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When we observe a dog wounded in a traffic accident, for instance, we infer that the dog must be in pain, based on the analogy between humans and dogs and what we know about humans. The structure of this piece of reasoning can be unpacked as follows: Dogs are analogous to humans. When humans are wounded, they experience pain. Therefore, it is reasonable to conclude that when dogs are wounded, they experience pain.

What are the fallacies and biases of analogical reasoning ?

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The fallacies of analogical reasoning include weak analogy and false analogy, while biases can affect analogical reasoning, such as confirmation bias.

When using analogical reasoning, there can be fallacies and biases that affect the validity of the argument.

One common fallacy is the fallacy of weak analogy, where the similarities between the objects being compared are not strong enough to support the conclusion.

For example, comparing wounds in dogs to wounds in humans may not be a strong enough analogy to conclude that dogs experience pain.

Another fallacy is the fallacy of false analogy, where the objects being compared are not actually analogous.

This can lead to incorrect conclusions.

Biases can also affect analogical reasoning, such as confirmation bias, where we selectively focus on evidence that supports our preexisting beliefs.

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