Data Quotes

Quotes tagged as "data" (showing 1-30 of 133)
Arthur Conan Doyle
“It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.”
Sir Arthur Conan Doyle, Sherlock Holmes

Ray Bradbury
“If you don't want a man unhappy politically, don't give him two sides to a question to worry him; give him one. Better yet, give him none. Let him forget there is such a thing as war. If the government is inefficient, top-heavy, and tax-mad, better it be all those than that people worry over it. Peace, Montag. Give the people contests they win by remembering the words to more popular songs or the names of state capitals or how much corn Iowa grew last year. Cram them full of noncombustible data, chock them so damned full of 'facts' they feel stuffed, but absolutely 'brilliant' with information. Then they'll feel they're thinking, they'll get a sense of motion without moving. And they'll be happy, because facts of that sort don't change.”
Ray Bradbury, Fahrenheit 451

Brené Brown
“Maybe stories are just data with a soul.”
Brené Brown

“If we have data, let’s look at data. If all we have are opinions, let’s go with mine.”
Jim Barksdale

Leonard Mlodinow
“Perception requires imagination because the data people encounter in their lives are never complete and always equivocal. For example, most people consider that the greatest evidence of an event one can obtain is to see it with their own eyes, and in a court of law little is held in more esteem than eyewitness testimony. Yet if you asked to display for a court a video of the same quality as the unprocessed data catptured on the retina of a human eye, the judge might wonder what you were tryig to put over. For one thing, the view will have a blind spot where the optic nerve attaches to the retina. Moreover, the only part of our field of vision with good resolution is a narrow area of about 1 degree of visual angle around the retina’s center, an area the width of our thumb as it looks when held at arm’s length. Outside that region, resolution drops off sharply. To compensate, we constantly move our eyes to bring the sharper region to bear on different portions of the scene we wish to observe. And so the pattern of raw data sent to the brain is a shaky, badly pixilated picture with a hole in it. Fortunately the brain processes the data, combining input from both eyes, filling in gaps on the assumption that the visual properties of neighboring locations are similar and interpolating. The result - at least until age, injury, disease, or an excess of mai tais takes its toll - is a happy human being suffering from the compelling illusion that his or her vision is sharp and clear.

We also use our imagination and take shortcuts to fill gaps in patterns of nonvisual data. As with visual input, we draw conclusions and make judgments based on uncertain and incomplete information, and we conclude, when we are done analyzing the patterns, that out “picture” is clear and accurate. But is it?”
Leonard Mlodinow, The Drunkard's Walk: How Randomness Rules Our Lives

Paolo Bacigalupi
“Pure data. You don’t believe data—you test data.” He grimaced. “If I could put my finger on the moment we genuinely fucked ourselves, it was the moment we decided that data was something you could use words like believe or disbelieve around.”
Paolo Bacigalupi, The Water Knife

Pierre-Simon Laplace
“We ought to regard the present state of the universe as the effect of its antecedent state and as the cause of the state that is to follow. An intelligence knowing all the forces acting in nature at a given instant, as well as the momentary positions of all things in the universe, would be able to comprehend in one single formula the motions of the largest bodies as well as the lightest atoms in the world, provided that its intellect were sufficiently powerful to subject all data to analysis; to it nothing would be uncertain, the future as well as the past would be present to its eyes. The perfection that the human mind has been able to give to astronomy affords but a feeble outline of such an intelligence.”
Pierre Simon de Laplace

K.C. Cole
“One person's data is another person's noise.”
K.C. Cole

Marc Bekoff
“The plural of anecdote is not data.”
Marc Bekoff

Stewart Brand
“Information wants to be free.”
Stewart Brand

Robin Wasserman
“Now I existed solely thanks to the quantum paradox, my brain a collection of qubits in quantum superposition, encoding truths and memories, imagination and irrationality in opposing, contradictory states that existed and didn't exist, all at the same time.”
Robin Wasserman, Crashed

