Quotes about data
page 5

Vannevar Bush photo
Herbert A. Simon photo

“Now the salient characteristic of the decision tools employed in management science is that they have to be capable of actually making or recommending decisions, taking as their inputs the kinds of empirical data that are available in the real world, and performing only such computations as can reasonably be performed by existing desk calculators or, a little later electronic computers. For these domains, idealized models of optimizing entrepreneurs, equipped with complete certainty about the world - or, a worst, having full probability distributions for uncertain events - are of little use. Models have to be fashioned with an eye to practical computability, no matter how severe the approximations and simplifications that are thereby imposed on them…
The first is to retain optimization, but to simplify sufficiently so that the optimum (in the simplified world!) is computable. The second is to construct satisficing models that provide good enough decisions with reasonable costs of computation. By giving up optimization, a richer set of properties of the real world can be retained in the models… Neither approach, in general, dominates the other, and both have continued to co-exist in the world of management science.”

Herbert A. Simon (1916–2001) American political scientist, economist, sociologist, and psychologist

Source: 1960s-1970s, "Rational decision making in business organizations", Nobel Memorial Lecture 1978, p. 498; As cited in: Arjang A. Assad, ‎Saul I. Gass (2011) Profiles in Operations Research: Pioneers and Innovators. p. 260-1.

Willem de Sitter photo
Kevin Kelly photo

“When we permit any object to transmit a small amount of data and to receive input from its neighborhood, we change an inert object into an animated node.”

Kevin Kelly (1952) American author and editor

Out of Control: The New Biology of Machines, Social Systems and the Economic World (1995), New Rules for the New Economy: 10 Radical Strategies for a Connected World (1999)

“The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data.”

John Tukey (1915–2000) American mathematician

Sunset salvo. The American Statistician 40 (1). Online at http://www.jstor.org/pss/2683137

Francis Crick photo
Jane Roberts photo
Friedrich Hayek photo
Koenraad Elst photo
Kage Baker photo
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Michael J. Behe photo

“Under my definition, a scientific theory is a proposed explanation which focuses or points to physical, observable data and logical inferences. There are many things throughout the history of science which we now think to be incorrect which nonetheless would fit that — which would fit that definition. Yes, astrology is in fact one.”

Michael J. Behe (1952) American biochemist, author, and intelligent design advocate

testimony in Kitzmiller v. Dover Area School District, trial transcript: day 11 http://www.talkorigins.org/faqs/dover/day11pm.html#day11pm132 (18 October 2005).

“The scientistic sociologist wishes people to feel that he is just as empirical and thoroughgoing as the natural scientist, and that his conclusions are based just as relentlessly on observed data. The desire to present this kind of façade accounts, one may suspect, for the many examples and the extensive use of statistical tables found in the works of some of them. It has been said of certain novelists that they create settings having such a wealth of realistic detail that the reader assumes that the plot which is to follow will be equally realistic, when this may be far from the case. What happens is that the novelist disarms the reader with the realism of his setting in order that he may “get away with murder” in his plot. The persuasiveness of the scene is thus counted on to spill over into the action of the story. In like manner, when a treatise on social science is filled with this kind of data, the realism of the latter can influence our acceptance of the thesis, which may, on scrutiny, rest on very dubious constructs, such as definitions of units. Along with this there is sometimes a great display of scientific preciseness in formulations. But my reading suggests that some of these writers are often very precise about matters which are not very important and rather imprecise about matters which are. Most likely this is an offsetting process. If there are subjects one cannot afford to be precise about because they are too little understood or because one’s views of them are too contrary to traditional beliefs about society, one may be able to maintain an appearance of scientific correctness by taking great pains in the expressing of matters of little consequence. These will afford scope for a display of scholarly meticulousness and of one’s command of the scientific terminology.”

Richard M. Weaver (1910–1963) American scholar

“Concealed Rhetoric in Scientistic Sociology,” pp. 148-149.
Language is Sermonic (1970)

“Science in the past (and partly in the present), was dominated by one-sided empiricism. Only a collection of data and experiments were considered as being ‘scientific’ in biology (and psychology); forgetting that a mere accumulation of data, although steadily piling up, does not make a science.”

