• Distractions dictate your mistakes.
  • Not all data we encounter is relevant to the dilemmas we face.
  • Although we may think we would never make such mistakes, we likely already have. Whether we realize it or not, noise invades every choice, from the most mundane decisions to life-altering ones.
  • Once we accept its presence and acknowledge its influence, we can turn noise into our ally.
  • This phenomenon is called naive realism.
  • Noise — inconsequential factors that affect important decisions — pervades various fields, from hospitals to courtrooms.
  • It's essential to focus on eliminating poor choices.
  • Digital judges are more impartial.
  • The AI model outperformed human judges, yielding these results:
    • It effectively reduced crime rates by up to 24%.
    • AI decreased the number of people detained by up to 42%.
    • It identified high-risk defendants more effectively.
  • In contrast, human judges showed varying levels of leniency and inconsistencies in assessing flight risks.
  • Regulations and algorithms outperform humans because they lack noise. They don't have biases, moods, or emotional rewards and excel at identifying patterns that humans often overlook.
  • People aren't entirely against algorithms; they often give them a chance but lose trust when encountering first mistakes.
  • Fortunately, we can replicate some aspects of rules and algorithms, such as simplicity and noiselessness, in human judgment.
  • Social proof can undermine the wisdom of crowds.
  • Groupthink situations may cause individuals to suppress their opinions or doubts to maintain cohesion, leading to a weaker collective judgment.
  • A phenomenon called information cascades describes that early opinions heavily influence subsequent ones.
  • A snowball effect occurs when a single idea dominates the group's collective judgment, often resulting in an inaccurate outcome.
  • Informational cascades happen when people anchor their decisions on others' opinions instead of their own judgments.
  • For instance, in a group decision-making process, if the first person to speak supports a specific candidate for a job, others might follow suit even if they hold different views. This dynamic can result in a unanimous decision failing to reflect the group's collective wisdom.
  • While multiple independent opinions can yield accurate results, even a little social influence can trigger a herding effect – individuals conforming to the views of the majority.