Short answers, pulled from the story.
Frank Knight published his groundbreaking work in 1921, distinguishing between measurable risks and immeasurable uncertainties. He argued that while risks can be insured because their probability distributions are defined, true uncertainties cannot be calculated or predicted.
Werner Heisenberg formulated a principle stating that an observer can never simultaneously know both the exact position and velocity of a particle. This limitation appears to be a fundamental property of nature itself rather than merely a lack of better tools.
The National Institute of Standards and Technology published Technical Note 1297 to guide researchers in evaluating their own results. These documents categorize uncertainties into Type A methods using statistics and Type B methods relying on other probability distributions.
Climate change deniers once advised framing global warming as an issue of scientific uncertainty to create doubt among the public. This strategy transformed complex indeterminacy into manageable uncertainty for mass consumption.
About 68.3% of repeated measurements fall within one standard deviation of the mean. Doubling that interval reduces the chance of missing the true value to roughly 4.6%.