This simulates A/B tests where B turns out to be no better (= A/A tests). Any measured difference is due to pure chance, based on your actual site stats.
By running this many times, you can better understand how much your A/B test will be influenced by pure chance. Then you can run your real tests for a duration that minimizes false results to the level you want.