Data's Quotes

#1. All these subprime companies were calling and hollering at him: You're wrong. Your data's wrong. And he just hollered back at them, 'It's YOUR fucking data!

Michael Lewis

#2. If Big Data's two running stories have been surveillance and money, for the last three years I've been working on a third: the human story.

Christian Rudder

#3. And I think it's likely that there will be Data's out there one day. I hope so, if there are, that they all look exactly like me!

Brent Spiner

#4. You have to have access to ideas. The Internet is facilitating that access to ideas. In 25 years, the way that data's going to flow back and forth, we don't quite understand yet.

Michael Nesmith

#5. Over the years, online, we've laid down a huge amount of information and data, and we irrigate it with networks and connectivity, and it's been worked and tilled by unpaid workers and governments.

David McCandless

#6. And many of the alarmists on global warming, they've got a problem cause the science doesn't back them up. And in particular, satellite data demonstrate for the last 17 years, there's been zero warming. None whatsoever.

Ted Cruz

#7. If you are using search data to decide what's fashionable, you are not fashionable.

Peter Sagal

#8. Here you have a new technology, and if that technology is going to work, you must allow people to provide central indexes of the data. It's just like a newspaper that publishes classified ads.

David Boies

#9. The creative folks intuitively design what's best for the user, while data folks provide great insights. The true unicorns are those who can go end-to-end designing, building, measuring, analyzing, and iterating with a combination of user intuition and deep analytics.

Matthew Humphreys

#10. We have these services that people love and that are drivers of data usage ... and we want to work this out, so that way, it's a profitable model for our partners.

Mark Zuckerberg

#11. My interest is not data, it's the world. And part of world development you can see in numbers. Others, like human rights, empowerment of women, it's very difficult to measure in numbers.

Hans Rosling

#12. Although the method is simple, it shows how, mathematically, random brute force can overcome precise logic. It's a numerical approach that uses quantity to derive quality.

Liu Cixin

#13. Is the marketing effort designed to convey the candidate's convictions, or are the convictions expressed by the candidate the reflections of a "big data" research effort into individuals' likely preferences and prejudices?

Henry Kissinger

#14. All data leaves a trail. The search for data leaves a trail. The erasure of data leaves a trail. The absence of data, under the right circumstances, can leave the clearest trail of all.

C.S. Friedman

#15. What your opponent wants you to think is useful data in figuring out what they think. So get the early draft, okay?

James S.A. Corey

#16. Every time someone started shouting about the supposed monopoly of the Circle, or the Circle's unfair monetization of the personal data of its users, or some other paranoid and demonstrably false claim, soon enough it was revealed that that person was a criminal or deviant of the highest order.

Dave Eggers

#17. Parents who work outside the home are still capable of giving their children a loving and secure childhood. Some data even suggest that having two parents working outside the home can be advantageous to a child's development, particularly for girls.

Sheryl Sandberg

#18. The future of marketing isn't big data, it's big understanding.

Jay Baer

#19. I'm practical, very data-driven, and process-oriented. If I look at a radar and see a giant green blob coming toward me, I'm thinking it's probably going to snow.

Kevin Jorgeson

#20. It simply isn't acceptable for the likes of Google, Facebook, Amazon and others, which amass data by the terabyte, to say, 'Don't worry, your information's safe with us, as all sorts of rules protect you' - when all evidence suggests otherwise.

Maelle Gavet

#21. The data strongly suggest that very good years in the U.S. stock market are followed by more good years.

Barry Ritholtz

#22. Once you've produced the scientific data that's necessary to make a drug into a medicine, you've gone a long way towards mainstreaming the acceptance of these drugs as having beneficial properties. And then the step to legalization is not that far behind that.

Rick Doblin

#23. I would rather have racing without computers. The human side is forgotten, and instead of talking over what's happening and just trusting the feel of the driver, the data becomes almost more important.

Jacques Villeneuve

#24. The shell model, although proposed by theoreticians, really corresponds to the experimentalist's approach. It was born from a thorough study of the experimental data, plotting them in different ways, and looking for interconnections.

Maria Goeppert-Mayer

#25. We are deluged with information. We have to process now three times as much data as we would have done 50 years ago. We're bombarded with tweets, with emails - a state of continuous disruption - and that's bad for our decision making and bad for our thinking.