Ludwig von Bertalanffy (1901–1972) austrian biologist and philosopher

Source: General System Theory (1968), 4. Advances in General Systems Theory, p. 100 cited in: Edward Goldsmith (1970-73/2013) Towards a Unified Science http://www.edwardgoldsmith.org/598/

Ferdinand Foch photo

“The first sentence of the actual Life of Alexander lives up to Plutarch's warning words. 'Alexander's descent, as a Heraclid on his father's side from Caranus, and as an Aeacid on his mother's side from Neoptolemus, is one of the matters which have been completely trusted.' While the Heraclid and Aeacid descent went unquestioned by ancient writers, the citation of Caranus as the founding father in Macedonia and so analogous to Neoptolemus in Molossia was not only controversial but must have been known to be controversial by Plutarch. For he was conversant with the histories of Herodotus and Thucydides. which had looked to Perdiccas as the founding father in Macedonia. Caranus was inserted as a forerunner of Perdiccas in Macedonia only at the turn of the fifth century: he appeared as such in the works of fourth-century writers, such as Marsyas the Macedonian historian (FGrH 135/6 i- 14) who on my analysis was used by Pompeius Trogus (Prologue 7 'origines Macedonicae regesque a conditorc gentis Carano'). Thus the dogmatic statement of Plutarch, that Caranus was the forerunner, should have been qualified, if he had been writing scientific history. But because the statement conveyed a belief which Alexander certainly held in his lifetime it was justified in the eyes of a biographer and in the eyes of those who were more concerned with biographical background than with historical facts. If Plutarch had been challenged, he would no doubt have claimed that his belief was based on his own wide reading of authors who had studied the origins of Macedonia and provided 'completely trusted' data.”

N. G. L. Hammond (1907–2001) British classical scholar

"Sources for Alexander the Great: An Analysis of Plutarch's 'Life' and Arrian's 'Anabasis Alexandrou'", p.5, Cambridge Classical Studies

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William John Macquorn Rankine photo
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Friedrich Hayek photo

“My whole concept of economics is based on the idea that we have to explain how prices operate as signals, telling people what they ought to do in particular circumstances. The approach to this problem has been blocked by a cost or labor theory of value, which assumes that prices are determined by the technical conditions of production only. The important question is to explain how the interaction of a great number of people, each possessing only limited knowledge, will bring about an order that could only be achieved by deliberate direction taken by somebody who has the combined knowledge of all these individuals. However, central planning cannot take direct account of particular circumstances of time and place. Additionally, every individual has important bits of information which cannot possibly be conveyed to a central authority in statistical form. In a system in which the knowledge of relevant data is dispersed among millions of agents, prices can act to coordinate the separate actions of different individuals.
Given this context, it is intellectually not satisfactory to attempt to establish causal relations between aggregates or averages in the manner in which the discipline of macroeconomics has attempted to do. Individuals do not make decisions on the basis of partial knowledge of magnitudes such as the total amount of production, or the total quantity of money. Aggregative theorizing leads nowhere.”

Friedrich Hayek (1899–1992) Austrian and British economist and Nobel Prize for Economics laureate

1960s–1970s, A Conversation with Professor Friedrich A. Hayek (1979)

Thomas Sowell photo

“Both history and contemporary data show that countries prosper more when there are stable and dependable rules, under which people can make investments without having to fear unpredictable new government interventions before these investments can pay off.”

Thomas Sowell (1930) American economist, social theorist, political philosopher and author

Economic 'Plan'?" September 11, 2012 http://lewrockwell.com/sowell/sowell110.html="An.
2010s

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“We find a set of data that strongly implies the presence of complex organic molecules in the outer solar system.”

Carl Sagan (1934–1996) American astrophysicist, cosmologist, author and science educator

The Varieties of Scientific Experience: A Personal View of the Search for God (2006)

“The document normally kicks off with a lengthy description of current industry conditions and the competitive situation. Next is a discussion of how to increase market share, capture new segments, or cut costs, followed by an outline of numerous goals and initiatives. A full budget is almost invariably attached, as are lavish graphs and a surfeit of spreadsheets. The process usually culminates in the preparation of a large document culled from a mishmash of data provided by people from various parts of the organization who often have conflicting agendas… Executives are paralyzed by the muddle. Few employees deep down in the company even know what the strategy is.”

