Emissions and energy impacts of the Inflation Reduction Act.

Economy-wide emissions drop 43 to 48% below 2005 levels by 2035 with accelerated clean energy deployment.

Work and well-being: collective and individual self-concept, job commitment, citizenship behavior, and autonomy as predictors of overall life satisfaction.

A job may contribute to overall life satisfaction (LS) when it meets basic psychological needs. This study examined aspects of one's work (organizational commitment, citizenship behavior and autonomy), and individual differences in self-concept (collective versus individual), as predictors of overall LS. 295 employees working at a variety of jobs completed questionnaires online. Results showed that higher collective self-concept predicted greater LS; this was partially mediated by affective job commitment, work autonomy and altruistic citizenship behaviors, all of which also independently predicted greater LS. Higher individual self-concept was also a significant predictor of LS, partially mediated by compliance citizenship behaviors. These results suggest that when work fulfills a need for connectedness (i.e., for people with a collective self-concept), autonomy, and when we feel emotionally committed to our job, and go beyond what it requires, our overall LS is higher. These results clarify some positive ways that our work contributes to overall LS, but important questions remain for future research.

Actions for reducing US emissions at least 50% by 2030.

Policies must help decarbonize power and transport sectors.

Deep mitigation of CO2 and non-CO2 greenhouse gases toward 1.5 °C and 2 °C futures.

Stabilizing climate change well below 2 °C and towards 1.5 °C requires comprehensive mitigation of all greenhouse gases (GHG), including both CO2 and non-CO2 GHG emissions. Here we incorporate the latest global non-CO2 emissions and mitigation data into a state-of-the-art integrated assessment model GCAM and examine 90 mitigation scenarios pairing different levels of CO2 and non-CO2 GHG abatement pathways. We estimate that when non-CO2 mitigation contributions are not fully implemented, the timing of net-zero CO2 must occur about two decades earlier. Conversely, comprehensive GHG abatement that fully integrates non-CO2 mitigation measures in addition to a net-zero CO2 commitment can help achieve 1.5 °C stabilization. While decarbonization-driven fuel switching mainly reduces non-CO2 emissions from fuel extraction and end use, targeted non-CO2 mitigation measures can significantly reduce fluorinated gas emissions from industrial processes and cooling sectors. Our integrated modeling provides direct insights in how system-wide all GHG mitigation can affect the timing of net-zero CO2 for 1.5 °C and 2 °C climate change scenarios.

Losses and External Outcomes Interact to Produce the Gambler's Fallacy.

When making serial predictions in a binary decision task, there is a clear tendency to assume that after a series of the same external outcome (e.g., heads in a coin flip), the next outcome will be the opposing one (e.g., tails), even when the outcomes are independent of one another. This so-called "gambler's fallacy" has been replicated robustly. However, what drives gambler's fallacy behavior is unclear. Here we demonstrate that a run of the same external outcome by itself does not lead to gambler's fallacy behavior. However, when a run of external outcomes is accompanied by a concurrent run of failed guesses, gambler's fallacy behavior is predominant. These results do not depend on how participants' attention is directed. Thus, it appears that gambler's fallacy behavior is driven by a combination of an external series of events and a concurrent series of failure experiences.

Grouping and gambling: a Gestalt approach to understanding the gambler's fallacy.

The gambler's fallacy was examined in terms of grouping processes. The gambler's fallacy is the tendency to erroneously believe that for independent events, recent or repeated instances of an outcome (e.g., a series of "heads" when flipping a coin) will make that outcome less likely on an upcoming trial. Grouping was manipulated such that a critical trial following a run of heads or tails was grouped together with previous trials (i.e., the last trial of "Block 1") or was the first trial of another group (the first trial of "Block 2"). As predicted, the gambler's fallacy was evident when the critical trial was grouped with the previous trials, but not when it was arbitrarily grouped with the next block of trials. Discussion centres on the processes underlying the gambler's fallacy and practical implications of these findings.