by One of my absolute favourites Inference to the Best Explanation can be seen as an extension of the idea of `self-evidencing’ explanations, where the phenomenon that is explained in turn provides an essential part of the reason for believing the explanation is correct. For example, a star’s speed of recession explains why its characteristic spectrum is red-shifted by a specified amount, but the observed red-shift may be an essential part of the reason the astronomer has for believing that the star is receding at that speed. Self-evidencing explanations exhibit a curious circularity, but this circularity is benign. The recession is used to explain the red-shift and the red-shift is used to confirm the recession, yet the recession hypothesis may be both explanatory and well-supported. According to Inference to the Best Explanation, this is a common situation in science: hypotheses are supported by the very observations they are supposed to explain. Moreover, on this model, the observations support the hypothesis precisely because it would explain them. Inference to the Best Explanation thus partially inverts an otherwise natural view of the relationship between inference and explanation. According to that natural view, inference is prior to explanation.
Topics:
Lars Pålsson Syll considers the following as important:
This could be interesting, too:
Matias Vernengo writes Elon Musk (& Vivek Ramaswamy) on hardship, because he knows so much about it
Lars Pålsson Syll writes Klas Eklunds ‘Vår ekonomi’ — lärobok med stora brister
New Economics Foundation writes We need more than a tax on the super rich to deliver climate and economic justice
Robert Vienneau writes Profits Not Explained By Merit, Increased Risk, Increased Ability To Compete, Etc.
One of my absolute favourites
Inference to the Best Explanation can be seen as an extension of the idea of `self-evidencing’ explanations, where the phenomenon that is explained in turn provides an essential part of the reason for believing the explanation is correct. For example, a star’s speed of recession explains why its characteristic spectrum is red-shifted by a specified amount, but the observed red-shift may be an essential part of the reason the astronomer has for believing that the star is receding at that speed. Self-evidencing explanations exhibit a curious circularity, but this circularity is benign.
The recession is used to explain the red-shift and the red-shift is used to confirm the recession, yet the recession hypothesis may be both explanatory and well-supported. According to Inference to the Best Explanation, this is a common situation in science: hypotheses are supported by the very observations they are supposed to explain. Moreover, on this model, the observations support the hypothesis precisely because it would explain them. Inference to the Best Explanation thus partially inverts an otherwise natural view of the relationship between inference and explanation. According to that natural view, inference is prior to explanation. First the scientist must decide which hypotheses to accept; then, when called upon to explain some observation, she will draw from her pool of accepted hypotheses. According to Inference to the Best Explanation, by contrast, it is only by asking how well various hypotheses would explain the available evidence that she can determine which hypotheses merit acceptance. In this sense, Inference to the Best Explanation has it that explanation is prior to inference.
