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Hace 4 días · As Carol Tavris and Elliot Aronson explain in Mistakes Were Made (but not by me), when two people, who might have similar beliefs at the beginning, each seek to lessen the discomfort of cognitive dissonance by justifying and bolstering the belief they think will offer them the most safety and belonging, they can find themselves sliding down opposite sides of the justification triangle, ending ...
Hace 5 días · In 2021, I read Elliot Aronson’s book “The Social Animal” for the first time. I remember being impressed by the concepts, which were, at the same time, familiar to me from the American articles I had read over time. In June 2024, after I finished my first year at the Psychology college, I managed to […]
Hace 2 días · La manera como alguien que abusa, que miente, o que es deshonesto, puede no sentirse culpable, se describe por los psicologos sociales, y entender este proce...
Animal social de Elliot Aronson. Libro que describe los diferentes avances y descubrimientos a través de la ciencia. Un libro que todo profesional de la psicología debe leer. Pensamiento y lenguaje de Lev Vygotsky.
Hace 1 día · Nuclear fusion is a reaction in which two or more atomic nuclei, usually deuterium and tritium (hydrogen isotopes), combine to form one or more different atomic nuclei and subatomic particles (neutrons or protons).The difference in mass between the reactants and products is manifested as either the release or absorption of energy.This difference in mass arises due to the difference in nuclear ...
Hace 2 días · Mistakes Were Made (But Not By Me) by Carol Tavris and Elliot Aronson. Check Out These Additional Resources. Grab a copy of Harry’s book now (use the code READ20 for 20% off at this link). Check out this website for more from Harry. Consider inviting Harry to visit your organizatio n. Connect with Harry personally on LinkedIn and X. Comment ...
Hace 4 días · This work develops the first automatic benchmark generation approach, AUTOHALLUSION, that enables us to create new benchmarks at the minimum cost and thus overcomes the fragility of hand-crafted benchmarks. Large vision-language models (LVLMs) hallucinate: certain context cues in an image may trigger the language module's overconfident and incorrect reasoning on abnormal or hypothetical objects.
