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MOST COMMON FALLACIES: #10 HASTY GENERALIZATION Definition and explanation: The hasty generalization fallacy draws a broad conclusion based on a small sample. All day, every day, we use limited information to generalize. By definition we have to, as we will never have fully complete data sets to analyze for each and every decision. However, the strength of our conclusion depends on our sample: those based on larger and more representative samples are significantly stronger than those based on sm
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MOST COMMON FALLACIES: #10 HASTY GENERALIZATION Definition and explanation: The hasty generalization fallacy draws a broad conclusion based on a small sample. All day, every day, we use limited information to generalize. By definition we have to, as we will never have fully complete data sets to analyze for each and every decision. However, the strength of our conclusion depends on our sample: those based on larger and more representative samples are significantly stronger than those based on sm
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Overgeneralization is a very common fallacy. ● Link: https://arata.se/hello288 ● It serves to convince you of something even without solid evidence. This type of fallacy is also known as hasty conclusion (I'm using generic names on purpose because the most important thing is for you to understand the concept and not to memorize nomenclatures). For example, your friend, Samuel, discovers a new cryptocurrency called BoboCoin that has tripled in trading price in just one day. He excitedly says that
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Overgeneralization is a very common fallacy. ● Link: https://arata.se/hello288 ● It serves to convince you of something even without solid evidence. This type of fallacy is also known as hasty conclusion (I'm using generic names on purpose because the most important thing is for you to understand the concept and not to memorize nomenclatures). For example, your friend, Samuel, discovers a new cryptocurrency called BoboCoin that has tripled in trading price in just one day. He excitedly says that
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