Machine Learning Is Not Just for Social Media and Content Suggestion

I think the problem is that as machine learning becomes more widespread and more accessible, we can make some massive blupers. The impact on the data itself isn't something modelled or taken into account of for any supervised learning approach. And you see that with social media and content suggestion augarithms. So they are trained using supervised learning to maximise clickthrogh and then they're deployed. But then the content that they suggest to the people in turn changes people's views and behavior. And then the process is repeated again. I guess the antithesis to judea pearl's point of view might be, forget about all that. Let's just give as much money as we