Description of how an average strategic plan is being created. Kim further explains, that "... a closer look reveals that most plans don’t contain a strategy at all but rather a smorgasbord of tactics that individually make sense but collectively don’t add up to a unified, clear direction that sets a company apart—let alone makes the competition irrelevant. [p. 84]"
Source: Blue Ocean Strategy, 2005, p. 83-84 (2016 extended edition) As cited in: Paul R. Niven (2010). Balanced Scorecard Step-by-Step. p. 99

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Fred Brooks photo

“The programmer's primary weapon in the never-ending battle against slow system is to change the intramodular structure. Our first response should be to reorganize the modules' data structures.”

Fred Brooks (1931) American computer scientist

Brooks (1975, Chapter 9) as quoted in Code Complete: A Practical Handbook of Software Construction, by Steve C. McConnell

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“[Overall level questions involved an] understanding of the deep structure of the data being presented in their totality, usually comparing trends and seeing groupings.”

Jacques Bertin (1918–2010) French geographer and cartographer

Source: Semiology of graphics (1967/83), p. 16; as cited in: Stacy Kathryn Keller (2008) Levels of Line Graph Question Interpretation.... p. 6

Kent Beck photo
Newton Lee photo

“The Good, the Bad and the Ugly: data brokers are like the Wild West -- untamed and without governance.”

Newton Lee American computer scientist

Facebook Nation: Total Information Awareness (2nd Edition), 2014

William Gibson photo

“All any drug amounts to is tweaking the incoming data. You have to be incredibly self-centered or pathetic to be satisfied with simply tweaking the incoming data.”

William Gibson (1948) American-Canadian speculative fiction novelist and founder of the cyberpunk subgenre

No Maps for These Territories (2000)

Tim Cook photo

“We reject the excuse that getting the most out of technology means trading away your right to privacy. So we choose a different path, collecting as little of your data as possible, being thoughtful and respectful when it's in our care because we know it belongs to you.”

Tim Cook (1960) American business executive

CNN: "Apple's Tim Cook urges Duke graduates to think hard about data privacy" http://money.cnn.com/2018/05/13/technology/tim-cook-duke-graduation-speech/index.html (13 May 2018)

Prasanta Chandra Mahalanobis photo

“In India, there's lack of appreciation of the need to cross-examine data, the responsibility of a statistician.”

Prasanta Chandra Mahalanobis (1893–1972) Indian scientist

In Quotations by 60 Greatest Indians, Dhirubhai Ambani Institute of Information and Communication Technology http://resourcecentre.daiict.ac.in/eresources/iresources/quotations.html,
Quote

Arthur Koestler photo

“Man has the hardest job of all, the job of making decisions on incomplete data.”

Henry Kuttner (1915–1958) American author

Home There’s No Returning (p. 80)
Short fiction, No Boundaries (1955)

Paul A. Samuelson photo
Frank Wilczek photo
Tim Cook photo

“The privacy thing has gotten totally out of control. I think most people are not aware of who is tracking them, how much they're being tracked and sort of the large amounts of detailed data that are out there about them.”

Tim Cook (1960) American business executive

CNN Tech: "Tim Cook reveals his tech habits: I use my phone too much" http://money.cnn.com/2018/06/04/technology/apple-tim-cook-screen-time/index.html (4 June 2018)

Robert A. Heinlein photo

“I said, “What do you think about it, Paul?”
The boss smiled gently. “I don’t. I haven’t enough data.””

Source: Farmer in the Sky (1950), Chapter 18, “Pioneer Party” (pp. 193-194)

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Jerry Coyne photo

“If religion makes a society happier, there’s no data to show that. All we see is that on average countries that are well off are less religious and are happier; and that goes for U. S. states as well. Checkmate, religionists.”

