The reproducibility crisis in social sciences has revealed significant weaknesses in conventional research practices, including selective publication, questionable statistical methods, and opaque peer review processes. This paper introduces Granular Interaction Thinking Theory (GITT) as a novel framework for understanding the plausibility of scientific findings, conceptualizing knowledge validation as a structured entropy-reduction process. Within this framework, open science practices—such as open data, open review, and open dialogue—initially increase informational entropy by exposing inconsistencies. However, through iterative refinement, (...) they ultimately enhance the robustness and plausibility of scientific knowledge. To systematically assess a study’s plausibility, we propose the Scientific Plausibility Index (SPI)—an entropy-based metric that integrates data and method transparency, replication success rates, and community engagement. Additionally, leveraging artificial intelligence (AI) and natural language processing (NLP), a dynamic plausibility-tracking system could be developed to detect unreliable claims early and accelerate scientific self-correction. This shift—from closed, one-time assessments to continuous, community-driven evaluation models—ensures that scientific knowledge remains rigorously tested and updated. We advocate for shifting from closed, one-time assessments to continuous, community-driven evaluation models, ensuring that scientific knowledge remains rigorously tested and updated. Ultimately, aligning incentives with entropy-reducing mechanisms—such as rewarding replication efforts and fostering open discourse—can cultivate a research culture that prioritizes robustness, transparency, and cumulative knowledge-building. (shrink)

Climate activism has played a crucial role in shaping environmental discourse and policy, yet as the climate crisis intensifies, traditional methods are increasingly viewed as inadequate. This paper applies Granular Interaction Thinking Theory (GITT) to analyze the rise of radical climate activism and its societal implications. GITT posits that large-scale social transformations emerge from the accumulation of micro-level interactions, such as protests, media engagement, and public discourse. As climate activism escalates, some groups adopt disruptive (...) tactics—ranging from nonviolent civil disobedience to direct action and sabotage—to force urgent responses from governments and corporations. The study also examines the cognitive and social mechanisms behind this shift, emphasizing the role of informational entropy-based value formation in shaping activists’ strategies and public perceptions. While radical activism can heighten climate awareness and pressure policymakers, it also entails substantial risks, including public backlash, legal repercussions, and internal fragmentation within the movement. In light of these challenges, we advocate an alternative solidarity approach, emphasizing the strategic dissemination of climate and environmental information to the public, the promotion of eco-surplus culture, and the cultivation of cooperative efforts among governments, businesses, and activists to drive meaningful and sustainable solutions. (shrink)

A recent study suggests that value and quantum states seem to be governed by the same underlying mechanisms. In our recent book titled "Better economics for the Earth: A lesson from quantum and information theories," specifically Chapter 5, we have proposed an informational entropy-based notion of value, grounded in Granular Interaction Thinking Theory (GITT), which integrates granular worldview and primary features of quantum mechanics, Shannon’s information theory, and the mindsponge theory. Specifically, the (...) notion suggests that values are created through the interactions of information. But how do information and its interactions lead to values? This research note aims to contribute to the answer to this question. (shrink)

This study examines the dynamic relationship between face-saving mechanisms—proxied by age, income, and gender—and the peers’ safe-driving information on the driving behaviors of Chinese drivers. Using the Bayesian Mindsponge Framework (BMF) and Granular Interaction Thinking Theory (GITT) to analyze data from 1,039 Chinese drivers, we uncover a complex interplay of factors. Our findings suggest that peers serving as role models and actively supporting careful driving positively influence drivers’ safe driving behaviors. The effect of role-model peers (...) is strengthened among drivers with higher age and income levels. In contrast, the impact of actively engaged peers is lower among these groups and male drivers (though the gender’s negative moderation effect is weakly reliable). These results highlight the crucial role of peer influence in promoting safe driving and underscore the dynamic effects of cultural values, particularly face-saving concerns, on drivers’ cognitive and behavioral processes in China. (shrink)

Coastal environments are widely recognized as valuable public health resources and therapeutic landscapes. However, limited research has examined how specific coastal interactions that foster close connections with nature influence health outcomes. This study investigates the relationship between the frequency of engaging in high-nature-interaction coastal activities―e.g., beach walking, wildlife spotting, water sports, mountain biking, spending time on the beach, beach sports, watching the sunset, seagoing, and shell collecting― and health outcomes among visitors to the Belgian coast. Using a dataset of (...) 1,939 responses, we analyze how the frequencies of these activities over the past year are associated with self-reported mental and general health. Grounded in the Granular Interaction Thinking Theory (GITT) and employing Bayesian GITT Framework analytics, the study identifies distinct patterns in these associations. While frequent engagement in activities, e.g., beach walking and beach sports, is positively linked to both mental and general health, spending time on the beach and shell collecting are unexpectedly associated with negative health outcomes. Watching the sunset is negatively associated with general health, while mountain biking and water sports show negative associations with mental health. In contrast, wildlife spotting exhibits a positive association with mental well-being. These findings highlight the complex interplay of environmental factors, visitor perceptions, and biophysical-psychological interactions in shaping health outcomes. The study emphasizes the need for targeted coastal management strategies to enhance the therapeutic benefits of blue spaces and calls for further research to elucidate the mechanisms underlying these associations. (shrink)

Technological innovations are increasingly promoted as solutions to climate change. However, many innovations, including Carbon Capture and Storage, bioplastics, and glacier geo engineering, face significant limitations, high costs, and unintended consequences that undermine their sustainability benefits. Using Granular Interaction Thinking Theory (GITT), grounded on information theory, quantum mechanics, and Mindsponge theory, in this study, we analyze how excessive technological innovations create an “innovation curse” and contribute to the erosion of Indigenous and Local Knowledge. (...) Our findings reveal that market and institutional biases favor high-tech solutions, sidelining proven ecological strategies that operate within planetary boundaries. We propose the eco-surplus framework, which emphasizes the integration of Indigenous and Local Knowledge and nature-based solutions as scalable, cost-effective climate interventions. Transitioning from an “eco-deficit” to an “eco surplus” culture requires institutional shifts that prioritize ecological intelligence over proprietary technologies. Our study emphasizes the urgency of aligning sustainability efforts with regenerative, community-driven practices to foster long-term environmental resilience. (shrink)

As gatekeepers, editors and reviewers play a central role in identifying reliable and valuable scientific works for preservation and dissemination, contributing to subsequent knowledge production and public use. Despite its benefits, the rejection mechanism often carries significant emotional and career consequences for researchers. The analysis of 304 rejection letters since 2022 indicates that over 97% of rejections were attributed solely to authors’ shortcomings or the journal’s rigorous evaluation standards, while less than 3% cited journal-side limitations. This pattern suggests a prevailing (...) tendency where journals position themselves as the standard of quality, implicitly framing rejected research as inherently unqualified and placing an undue burden on authors—the primary producers of knowledge. Given the fallibility of journals, we propose a shift from viewing them as gatekeepers to recognizing them as facilitators of knowledge production. This transition would require embracing intellectual humility, thereby alleviating the rejection-induced burdens on researchers and fostering a more constructive scholarly environment. (shrink)