = 381) examined the generalizability of the interaction to incidental face memory. Our results underscore the need to reevaluate previous research establishing the main effects of social class and sex on emotion recognition abilities, as these effects apparently moderate each other.

The AI Effect: People rate distinctively human attributes as more essential to being human after learning about artificial intelligence advances

The AI Effect: People rate distinctively human attributes as more essential to being human after learning about artificial intelligence advances.Erik Santoro, Benoît Monin. Journal of Experimental Social Psychology,Volume 107, July 2023, 104464. https://doi.org/10.1016/j.jesp.2023.104464

Abstract: As news reports describing Artificial Intelligence (AI) proliferate, will people's perceptions of human nature change such that they rate distinctively human attributes as more essential? Five studies (N = 5111) demonstrate this “AI Effect.” Study 1 first establishes a two-part classification of human attributes used in subsequent studies, distinguishing human attributes that AI are perceived as capable of (“shared” attributes such as using logic or language) from ones that humans are seen as uniquely capable of (“distinctive” attributes such as having a personality or beliefs). Study 2 demonstrates the AI Effect: compared to reading an article about the attributes of trees, reading an article describing AI advances leads participants to rate distinctive attributes as more essential to being human. Study 3 tests whether this effect is due to anthropomorphizing a non-human entity. Study 4 considers the alternative that this effect is solely driven by demand. Study 5 shows that it is enough to simply mention AI advances to observe this effect. This research suggests that as people learn about increasingly sophisticated AI, conceptions of human nature may shift in reaction to regard what makes humans unique as more essential.

Each year governments worldwide spend an enormous amount of money subsidising businesses; researching the relationship between the allocation of government subsidies and total productivity for Chinese listed firms

China does not pick – or create – winners when giving subsidies to firms. Lee Branstetter, Guangwei Li,Mengjia Ren. CEPR, Mar 9 2023. https://cepr.org/voxeu/columns/china-does-not-pick-or-create-winners-when-giving-subsidies-firms

Abstract: Each year governments worldwide spend an enormous amount of money subsidising businesses. This column investigates the relationship between the allocation of government subsidies and total productivity for Chinese listed firms. The authors find little evidence that the Chinese government consistently ‘picks winners’. Firms’ ex-ante productivity is negatively correlated with subsidies received by firms, and subsidies appear to have a negative impact on firms’ ex-post productivity growth.

We conduct a two-stage analysis. In the first stage, we estimate standard Cobb-Douglas production functions separately by industry, and compute total factor productivity (TFP) for each firm in each year. In the second stage, we seek to understand the relationship between government subsidies and estimated TFP, using a number of different regression approaches.

Our analysis provides no evidence that the Chinese government consistently ‘picks winners’. There appears to be a statistically significant negative correlation between subsidies and TFP, and a robust positive correlation between subsidies and firm size (as measured by the firm's total assets) and between subsidies and net profit. These results indicate that, overall, subsidies are given to larger and more profitable, but less productive firms.

We also find little evidence that receiving a subsidy is correlated with subsequent growth in TFP. When we aggregate across subsidy types, total subsidies appear to have a statistically significant negative impact on subsequent TFP growth. When we disaggregate across subsidy types, we find that even subsidies given out in the name of R&D and innovation promotion or industrial and equipment upgrading have no measured, statistically significant positive effect on firms’ productivity growth.

On the other hand, receiving a subsidy does seem to be correlated with an increase in firms’ employment. When we aggregate across subsidy types, we find that current subsidies appear to have a positive impact on current employment levels, while the prior year’s subsidies seem to have a negative impact on current employment, potentially indicating that firms might be strategically manipulating employment numbers to get subsidies. In other words, firms are temporarily increasing hiring during the period when they receive subsidies, then cut back on employment during the next period. This is consistent with the view that political considerations might outweigh efficiency considerations in the allocation of direct subsidies in China.

Although conservatives had poorer quality work motivation and values than liberals, they were happier nonetheless

Conservatives Report Less Autonomous Work Motivation and Less Intrinsic Values than Liberals, but are Happier Nonetheless: The Explanatory Role of Psychological Need-Satisfaction. Kennon M. Sheldon. Journal of Happiness Studies, Apr 4 2023. https://link.springer.com/article/10.1007/s10902-023-00656-0

Abstract: Many studies have compared conservative and liberal personalities in terms of traits and cognitive styles. Fewer studies have compared the motivations and values of the two groups, and fewer still have used the perspective of self-determination theory. Using two large archival datasets (Ns = 16,058 university students and 4314 working lawyers), I tested the hypotheses that conservatives would score lower in autonomous work motivation (H1) and in relative intrinsic value orientation (H2), compared to liberals. Consistent support was found for these two hypotheses. Supporting H3, autonomous work motivation and intrinsic value orientation were positively correlated with subjective well-being (SWB), as is typical. Still, despite their seeming motivational vulnerabilities, conservatives reported more SWB and meaning in life than liberals, consistent with other recent studies (H4). Mediational analyses suggest that the conservative advantage in SWB can be partially explained by conservative advantages in relatedness and/or competence need-satisfaction.