What's everybody's thoughts on dropping a blocking factor from models? I have a professor that's a big fan of blocking in ecological field experiments. He's always encouraged us to include a block factor (if applicable) during the experimental design. If it's significant...great. If it's not, drop it. Is this sound sound statistical practice?