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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

Closing probability

Uses a logistic mapping of solution fit, trust and value, with friction subtracted.

MADDIE conversion framework / detailed postersource graphic; not an execution result
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poster-eq-99dc7bd4e3b730mathematical expression
Pc=1/[1+e−(αS+βT+γV−δF)]P_c = 1 / [1 + e^{−(αS + βT + γV − δF)}]

Read the equation

Uses a logistic mapping of solution fit, trust and value, with friction subtracted.

Its role in the build

The MADDIE Equation — Client Conversion Formula

Terms & definitions

TermMeaning in this source
P_c

Closing probability. S is solution fit, T trust, V value, and F friction.

How it works

  1. Read P_c as the quantity being defined or updated by this relation.

  2. Applies an exponential factor. The exponent determines its real scaling or, for a complex exponent, its phase.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

  • S = Solution Fit; T = Trust; V = Value; F = Friction.

  • The coefficients α, β, γ, δ are displayed but not estimated or defined numerically.

Original context

Read the surrounding source passage
The MADDIE Equation — Client Conversion Formula: Uses a logistic mapping of solution fit, trust and value, with friction subtracted.
Exact original notation
P_c = 1 / [1 + e^{−(αS + βT + γV − δF)}]

Related builds

Sources & provenance

01
The Maddie Equation: Client Conversion Formula.png
Bottom strip CLOSING PROBABILITY (P_c); verified transcript lines 112–119 · Jul 15, 2026
P_c = 1 / [1 + e^{−(αS + βT + γV − δF)}]

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