Noreena Hertz

#26. The former secretary of State is the nominee. She is also the Willie Sutton of classified data. And there is going to be a long-term effort of Republicans, whether it's Donald Trump, Marco Rubio, or Ted Cruz, to paint her into the corner.

Hugh Hewitt

#27. What's encouraging is that the early new platforms - Kindle and iPad - are clearly leading to people buying more books. The data is in on that.

Steven Johnson

#28. The average small-business owner uses 18 apps to run their business every day, and if those applications don't allow data to flow seamlessly and they don't integrate, it's going to become a point of friction. It's going to prevent the small business from being successful.

Brad D. Smith

#29. Although we leave traces of our personal lives with our credit cards and Web browsers today, tomorrow's mobile devices will broadcast clouds of personal data to invisible monitors all around us.

Howard Rheingold

#30. Most people think that aging is fatal and scientific data shows that that's not true.

Deepak Chopra

#31. If you just talk to who's easy to talk to, you're not really getting the best data.

Emmett Shear

#32. Much of what I do in my job is think about whether relationships we see in data are causal, as opposed to just reflecting correlations. It's exactly these issues which come up in evaluating studies in public health.

Emily Oster

#33. When writing gateway software of any kind, take pains to disturb the data stream as little as possible - and never throw away information unless the recipient forces you to!

Eric S. Raymond

#34. I stare out at the real world projected on the windows

Johnny Rich

#35. I believe that the data will set you free. At the end of the day, it's about how do you turn those pieces of information into insights that will improve business.

Steven Rice

#36. It's amazing how much data is out there. The question is how do we put it in a form that's usable?

Bill Ford

#37. The arm that carries the data. That's your wing.

Sam A. Patel

#38. The chief problem in historical honesty is not outright lying. It is omission or de-emphasis of important data. The definition of 'important', of course, depends on one's values.

Howard Zinn

#39. Since much of the ocean floor remains unexplored (except perhaps for still-classified data acquired by the U.S. and Soviet navies), we may know more about the surface topography of Venus than about any other planet, Earth included.

Carl Sagan

#40. You can't really discover the most interesting conflicts and problems in a subject until you've tried to write about them. At that point, one discovers discontinuities in the data, perhaps, or in one's own thinking; then the act of writing forces you to work harder to resolve these contradictions.

Anthony F. C. Wallace

#41. It's so cheap to store all data. It's cheaper to keep it than to delete it. And that means people will change their behavior because they know anything they say online can be used against them in the future.

Mikko Hypponen

#42. Big Data is just that - big. But, it's a term that is largely misunderstood and difficult to explain.

Rick Smolan

#43. The mandate for the CTO's office is to unleash the power of technology, data, and innovation on behalf of the nation. The CTO's office is really trying to bring best practices, possibilities, pilots, and policy advising.

Megan Smith

#44. The Centers for Disease Control (CDC) reports that the number of overweight adult Americans increased over 60 percent between 1991 and 2000. According to CDC data, the U.S. population of overweight children between ages two and five increased by almost 36 percent from 1989 to 1999.

Richard Louv

#45. I examine the data, as an expert, and pronounce a specialist's opinion. I claim no credit in such cases. My name figures in no newspaper. The work itself, the pleasure of finding a filed for my peculiar powers, is my highest reward.

Arthur Conan Doyle

#46. The ability to identify someone at a moment's notice by snapping a photo of him or her, to trigger an immediate influx of data about the person behind the face, will forever change the world.

Jan Chipchase

#47. Ageing is very exciting. But if I didn't work on ageing, I'd want to work on the brain. There are really cool techniques you can use now. And bioinformatics. The methods you can use for comparing large data sets - that's so powerful.

Cynthia Kenyon

#48. There's nothing so unreliable as figures, and everybody but a mathematician knows that. Figures lie right to your face.

Marjorie Benton Cooke

#49. There's strong data that, within companies, the No. 1 reason for ethical violations is the pressure to meet expectations, sometimes unrealistic expectations.

Stephen Covey

#50. It's difficult to imagine the power that you're going to have when so many different sorts of data are available.

Tim Berners-Lee

#51. The information highway is being sold to us as delivering information, but what it's really delivering is data ... Unlike data, information has utility, timeliness, accuracy, a pedigree ... Editors serve as barometers of quality, and most of an editor's time is spent saying no.

