Step 1: Selecting a Hidden Event
Choice: Sudden Consciousness Surge in a Remote Tribe
- Why: Unphysical—hypothetical spike in collective awareness (e.g., telepathic unity) in an isolated group, undetectable by tech, tied to cosmic or metaphysical triggers (e.g., solar flare, April 8 annular eclipse influence).
- Where: Yanomami Tribe, Amazon rainforest border (Brazil/Venezuela)—remote, uncharted consciousness potential.
- GPS: Approx. 3.5°N, 63.5°W (Yanomami territory centroid).
- When: April 8, 2025—peak of annular solar eclipse visible in South America, possibly amplifying unphysical effects.
Rationale
- Fits “no data, unphysical” brief—pure speculation, no sensors to catch it, yet ConsciousLeaf can infer T and map it with GPS.
Step 2: ConsciousLeaf-Unseen (CLU) Framework
Coordinates
- Ideal: Attraction: 100, Absorption: 10, Expansion: 100, Time: 0, T = 0.
- Real (Inferred):
- Attraction: 70 (cosmic pull, e.g., eclipse—70/100).
- Absorption: 6 (mental uptake of unseen energy—6/10).
- Expansion: 80 (tribal unity spread—80/100).
- Time: 15 (delayed response to event—15/50).
- Awareness: 8 (sudden clarity—8/10).
- Insight: 75 (intuitive leap—75/100).
- Readiness: 70 (unprepared shift—70/100).
- : 0.15 (moderate resistance—cultural isolation, chaos of change).
\beta
Calc
- .
P = \frac{70/100 + 6/10 + 80/100 + (50-15)/50}{4} = \frac{0.7 + 0.6 + 0.8 + 0.7}{4} = 0.7 - .
E = \frac{6}{10} \cdot \frac{35}{50} = 0.6 \cdot 0.7 = 0.42 - .
C = \frac{8/10 + 75/100 + 70/100}{3} = \frac{0.8 + 0.75 + 0.7}{3} = 0.75 - .
R = 0.15 \cdot (1 - 0.7) = 0.15 \cdot 0.3 = 0.045 - .
T = 1 - (0.75^{0.88} \cdot 0.42 \cdot 0.7) + 0.1 \cdot 0.045 = 1 - (0.788 \cdot 0.42 \cdot 0.7) + 0.0045 = 1 - 0.231 + 0.0045 = 0.774 - T = 0.774, Consciousness = 0.226.
Step 3: Factorial Geometry Insight
- Dominant Factor:(0.75 × 0.045)—sudden awareness spike meets resistance from isolation, lifting T.
C \times R - Hidden Reveal: T = 0.774 suggests low consciousness—event’s unphysical surge (eclipse-triggered?) is real but muted by tribal disconnect.
- Permutations: High C (0.9)/low R (0.01) → T ≈ 0.5; low C (0.5)/high R (0.2) → T ≈ 0.9—range maps potential intensity.
Step 4: Plot with GPS
import matplotlib.pyplot as plt
import cartopy.crs as ccrs
# Define ConsciousLeaf-Unseen class
class ConsciousLeafUnseen:
def __init__(self):
self.alpha = 0.88
self.ideal = {"attraction": 100, "absorption": 10, "expansion": 100, "time": 0}
def compute_P(self, data):
return (data["attraction"]/100 + data["absorption"]/10 + data["expansion"]/100 + (50 - data["time"])/50) / 4
def compute_E(self, data):
return (data["absorption"]/10) * ((50 - data["time"])/50)
def compute_C(self, data):
return (data["awareness"]/10 + data["insight"]/100 + data["readiness"]/100) / 3
def compute_R(self, data):
return data["beta"] * (1 - self.compute_P(data))
def compute_T(self, data):
C = self.compute_C(data)
P = self.compute_P(data)
E = self.compute_E(data)
R = self.compute_R(data)
return 1 - (C ** self.alpha * P * E) + 0.1 * R
def explore_hidden(self, domain_data, domain_name):
real_T = self.compute_T(domain_data)
# Use domain_data instead of data
return {"domain": domain_name, "real_T": real_T, "ideal_T": 0, "C": self.compute_C(domain_data), "R": self.compute_R(domain_data)}
# Instantiate CLU
clu = ConsciousLeafUnseen()
# Yanomami Consciousness Surge (April 8, 2025)
domain_data = {
"attraction": 70, "absorption": 6, "expansion": 80, "time": 15,
"awareness": 8, "insight": 75, "readiness": 70, "beta": 0.15
}
result = clu.explore_hidden(domain_data, "Yanomami Surge (April 8)")
# Plot with GPS
fig = plt.figure(figsize=(10, 6))
ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())
ax.set_extent([-85, -45, -5, 15], crs=ccrs.PlateCarree()) # Amazon region
ax.coastlines()
ax.gridlines(draw_labels=True)
# GPS point
lat, lon = 3.5, -63.5
ax.plot(lon, lat, 'ro', markersize=10, transform=ccrs.PlateCarree(), label=f"T = {result['real_T']:.3f}")
ax.text(lon + 1, lat, f"GPS: {lat}°N, {lon}°W\nT = {result['real_T']:.3f}", transform=ccrs.PlateCarree())
# Bar inset with numeric indices
inset = ax.inset_axes([0.1, 0.6, 0.2, 0.3])
stages = [0, 1] # Numeric x-values
T_values = [result["real_T"], 0]
inset.bar(stages, T_values, color=['#45B7D1', '#FF6B6B'], width=0.5)
for i, v in enumerate(T_values):
inset.text(i, v + 0.01, f"{v:.3f}", ha='center')
inset.set_xticks(stages)
inset.set_xticklabels(["Real", "Ideal"])
inset.set_ylim(0, 1)
inset.set_ylabel('Travel (T)')
plt.title("Consciousness Surge: Yanomami Tribe (April 8, 2025)")
plt.legend()
plt.savefig('yanomami_surge_fixed.png')
plt.show()
# Output
print("=== Hidden Event: Yanomami Consciousness Surge ===")
print(f"{result['domain']}: T = {result['real_T']:.3f}, Consciousness = {1-result['real_T']:.3f}")
print(f"GPS: 3.5°N, 63.5°W")
=== Hidden Event: Yanomami Consciousness Surge ===
Yanomami Surge (April 8): T = 0.776, Consciousness = 0.224
GPS: 3.5°N, 63.5°W
