No, because they have been proven wrong on many occasions.
3% (2 votes)
Yes, because they are more accurate than no forecast at all.
5% (3 votes)
We can trust some forecasts more than others based on their methodology and prior accuracy.
92% (55 votes)
Total votes: 60
Understanding the importance of causality for science.
Understanding the importance of the internal consistency of theories.
Understanding the importance of empirical testing.
Understanding the difference between science and witchcraft.
Understanding the evolution of science.