Book 3

# 1: Rules of Reasoning

Book 1 laid down the principles of mathematical philosophy. This will be the basis of our reasonings on philosophical inquiries.

These mathematical principles are the laws and conditions of certain motions and forces. I use them to build a system of the universe.

To prevent them from being dry and barren, I have illustrated them here with some philosophical scholiums, such as:

• the density and the resistance of bodies
• spaces void of all bodies and
• the motion of light and sounds.

I explain the principles as propositions. Readers should go through Books 1 and 2 first, specifically:

• the definitions
• laws of motion
• sections 1-3 of Book 1

## Rules Of Reasoning

### Rule 2: The same natural effects come from the same natural causes

• Respiration is the same for humans and animals
• The light of our stove fire is the same as the light of the sun

### Rule 3(!*): Universal qualities are those which are common to all the bodies which we experiment with

The qualities of bodies are only known to us by experiments. We deem universal all those qualities that universally agree with experiments.

We will not relinquish the evidence of experiments for the sake of vain fictions.

We can only know bodies than by our senses..

*Superphysics Note: Newton bases perception-effects on the immediate senses. This leads to causes which are limited to the 3 layers instead of all 5 layers since 2 of the upper layers are sensed by feelings instead of the eyes.

### Rule 4*: Induction from Phenomena over Imaginary Hypothesis

Our experiments, must be based on propositions collected by general induction from phenomena as accurately or very nearly true, despite any contrary imaginary hypotheses, until these are corrected by other phenomena. The argument of induction cannot evaded by hypotheses.

*Superhysics Note: Superphysics improves Physics-inductions by getting the general inductions from the feelings noted throughout history which may have escaped most people who have a limited view. These are then put into experiments to create new principles. We use data science instead of math to improve the quality of inductions, as well as aid in the expriments, since the brain can only process a limited data set

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