Always validate performance optimizations through measurement rather than assumptions. Run multiple iterations of performance tests to ensure statistical significance and reduce noise in your metrics.

When proposing performance-related changes:

Establish baseline measurements before making changes
Implement your optimization
Run the same tests multiple times (at least 5 iterations)
Calculate average metrics to verify actual improvement

// Example: Multiple iterations for reliable performance testing
const iterations = 5;
let totalRenderTime = 0;

// Collect performance data across multiple runs
for (let i = 0; i < iterations; i++) {
  const performance = await measurePerformance(component);
  totalRenderTime += performance.renderTime;
}

// Calculate and report the average
const averageRenderTime = totalRenderTime / iterations;
console.log(`Average render time: ${averageRenderTime.toFixed(2)}ms`);

This approach prevents changes that might appear beneficial in a single test run but actually have neutral or negative impacts in production environments. Increasing the number of iterations provides higher confidence in your performance results.

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