I'm rather new to statistics. I'm learning on my own and I'm trying to understand confidence levels. I read, "How Confident Do You Need to be in Your Research?" by Jeff Sauro, Ph.D., 5 Jan 2015, and in it he states:
if you find that there’s little or no downside to being wrong, and if you have to pick among poor alternatives, 51% confidence is at least better than flipping a coin.
This seems to imply that 50% confidence is equal to flipping a coin, but I disagree. My logic is that flipping a fair coin has 0% confidence it will land on heads, this means there's an equal chance it could land on heads, you have 0 conjecture WHICH it will be. A situation with 50% confidence would be like a "loaded"(??) coin that WILL land on heads 50% of the time. The other 50% of the time the coin has an equal chance of landing on heads or tails. I'm clearly incorrect in this thinking and must be confused about what confidence level measures, but am unable to grasp it.
How is a 50% confidence level like flipping a coin? Would it have something to do with confidence interval width?