Jerry Coyne (1949) American biologist

" 2018 data: Across countries, the happiest ones are the least religious https://whyevolutionistrue.wordpress.com/2018/03/22/2018-data-across-countries-the-happiest-ones-are-the-least-religious/" March 22, 2018

Willem de Sitter photo
Aron Ra photo
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Newton Lee photo

“Not only that “every dog has its day”, but also that “every dog has its data” in the digital information age.”

Newton Lee American computer scientist

Facebook Nation: Total Information Awareness (2nd Edition), 2014

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Paul Allen photo

“My style was to absorb all the data I could to make the best-informed decision possible, sometimes to the point of over-analysis.”

Paul Allen (1953–2018) American inventor, investor and philanthropist

Idea Man (2012)

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“The Noisiest buzz in the industry lately has been over the emerging use of cable TV systems to provide fast network data transmissions using a device called a cable modem. But the likelihood of this technology succeeding is zilch.”

John C. Dvorak (1952) US journalist and radio broadcaster

"The Looming Cable Modem Fiasco" in PC Magazine (12 September 1995) http://web.archive.org/web/20000118075802/www.zdnet.com/pcmag/issues/1415/pcm00059.htm
1980s & 1990s

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“I am trying to put the distributional question and the study of long-run trends back at the heart of economic analysis. In that sense, I am pursuing a tradition which was pioneered by the economists of the 19th century, including David Ricardo and Karl Marx. One key difference is that I have a lot more historical data. With the help of Tony Atkinson, Emmanuel Saez, Facundo Alvaredo, Gilles Postel-Vinay, Jean-Laurent Rosenthal, Gabriel Zucman and many other scholars, we have been able to collect a unique set of data covering three centuries and over 20 countries. This is by far the most extensive database available in regard to the historical evolution of income and wealth. This book proposes an interpretative synthesis based upon this collective data collection project.”

Thomas Piketty (1971) French economist

Eduardo Porter, " Q&A: Thomas Piketty on the Wealth Divide http://economix.blogs.nytimes.com/2014/03/11/qa-thomas-piketty-on-the-wealth-divide/?_php=true&_type=blogs&_r=0," economix.blogs.nytimes.com, March 11, 2014.
In answer of the question: "Your book fits oddly into the canon of contemporary economics. It focuses not on growth and its determinants, but on how the spoils of growth are divided. In that sense, it reminds us of similar concerns in a book of similar title written 150 years ago: Karl Marx’s “Capital.” What parallels would you draw between the two?"

Judea Pearl photo
Adam Roberts photo

“Suppose then I want to give myself a little training in the art of reasoning; suppose I want to get out of the region of conjecture and probability, free myself from the difficult task of weighing evidence, and putting instances together to arrive at general propositions, and simply desire to know how to deal with my general propositions when I get them, and how to deduce right inferences from them; it is clear that I shall obtain this sort of discipline best in those departments of thought in which the first principles are unquestionably true. For in all 59 our thinking, if we come to erroneous conclusions, we come to them either by accepting false premises to start with—in which case our reasoning, however good, will not save us from error; or by reasoning badly, in which case the data we start from may be perfectly sound, and yet our conclusions may be false. But in the mathematical or pure sciences,—geometry, arithmetic, algebra, trigonometry, the calculus of variations or of curves,—we know at least that there is not, and cannot be, error in our first principles, and we may therefore fasten our whole attention upon the processes. As mere exercises in logic, therefore, these sciences, based as they all are on primary truths relating to space and number, have always been supposed to furnish the most exact discipline. When Plato wrote over the portal of his school. “Let no one ignorant of geometry enter here,” he did not mean that questions relating to lines and surfaces would be discussed by his disciples. On the contrary, the topics to which he directed their attention were some of the deepest problems,—social, political, moral,—on which the mind could exercise itself. Plato and his followers tried to think out together conclusions respecting the being, the duty, and the destiny of man, and the relation in which he stood to the gods and to the unseen world. What had geometry to do with these things? Simply this: That a man whose mind has not undergone a rigorous training in systematic thinking, and in the art of drawing legitimate inferences from premises, was unfitted to enter on the discussion of these high topics; and that the sort of logical discipline which he needed was most likely to be obtained from geometry—the only mathematical science which in Plato’s time had been formulated and reduced to a system. And we in this country [England] have long acted on the same principle. Our future lawyers, clergy, and statesmen are expected at the University to learn a good deal about curves, and angles, and numbers and proportions; not because these subjects have the smallest relation to the needs of their lives, but because in the very act of learning them they are likely to acquire that habit of steadfast and accurate thinking, which is indispensable to success in all the pursuits of life.”