Clifford Stoll

#52. You can't tell what's aboard a container ship. We carried every kind of cargo, all of it on view: a police car, penicillin, Johnnie Walker Red, toilets, handguns, lumber, Ping-Pong balls, and IBM data cards.

Christopher Buckley

#53. We must speed up the deployment of broadband in order to bring high-speed data services to homes and businesses. The spread of information technology has contributed to a steady growth in U.S. productivity.

Michael Oxley

#54. For me art is a continuous discovery into reality, an exploration of visual data which has been going on for centuries, each artist contributing to the next generation's advancement. I wanted to go a step further and extend the boundaries.

Audrey Flack

#55. That's the chain of thinking: D-A-D-A. Getting data leads to analysis. Analysis leads to a decision. A decision leads to an action. Simple. That's how thinking works.

John Braddock

#56. In all our perceptions, from vision to hearing, to the pictures we build of people's character, our unconscious mind starts from whatever objective data is available to us - usually spotty - and helps to shape and construct the more complete picture we consciously perceive.

Leonard Mlodinow

#57. Everything's a data point.

Paul McAuley

#58. Fear is a far more dominant force in human behaviour than euphoria - I would never have expected that or given it a moment's thought before, but it shows up in the data in so many ways.

Alan Greenspan

#59. Daily life is an ongoing adaptation process of imprinting our memory's storage center with useful data and the ceaseless expurgation of undesirable facts, exfoliation of destructive thoughts, and weeding out annoying emotional quirks that seemingly sprout out of thin air.

Kilroy J. Oldster

#60. The best scientific minds of the system were staring at the data with their jaws slack, and the reason no one was panicking yet was that no one could agree on what they should panic about.

James S.A. Corey

#61. Once you have confidence in your instincts, you must never allow other people's refusal to believe, or their data to refute, what you instinctively know is true.

T.D. Jakes

#62. Washington is not a city that takes great pride in being a healthy place, necessarily. Now, I have no data. That's just my own observation.

Tom Rath

#63. Why don't I talk about Big Data? Because I am focused on intelligent answers and not speeds and feeds. It doesn't matter if it is quick if it's the wrong answer.

Michael J. Saylor

#64. I do read very, very quickly. I do process data very quickly. And so I write very quickly. And it is embarrassing because there is a conception that the things that you do quickly are not done well. I think that's probably one of the reasons I don't like the idea of prolific.

Jackie French

#65. 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

#66. Data. That's what matters. That's what tells us something. But people want to see pictures. Supernova in vivid color. Even though scientifically it's useless.

Marcus Sakey

#67. If you don't have the data you need, play with the data you have, see if something comes out of it.

James S.A. Corey

#68. The conjuror or con man is a very good provider of information. He supplies lots of data, by inference or direct statement, but it's false data. Scientists aren't used to that scenario. An electron or a galaxy is not capricious, nor deceptive; but a human can be either or both.

James Randi

#69. His doubts recall Benford's Law, a theory about the frequency with which digits will appear in data. One implication of this law is that datasets with lots of zeroes at the end often turn out to be fraudulent.

Simon Kuper

#70. Merely presenting a driver's license or other document based on a birth certificate is not enough for an accurate verification. Biometric verification of identity must be made and then a data base of those persons who have legal status must be checked.

Bob Dole

#71. I felt that the biological clock was some myth to keep me from doing what I wanted to do. And so I rebelled against it in the '90s. I thought it was a backlasher, some sort of faulty data. But it's real. I'm glad I woke up before my body was just like 'uh-uh.'

Lili Taylor

#72. The key to a solid foundation in data structures and algorithms is not an exhaustive survey of every conceivable data structure and its subforms, with memorization of each's Big-O value and amortized cost.

Robert Love

#73. What's needed now are software technologies that interconnect computing systems, people and data to produce more rapid answers to the questions of science, and to help researchers use computation in the most effective manner.

Bob Muglia

#74. There's a mountain of information about us. I mean there's so much. Anyway, I'm not an intelligence person. But I just look at it and it's a mountain of data.

Tim Cook

#75. I read so much data. There's so much information that comes my way. And there's got to be a way for me to delegate more.

