More over, they have a bit of a raid 0 problem. There more studies you include, the greater the chance you'll get a bad one. If you look at where these meta-an

More over, they have a bit of a raid 0 problem. There more studies you include, the greater the chance you'll get a bad one. If you look at where these meta-analyses often fail, you'll often see just a few "Bad" studies that end up corrupting their results. You'd think the statistical tools they bring to bear in these would be resistant to this, but it appears to not be the case in several recent cases.