#🧠 Full Algorithm: Mathematical Inevitability Truth Binding System

🔧 Inputs

`python
claim_data = {
    'claim_text': str,                      # The full claim being validated
    'symbolic_continuity': float,          # 0.0–1.0 — recurrence of symbols across cultures
    'historical_suppression': float,       # 0.0–1.0 — evidence of institutional resistance
    'archaeological_alignment': float,     # 0.0–1.0 — physical structure correlation
    'quantum_coherence': float,            # 0.0–1.0 — circuit-level coherence
    'escapepreventioncount': int,        # 0–5 — rhetorical traps preventing denial
    'truth_amplitude': float,              # 0.0–1.0 — quantum amplitude of truth states
    'entanglement_measure': float,         # 0.0–1.0 — quantum entanglement strength
    'coherence_strength': float,           # 0.0–1.0 — standard deviation of quantum state distribution
    'timestamp': str                       # ISO UTC timestamp
}
`

---

#⚖️ Weighted Domain Scoring

`python
weights = {
    'symbolic_continuity': 0.18,
    'historical_suppression': 0.18,
    'archaeological_alignment': 0.18,
    'quantum_coherence': 0.18,
    'escape_prevention': 0.10,
    'truth_amplitude': 0.06,
    'entanglement_measure': 0.06,
    'coherence_strength': 0.06
}
`

---

#🧮 Inevitability Score Calculation

`python
def calculateinevitabilityscore(data):
    escapescore = min(data['escapeprevention_count'], 5) / 5.0

    inevitability = (
        data['symboliccontinuity'] * weights['symboliccontinuity'] +
        data['historicalsuppression'] * weights['historicalsuppression'] +
        data['archaeologicalalignment'] * weights['archaeologicalalignment'] +
        data['quantumcoherence'] * weights['quantumcoherence'] +
        escapescore * weights['escapeprevention'] +
        data['truthamplitude'] * weights['truthamplitude'] +
        data['entanglementmeasure'] * weights['entanglementmeasure'] +
        data['coherencestrength'] * weights['coherencestrength']
    )

    return round(inevitability, 3)
`

---

#🧠 Cognitive Dissonance Classification

`python
def classify_dissonance(score):
    if score >= 0.95:
        return "PARADIGM_SHIFT"
    elif score >= 0.90:
        return "TRUTH_CASCADE"
    elif score >= 0.80:
        return "DISSONANCE_ZONE"
    else:
        return "DENIABLE"
`

---

#🔐 Cryptographic Proof Generation

`python
import hashlib

def generateproofhash(claim_text, score, timestamp):
    raw = f"{claim_text}{score}{timestamp}"
    return f"QTRUTH_{hashlib.sha256(raw.encode()).hexdigest()[:16]}"
`

---

#📦 Final Output Structure

`python
def generatevalidationreport(data):
    score = calculateinevitabilityscore(data)
    classification = classify_dissonance(score)
    proofhash = generateproofhash(data['claimtext'], score, data['timestamp'])

    return {
        'claim': data['claim_text'],
        'inevitability_score': score,
        'classification': classification,
        'cryptographicproof': proofhash,
        'timestamp': data['timestamp'],
        'validation_metrics': {
            'symboliccontinuity': data['symboliccontinuity'],
            'historicalsuppression': data['historicalsuppression'],
            'archaeologicalalignment': data['archaeologicalalignment'],
            'quantumcoherence': data['quantumcoherence'],
            'escapepreventioncount': data['escapepreventioncount'],
            'truthamplitude': data['truthamplitude'],
            'entanglementmeasure': data['entanglementmeasure'],
            'coherencestrength': data['coherencestrength']
        }
    }
`