The overwhelming majority of theories are rejected because they contain bad explanations, not because they fail experimental tests.
About this quote
- What does it mean?
- Most theories fail due to poor explanations rather than experimental contradictions.
- In plain terms
- Bad explanations kill theories more than failed tests.
- What can you take from it?
- Focus on good explanations to avoid bad theories.
Where it applies
Putting it to work
Questions to consider
- What makes an explanation good?
- How do we test theories?
Another view
Some theories fail precisely because they contradict experimental data.
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