Terry J. Lundgren

#76. I have never left the company. I keep a tiny residual salary to this day because that's where my loyalty should be forever. I want to be an "employee" on the company data base. I won't engineer, I'd rather be basically retired, due to my family. (talking about his relationship with Apple Inc)

Steve Wozniak

#77. There's a lot of scientific data that I found out as a scientist that actually show that this is really a young Earth.

Paul Broun

#78. And what is the primary datum? It's the felt presence of immediate experience. In other words, being here now is the primary datum.

Terence McKenna

#79. There's definitely a huge opportunity for businesses to transform their operations and decision making by using data.

Jerry Yang

#80. If we look at American history, between 1942 and 1947, the data that was collected by the Census Bureau was handed over to the FBI and other organizations at the request of President Roosevelt, and that's how the Japanese were rounded up and put into the internment camps.

Michele Bachmann

#81. I've seen how the issues that come across a president's desk are always the hard ones - the problems where no amount of data or numbers will get you to the right answer.

Michelle Obama

#82. The weaker the data available upon which to base one's conclusion, the greater the precision which should be quoted in order to give the data authenticity.

Norman Ralph Augustine

#83. There is a generation of skimmers. It's not that they don't want to read in-depth content, but they want to evaluate what the content is before they commit time. Especially on a mobile phone - you don't have the phone, or cellular data, or screen size to be reading full-length content.

Nick D'Aloisio

#84. There is no experimental data that exists that supports the view that the Earth's climate is changing in any dangerous way.

Willie Soon

#85. The outsourcing of our memory to machines expands the amount of data to which we have access, but degrades our brain's own ability to remember things.

Douglas Rushkoff

#86. Real data is messy ... It's all very noisy out there. Very hard to spot the tune. Like a piano in the next room, it's playing your song, but unfortunately it's out of whack, some of the strings are missing, and the pianist is tone deaf and drunk- I mean, the noise! Impossible!

Tom Stoppard

#87. The one thing that I have learned from all these projects is that the key to transformative change is to make the system see itself. That's why deep data matters. It matters to the future of our institutions, our societies, and our planet.

Otto Scharmer

#88. One person's data is another person's noise.

K.C. Cole

#89. We tend to assume that data is either private or public, either owned by one person or shared by many. In fact there's more to it than that, above and beyond the upsetting reality that private data is now anything but.

Nick Harkaway

#90. A lot of the data we collect is stuff that has to be analyzed on the ground. For instance, we can't see, you know, bone loss. Our cells, you know, that's something that we'll have to notice with imaging technology when I get back.

Scott Kelly

#91. A lot of data, whether it's imagery or other kinds of things, work really well when it's geographically laid out. I'm talking about imagery, statistics, incidents and other things that happen around the globe.

Jefferson Han

#92. Life is not meant to be an interstate highway. It's a winding mountain road with hills and dips, stop signs and school zones. Let friends and family be the data for your GPS satellite feed, and never forget that sometimes an unexpected detour leads to a hidden miracle.

Emily March

#93. We've got to use every piece of data and piece of information, and hopefully that will help us be accurate with our player evaluation. For us, that's our life blood.

Billy Beane

#94. I think it's going to be a very important, unique data set in terms of measuring the behavior of your lower body in space and trying to figure out what we can do to preserve bone and muscle density.

John L. Phillips

#95. Google, Facebook, and other consumer web companies violate our privacy. But that's only because they have an ad-based business model. They can only make money by selling your data - and degrading the product experience with ads.

Jose Ferreira

#96. The computer is here to stay, therefore it must be kept in its proper place as a tool and a slave, or we will become sorcerer's apprentices, with data data everywhere and not a thought to think.

Jesse Shera

#97. In the United States there's an optimistic expectation that most people will remain faithful to their partner, but actual data show great numbers of people will not.

Aziz Ansari

#98. Social security, bank account, and credit card numbers aren't just data. In the wrong hands they can wipe out someone's life savings, wreck their credit and cause financial ruin.

Melissa Bean

#99. As a physician, I understand how important it is to collect data on people so we can understand what's happening with them. I will be in the position to help enable that knowledge.

Laurel Clark

#100. Basic problem solving. If you don't have the data you need, play with the data you have, see if something comes out of it. She'd

James S.A. Corey