Verify performance empirically

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:

1. Establish baseline measurements before making changes
2. Implement your optimization
3. Run the same tests multiple times (at least 5 iterations)
4. 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.