On January 6, 2021, the belief that voter fraud was to blame for Trump’s 2020 loss led thousands of people to storm the Capitol during election certification, aiming to occupy it by force to stop this process. While only thousands participated, millions more voiced their support for the insurrection, and this begs the question: What explains perceptions of voter fraud and support for the January 6 insurrection? Recent studies establish that White conservatives are more likely to believe that voter fraud is a rampant problem, linking these perceptions to state efforts to expand access to voting systems where racial minority groups stand to gain equality. Using a combination of pre-election, post-election, and post-insurrection survey data, we examine the link between White racial attitudes and perceptions of voter fraud and views toward the insurrection. We argue that White racial attitudes are pivotal in explaining the perceptions of voter fraud that led to the January 6 insurrection. We find that White Americans with a bias for their own racial in-group over racial out-groups are likelier to doubt the election results after Donald Trump was declared the loser, though not before. We find these same attitudes are statistically associated with sympathy for the insurrection and insurrectionists.

Over recent decades it has consistently been shown that disabled adults in the UK fare worse in the labour market and have lower levels of wellbeing than non-disabled adults. However, this is in part due to the selection into dis-ability of those with existing socio-economic disadvantages. In this article, we use panel data from the combined British Household Panel Survey and Understanding Society, covering the 27 years from 1991 to 2018, to distinguish between the effect of selection, the effect of dis-ability onset and the effect of dis-ability duration on a range of labour market and wellbeing outcomes. We show that there is important selection both into dis-ability and into longer experience of dis-ability on the basis of observable characteristics. We also show the importance of controlling for time-invariant unobservable individual characteristics that similarly affect selection into dis-ability and duration of dis-ability. Even after controlling for both forms of selection, we find significant negative effects of dis-ability onset and duration, and offer policy solutions to address them.

This editorial summarises the clinical relevance of ‘chronopsychiatry’, defined as the interface between circadian science and mental health science. Chronopsychiatry represents a move towards time-variable perspectives on neurobiology and symptoms, with a greater emphasis on chronotherapeutic interventions.

Bowers et al. express skepticism about deep neural networks (DNNs) as models of human vision due to DNNs' failures to account for results from psychological research. We argue that to fairly assess DNNs, we must first train them on more human-like tasks which we hypothesize will induce more human-like behaviors and representations.