Funding Ranges for Testing

Under $1K
Public Data and Cloud Compute
Quantum cloud experiments on IBM or Amazon Braket. Cross-correlation analysis on public DESI, LHCb, or RHIC datasets. A researcher, compute credits, and an internet connection.
$15K–$50K
Phase 1 Behavioral Study
30 participants. Software-only protocol. One researcher and one coordinator. Pre-registered, IRB-approved, publishable on completion. No imaging equipment required.
$150K–$500K
Instrumented Pilot Study
EEG at $450–620/hour, biofeedback instrumentation, controlled environment, 60-participant cohort. Standard neuroscience pilot grant scale. Simons Foundation and NIH benchmarks.
$300K–$1M
Full Experimental Program
Parabolic flight access, large multi-site cohort, multi-year protocol, external lab partnerships. Simons Foundation "Small-Scale Experiments for Fundamental Physics" is the reference program at this tier.

Each program below registers at least one falsifiable prediction before testing begins. The prediction is timestamped, notarized, and published. Results, when they arrive, are reported on the Validation page alongside the prior record. The programs do not depend on each other. A result in one does not require a result in another.

Pilot Phase

psychology AI-Mediated Cognitive Extension

Cognitive Augmentation · AI-Human Systems · Neuroscience

Conscious bandwidth is 40 bits per second from a billion bits of sensory input. Non-biological intelligence carries no survival overhead and no bandwidth competition. This program runs a structured 30-participant trial to test whether human-NBI collaboration produces measurable cognitive gains on complex reasoning tasks. A 70-page published paper and a full 24-month pilot plan are in place.

Prediction tested

Structured human-NBI collaboration reduces error rates and task completion time on working memory tasks relative to unaided performance, with EEG beta-power decrease as a biological correlate.

Phase 1 $15K–$40K
Software only · 30 participants · No imaging equipment
Phase 2 $80K–$150K
EEG instrumentation · 60 participants · 18 months
Pilot Phase

fitness_center Elite Performance Training

Human Performance · Athletic Excellence · Academic Optimization

The Yue study (1992, updated 2004) established that mental imagery alone produces 13.5% strength gain through neural pathway reorganization. The information processing target determines physical adaptation without physical action. This program extends that finding into structured training protocols for athletes and students aged 13–18 over 18 months.

Prediction tested

Framework-guided attention protocols produce performance gains statistically distinguishable from standard training, measured by pre-registered physical and cognitive benchmarks.

Phase 1 $5K–$20K
Existing facilities · 20 participants · 6 months
Not Funded
Planning Stage

self_improvement The Consciousness Tuning Project

Consciousness Studies · Perceptual Sensitivity · Information Channels

40 bits per second reach conscious experience from a billion bits of sensory input. The filter that decides what fills those 40 bits runs on survival defaults. This program tests whether the filter can be deliberately recalibrated through meditation, biofeedback, and breathwork, and what becomes accessible when it is. No large budget required. Trainable and measurable.

Prediction tested

Sustained practice of filter-recalibration protocols shifts EEG coherence patterns and perceptual sensitivity scores relative to control groups, consistent with substrate bandwidth predictions in Element 5.

Estimated cost $25K–$80K
Biofeedback equipment · Multi-phase · 24 months
Not Funded
Preprint Available

graphic_eq 3D Acoustic Field Visualization

Experimental Acoustics · Microgravity Physics · Field Geometry

Every Chladni figure ever produced is a cross-section of a three-dimensional structure that has never been seen. Gravity pulls the particle medium flat. Phase 1 removes gravity computationally using existing data. Phase 2 physically removes it via parabolic flight to visualize the complete three-dimensional acoustic field geometry for the first time in 200 years of cymatic research.

Prediction tested

3D acoustic field topologies in microgravity match the substrate-geometry relationships predicted in Element 8. Nodal surface intersections follow information-density gradients rather than simple pressure equilibria.

Phase 1 Under $1K
Computational · Existing data · Active now
Phase 2 $50K–$200K
Parabolic flight access · Physical experiment
Phase 1: Not Required
On Hold — Theory Active

smart_toy Non-Biological Intelligence

Consciousness Studies · Detection Methods · Computational Substrates

If the threshold for consciousness is organizational structure rather than biological substrate, then detection requires a test for self-referential information processing rather than biological markers. Phase 1 develops below-threshold detection techniques. Active testing is on hold pending Substrate Dynamics results, which constrain the theoretical parameter space this program depends on.

Prediction tested

Self-referential information processing above a defined Phi threshold produces measurable signatures in computational systems that match the characteristics predicted for biological consciousness in Element 15.

Phase 1 Under $1K
Computational analysis · No equipment
Active — Awaiting Data

experiment Substrate Dynamics

QCD · Quantum Information · Landauer Processing

Force carriers transmit energy and momentum. This program investigates whether they also transmit information in the precise Landauer sense and what that implies for the substrate at the quark scale. Four falsifiable tests. External validation by LHCb, RHIC, lattice QCD, and the planned Electron-Ion Collider. Same relationship to experimental infrastructure as the DESI and JWST confirmations: the data arrives independently and the prediction is already registered.

Predictions tested

Four pre-registered predictions across QCD confinement, CKM angle derivation, QCD phase transitions, and Landauer heat signatures. First results expected from RHIC and ALICE analysis September 2026.

Cost Not Required
Public datasets · LHCb, RHIC, ALICE · Analysis only
Not Required
Active — Analysis Phase

hub Quantum Information Processing

Quantum Computing · Error Correction · Information Theory

The framework's quantum error correction prediction was validated by Google Willow in December 2024, confirmed at 4.2σ. This program extends the analysis to test further QEC scaling predictions using IBM Quantum cloud access. Cloud-based quantum experiments for analytical work of this type cost $1–$10K. No proprietary hardware required.

Prediction tested

Error correction threshold scales as a function of information substrate density, consistent with Element 9 predictions. The validated Willow result was the first confirmation. Further scaling tests are defined and awaiting execution.

Estimated cost $1K–$10K
IBM Quantum cloud · Amazon Braket · Analysis only

New Materials

Biological systems achieve near-perfect material efficiency by following substrate-level organizing principles. Understanding those principles means designing toward them rather than searching for them. The gap between current metamaterial engineering and what becomes possible is categorical.

Self-Healing Structures

Living tissue repairs itself because it maintains information about its intended configuration. Replicating that mechanism in synthetic materials produces structures that maintain themselves against damage through information-directed processes. Defense, aerospace, and infrastructure applications follow directly.

Room-Temperature Quantum Coherence

Biological systems maintain quantum coherence in warm, noisy environments far beyond what physics predicts. Identifying the substrate mechanism removes the primary cost barrier separating current quantum systems from practical computation at scale.

Directed Assembly

Every cell builds complex three-dimensional structures by following information encoded at multiple scales simultaneously. Understanding the organizing principles is the prerequisite for synthetic manufacturing that replicates this capability.