The Causal Chain feature in BioCoherence provides a comprehensive way to analyze the interconnections between different biomarkers, allowing users to identify the root causes of imbalances and determine the most effective interventions. Unlike previous methods that only displayed relationships within the same category (e.g., organs linked to other organs), the Causal Chain expands this analysis to include all biomarker categories, such as meridians, chakras, atoms, pathogens, and more.This feature enables users to:
- Identify the underlying causes of imbalances.
- Determine which biomarkers are in resonance with each other.
- Find the best helpers to restore balance.
- Build a customized priority list for harmonization.
Accessing the Causal Chain
To access the Causal Chain:
- Open an analysis and navigate to the Biomarkers section.
- Select a biomarker of interest (e.g., an organ, meridian, or drive).
- Click on the Causal Chain submenu, under the Relations menu.
This will open a new interface displaying all biomarkers that are in resonance with the selected biomarker.
Understanding the Causal Chain Interface
The Causal Chain interface presents a network map of interconnected biomarkers. Key elements include:
1. Central Biomarker
- The biomarker you selected is placed at the center of the map.
- All other biomarkers that resonate with it are displayed around it.
- You can click on any biomarker around to place it in the center and recompute around it.
2. Resonating Biomarkers
- Only biomarkers that are currently in resonance with the central biomarker are shown.
- These are categorized into different groups, such as organs, meridians, chakras, atoms, pathogens, and more. The groups are displayed on the bottom of the screen. Click on a group name to show the related biomarkers. Each group can show one or two numbers:
- always, the number of related biomarkers in this group
- only if there are, in a white circle: the number of large links (best helpers) in this group.
3. Relationship Strength
Each connection between biomarkers is color-coded:
- Large link (white, green or blue): Best helpers, with the strongest resonance and most capable of helping (best improvements in energy, agitation and quality)
- Green: Positive influence towards the central biomarker (e.g., increasing energy, reducing entropy).
- Blue: The central biomarker sends energy towards it.
- Fine links indicate specific relationships related to attention, intention and horizon. The legend on top shows their signification.
4. Energy and Entropy Mapping
- The biomarkers are positioned on a graphical map based on Energy levels (low to high) and Agitation (entropy) (low to high), in the same way as the petals are organised on the flower.
- This allows users to visually assess which biomarkers are contributing to stability or imbalance.
5. Filtering and Best Helpers
Users can filter the displayed biomarkers based on specific qualities:
- Increases attention
- Increases intention
- Increases horizon
- Aligns with main cycles
- Best helpers (biomarkers that provide the most beneficial influence)
6. Navigation and History
- Clicking on any biomarker will center it in the analysis, allowing users to explore its own causal chain.
- A history panel tracks the path of exploration, allowing users to return to previous biomarkers.
- Users can navigate back to the original biomarker or explore deeper into related biomarkers.
Detailed guide: using the Causal Chain for analysis
Step 1: Identify the Root Cause
- Start with a biomarker that appears in the Priorities list.
- Open the Causal Chain to see which biomarkers are influencing it.
Step 2: Find the Best Helpers
- Use the Best Helpers filter to identify biomarkers that can positively influence the central biomarker.
- Look for green connections, as these indicate the strongest beneficial relationships towards it.
- Blue connections can indicate other elements helped by this biomarker and taking energy from it, thus revealing causal links that can explain current states.
Step 3: Build a Custom Priority List
- Click on a biomarker and add it to the Priorities list.
- Continue exploring related biomarkers and adding relevant ones to the list.
- This ensures that the harmonization process addresses not just the symptom but also the underlying causes.
Step 4: Apply the Findings
- Use the Harmonic Boost feature to play the selected frequencies.
- If applicable, integrate TCM points, organs, meridians, or atoms into the harmonization process.
- Improve the Harmonic Boost by adding selected protocols on top of each biomarker.
- Monitor progress over multiple sessions to track improvements.
Example Use Case
Scenario: Addressing Lung Imbalance
- Select the Lung from the Priorities list.
- Open the Causal Chain to see related biomarkers.
- Identify best helpers: for instance, Organs: Stomach, Liver - Meridians: Kidney, Bladder - Atoms: Tantalum, Osmium - Drives: Lack of trust, Hypersensitivity
- Add the most relevant biomarkers to the Priorities list.
- Play the harmonization frequencies (Harmonic Boost) and programs (Personal Guide), and track progress over time.
Benefits of the Causal Chain
- Holistic Analysis: Provides a complete view of interconnections between different biomarkers.
- Personalized Approach: Tailors harmonization to the individual's unique energetic state, and allows to start from a particular symptom of complain and find the relevant causal chain items.
- Deeper Insights: Helps practitioners and users understand the underlying causes of imbalances.
- Efficient Prioritization: Focuses on the most impactful biomarkers for faster results.
The Causal Chain is a powerful tool in BioCoherence that enhances the ability to analyze and address imbalances at a deeper level. By mapping out the relationships between biomarkers and identifying the best helpers, users can create highly effective Harmonic Boost and Personal Guide programs tailored to their specific needs.
