Resource#

So much of the inefficiency and dysfunction we observe in modern organizations, governments, and even families stems from the Red Queen hypothesis operating at the individual level. This relentless evolutionary mechanism, compelling individuals to compete for survival and status, creates inherent conflicts of interest. It’s not about optimizing outcomes for the collective; it’s about individuals playing their own survival games within larger structures. The illusion of a unified “body politic” or an organization striving toward shared goals is the grand lie that masks the chaos beneath.

Let’s unpack this in the context of your examples:

  1. Yes, Minister: The show brilliantly captures the Red Queen dynamic within government. The bureaucrats, elected officials, and advisors are ostensibly working toward national progress, but in truth, each is locked in their own survival game—maneuvering for power, prestige, and preservation. Sir Humphrey’s endless scheming isn’t inefficiency for its own sake; it’s survival by manipulation. The clash between individual agendas and the ostensible collective mission creates inefficiency, miscommunication, and stagnation.

  2. Prince Harry and Diana: The British royal family is a masterclass in individual-level Red Queen dynamics under the guise of a cohesive institution. Diana’s story exemplifies how these dynamics can implode. Her popularity threatened the royal family’s internal equilibrium, while Harry’s later revelations underscore the same principle: the “family” isn’t a unified body but a collection of individuals competing for relevance and survival in a system designed to project unity.

  3. Credit Suisse’s Collapse: The bank’s implosion is another perfect case study. On the surface, a 150-year-old institution should have been safeguarded by collective intelligence and unified goals. Instead, internal politicking, self-preservation instincts, and personal rivalries undermined it. The defection of Iqbal Khan to UBS –where is on track to CEO, which later acquired Credit Suisse, is emblematic of the Red Queen hypothesis: individuals act to secure their own survival (even through betrayal to arch rivals), even if it destabilizes the broader system. The collapse wasn’t just about market forces; it was about the internecine conflicts that rendered the institution fragile.

https://www.singulart.com/blog/wp-content/uploads/2019/08/tour_img-312981-148.jpg

Fig. 29 Betrayal of Credit Suisse. In this context the UBS is the Roman Empire and Iqbal Khan is Judas. The 30 pieces of silver were secured with his transfer to UBS, where he is now next in line to become the next CEO.#

  1. Organizations in General: Whether in corporations, governments, or families, the Red Queen operates at all levels. The illusion of collective effort is perpetuated through rhetoric, but the reality is a battlefield of competing interests. Poor communication arises because true collaboration requires trust and alignment of goals—both of which are rare in systems where individuals are fundamentally incentivized to prioritize their own survival.

The Specter of Inefficiency#

This is where inefficiency thrives. When individuals prioritize their own survival over collective goals, the system as a whole becomes less effective. Conflicts of interest lead to suboptimal decisions, misalignment, and wasted resources. Credit Suisse’s collapse wasn’t an isolated event—it was the natural outcome of a system where Red Queen dynamics overtook any pretense of collective optimization.

This principle scales. Families splinter because individual members pursue their own goals at the expense of the group. Governments stagnate because politicians prioritize reelection over governance. Corporations collapse because executives focus on bonuses rather than stability. The Red Queen hypothesis explains these inefficiencies not as anomalies but as inevitabilities in systems where individual survival trumps collective progress.

What’s Going On?#

We’re right to highlight the broader implications. This isn’t just a series of isolated phenomena; it’s a systemic feature of modern life. Whether it’s Diana’s alienation, Harry’s estrangement, or Credit Suisse’s downfall, the Red Queen hypothesis lurks behind the scenes, driving individuals to act in ways that destabilize the very systems they inhabit. The efficiency of the illusion—the façade of unity—is that it keeps the wheels turning just enough to prevent total collapse, but the underlying inefficiency is the price we pay for the relentless race at the individual level.

If we are to mitigate these inefficiencies, we must first acknowledge their roots in the Red Queen dynamics within our institutions and ourselves. Until then, the treadmill keeps running, and the cost of inefficiency keeps rising.

