Not quite. If you read the latter paragraph closely, you would note that an ensemble of stronger models performs better than a multitude of dumb models. Then

Not quite. If you read the latter paragraph closely, you would note that an ensemble of stronger models performs better than a multitude of dumb models. Then there is a problem that an ensemble of biased classifiers (mostly in the same ditection in this case - positivity bias) will magnify the bias. This is a reason why metaanalyses have to get at the actual raw data to pool and analyse as well as correct for multiple biases. Even then the process is not perfect.