Joshua Girling Fitch (1824–1903) British educationalist

Source: Lectures on Teaching, (1906), pp. 291-292

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James Comey photo
Daniel Dennett photo

“I have grown accustomed to the disrespect expressed by some of the participants for their colleagues in the other disciplines. "Why, Dan," ask the people in artificial intelligence, "do you waste your time conferring with those neuroscientists? They wave their hands about 'information processing' and worry about where it happens, and which neurotransmitters are involved, but they haven't a clue about the computational requirements of higher cognitive functions." "Why," ask the neuroscientists, "do you waste your time on the fantasies of artificial intelligence? They just invent whatever machinery they want, and say unpardonably ignorant things about the brain." The cognitive psychologists, meanwhile, are accused of concocting models with neither biological plausibility nor proven computational powers; the anthropologists wouldn't know a model if they saw one, and the philosophers, as we all know, just take in each other's laundry, warning about confusions they themselves have created, in an arena bereft of both data and empirically testable theories. With so many idiots working on the problem, no wonder consciousness is still a mystery. All these charges are true, and more besides, but I have yet to encounter any idiots. Mostly the theorists I have drawn from strike me as very smart people – even brilliant people, with the arrogance and impatience that often comes with brilliance – but with limited perspectives and agendas, trying to make progress on the hard problems by taking whatever shortcuts they can see, while deploring other people's shortcuts. No one can keep all the problems and details clear, including me, and everyone has to mumble, guess and handwave about large parts of the problem.”

Consciousness Explained (1991)

Daniel Dennett photo

“In a Thumbnail Sketch here is [the Multiple Drafts theory of consciousness] so far:There is no single, definitive "stream of consciousness," because there is no central Headquarters, no Cartesian Theatre where "it all comes together" for the perusal of a Central Meaner. Instead of such a single stream (however wide), there are multiple channels in which specialist circuits try, in parallel pandemoniums, to do their various things, creating Multiple Drafts as they go. Most of these fragmentary drafts of "narrative" play short-lived roles in the modulation of current activity but some get promoted to further functional roles, in swift succession, by the activity of a virtual machine in the brain. The seriality of this machine (its "von Neumannesque" character) is not a "hard-wired" design feature, but rather the upshot of a succession of coalitions of these specialists.The basic specialists are part of our animal heritage. They were not developed to perform peculiarly human actions, such as reading and writing, but ducking, predator-avoiding, face-recognizing, grasping, throwing, berry-picking, and other essential tasks. They are often opportunistically enlisted in new roles, for which their talents may more or less suit them. The result is not bedlam only because the trends that are imposed on all this activity are themselves part of the design. Some of this design is innate, and is shared with other animals. But it is augmented, and sometimes even overwhelmed in importance, by microhabits of thought that are developed in the individual, partly idiosyncratic results of self-exploration and partly the predesigned gifts of culture. Thousands of memes, mostly borne by language, but also by wordless "images" and other data structures, take up residence in an individual brain, shaping its tendencies and thereby turning it into a mind.”

Source: Consciousness Explained (1991), p. 253–4.

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Martin Fowler photo

“Because when you look at data going; you can't know "oh, that's a terrorist" and "that's not a terrorist", you probably have to look at more people to find who is a potential terrorist.”

Freedom of expression online: Interplay of human rights and ICT (a Greens-EFa public hearing), the European Parliament, May 05 2011 [rtmpt://82.197.155.68:80/vod/20110505_feo_part2.f4v]
Context: I think if you look at the general public, if you can catch - I mean, yes, there's always risk to privacy. Because when you look at data going; you can't know "oh, that's a terrorist" and "that's not a terrorist", you probably have to look at more people to find who is a potential terrorist. But I think that you cannot belittle the need to use all possible means to avoid if only one terrorist attack.