Hide code cell source
import numpy as np
import matplotlib.pyplot as plt
import networkx as nx

# Define the neural network structure
def define_layers():
    return {
        # Divine and narrative framework in the film
        'World': [
            'Cosmos',  # Guido’s grand, universal sense of play and creativity
            'Earth',  # The tangible and oppressive reality of the Holocaust
            'Life',  # The stakes of survival and human connection
            'Il Sacrificio',  # Guido’s ultimate sacrifice
            'Mia Storia',  # Giosuè’s personal narrative, shaped by his father
            'Dono Per Me'  # The "gift" of innocence and joy given by Guido
        ],
        # Perception and filtering of reality
        'Perception': ['Che Mio'],  # How Giosuè interprets his father’s actions and words
        # Agency and Guido’s defining traits
        'Agency': ['Cheerfulness', 'Optimism'],  # Guido’s tools for shaping the narrative
        # Generativity and legacy
        'Generativity': [
            'Anarchy',  # Guido’s rebellion against oppressive reality
            'Oligarchy',  # The systemic constraints he navigates
            'Padre Fece'  # The actions and sacrifices Guido made for his son
        ],
        # Physical realities and their interplay
        'Physicality': [
            'Dynamic',  # Guido’s improvisational actions, like creating the “game”
            'Partisan',  # The direct oppression he faces
            'Common Wealth',  # Shared humanity and joy despite hardship
            'Non-Partisan',  # Universal themes transcending sides
            'Static'  # The immovable, tragic finality of the Holocaust
        ]
    }

# Assign colors to nodes
def assign_colors(node, layer):
    if node == 'Che Mio':
        return 'yellow'  # Perception as the interpretive bridge
    if layer == 'World' and node == 'Dono Per Me':
        return 'paleturquoise'  # Optimism and the "gift"
    if layer == 'World' and node == 'Mia Storia':
        return 'lightgreen'  # Harmony and legacy
    if layer == 'World' and node in ['Cosmos', 'Earth']:
        return 'lightgray'  # Context of divine and tangible
    elif layer == 'Agency' and node == 'Optimism':
        return 'paleturquoise'  # Guido’s defining hope
    elif layer == 'Generativity':
        if node == 'Padre Fece':
            return 'paleturquoise'  # Guido’s ultimate acts of selflessness
        elif node == 'Oligarchy':
            return 'lightgreen'  # Navigating systemic structures
        elif node == 'Anarchy':
            return 'lightsalmon'  # Rebellion and creativity
    elif layer == 'Physicality':
        if node == 'Static':
            return 'paleturquoise'  # The unchanging, tragic realities
        elif node in ['Non-Partisan', 'Common Wealth', 'Partisan']:
            return 'lightgreen'  # Shared humanity and resilience
        elif node == 'Dynamic':
            return 'lightsalmon'  # Guido’s improvisation and vitality
    return 'lightsalmon'  # Default color for tension or conflict

# Calculate positions for nodes
def calculate_positions(layer, center_x, offset):
    layer_size = len(layer)
    start_y = -(layer_size - 1) / 2  # Center the layer vertically
    return [(center_x + offset, start_y + i) for i in range(layer_size)]

# Create and visualize the neural network graph
def visualize_nn():
    layers = define_layers()
    G = nx.DiGraph()
    pos = {}
    node_colors = []
    center_x = 0  # Align nodes horizontally

    # Add nodes and assign positions
    for i, (layer_name, nodes) in enumerate(layers.items()):
        y_positions = calculate_positions(nodes, center_x, offset=-len(layers) + i + 1)
        for node, position in zip(nodes, y_positions):
            G.add_node(node, layer=layer_name)
            pos[node] = position
            node_colors.append(assign_colors(node, layer_name))

    # Add edges (without weights)
    for layer_pair in [
        ('World', 'Perception'),  # Giosuè interprets the "World" through "Che Mio"
        ('Perception', 'Agency'),  # Guido’s cheerfulness shapes Giosuè’s perception
        ('Agency', 'Generativity'),  # Guido’s optimism drives his generative actions
        ('Generativity', 'Physicality')  # His legacy plays out in the physical world
    ]:
        source_layer, target_layer = layer_pair
        for source in layers[source_layer]:
            for target in layers[target_layer]:
                G.add_edge(source, target)

    # Draw the graph
    plt.figure(figsize=(14, 10))
    nx.draw(
        G, pos, with_labels=True, node_color=node_colors, edge_color='gray',
        node_size=3000, font_size=10, connectionstyle="arc3,rad=0.1"
    )
    plt.title("Questa è la mia storia: Vita è Bella", fontsize=15)
    plt.show()

# Run the visualization
visualize_nn()
../../_images/6e9a6e47eafe4cc0bd8602f59d5c9e4c6eb989e5a17b71fbd88f7fb9eb54b416.png
../../_images/blanche.png

Fig. 30 In the 2006 movie Apocalypto, a solar eclipse occurs while Jaguar Paw is on the altar. The Maya interpret the eclipse as a sign that the gods are content and will spare the remaining captives. Source: Search Labs | AI Overview#