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20th century physicist Richard Feynman invented a method for calculating probabilities of particle interactions, depicting all possible ways they could occur.
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Some of these “Feynman diagrams” were included in this honorary USPS stamp.
 
Some posts become like dangling participles (or unintentional humor) in their incompleteness.

Here is an example:
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This version of the above technology, and its 4 predecessors, changed (and/or revolutionized) the world, as we know it!
For some, this silent tech also created a variety of long term, fascinating and lucrative professional careers.
:p
 
Some posts become like dangling participles (or unintentional humor) in their incompleteness.
Didn't work!:facepalm:
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Although they were wrongly named, the 10-rotor "Ultimate" version's current auction-bid is over USD$320,000.
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It may have been something that baffled understanding but could be explained.
:oops:
 
It really is not 'random' (as originally requested) but share; I will:
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Brian 2, an intuitive and efficient neural simulator - Case study 4: Neural pitch processing with real-time input.
(a) Model schematic: Audio input is converted into spikes and fed into a population of coincidence-detection neurons via two pathways, one instantaneous, that is without any delay (top), and one with incremental delays (bottom). Each neuron therefore receives the spikes resulting from the audio signal twice, with different temporal shifts between the two. The inverse of this shift determines the preferred frequency of the neuron. (b) Simulation results for a sample run of the simulation code(C++). Top: Raw sound input (a rising sequence of tones – C, E, G, C – played on a synthesised flute). Middle: Spectrogram of the sound input. Bottom: Raster plot of the spiking response of receiving neurons (group neurons in the code), ordered by their preferred frequency.

[aka; Your brain on music!]
 
Ref. #1,009 on my project thread.
High-Res (2106 x 3077 pixel) .png image of this diagram is in the ZIP file attached.
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Gyro left technics 1200 G right
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Is there anybody here who could resist doing some sort of regression analysis on a dataset like this?
:cool:

Eyeballin' does show some inverse correlation between price and "speed deviation", which I wouldn't necessarily have expected. You know how that audiophile thing goes...
I'd have expected some positive correlation for (peak) wow & flutter vs. price tag... but, again, using the interocular method*, I'm not feelin' it. :p

_____________
* As my post-doc advisor liked to say; i.e., "Whatever hits you right between the eyes when you look at the graph." :)
 
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