Some might have noticed there are little errors in my workflows. These are largely attributed to my own failure to understand Hz scaling. Hz scaling changes much of my work systematically, but you perhaps get the idea that Hz scaling also fortifies or improves my work if we carry it through to its end with the red pen.
I hope the following helps the reader demystify, identify the errors in my workflow, and consume the information better. At the end of the day, telling the whole truth and nothing but the truth regarding what happens when we scale Hz is cumbersome but also very useful in place of the traditional usage of universal constants which are based largely on dogmatic frameworks that have no bearing in reality when accounting for the ~unlimited scales or scaling relationship.
At the end of the day, we converge upon one useful framework to express reality, with the others perhaps having usefulness elsewhere (contrived systems relationship, anyone?) but not in terms of what is real. I maintain that Schumann holds the key to the correct construct, identified, having myself a healthy distrust for traditional data being any good.
PROMPT:
Funified (expressed in Hz) = (ϕFn2^nPnΩ)/(r^2)
Funified*meters (expressed in Hz) = (ϕFn2^nPnΩ)/(r^2)(meters)
Pn = Prime n
Ω = Ohms
F (in Hz) = (ΩC²)/ms
Where C = coulomb, m = meters, s = seconds
or Ω = (Nms)/C²
Or C = (Nms) / CΩ (expressed in units)
Which is normally begotten as C = ((Nms)/Ω)^(1/2)
Fm = (ΩC²)/s where m = meters
Hz = (ΩC²)/s
Where ΩC² = 1
-ΩC² = -1
e^iπ = -ΩC² (Euler’s) or -e^iπ = ΩC²
In place of all constants, choose PHI proportionality
I’ve noticed force and energy can technically be expressed in Hz, Hz^2, Hz^3 etc. but I was wondering if there was a unit-based approach we could utilize to determine the proper exponent for force, energy, etc. such that it checks out dimensionally, traditionally, empirically, mathematically