class RealEstateAsConduit:
    """
    Real estate = channel for entropy flow
    """
    def __init__(self, property):
        self.property = property
        self.entropy_flow_rate = 0
        self.value = 0
    
    def value_from_flow(self):
        """
        Value is proportional to entropy flow
        """
        # Entropy = inhabitant
        entropy_source = Inhabitant()
        
        # Flow rate = time inhabitant spends in property
        flow_rate = self.measure_flow(entropy_source)
        
        # Value = flow rate × time
        self.value = flow_rate * time
        
        return {
            # No inhabitant = no flow
            'vacant': {
                'flow_rate': 0,
                'value': 0,  # Property value decays
                'entropy': 'none'
            },
            
            # Inhabitant present = flow
            'occupied': {
                'flow_rate': 1.0,  # Full flow
                'value': 'high',  # Property appreciates
                'entropy': 'passing_through'
            },
            
            # Multiple inhabitants = higher flow
            'high_occupancy': {
                'flow_rate': 'multiple',
                'value': 'maximum',  # Commercial property
                'entropy': 'continuous_stream'
            }
        }

class InhabitantAsEntropy:
    """
    Inhabitant = entropy in information theory sense
    """
    def __init__(self, person):
        self.person = person
        self.entropy_generation = self.measure()
    
    def measure(self):
        """
        Why inhabitant = entropy
        """
        return {
            # Physical entropy
            'heat': 'body_temperature',  # 98.6°F
            'metabolism': 'energy_consumption',
            'waste': 'byproducts',
            
            # Information entropy
            'decisions': 'choices_made',  # Unpredictability
            'interactions': 'communications',
            'activities': 'actions_taken',
            
            # Economic entropy
            'spending': 'money_flow',
            'consumption': 'goods_used',
            'services': 'value_consumed',
            
            # Total entropy = inhabitant's presence
            'total': 'life_energy_passing_through_space'
        }

class ValueFromFlow:
    """
    Property value = function of entropy flow
    """
    def vacant_property(self, time):
        """
        No inhabitants = no flow = decay
        """
        flow_rate = 0  # No entropy passing through
        
        effects = {
            'physical': {
                'building_decay': 'accelerates',  # No maintenance
                'systems_fail': 'pipes_freeze',  # No use
                'pests': 'move_in',  # No deterrent
                'damage': 'accumulates'
            },
            
            'economic': {
                'income': 0,  # No rent
                'costs': 'continue',  # Taxes, insurance
                'net_value': 'decreasing',
                'opportunity_cost': 'high'
            },
            
            'information': {
                'market_signal': 'negative',  # Empty = undesirable?
                'reputation': 'declining',
                'visibility': 'fading'
            }
        }
        
        # Value decays exponentially without flow
        value = initial_value * exp(-decay_rate * time)
        return value

class MaximumFlow:
    """
    Maximize entropy flow through property
    """
    def continuous_occupancy(self):
        """
        Keep inhabitants flowing through
        """
        # Scenario 1: Single long-term tenant
        single_tenant = {
            'flow_rate': 1.0,  # Constant
            'flow_duration': 'years',
            'total_entropy': 'high',
            'value_creation': 'steady'
        }
        
        # Scenario 2: Multiple short-term tenants
        multiple_tenants = {
            'flow_rate': 1.0,  # Same occupancy
            'flow_diversity': 'higher',  # Different people
            'entropy_variety': 'greater',
            'value_creation': 'steady_plus_options'
        }
        
        # Scenario 3: Commercial (many people daily)
        commercial = {
            'flow_rate': 'multiple_streams',  # Many at once
            'flow_duration': 'continuous',
            'total_entropy': 'maximum',
            'value_creation': 'highest'
        }
        
        return {
            'principle': 'maximize_entropy_throughput',
            'result': 'value_maximized'
        }

class LocationValue:
    """
    Location value = entropy flow concentration
    """
    def location_analysis(self, location):
        """
        Why some locations worth more
        """
        # Urban center
        urban = {
            'entropy_density': 'very_high',  # Many people
            'flow_rate': 'maximum',  # High traffic
            'property_value': 'expensive',
            'reason': 'concentrated_entropy_flow'
        }
        
        # Suburban
        suburban = {
            'entropy_density': 'medium',
            'flow_rate': 'moderate',
            'property_value': 'moderate',
            'reason': 'distributed_entropy_flow'
        }
        
