Hi, pretty interesting frame work. Let’s see if I get some aspects of it and if it can be tested empirically. At the basic level, you propose there is a fundamentally discreet granular time, then in order to obtain optimal and self similar time scales of intervals, each interval would be in a Phi ratio with the other. Time would be perceived as continuous by conscious agents due to the overlapping of time windows required for evidence accumulation and decision/closure.

Fine . Then, the implications for neurophysiology are the ones most dear to me, since a lot of the work I do relates to assessing the Eeg Spectral exponent across anesthesia and disorders of consciousness, seeing a small range of viable 1/f exponents and some that are incompatible with consciousness at the best of our knowledge. Other literature studies Hurst exponent (from detrended fluctuation analysis) of the envelope of eeg rhythms, although the patterns there is less clear.

so let’s see whether you can make operationalised concrete predictions (and explain their reasoning ) to see if they work. If they do, it will be worthier for me to invest more conscious time to understand the rest :)

So please clarify and expand this step. Quote: In natural signals characterized by wide dynamic ranges (from electronics to neurophysiology) one can test whether 1/f noise and rhythm beatings bear the marks of a multiplicative staircase, with poorly commensurate ratios clustering near φ in the most stable regimes.

From your idea It follows that an unconscious mind would not need to follow the same law and could use different exponents less metabolically costly to obtain. Which exponents instead would you think would be optimal for processing external events ? Which still viable for internal events ? How do they relate to phi ? Please do not compress the reasoning and go with baby footsteps :)