The late lamented Carl Sagan wrote a useful set of rules which one could call a bull***t or Baloney Detection kit. I think it is worth posting this here since it is at least as relevant now as when it was written.
If you want to test something then the following are a good way to set about it.
# Wherever possible there must be independent confirmation of the facts
# Encourage substantive debate on the evidence by knowledgeable proponents of all points of view.
# Arguments from authority carry little weight (in science there are no "authorities").
# Spin more than one hypothesis - don't simply run with the first idea that caught your fancy.
# Try not to get overly attached to a hypothesis just because it's yours.
# Quantify, wherever possible. Numbers not opinions or guesses.
# If there is a chain of argument every link in the chain must work.
# "Occam's razor" - if there are two hypothesis that explain the data equally well, choose the simpler.
# Ask whether the hypothesis can, at least in principle, be falsified (shown to be false by some unambiguous test). In other words, it is testable? Can others duplicate the experiment and get the same result?
When considered with the list of fallacies that I posted some time ago, this is a powerful tool to keep you on the straight and narrow.
Regards
Chris
If you want to test something then the following are a good way to set about it.
# Wherever possible there must be independent confirmation of the facts
# Encourage substantive debate on the evidence by knowledgeable proponents of all points of view.
# Arguments from authority carry little weight (in science there are no "authorities").
# Spin more than one hypothesis - don't simply run with the first idea that caught your fancy.
# Try not to get overly attached to a hypothesis just because it's yours.
# Quantify, wherever possible. Numbers not opinions or guesses.
# If there is a chain of argument every link in the chain must work.
# "Occam's razor" - if there are two hypothesis that explain the data equally well, choose the simpler.
# Ask whether the hypothesis can, at least in principle, be falsified (shown to be false by some unambiguous test). In other words, it is testable? Can others duplicate the experiment and get the same result?
When considered with the list of fallacies that I posted some time ago, this is a powerful tool to keep you on the straight and narrow.
Regards
Chris
