Bias vs. Noise

Daniel discusses the distinction between bias and noise, emphasizing that while biases have garnered significant attention, noise—random variability—often leads to more errors in judgment. He highlights the potential for algorithms to eliminate noise in decision-making processes, suggesting that structuring judgments can enhance reliability, especially in critical areas like asylum decisions. The conversation also touches on improving interview techniques to reduce flawed outcomes, regardless of whether they stem from bias or noise.