Sectional M3P Maps : Remote Viewing

1. Intent, Physiology, Information Processing

1.1. Data Framentation and Integration

1.2. Space-time and EM shielding Independence

1.3. Error Propagation

1.4. Non-deterministic

1.5. Error-correcting features

1.6. Space-time independence

1.7. Bonding and spontaneous/enhanced ESP

1.8. Operator-specific filters

1.9. Role of belief/expectation

1.10. Target Characteristics

1.11. Precognitive Perception

1.12. Environmental Factors

1.13. Physiological correlates

1.14. Entrainment Lag Time

2. Methodologies

2.1. Coordinate RV

2.2. Extended RV

2.3. HRVG Protocol

2.4. Associative RV

3. Other bibliographies by map author

3.1. Patrizio Tressoldi

4. Applications

4.1. Forensics

4.2. Diagnostic Tools

4.3. Scientific Insight

4.4. Archaeology

4.5. Industrial Applications

4.6. Associative RV

5. Questions

5.1. Physics Modeling

5.1.1. Data fragmentation and other features

5.1.2. RV entanglement mechanisms: computing across conscious networks

5.1.3. What is the impact of feedback and other RV network nodes on viewer's data? Modeling feedback and displacement, observer effects.

5.1.4. Masking and Entrainment: entangled wave functions?

5.1.5. Computing across conscious networks: error correction, propagation and target fingerprinting

6. Data Analysis

6.1. Rank-order judging

6.2. Descriptor grids

6.3. Fuzzy-set approach

6.4. HRVG Traffic Analysis

6.5. Associative RV

7. Library and Data Sources: Remote Viewing Studies