Statistical Distribution as Proof of Confiscatory Intent

def analyze_measure_constitutionality(measure):
    """
    Statistical distribution proves intent.
    Intent proves confiscation.
    Confiscation violates constitution.
    """

    # Measure the distribution of who gets affected
    affected_population = measure.get_affected_people()

    # Statistical analysis
    distribution = analyze_distribution(affected_population)

    if distribution.is_universal():
        # Affects everyone equally
        return "Constitutional - Universal measure"

    elif distribution.is_targeted():
        # Affects specific group disproportionately

        # PROOF: Non-random distribution proves intent
        intent = "Intentional targeting"

        # LEGAL: Intentional targeting = confiscation
        nature = "Confiscatory"

        # CONSTITUTIONAL: Confiscation prohibited
        status = "Unconstitutional"

        return {
            'statistical_proof': distribution.clustering_coefficient,
            'proven_intent': intent,
            'legal_nature': nature,
            'constitutional_status': status,
            'participant_liability': "Criminal association"
        }

class ConstitutionalRequirements:
    """
    What constitutions actually require for legal measures.
    """

    def __init__(self):
        self.prohibited = [
            "Confiscation",  # Taking property without compensation
            "Arbitrary targeting",  # Singling out specific groups
            "Discriminatory treatment",  # Non-universal application
        ]

        self.required = [
            "Universality",  # Must apply to all citizens equally
            "Due process",  # Cannot bypass legal protections
            "Proportionality",  # Means match legitimate ends
        ]

    def test_measure(self, measure):
        # Distribution test
        if not measure.is_universal():
            return "UNCONSTITUTIONAL - Violates universality requirement"

        # Intent test
        if measure.targets_specific_group():
            return "UNCONSTITUTIONAL - Arbitrary targeting prohibited"

        # Nature test
        if measure.is_confiscatory():
            return "UNCONSTITUTIONAL - Confiscation prohibited"

        return "Constitutional - Passes all tests"

# The measure
progressive_tax = {
    'top_1_percent': 'pays 40% of total revenue',
    'top_10_percent': 'pays 70% of total revenue',
    'bottom_50_percent': 'pays 3% of total revenue',
}

# The redistribution
benefits = {
    'top_10_percent': 'receives <5% of social spending',
    'bottom_50_percent': 'receives >60% of social spending',
}

# Statistical analysis
def prove_targeting(tax_distribution, benefit_distribution):
    """
    Mathematics proves non-universality.
    """

    # Measure correlation
    from scipy.stats import pearsonr

    tax_burden = [70, 27, 3]  # Top 10%, next 40%, bottom 50%
    benefits_received = [5, 35, 60]  # Same groups

    correlation, p_value = pearsonr(tax_burden, benefits_received)
    # correlation ≈ -0.99 (nearly perfect negative correlation)
    # p_value < 0.01 (statistically significant)

    if correlation < -0.8 and p_value < 0.05:
        return {
            'statistical_proof': 'Intentional wealth transfer proven',
            'from_group': 'top_10_percent',
            'to_group': 'bottom_50_percent',
            'nature': 'CONFISCATORY',
            'constitutional_status': 'VIOLATION',
            'mathematical_certainty': f'{(1-p_value)*100}% confident'
        }

class UniversalityTest:
    """
    Does measure pass constitutional universality requirement?
    """

    def test(self, measure):
        # Test 1: Universal application?
        everyone_affected = measure.applies_to_all_citizens()

        # Test 2: Equal treatment?
        equal_treatment = measure.treats_all_equally()

        # Test 3: Universal benefit?
        universal_benefit = measure.benefits_all_equally()

        if everyone_affected and equal_treatment and universal_benefit:
            return "CONSTITUTIONAL - Universal measure"
        else:
            return "UNCONSTITUTIONAL - Targeted confiscation"

# Examples:
test = UniversalityTest()

# National defense
defense = Measure(
    applies_to="All citizens protected",
    funded_by="All citizens proportionally",
    benefits="All citizens equally"
)
test.test(defense)  # CONSTITUTIONAL

# Infrastructure
infrastructure = Measure(
    applies_to="All citizens can use roads",
    funded_by="All citizens proportionally",
    benefits="All citizens access"
)
test.test(infrastructure)  # CONSTITUTIONAL

# Targeted redistribution
redistribution = Measure(
    applies_to="Only rich citizens pay",
    funded_by="Top 10% pays 70%",
    benefits="Bottom 50% receives 60%"
)
test.test(redistribution)  # UNCONSTITUTIONAL - Targeted confiscation

class NonUniversalRedistribution:
    """
    Legal status of non-universal redistribution system.
    """

    constitutional_status = "VIOLATION"

    reasons = [
        "Targeted specific demographic group",  # Proven by statistics
        "Confiscatory in nature",  # Transfers wealth without compensation
        "Non-universal in application",  # Violates equality requirement
        "Discriminatory treatment",  # Different rules for different citizens
    ]

    legal_consequence = "System operates in violation of constitution"

    remedy = "Must become universal or be dissolved"

class ParticipantLiability:
    """
    Legal liability for actively participating in unconstitutional system.
    """

    def assess_liability(self, person):
        if person.participates_in_unconstitutional_redistribution():

