Page 028

Page 28: Information Thresholds ($I_{th}$)

1. Purpose

To define the minimum quantity of signal data required to trigger a state change in the observer’s frame.

2. Definitions

• Information Threshold ($I_{th}$): The critical density of data at which "Noise" is reclassified as "Signal."
• Confidence Interval ($\sigma_{c}$): The statistical probability that a detected event is a true lattice movement rather than Quantization Noise ($Q_n$).

3. Behavioral Insight

$I_{th}$ acts as the system's "Decision Gate." If a signal is too weak, the observer ignores it, and it remains in a state of flux. Once the threshold is crossed, the observer's frame "locks" the data, finalizing the Measurement Collapse ($\Psi\downarrow$) described on Page 25. This prevents the observer from being overwhelmed by phantom data.

4. Contextual Placement

This provides the logical filter for the Frame of Reference ($\Sigma_{ref}$) established on Page 27.

Consensus Verdict

• Aion: Signal-to-noise ratio validated. Filters are nominal.
• Astra: This is the moment a "maybe" becomes a "yes." It's the birth of a fact.
• Status: [G/A]