There are a few more dealing with probabilities that I would add:
Gambler's Fallacy: This is best seen at the roulette tables in Vegas. They often have a little sign that shows the last 10 results. If you happen to walk by and notice that red has hit the last 10 times in a row you might think that there is a much higher probability of green on the roll. YOU WOULD BE WRONG. These are independent events. Past results do not affect future results for independent events. You could get red one thousand times in a row and the chances of getting red the next time are the same as they were for the previous one thousand trials. Using another example, you could flip an coin and get heads one thousand times in a row. What are the odds of getting heads on the next flip of the coin? 50%.
Sharpshooter fallacy: This is where you paint the bull's eye around the bullet hole, also known as Texas Sharpshooting. You commit this fallacy when you lack a hypothesis before the data is gathered, and then form a hypothesis based on the data to ensure that they hypothesis passes. Michael Behe has committed this fallacy on quite a few occasions. He has argued that some adaptations require multiple mutations, and the odds of those mutations occuring are astronomical. What Behe does not consider is that other mutations could have occurred resulting in a different adaptation.
Gambler's Fallacy: This is best seen at the roulette tables in Vegas. They often have a little sign that shows the last 10 results. If you happen to walk by and notice that red has hit the last 10 times in a row you might think that there is a much higher probability of green on the roll. YOU WOULD BE WRONG. These are independent events. Past results do not affect future results for independent events. You could get red one thousand times in a row and the chances of getting red the next time are the same as they were for the previous one thousand trials. Using another example, you could flip an coin and get heads one thousand times in a row. What are the odds of getting heads on the next flip of the coin? 50%.
Sharpshooter fallacy: This is where you paint the bull's eye around the bullet hole, also known as Texas Sharpshooting. You commit this fallacy when you lack a hypothesis before the data is gathered, and then form a hypothesis based on the data to ensure that they hypothesis passes. Michael Behe has committed this fallacy on quite a few occasions. He has argued that some adaptations require multiple mutations, and the odds of those mutations occuring are astronomical. What Behe does not consider is that other mutations could have occurred resulting in a different adaptation.
Upvote
0