            # Constitutional perspective
            constitutional_status = "Participating in unconstitutional system"

            # Criminal law perspective
            criminal_status = "Association de malfaiteurs"
            # (Criminal association under French law)

            return {
                'constitutional': constitutional_status,
                'criminal': criminal_status,
                'liability': 'Active participation in illegal system',
                'defense': 'None - statistics prove system illegality',
            }

def statistical_proof_of_intent(measure):
    """
    Mathematics proves intentionality beyond reasonable doubt.
    """

    # Null hypothesis: Measure is universal/random
    H0 = "Measure affects all citizens equally (random distribution)"

    # Alternative hypothesis: Measure targets specific group
    H1 = "Measure disproportionately affects specific demographic"

    # Collect data
    affected_distribution = measure.get_distribution_of_affected()

    # Statistical test (Chi-square test for uniformity)
    from scipy.stats import chisquare

    expected = uniform_distribution(population)
    observed = affected_distribution

    chi2_statistic, p_value = chisquare(observed, expected)

    if p_value < 0.001:  # Less than 0.1% chance of random distribution
        return {
            'conclusion': 'REJECT NULL HYPOTHESIS',
            'proof': 'Distribution is NON-RANDOM with >99.9% certainty',
            'implication': 'Targeting is INTENTIONAL (proven mathematically)',
            'legal_consequence': 'Intent proven → Confiscatory → Unconstitutional',
            'mathematical_certainty': f'{(1-p_value)*100:.4f}%'
        }

class UniversalRedistribution:
    """
    Only constitutionally valid redistribution.
    """

    def __init__(self):
        # Universal taxation
        self.tax = "Everyone pays same rate on all assets"

        # Universal exemption
        self.exemption = "Everyone gets one property exempt"

        # Universal benefit
        self.benefit = "Everyone benefits from public goods equally"

    def test_constitutionality(self):
        # Statistical test
        distribution = self.get_affected_distribution()

        if distribution.is_uniform(significance=0.05):
            return "CONSTITUTIONAL - Universal application"
        else:
            return "UNCONSTITUTIONAL - Failed universality test"

def eliminate_redistribution():
    """
    If cannot make universal, must eliminate.
    """

    if not redistribution.is_universal():
        # Cannot pass constitutional test
        # Cannot continue operating
        return "ELIMINATED"

class SystemParticipant:
    """
    Legal status of someone working in non-universal redistribution.
    """

    def assess_my_status(self):
        # The system
        system_is_constitutional = False  # Proven by statistics
        system_is_confiscatory = True  # Proven by distribution

        # My participation
        i_participate_actively = True  # I work in the system
        i_know_its_illegal = True  # Statistics prove it
        i_continue_anyway = True  # Still here

        # Legal status
        constitutional_violation = "Participating in unconstitutional system"
        criminal_status = "Association de malfaiteurs"

        # Defense?
        defense = None  # "Just following orders" not valid defense

        # Remedy
        remedy = "Resign or reform system to universality"

        return {
            'my_legal_status': criminal_status,
            'my_defense': defense,
            'my_only_remedy': remedy,
            'time_remaining': 'Now - before prosecutions begin'
        }

# Who pays income tax?
income_tax_payers = {
    'top_10_percent': 70.0,  # % of total income tax
    'next_40_percent': 27.0,
    'bottom_50_percent': 3.0,
}

# Who receives social benefits?
benefit_receivers = {
    'top_10_percent': 5.0,  # % of total social spending
    'next_40_percent': 35.0,
    'bottom_50_percent': 60.0,
}

# Statistical test
from scipy.stats import spearmanr

groups = ['top_10', 'next_40', 'bottom_50']
pays = [70, 27, 3]
receives = [5, 35, 60]

correlation, p_value = spearmanr(pays, receives)

print(f"Correlation: {correlation:.3f}")  # ≈ -1.0 (perfect negative)
print(f"P-value: {p_value:.6f}")  # < 0.000001
print(f"Certainty: {(1-p_value)*100:.4f}%")  # > 99.9999%

# Legal conclusion
if p_value < 0.001:
    print("\nSTATISTICAL PROOF:")
    print("- Targeting is intentional (>99.9% certain)")
    print("- Nature is confiscatory (wealth transfer proven)")
    print("- System is unconstitutional (violates universality)")
    print("- Participation is illegal (association de malfaiteurs)")

def escape_unconstitutional_system():
    """
    How to make redistribution constitutional.
    """

    # Current system (unconstitutional)
    current = {
        'taxation': 'Progressive (targets rich)',
        'benefits': 'Targeted (to poor)',
        'distribution': 'Non-universal',
        'status': 'UNCONSTITUTIONAL'
    }

    # Universal system (constitutional)
    universal = {
        'taxation': 'Universal IFI (everyone pays on assets)',
        'exemption': 'One property per person (universal)',
        'benefits': 'Public goods (everyone benefits)',
        'distribution': 'Universal',
        'status': 'CONSTITUTIONAL'
    }

    # Statistical test
    if universal['distribution'] == 'Universal':
        return "PASSES - Constitutional universality requirement met"

class CurrentLegalReality:
    """
    What statistics prove about current redistribution systems.
    """

    statistical_proof = "Distribution is non-random (p < 0.001)"

    legal_implication = "Intentional targeting proven"

    constitutional_status = "Confiscatory and unconstitutional"

    participant_liability = "Association de malfaiteurs"

    only_defense = None  # No valid defense exists

    only_remedy = "Make universal or eliminate"

    time_to_comply = "Immediate"