Noise: A Flaw in Human Judgment
Rate it:
Read between July 31 - August 28, 2024
45%
Flag icon
the studies we have assembled, taken together, suggest that stable pattern noise is actually more significant than the other components of system noise.
45%
Flag icon
Overall, it appears that pattern noise contributes more than level noise.
45%
Flag icon
share of pattern noise in that total was roughly constant:
45%
Flag icon
level noise is the only form of noise that organizations can (sometimes) monitor without conducting noise audits.
46%
Flag icon
If there is more pattern noise than level noise, then these already-shocking findings understate the magnitude of the noise problem by at least a factor of two.
46%
Flag icon
next step is to analyze pattern noise by separating its two components.
46%
Flag icon
The variability of average sentencing among judges is already shocking.
46%
Flag icon
differences are highly personal but stable.
46%
Flag icon
In all these studies, individuals generally did not agree with one another, but they remained quite stable in their judgments. This “consistency without consensus,” in the researchers’ words, provides clear evidence of stable pattern noise.
46%
Flag icon
conclusion was unequivocal: this stable pattern noise was almost four times larger than level noise (stable pattern noise accounted for 26%, and level noise 7%, of total variance).
46%
Flag icon
The most important component of system noise is the one we had initially neglected: stable pattern noise,
46%
Flag icon
Noise is mostly a product not of level differences but of interactions:
46%
Flag icon
Noise is mostly a by-product of our uniqueness, of our “judgment personality.” Reducing level noise is still a worthwhile objective, but attaining only this objective would leave most of the problem of system noise without a solution.
46%
Flag icon
noise is rarely mentioned as a major factor in judgment.
46%
Flag icon
Why do we never invoke noise
46%
Flag icon
our ordinary way of making sense of the world around us makes it all but impossible to recognize the role of noise.
47%
Flag icon
a
47%
Flag icon
success story explains itself once the outcome is known.
47%
Flag icon
important gambles of the past easily become acts of genius or folly when their outcome is known.
47%
Flag icon
psychological bias
47%
Flag icon
fundamental attribution error is a strong tendency to assign blame or credit to agents for actions and outcomes that are better explained...
This highlight has been truncated due to consecutive passage length restrictions.
47%
Flag icon
bias, hin...
This highlight has been truncated due to consecutive passage length restrictions.
47%
Flag icon
another explanation for poor judgments has become common in recent decades: psychological bias.
47%
Flag icon
research in psychology and behavioral economics has documented a long list of psychological biases:
47%
Flag icon
A psychological bias that is identified only after the fact can still provide a useful, if tentative, explanation if it also offers a prediction about the future.
47%
Flag icon
empty explanations
47%
Flag icon
prevalent need for causal stories that make sense of experience.
47%
Flag icon
We naturally attend to the particular, following and creating causally coherent stories about individual cases, in which failures are often attributed to errors, and errors to biases.
47%
Flag icon
Noise is inherently statistical:
47%
Flag icon
variability in the backward-looking statistics
47%
Flag icon
Causally, noise is nowhere; statistically, it is everywhere.
47%
Flag icon
Causes are natural; statistics are difficult.
47%
Flag icon
The figure/ground demonstrations are an apt metaphor for our intuitions about bias and noise: bias is a compelling figure, while noise is the background to which we pay no attention.
47%
Flag icon
That is how we remain largely unaware of a large flaw in our judgment.
47%
Flag icon
can you tell if there was noise?”
47%
Flag icon
“We are rightly focused on reducing biases. Let’s also worry about reducing noise.”
47%
Flag icon
first step
47%
Flag icon
issue that deserves attention.
47%
Flag icon
recommend a noi...
This highlight has been truncated due to consecutive passage length restrictions.
47%
Flag icon
Noise is the variability of these judgments.
47%
Flag icon
there can be a large amount of noise even in the judgments of competent and well-trained professionals.
47%
Flag icon
replacing judgment with rules or algorithms is an option that you should consider, as it will eliminate noise entirely.
47%
Flag icon
The task of improving judgment is as urgent as ever, and it is the topic of this part of the book.
47%
Flag icon
most problems, the characteristics of superior judges are harder to discern.
47%
Flag icon
approaches to the reduction of judgment errors.
47%
Flag icon
many attempts to counteract psychological biases, with some clear failures and some clear successes.
47%
Flag icon
Appendix B provides an example of a bias checklist
47%
Flag icon
main focus in this part of the book: the fight against noise.
47%
Flag icon
decision h...
This highlight has been truncated due to consecutive passage length restrictions.
47%
Flag icon
but for ease of exposition, each chapter emphasizes a single decision hygiene strategy.
1 12 26