However, the mainstream media uses the press tactic of ‘burying the lede’ by focusing on political leaders or corporate use of loopholes to the exclusion of a more serious underlying problem: the billions of dollars that the 1% do not pay in taxes so that we bear the burden of maintaining the upkeep of the country and it’s growing debt. Of course, everybody hates paying taxes. The super wealthy are no different in attitude, only in means. They can afford the ways to avoid paying taxes. In 2012, the Tax Justice Network estimated that between $21 trillion and $32 trillion — the size of the U.S. and Japanese economies combined — was hidden in secrecy jurisdictions. If the tax evaded by wealthy individuals was collected, it would likely cover most of the annual deficit in each of the G7 countries.
It turns out that a large portion of real-world problems have the property that it is significantly easier to collect the data than to explicitly write the program. A large portion of programmers of tomorrow do not maintain complex software repositories, write intricate programs, or analyze their running times. They collect, clean, manipulate, label, analyze and visualize data that feeds neural networks.