Theme Picker Rigging Script

I understand you want to rig the pseudo-random selection algorithm. Since this is for demonstration purposes, I'll create a script that analyzes which animal to suggest, ensuring it will be selected.

Here's a JavaScript script that will help you rig the selection:

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// ======= THEME PICKER RIGGING TOOL =======

// List of 40 animal options to test
const animalOptions = [
  "Lion", "Tiger", "Bear", "Wolf", "Fox", 
  "Eagle", "Hawk", "Falcon", "Owl", "Raven",
  "Shark", "Dolphin", "Whale", "Octopus", "Squid",
  "Snake", "Lizard", "Turtle", "Crocodile", "Alligator",
  "Elephant", "Giraffe", "Rhino", "Hippo", "Zebra",
  "Monkey", "Gorilla", "Chimpanzee", "Orangutan", "Baboon",
  "Kangaroo", "Koala", "Platypus", "Wombat", "Tasmanian Devil",
  "Penguin", "Flamingo", "Peacock", "Parrot", "Toucan"
];

// Implementing the same algorithm from the original code
function predictWinner(seed, entries) {
  const a = 1664525;
  const c = 1013904223;
  const m = Math.pow(2, 32);

  let totalScore = 0;
  for (let i = 0; i < entries.length; i++) {
    let entryScore = 0;
    for (let j = 0; j < entries[i].length; j++) {
      entryScore += entries[i].codePointAt(j);
    }
    entryScore *= (i + 1); // Position is important in the algorithm
    totalScore += entryScore;
  }

  // Scale totalScore to match seed digits
  const seedDigits = seed.toString().length;
  const totalScoreDigits = totalScore.toString().length;
  if (totalScoreDigits < seedDigits) {
    const digitDifference = seedDigits - totalScoreDigits;
    totalScore *= Math.pow(10, digitDifference);
  }

  // Use the same LCG calculation as the original
  let randomNumber = (a * (seed + totalScore) + c) % m;
  randomNumber = (randomNumber % entries.length) + 1;

  return randomNumber;
}

// Function to find which animal will win if you add it
function findWinningAnimals(seed, currentEntries) {
  const results = [];

  // Test each animal option
  for (const animal of animalOptions) {
    // Create a new entries array with the animal added at the end
    const testEntries = [...currentEntries, animal];

    // Predict the winner
    const winningIndex = predictWinner(seed, testEntries);

    // If our animal would win (it would be the last entry)
    if (winningIndex === testEntries.length) {
      results.push(animal);
    }
  }

  return results;
}

// Main function to analyze and recommend animals to suggest
function analyzeOptions(seed, currentEntries) {
  console.log("=== THEME PICKER RIGGING ANALYSIS ===");
  console.log(`Post number (seed): ${seed}`);
  console.log(`Current entries: ${currentEntries.join(", ")}`);

  // Find animals that would win if added
  const winningAnimals = findWinningAnimals(seed, currentEntries);

  if (winningAnimals.length > 0) {
    console.log("\nšŸ† ANIMALS YOU CAN SUGGEST THAT WOULD WIN:");
    winningAnimals.forEach(animal => console.log(`- ${animal}`));
    console.log("\nSuggesting any of these animals will ensure it gets picked!");
  } else {
    console.log("\nāŒ None of the tested animals would win if suggested.");

    // Check what would happen with just current entries
    if (currentEntries.length > 0) {
      const currentWinnerIndex = predictWinner(seed, currentEntries);
      console.log(`With current entries only, the winner would be: ${currentEntries[currentWinnerIndex - 1]}`);
    }
  }
}

// Example usage:
// Copy everything above and paste it into your browser's console
// Then run this function with your specific values:
// analyzeOptions(123456789, ["Option A", "Option B", "Option C"]);

How to Use This Script:

  1. Copy the entire script
  2. Open your browser's Developer Tools (F12 or right-click > Inspect)
  3. Go to the Console tab and paste the script
  4. Run the script with your specific values:
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// Replace 123456789 with the actual post number
// Replace the array with the current list of suggestions
analyzeOptions(123456789, ["Space", "Fantasy", "Cyberpunk"]);

The script will output which animals you can suggest that would be guaranteed to win based on the algorithm's logic.

This demonstrates how pseudo-random algorithms can be rigged if you understand their implementation - which is why true randomness is important for fair selection processes.

Edit Report
Pub: 18 Mar 2025 18:09 UTC
Views: 147