I was very surprised at the idea of Cromwell's Law. More specifically, at the implication that Cromwell's Law suggests. Cromwell's Law tells us that we should always assign a certain probability for an unknown variable/outcome/etc. The implication of this law is that humans can never be 100% accurate or sure about anything. There is always some degree of uncertainty which then push me towards a philosophical conundrum about self-accuracy.
If I were conducting the interview, I would ask Spiegehalter about his thoughts about news headlines falsifying or misguiding readers by providing unclear statistics about certain events. For example, some news articles may say, "Survey says 100% of all Harvard Students are Depressed". However, if they only sample 3 people and those students all answer, "yes", then while the statement isn't false, it is not representative or accurate of the true populations. I am interested in Spiegehalter's answer because, within the first few minutes of his interview, he discussed how statistics can be misconstrued depending on specific wording and understanding of the statement.