many variables and actors and institutions are interacting with each other, you simply cannot isolate cause and effect very cleanly. There are causes, of course, but those are not easily identifiable. As a result, you get into trouble. What happens really, you may identify something as cause, then very quickly you find out that is not the case. And you are seeing this with COVID-19 over last 14 months. We have attributed to many, many things as a causal condition. Then later on we found out that may not be. And we even found out there are all kinds of solutions starting from using bleach from our president. But these are all essentially just trying to relate some arbitrarily linked things and in a simplest case people would say that there are some correlation maybe. And you know it, the correlation is not causation, but that's, we say this is very cliche, we're not interested. We are fundamentally challenging this idea of cause and effect that you simply cannot identify cause and effect very cleanly as you can in some other cases. Even in the simplest case does rain cause flood. And one of you said yes yes does. In some in most cases it does but in many cases it will not. So think of really in Boston it was not raining for last several days. Now if it rains one inch there will be no flood because most of the water will essentially infiltrate and go to the ground. Now if it rains for three days in a row