Catalysts

Catalysts#

The journey of coffee from the highlands of Ethiopia to the global stage can be seen as a narrative of human connection, mirroring the spread of religion, civilization, and commerce through history. Like a neural network where information flows through nodes, the spread of coffee can be analyzed as a series of cultural and economic synapses, each interaction shaping and being shaped by the societies it touched.

Ethiopia (14th Century and Before): The story begins in Ethiopia, where coffee’s origins are shrouded in legend, often attributed to an Abyssinian goatherd named Kaldi in the 9th century, who noticed his goats becoming unusually energetic after eating coffee cherries. By the 14th century, coffee was not just a stimulant but part of daily life, closely intertwined with Islamic practices. Monks in Ethiopian monasteries used coffee to aid in their prayers, revealing an early correlation between coffee and religion. Here, coffee was more than a beverage; it was a tool for spiritual endurance, laying the groundwork for its cultural significance.

Mocha, Yemen (15th Century): Coffee’s journey from Ethiopia across the Red Sea to Yemen in the 15th century marked the beginning of its commercial and cultural expansion. In Yemen, coffee was not only cultivated but became a central element of social life. The port of Mocha became synonymous with coffee, reflecting its pivotal role in trade. Here, coffee was embraced by Sufi mystics for its stimulative properties, aiding in their devotional practices, thus intertwining with Islamic religious life. However, its consumption was initially questioned by conservative religious leaders in Mecca who saw it as a potential vice, leading to temporary bans. The eventual acceptance of coffee within Islamic communities was a testament to its integration into both religious and social spheres.

Ottoman Empire (16th Century): As coffee spread into the Ottoman Empire, it became a cultural phenomenon, with coffeehouses or “qahveh khaneh” becoming central to social interaction, much like churches or mosques were for religious gatherings. The Ottomans were crucial in disseminating coffee culture across the Middle East and into Europe. Here, coffee was both celebrated and scrutinized; it was seen as a boon for social cohesion yet feared for its potential to foster dissent, leading to several bans by authorities wary of coffeehouses as centers of sedition. However, the drink’s popularity among all strata of society, including clerics who debated its halal status, ensured its enduring presence. The Ottoman sultans, recognizing coffee’s cultural and economic value, eventually supported its spread.

Western Nations (17th Century): When coffee reached Europe, it encountered a mix of curiosity and suspicion. In Venice, it was initially met with clerical resistance, with some suggesting it be banned for its association with Muslim culture. However, Pope Clement VIII, after tasting it, baptized coffee, thus sanctioning its use among Christians. This act symbolizes how coffee transcended religious boundaries, becoming a staple in European culture. Coffeehouses in London, known as “penny universities,” became hubs of intellectual discourse, paralleling the role of churches in community life, yet fostering a secular environment for the exchange of ideas. Monarchs and clergy alike had to navigate the social implications of this new beverage, with some like King Charles II of England temporarily banning coffeehouses due to political fears.

Latin America (18th Century): The 18th century saw coffee’s cultivation spread to the Americas, particularly in Brazil, where it became an economic powerhouse. Here, coffee was less about religious integration and more about economic dominion. The colonial powers, including the Portuguese in Brazil, used coffee plantations as part of their economic strategy, intertwining commerce with the spread of European civilization. Coffee became a symbol of wealth and status, influencing social structures and leading to the establishment of coffee estates, which were often run with labor practices that echoed the colonial and religious justifications of the time.

Back to East Africa from Brazil (19th Century): The 19th century saw a cyclical return of coffee to Africa, particularly from Brazil to East Africa, illustrating the global network of commerce and culture. This period also marked coffee’s integration into Christian missions in Africa, where it was used as a tool for social gatherings, much like in Europe. However, the spread was not without cultural questioning; in Ethiopia, the Orthodox Church had initially resisted coffee due to its association with Islam, but by the late 19th century, attitudes had shifted, recognizing coffee as a national heritage rather than a foreign import.

In conclusion, the spread of coffee across the globe can be viewed as a neural network where each node represents a culture, religion, or economic system, with coffee acting as the information or stimulus passing through these networks. Its journey reflects not just the spread of a beverage but the diffusion of ideas, practices, and power dynamics, questioned and utilized by clerics, monarchs, and traders alike. Each society adapted coffee to fit its cultural, religious, and economic fabric, demonstrating how a simple bean can influence and be influenced by the complex systems of human civilization.

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

# Define the neural network fractal
def define_layers():
    return {
        'World': ['Cosmos', 'Planet', 'Life', 'Ecosystem', 'Generative', 'Cartel', ], ## Cosmos, Planet
        'Perception': ['Perception'], # Life
        'Agency': ['Hustle', 'Narrative'], # Ecosystem (Beyond Principal-Agent-Other)
        'Generative': ['Ratio', 'Competition', 'Odds'], # Generative
        'Physical': ['Volatile', 'Unknown',  'Freedom', 'Known', 'Stable'] # Physical
    }

# Assign colors to nodes
def assign_colors():
    color_map = {
        'yellow': ['Perception'],
        'paleturquoise': ['Cartel', 'Narrative', 'Odds', 'Stable'],
        'lightgreen': ['Generative', 'Competition', 'Known', 'Freedom', 'Unknown'],
        'lightsalmon': [
            'Life', 'Ecosystem', 'Hustle', # Ecosystem = Red Queen = Prometheus = Sacrifice
            'Ratio', 'Volatile'
        ],
    }
    return {node: color for color, nodes in color_map.items() for node in nodes}

# Calculate positions for nodes
def calculate_positions(layer, x_offset):
    y_positions = np.linspace(-len(layer) / 2, len(layer) / 2, len(layer))
    return [(x_offset, y) for y in y_positions]

# Create and visualize the neural network graph
def visualize_nn():
    layers = define_layers()
    colors = assign_colors()
    G = nx.DiGraph()
    pos = {}
    node_colors = []

    # Add nodes and assign positions
    for i, (layer_name, nodes) in enumerate(layers.items()):
        positions = calculate_positions(nodes, x_offset=i * 2)
        for node, position in zip(nodes, positions):
            G.add_node(node, layer=layer_name)
            pos[node] = position
            node_colors.append(colors.get(node, 'lightgray'))  # Default color fallback

    # Add edges (automated for consecutive layers)
    layer_names = list(layers.keys())
    for i in range(len(layer_names) - 1):
        source_layer, target_layer = layer_names[i], layer_names[i + 1]
        for source in layers[source_layer]:
            for target in layers[target_layer]:
                G.add_edge(source, target)

    # Draw the graph
    plt.figure(figsize=(12, 8))
    nx.draw(
        G, pos, with_labels=True, node_color=node_colors, edge_color='gray',
        node_size=3000, font_size=9, connectionstyle="arc3,rad=0.2"
    )
    plt.title("Bitcoin", fontsize=15)
    plt.show()

# Run the visualization
visualize_nn()
../_images/7aa31ca8d6f9370952478947ee997f3f8592995709dc8ec604a175d098663e96.png
../_images/blanche.png

Fig. 6 So we have a banking cartel, private ledgers, balancing payments, network of banks, and satisfied customer. The usurper is a public infrastructure, with open ledgers, digital trails, block-chain network, and liberated customer#