government statistician Concepts

Our Dollar, Your Problem: An Insider’s View of Seven Turbulent Decades of Global Finance, and the Road Ahead

by Kenneth Rogoff · 27 Feb 2025 · 330pp · 127,791 words

quipped in a meeting that the methods for imputing financial-services output are “a dark art.” With almost 1.3 billion people, how can Chinese government statisticians possibly know what is happening in the smaller cities and rural villages? David explained that going back two thousand years, the emperors never really knew

Democracy's Data: The Hidden Stories in the U.S. Census and How to Read Them

by Dan Bouk · 22 Aug 2022 · 424pp · 123,180 words

the next decade. If the integrity of one census is destroyed, it weakens the integrity of all censuses.” On that same broadcast a high-ranking government statistician scolded one of Tobey’s allies, insisting that the census was “one of our most important non-partisan inquiries upon which every individual in the

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in the Commerce Department’s auditorium, Moriyama walked into that same colonnaded building to begin what would be a long and distinguished career as a government statistician. As he sat down to his first day of calculations, as he wrote his first memorandum, trying on his official status as a “biometrician,” the

Nervous States: Democracy and the Decline of Reason

by William Davies · 26 Feb 2019 · 349pp · 98,868 words

Grillo, Aaron Banks, Andrej Babis, or Peter Thiel claim to be leading a movement against elites? To which the answer is: unlike a journalist, a government statistician, a member of parliament, or a lawyer, the rich never claim to be speaking for anyone other than themselves. They make no claim to public

The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant From Two Centuries of Controversy

by Sharon Bertsch McGrayne · 16 May 2011 · 561pp · 120,899 words

had traditionally compiled statistics on unemployment, national income, housing, agriculture, and industry.1 Cornfield qualified as a bright guy, so he signed on as a government statistician for 26.31 a week, 1,368 a year. Washington, D.C., was still a segregated, southern city. “The rule of thumb was that, if

Sorting Things Out: Classification and Its Consequences

by Geoffrey C. Bowker and Susan Leigh Star · 25 Aug 2000 · 357pp · 125,142 words

can be seen as one of the tools bound up in the origins of the welfare state (Ewald 1986, see chapter 3): the epidemiologists and government statisticians who originally drew it up were concerned with large-scale public health measures. It has often silently accompanied all major epidemiological work of this century

IBM and the Holocaust

by Edwin Black · 30 Jun 2001 · 735pp · 214,791 words

Control, beginning in 1936, required uniform reporting procedures by key industries. In most cases, the installation of IBM machinery was mandatory in order to comply. Government statisticians and Dehomag had developed coding systems for virtually all raw materials and finished goods. Eventually, the coding system would make it possible for the Nazis

GDP: The World’s Most Powerful Formula and Why It Must Now Change

by Ehsan Masood · 4 Mar 2021 · 303pp · 74,206 words

the same room. The meeting lasted a week and took place in Sussex (rather than London), which minimized the chances of people leaving early. The government statisticians explained how they were caught in a tug-of-war. On the one side there was pressure from heads of government to make the figures

Sorting Things Out: Classification and Its Consequences (Inside Technology)

by Geoffrey C. Bowker · 24 Aug 2000

be seen as one of the tools bound up in the origins of the welfare state ( Ewald 1 986, see chapter 3 ) : the epidemiologists and government statisticians who 140 Chapter 4 originally drew it up were concerned with large-scale public health measures. It has often silently accompanied all major epidemiological work

Planet Ponzi

by Mitch Feierstein · 2 Feb 2012 · 393pp · 115,263 words

to base its numbers on the assumption that existing law would be implemented in full‌—‌that is, assuming the Bush tax cuts would expire. Although government statisticians themselves are honorable and truthful people, the dodges forced on them by government mean that we can’t trust their data. Or rather, we can

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methodology was clear. If the price of a fixed basket of goods went up by 1%, then inflation was 1% over the period in question. Government statisticians prefer to avoid this clarity and this rigor, and reweight the basket of goods each month in a way that reflects consumer efforts to avoid

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on this list have increased by at least 10% and in many cases much more than that over the course of a year. To a government statistician, these data provide firm evidence of the need for a fishmeal-and-oranges inflation index. To the rest of us, they’re evidence of a

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of detailed data about every sector and subsector of the economy in question. These data are churned out, with an impressive degree of timeliness, by government statisticians, and large quantities of data are published or made available online. Yet these data have for a long time now contained an anomaly, whose nature

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into finished goods and successfully marketing them to the end user. The concept allows us to explore who contributes what to economic value, and because government statisticians have compiled broadly the same types of data in broadly the same ways for a long time, it’s possible to see how those contributions

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4.7% of total economic output. The sector was still a small one, but no longer puny. Finance was starting to grow up. In 1977, government statisticians responded to the changing makeup and complexity of the economy by introducing a set of more finely grained economic categories. Finance and insurance as a

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so far, $2.5 trillion here or there is hardly critical.5 The same goes for most of the other countries on Planet Ponzi. British government statisticians, for example, reckon that the country has a net ‘international investment position’ of minus £180 billion. That’s equivalent to just over a month’s

Shape: The Hidden Geometry of Information, Biology, Strategy, Democracy, and Everything Else

by Jordan Ellenberg · 14 May 2021 · 665pp · 159,350 words

who in the 1950s and ’60s pioneered the application of mathematical models to problems of commerce. But back in 1942, he was a U.S. government statistician, six years out of college, where he had decided to focus on mathematics after concluding he had no future in his first-choice avocation, poetry