The Imaginary Channel Reframed — Host-Coupled Bias, Not an “Ideal Outcome”

Standing conventions. Keep P>0, drop γ, keep the steering angle α, and compute the imaginary channel from unnormalized idea weights. Felt magnitude uses |E|; steering uses α.

1) The denominator and what the imaginary number really is

Expectation lives in the denominator and has a real and an imaginary channel:

E=P+iI, P>0

We correct an old simplification: I is not an “ideal outcome.” It is the host-indexed coherent bias of the idea ensemble at this moment. For a given actualizer (host) at time t:

I discrete sum

If you prefer the continuum view (infinitely many ideas), the same quantity is the sine moment of a host-specific density:

I integral

Cancellation. Pairwise balance kills the imaginary channel because sin(θ+π)=−sin(θ). If the host’s coupling is symmetric (for every θ there is equal weight at θ+π), then:

symmetry implies I=0

2) What grows the imaginary number (and what doesn’t)

  • Not this: “More ideas” alone. A huge, balanced crowd still gives I≈0.
  • Yes, this: biased coupling. When one band of angles (often near ±90°) carries disproportionate weight, the sine moment stops canceling and |I| can become large.
  • Why unnormalized weights: we do not force the weights to sum to 1. Aligned mass scales I naturally.

3) How the imaginary channel affects what you feel

The left-hand side never sees E directly; it feels aperture and steering:

|E|, r, S, alpha
  • Aperture (r) tightens as |I| grows (or as P grows). That’s contraction.
  • Steering (α) tilts with I/P; sign(I) picks direction, magnitude tightens via |E|.

4) Reinterpreting old numbers (e.g., “5.29”)

Previously, a number like 5.29 on the imaginary axis was treated as an “ideal outcome.” In the corrected model,

I=5.29 meaning

—a momentary, host-specific net bias. It says nothing about which idea; it tells you the host’s coupling cohered enough to push the sine moment to 5.29 right now.

5) Why big imaginary values are rare but possible

Because weights are unnormalized, |I| can be large when many couplings align; but three unconscious brakes make persistence hard:

  1. Finite coupling capacity: weights leak and jitter over time (no agency needed), so surges decay.
  2. Autoguide scanning: with hands off, the tube drifts, pulling α toward small values on average.
  3. Adaptation: staying on one band reduces marginal response to that band (habituation).

6) Practical intuition: abundant variety vs engineered dwell

  • Abundant variety: many small, spread-out weights ⇒ near-parity ⇒ I≈0. You scroll; the view breathes.
  • Engineered dwell: mechanisms that keep you in one band (franchise, paywall, hype) ⇒ weights concentrate ⇒ |I| rises; aperture tightens.

7) Small numeric snapshots

Balanced day. P=10, I≈0. If A wanders 8–12, then r=A/|E|≈A/10; S crosses 1 often (breath).

Dominance episode. One band captures raw weight 20 (set κI=1), so I≈20 and P=10:

dominance numbers

If A=10, then r≈10/22.36≈0.45 (tight, idea-led). Without manual holding, the brakes above relax it.


Cheat-sheet equations (WordPress-safe, SVG)

E=P+iI again
I sum again
I integral again
|E| r S alpha again
symmetry again

Bottom line. The imaginary component of the denominator is the sine-moment sum of host couplings across infinitely many ideas. It is not an ideal target value. It grows only when a few bands accumulate disproportionate weight; otherwise, diametric parity keeps it near zero and the view breathes.

Author: John Rector

John Rector is the co-founder of E2open, acquired in May 2025 for $2.1 billion. Building on that success, he co-founded Charleston AI (ai-chs.com), an organization dedicated to helping individuals and businesses in the Charleston, South Carolina area understand and apply artificial intelligence. Through Charleston AI, John offers education programs, professional services, and systems integration designed to make AI practical, accessible, and transformative. Living in Charleston, he is committed to strengthening his local community while shaping how AI impacts the future of education, work, and everyday life.

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