Q: Your data set is incomplete.
A: All data sets are incomplete.
Q: Your data set isn't random.
A: No data sets are entirely random.
Q: I have an explanation of why your method of selecting data points leads to a misleading result.
A: That's nice. I like explanations.
Q: Don't you care that I have a criticism of your argument?
A: I said we should throw out induction. As you may know, I think we should use an explanation-focussed approach. I took your claim to have an explanation, and lack of claim to have induced anything, as agreement.
Q: But how am I supposed to object to your argument using only induction? Induction isn't a tool for criticizing invalid uses of induction.
A: So you're saying induction cannot tell us which inductions are true or false. We need explanation to do that. So induction is useless without explanation, but explanation is not useless without induction.
Q: That doesn't prove induction is useless.
A: Have you ever thought about how much of the work, in a supposed induction, is done by induction, and how much by explanation?
A: Try it sometime.