Scientific Philosophy (921 words)

Philosophy – General

No matter what topic you want to discuss, there will always be a structure (hierarchy of values) within which this discussion takes place. The truth value of conclusions drawn are thus not independent of said structure.

Generally, observations are first made through the subject’s fundamental ideology, then interpreted through their values hierarchy. This is a parse metric which sorts the information in a manner which eventually leads the subject to be able to draw a conclusions about the original statement, such as whether it is “true” or “false”.

truth value ideology hierarchy.jpg

When discussing particular subjects, we often run into problems because people have different values hierarchies. Rather than obtaining a conclusion, most debates turn into a stalemate. This is why it is very important to be clear both on the definitions of words and values hierarchy. Let’s explore each step of the process in greater detail.


These are sensory impressions delivered by means of the body’s electro-chemical potentials which form the bridge between the body (massive) and soul (a light-like quantum computer).

Fundamental Ideologies

Observations are first interpreted/simplified/compressed by the fundamental ideology. Given the large amount of sensory data, our mind must condense the information it is first supplied with so it can make sense of what it is experiencing.

While not everyone has the same fundamental ideology, most will have a fundamental ideology connected to their primary sense organs sight/forms and hearing/sounds.

Let’s clarify this abstract notion by way of example.


Language: {vowel, consonant, tone, click}
ex: English = {(a,e,i,o,u,y), (b,c,d,f,g,h,j,k,l,m,n,p,q,r,s,t,v,w,x,y,z), ∅*, ∅}

*  denotes the null or empty set


Visualisations: {0,1,2,3…} (orders of complexity)
Linear: {point, line, plane, hyperplane…}
Geometric: {, point, line, triangle, square, pentagon…}
Quantum Mechanic: {point, sphere, torus, bisected ellipsoid / toroidal spiral, hypersphere…}

twirling black sphere
If it makes you feel any better, 99% of mainstream scientists don’t understand this stuff either.

While we could argue about which system was optimal as regards to parametrising a particular set (i.e.: the linear system is optimised for physical computers, the geometric system for physical buildings, the QM system for the consciousness…), it’s clear that we cannot associate a Truth value to any of these ideologies: they are unfalsifiable. (for example: English is “true”, as in: it exists. but then again so does French). Ideologies cannot usually be falsified, rather optimised.

We seek to optimise our fundamental ideologies in my religion. We achieve this by studying them and debating which is best.

Values Hierarchy

The Values Hierarchy is the structure demarcating what values are most important. Some examples of values include: religious scripture, truth, pandering (wanting to make everyone happy), identity, history.

quantum mechanic periodic table
My Primary Value is Truth

To summarise, observations are the measurements made by the mind/body. These are first interpreted by the fundamental ideology before being sorted by the values hierarchy. The end result of this sort process is the entity deciding a truth value for the original statement.

truth value ideology hierarchy

The complexity of the subjective experience highlights why it is very important to be clear both about the definitions of individual words (Sound Vectors) and ideologies (individual values hierarchy).

Types of Assertions

Falsifiable, Predictive: Limited scientific theory. These theories are useful for understanding causality in a partial manner. Once they are falsified, they must be abandoned (something the communists seem to have a hard time understanding).

Falsifiable, Unpredictive: These are false descriptions, such as: “you’re ugly”. Pretty much useless.

Unfalsifiable, Unpredictive: Trite theories, such as: “There is an invisible unicorn in the room”.

Unfalsifiable, Predictive: Complete scientific theory. These theories are useful for understanding the causality (the totality of all cause-effect relationships) of a particular system in a complete manner. For example, the Measurement Limit.

We generally run into problems when we use FP instead of UP theories. There can exist UP theories in psychology & philosophy (these subjects overlap in the domain of the Quantum Mind), but most people end up arguing in circles ad infinitum over minutia.

Optimising Ideology with Quantum Geometry

We cannot escape the need to parametrise all systems we are intent on describing. Because topographies vary, we must first and foremost parametrise a system within its particular configuration space (3+1 measurements per order of magnitude). Luckily, most systems don’t need to be parametrised exactly (with full formulaic representation) before we can make viable predictions about them. In any case, we begin by subdividing a system into what information is knowable and what is unknowable.

parse metric optimisation

Next, iterative/recursive optimisation is employed. Ideally, we want this process to be convergent, that is: the optimised version includes the original parse metric.

In order for a parse metric to be complete it must make all predictions within a particular system. Thus our optimisation process will involve either one or both of:

  1. Shrinking the domain of applicability
  2. Increasing the complexity of the parse metric

Applied Science Philosophy

It is not realistic to expect to find simple (low cardinality) parse metrics to expound causality of subjective phenomena. This is why people fight so much about the causality of race and culture: these parse metrics are often improperly defined / delineated and can’t help but create controversies.

Criticising an unfalsifiable parse metric without a viable alternative hypothesis is counter-productive. Presuming that an unfalsifiable, predictive parse metric is sufficient to transcend the causality of complex systems is naive. Only by studying the set of unfalsifiable parse metrics can we gain the intuition required to judge which parse metric is optimal for a given situation.

Examples of Unfalsifiable Predictive Parse Metrics

  1. The Fourfold Action model: {Gravity, Uncertainty, Electricity, Entropy}.
  2. Alpha / Beta (as human archetypes).
  3. The Logistic Equation (of which r-K selection theory is an instance).

2 thoughts on “Scientific Philosophy (921 words)

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