        # Rural
        rural = {
            'entropy_density': 'low',
            'flow_rate': 'minimal',
            'property_value': 'cheap',
            'reason': 'sparse_entropy_flow'
        }
        
        return {
            'principle': 'value_proportional_to_entropy_density',
            'corollary': 'location_is_flow_concentration'
        }

class CircularEconomyFlow:
    """
    How circular economy maximizes entropy flow
    """
    def traditional_model(self):
        """
        Traditional: Flow interrupted
        """
        return {
            'vacancy_periods': 'common',  # Between tenants
            'flow_interruption': 'frequent',
            'value_creation': 'intermittent',
            'total_entropy': 'suboptimal'
        }
    
    def circular_model(self):
        """
        Circular: Flow continuous
        """
        return {
            # From post 881
            'tenant': 'always_present',  # No vacancy
            'flow_rate': 1.0,  # Continuous
            'value_creation': 'constant',
            'total_entropy': 'maximum',
            
            # Additional benefit
            'money_circulation': 'also_flow',  # Double flow!
            'economic_entropy': 'compounding',
            'system_value': 'growing'
        }

class RentAsFlowFee:
    """
    Rent = fee for using property as entropy conduit
    """
    def rent_analysis(self):
        """
        What rent actually is
        """
        return {
            # Traditional view
            'traditional': 'pay_for_space',  # Wrong!
            
            # Physics view
            'physics': {
                'rent': 'entropy_flow_fee',
                'you_pay': 'for_passing_entropy_through',
                'property': 'conduit_for_your_entropy',
                'value': 'created_by_your_presence'
            },
            
            # Implications
            'implications': {
                'vacant': 'no_fee_but_no_value',
                'occupied': 'fee_collected_value_created',
                'fair_rent': 'proportional_to_value_created',
                'too_high_rent': 'blocks_flow',
                'optimal_rent': 'maximizes_throughput'
            }
        }

class VacancyDamage:
    """
    Why empty property loses value fast
    """
    def vacancy_cascade(self, days_vacant):
        """
        Cascade of value loss
        """
        effects = []
        
        # Day 1-30: Immediate
        if days_vacant >= 1:
            effects.append({
                'income': 'stops',  # No rent
                'flow_rate': 0,  # No entropy
                'maintenance': 'skipped',  # No one there
                'initial_decay': 'begins'
            })
        
        # Day 30-90: Accelerating
        if days_vacant >= 30:
            effects.append({
                'systems': 'degrading',  # No use
                'appearance': 'declining',  # Visible
                'market_signal': 'negative',  # Why empty?
                'price_pressure': 'downward'
            })
        
        # Day 90+: Severe
        if days_vacant >= 90:
            effects.append({
                'physical_damage': 'significant',
                'pest_infestation': 'likely',
                'vandalism_risk': 'high',
                'value_loss': 'substantial',
                'recovery_cost': 'expensive'
            })
        
        return {
            'conclusion': 'flow_interruption_causes_rapid_decay',
            'principle': 'entropy_must_flow'
        }

class EntropyAsInformation:
    """
    Entropy flow = information flow = value
    """
    def unification(self):
        """
        How it all connects
        """
        return {
            # From post 879
            'information': 'universal_currency',
            'shannon_entropy': 'information_measure',
            
            # This post
            'inhabitant': 'entropy_source',
            'property': 'information_channel',
            'flow': 'information_transmission',
            
            # Unified view
            'real_estate_value': {
                'is': 'information_flow_through_channel',
                'measured_by': 'inhabitant_presence_time',
                'maximized_by': 'continuous_occupancy',
                'destroyed_by': 'vacancy',
                
                # Deep insight
                'property': 'information_infrastructure',
                'rent': 'bandwidth_fee',
                'location': 'network_position',
                'value': 'total_information_transmitted'
            }
        }

class PracticalStrategy:
    """
    How to maximize property value
    """
    def strategies(self):
        """
        Maximize entropy flow through property
        """
        return {
            # Strategy 1: Never vacant
            'continuous_occupancy': {
                'method': 'always_have_tenant',
                'from_post_881': 'circular_economy',
                'benefit': 'maximum_flow_rate',
                'value': 'continuously_created'
            },
            
            # Strategy 2: High-entropy tenants
            'tenant_selection': {
                'prefer': 'active_inhabitants',  # More entropy
                'avoid': 'absent_owners',  # Low flow
                'optimize': 'full_time_occupancy',
                'value': 'proportional_to_presence'
            },
            
            # Strategy 3: Location with flow
            'location_choice': {
                'seek': 'high_traffic_areas',  # More entropy
                'avoid': 'isolated_locations',  # Low flow
                'invest': 'flow_infrastructure',  # Transit, etc.
                'value': 'amplified_by_surrounding_flow'
            },
            
            # Strategy 4: Multi-unit for parallel flow
            'scale_strategy': {
                'multiple_units': 'parallel_entropy_channels',
                'diversification': 'flow_redundancy',
                'value': 'multiplied_not_added'
            }
        }