Lawrence Lessig photo

“While the creative works from the 16th century can still be accessed and used by others, the data in some software programs from the 1990s is already inaccessible.”

Lawrence Lessig (1961) American academic, political activist.

May the Source Be With You (2001)
Context: While the creative works from the 16th century can still be accessed and used by others, the data in some software programs from the 1990s is already inaccessible. Once a company that produces a certain product goes out of business, it has no simple way to uncover how its product encoded data. The code is thus lost, and the software is inaccessible. Knowledge has been destroyed.

Umberto Eco photo

“Philosophical entities exist only insofar as they have been philosophically posited. Outside their philosophical framework, the empirical data that a philosophy organizes lose every possible unity and cohesion.”

[O] : Introduction, 0.6
Semiotics and the Philosophy of Language (1984)
Context: When semiotics posits such concepts as 'sign', it does not act like a science; it acts like philosophy when it posits such abstractions as subject, good and evil, truth or revolution. Now, a philosophy is not a science, because its assertions cannot be empirically tested … Philosophical entities exist only insofar as they have been philosophically posited. Outside their philosophical framework, the empirical data that a philosophy organizes lose every possible unity and cohesion.
To walk, to make love, to sleep, to refrain from doing something, to give food to someone else, to eat roast beef on Friday — each is either a physical event or the absence of a physical event, or a relation between two or more physical events. However, each becomes an instance of good, bad, or neutral behavior within a given philosophical framework. Outside such a framework, to eat roast beef is radically different from making love, and making love is always the same sort of activity independent of the legal status of the partners. From a given philosophical point of view, both to eat roast beef on Friday and to make love to x can become instances of 'sin', whereas both to give food to someone and to make love to у can become instances of virtuous action.
Good or bad are theoretical stipulations according to which, by a philosophical decision, many scattered instances of the most different facts or acts become the same thing. It is interesting to remark that also the notions of 'object', 'phenomenon', or 'natural kind', as used by the natural sciences, share the same philosophical nature. This is certainly not the case of specific semiotics or of a human science such as cultural anthropology.

“Not only because you can't understand quantum physics without this new metaphysics but also because the new paradigm resolves many other paradoxes of the old paradigm and explains much anomalous data.”

Amit Goswami (1936) American physicist

Interview with Suzie Daggett at Insight: Healthy Living (July 2006).
Context: Mystics, contrary to religionists, are always saying that reality is not two things — God and the world — but one thing, consciousness. It is a monistic view of reality based on consciousness that mystics claim to directly intuit. The problem with science has always been that most scientists believe that science must be done within a different monistic framework, one based on the primacy of matter. And then, quantum physics showed us that we must change that myopic prejudice of scientists, otherwise we cannot comprehend quantum physics. So now we have science within consciousness, a new paradigm of science based on the primacy of consciousness that is gradually replacing the old materialist science. Why? Not only because you can't understand quantum physics without this new metaphysics but also because the new paradigm resolves many other paradoxes of the old paradigm and explains much anomalous data.

Thomas Edison photo

“We really haven't got any great amount of data on the subject, and without data how can we reach any definite conclusions?”

Thomas Edison (1847–1931) American inventor and businessman

As quoted in Thomas A. Edison, Benefactor of Mankind : The Romantic Life Story of the World's Greatest Inventor (1931) by Francis Trevelyan Miller, Ch. 25 : Edison's Views on Life — His Philosophy and Religion, p. 295.
Context: We really haven't got any great amount of data on the subject, and without data how can we reach any definite conclusions? All we have — everything — favors the idea of what religionists call the "Hereafter." Science, if it ever learns the facts, probably will find another more definitely descriptive term.

Grace Hopper photo

“We must include in any language with which we hope to describe complex data-processing situations the capability for describing data.”

