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Math is important

on Tue Jun 05, 2018 12:47 am
Think clearly. See it as it is. See it's true nature.

Medicine is waiting for us to resolve it. We could cure humanity of all it's illnesses if only we could see behind it's mysteries.
What lies between us and healing? A deep - complete - understanding of the what is going on during the whole process of an illness: the creation of a virus, it's development of it's characteristics, it's infection upon a host, it's spread across several hosts, it's infection inside the host, covering the host.
Well, one day we are going to have our solution. Before that day, the necessary preliminary work must be done. There is no way around it.
Without knowledge, no insight. Without insight, no cure. And without preliminary work, no knowledge.

We need a global database of all the different producers of illnesses. We need to catalogue everything. Grid computing is already put to use. We need it. Only computers have the computational strength and speed to crunch all the data involved. Sadly, whenever a computer is doing a piece of work, human thought and insight must have happened before.
There can be no contribution by any machine without preliminary human insight.
We need to do the work. Computers are necessary, but only on a part of the work that comes after our work. My first guess is still, that the contribution made by machine will be important. As a simple justification, take the machines astronomous advantage over men on the field of computation.

Where are we with our insights? How can we insight faster? Better? Deeper? Whenever you desire an insight, make a visual map. Make it visual.

How do we deal with complexity? By splitting it up of course. But how can we understand the nature of something without dissecting it first?
See, if we could foresee the nature - that is the structure - of ill-makers before having the analyse them in depth, see...we could jump right to the cure.

Or implant an alternative immune system? The underlying task is the same. Without understanding ill-makers, we cannot build a useful immune system. No cure without knowing the ill.
Where should we start? At first, as said, we need insight into what is an ill-maker. From there, we shall proceed with generalizations about the general structure of all ill-makers. This statement is made with understanding that there is an enormous complexity of different structures. So, certainly, generalizations are difficult to make, are on a thin edge. Certainly, we could easily generalize wrong ideas.

We need facts first.
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