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Today's conversation delves into the fascinating world of heuristics and biases that shape our decision-making processes. We explore how our brains rely on mental shortcuts, which can often lead us astray, especially in uncertain situations. By examining classic research from Tversky and Kahneman, we uncover the representativeness heuristic, where we judge probabilities based on stereotypes, and the availability heuristic, which leads us to overestimate risks based on easily recalled events. These shortcuts, while convenient, can distort our perceptions of reality, making us susceptible to misleading judgments. Awareness of these cognitive biases is crucial; by understanding how they operate, we can make more informed and deliberate choices in our daily lives.
Takeaways:
Paper Referenced:
Tversky A, Kahneman D. Judgment under Uncertainty: Heuristics and Biases. Science. 1974 Sep 27;185(4157):1124-31. doi: 10.1126/science.185.4157.1124. PMID: 17835457.
Link - https://pubmed.ncbi.nlm.nih.gov/17835457/
To Connect with Parv:
Threads: https://www.threads.net/@parv.sondhi
Built with AI using https://notebooklm.google.com/
Today's conversation delves into the fascinating world of heuristics and biases that shape our decision-making processes. We explore how our brains rely on mental shortcuts, which can often lead us astray, especially in uncertain situations. By examining classic research from Tversky and Kahneman, we uncover the representativeness heuristic, where we judge probabilities based on stereotypes, and the availability heuristic, which leads us to overestimate risks based on easily recalled events. These shortcuts, while convenient, can distort our perceptions of reality, making us susceptible to misleading judgments. Awareness of these cognitive biases is crucial; by understanding how they operate, we can make more informed and deliberate choices in our daily lives.
Takeaways:
Paper Referenced:
Tversky A, Kahneman D. Judgment under Uncertainty: Heuristics and Biases. Science. 1974 Sep 27;185(4157):1124-31. doi: 10.1126/science.185.4157.1124. PMID: 17835457.
Link - https://pubmed.ncbi.nlm.nih.gov/17835457/
To Connect with Parv:
Threads: https://www.threads.net/@parv.sondhi
Built with AI using https://notebooklm.google.com/