Grace Hopper (1906–1992) American computer scientist and United States Navy officer

As quoted in Management and the Computer of the Future (1962) by Sloan School of Management, p. 273
Context: We must include in any language with which we hope to describe complex data-processing situations the capability for describing data. We must also include a mechanism for determining the priorities to be applied to the data. These priorities are not fixed and are indicated in many cases by the data.
Thus we must have a language and a structure that will take care of the data descriptions and priorities, as well as the operations we wish to perform. If we think seriously about these problems, we find that we cannot work with procedures alone, since they are sequential. We need to define the problem instead of the procedures. The Language Structures Group of the Codasyl Committee has been studying the structure of languages that can be used to describe data-processing problems. The Group started out by trying to design a language for stating procedures, but soon discovered that what was really required was a description of the data and a statement of the relationships between the data sets. The Group has since begun writing an algebra of processes, the background for a theory of data processing.
Clearly, we must break away from the sequential and not limit the computers. We must state definitions and provide for priorities and descriptions of data. We must state relationships, not procedures.

“FB isn’t a social media company, it is a data tracking company.
Why care that they track this data? Think the future, not just today.”

Chet Faliszek (1965) video game writer

https://twitter.com/chetfaliszek/status/980861065989783552 (2 April 2018).
Context: I recently posted about Oculus/Facebook and their data collection. Let me go more in depth and this isn’t just about today this is about the future of XR. At the heart of the matter are these points where their and actions differ from other XR companies.
FB tracks and stores all device movement and location. They also have wording to allow them to track all communication and interaction with their services. They have been caught capturing call and sms data on android phones through their FB app using similar language.
FB doesn’t have a Hardware guy in charge of Oculus Hardware – instead, they have Boz – an ad guy, a data guy who recently made thoughts on your value as a FB user very clear. And if you are still confused, FB isn’t a social media company, it is a data tracking company.
Why care that they track this data? Think the future, not just today. When there are XR apps and devices that you use regularly outside your home. Where natural feature tracking means cameras and microphones strapped to your head recording and saving everything.
...
So it isn’t just Facebook and what they will do with this data, but this data’s existence is a threat to our privacy and freedom.

Grace Hopper photo

“These priorities are not fixed and are indicated in many cases by the data.
Thus we must have a language and a structure that will take care of the data descriptions and priorities, as well as the operations we wish to perform.”

Grace Hopper (1906–1992) American computer scientist and United States Navy officer

As quoted in Management and the Computer of the Future (1962) by Sloan School of Management, p. 273
Context: We must include in any language with which we hope to describe complex data-processing situations the capability for describing data. We must also include a mechanism for determining the priorities to be applied to the data. These priorities are not fixed and are indicated in many cases by the data.
Thus we must have a language and a structure that will take care of the data descriptions and priorities, as well as the operations we wish to perform. If we think seriously about these problems, we find that we cannot work with procedures alone, since they are sequential. We need to define the problem instead of the procedures. The Language Structures Group of the Codasyl Committee has been studying the structure of languages that can be used to describe data-processing problems. The Group started out by trying to design a language for stating procedures, but soon discovered that what was really required was a description of the data and a statement of the relationships between the data sets. The Group has since begun writing an algebra of processes, the background for a theory of data processing.
Clearly, we must break away from the sequential and not limit the computers. We must state definitions and provide for priorities and descriptions of data. We must state relationships, not procedures.

Virgil photo

“Data fata secutus.”

Following what is decreed by fate.
Source: Aeneid (29–19 BC), Book I, Line 382

Edward de Bono photo
Kakuzo Okakura photo
Robert Sheckley photo
Ernest Gellner photo
Wendy Doniger photo
Immanuel Kant photo
Poul Anderson photo

“Let’s stop making wild guesses and start gathering data.”

Poul Anderson (1926–2001) American science fiction and fantasy writer

Epilogue (p. 122)
Short fiction, The Book of Poul Anderson (1975)

Sabine Hossenfelder photo
Arno Allan Penzias photo

“The best data we have are exactly what I would have predicted, had I nothing to go on but the five books of Moses, the Psalms, the Bible as a whole.”

Arno Allan Penzias (1933) American physicist

New York Times, March 12, 1978, as cited in Bergman 1994, 183.

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Dharampal photo