different sectors and stocks, because that's usually the status quo. So if you can prove through your research that these forecasts are going to be wrong, and I'm talking about to the upside or the downside, that's how you make huge returns. Because by doing that, it means this data, right, if your research is correct, it's not being priced into the market. So a good example of that was say in February 2020, when I was reading the research channels, this is why I became more and more bearish, because I felt like people weren't seeing what I was seeing and what I was hearing through amazing contacts and interviewing people in China and Italy. And again, this is before the markets crashed, right, because they were close to COVID. So everyone thought it was going to be quick downside followed by strong rebound. And when I say quick downside, it was Goldman and Morgan Stanley predicting a quarter, one quarter of weakness, they were comparing it to other past pandemics. And this turned out (2/35)