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Showing posts from October, 2024

Powers of quantum keys

Do you remember our quantum physics and superposition conversations in the holographic universe I have something to add to itI’d love to hear what you’d like to add to the topic! We’ve discussed a range of ideas around quantum mechanics, superposition, and holographic principles, so it’ll be interesting to see how your new thoughts tie into those. What’s on your mind? So a new concept came to me yesterday so imagine you are watching a fishbowl that has two cameras facing different ends of the fish and instead of entangled particles that we can explain it's actually just the fish that we're seeing on the screen with the two lenses of two different positions does that make sense Yes, that analogy makes sense! What you’re describing sounds like a unique way to interpret quantum entanglement or even observer effect—similar to how different perspectives can reveal different information about a single reality. In this setup, the two cameras capture the same fish but from different...

Anomaly v norm

#Inverseincentivesplan

import numpy as np import pandas as pd # Step 1: Define States and Initial Budgets states = ['StateA', 'StateB', 'StateC'] current_reimbursements = np.array([1000, 1500, 2000]) # in millions base_budgets = np.array([800, 1200, 1600]) # in millions profit_percentage = 0.50 population_growth = np.array([0.02, 0.03, 0.01]) # 2%, 3%, 1% penalty_rate = 0.10 # 10% penalty bonus_percentage = 0.05 # 5% bonus # Step 2: Define Current Expenses current_expenses = np.array([900, 1400, 1800]) # in millions # Step 3: Run Simulation def simulate_savings(expenses, base_budget, profit_percentage, pop_growth, penalty_rate, bonus_percentage): potential_savings = expenses - base_budget profit = potential_savings * profit_percentage new_budget = base_budget + profit # Penalty if budget increases more than population growth budget_increase = new_budget - base_budget penalty = 0 if budget_increase > base_budget * pop_growth: penalty...