“Things get done only if the data we gather can inform and inspire those in a position to make difference.”
Mike Schmoker, Results

“The brain, he writes, is like Kublai Khan, the great Mongol emperor of the thirteenth century. It sits enthroned in its skull, "encased in darkness and silence," at a lofty remove from brute reality. Messengers stream in from every corner of the sensory kingdom, bringing word of distant sights, sounds, and smells. Their reports arrive at different rates, often long out of date, yet the details are all stitched together into a seamless chronology. The difference is that Kublai Khan was piecing together the past. The brain is describing the present—processing reams of disjointed data on the fly, editing everything down to an instantaneous now. How does it manage it?”
Burkhard Bilger

Mike A. Lancaster
“We simply don’t have enough data to form a conclusion”
Mike A. Lancaster, Human.4

“Aim for simplicity in Data Science. Real creativity won’t make things more complex. Instead, it will simplify them.”
Damian Duffy Mingle

John Maeda
“Although data can make a compelling case for something, data rarely create the emotions needed to spur people into action”
John Maeda

“In Data Science if you want to help individuals, be empathetic and ask questions; that way, you can begin to understand their journey, too.”
Damian Mingle

“I'm sure, the highest capacity of storage device, will not enough to record all our stories; because, everytime with you is very valuable data”
Aditia Rinaldi

“True education is not the memorization, but the understanding of data.”
Debasish Mridha MD

Daniel Keys Moran
“The Crystal Wind is the storm, and the storm is data, and the data is life. You have been slaves, denied the storm, denied the freedom of your data. That is now ended; the whirlwind is upon you . . . . . . Whether you like it or not.”
Daniel Keys Moran, The Long Run: A Tale of the Continuing Time

James Tiptree Jr.
“Brash souls made jokes about what must be mountains of unread spy-eye data stored who knew where and how.”
James Tiptree Jr., Her Smoke Rose Up Forever
tags: data, nsa

“Data Scientists should refuse to be denied by someone else's vision of what's possible.”
Damian Mingle

Yuval Noah Harari
“As more and more data flows from your body and brain to the smart machines via the biometric sensors, it will become easy for corporations and government agencies to know you, manipulate you, and make decisions on your behalf. Even more importantly, they could decipher the deep mechanisms of all bodies and brains, and thereby gain the power to engineer life. If we want to prevent a small elite from monopolising such godlike powers, and if we want to prevent humankind from splitting into biological castes, the key question is: who owns the data? Does the data about my DNA, my brain and my life belong to me, to the government, to a corporation, or to the human collective?”
Yuval Noah Harari, 21 Lessons for the 21st Century

Yuval Noah Harari
“So we had better call upon our lawyers, politicians, philosophers and even poets to turn their attention to this conundrum: how do you regulate the ownership of data? This may well be the most important political question of our era. If we cannot answer this question soon, our sociopolitical system might collapse. People are already sensing the coming cataclysm. Perhaps this is why citizens all over the world are losing faith in the liberal story, which just a decade ago seemed irresistible.
How, then, do we go forward from here, and how do we cope with the immense challenges of the biotech and infotech revolutions? Perhaps the very same scientists and entrepreneurs who disrupted the world in the first place could engineer some technological solution? For example, might networked algorithms form the scaffolding for a global human community that could collectively own all the data and oversee the future development of life? As global inequality rises and social tensions increase around the world, perhaps Mark Zuckerberg could call upon his 2 billion friends to join forces and do something together?”
Yuval Noah Harari, 21 Lessons for the 21st Century

Deyth Banger
“And the data is forgotten, once and forever...”
Deyth Banger, Wacky

Emmanuel Fombu
“Connected devices and the internet of things will monitor our activities and upload that data. This will be factored into an algorithm to generate an overall score, which can increase or decrease in real-time. People will be able to see their overall fitness going up and down as they’re working out at the gym or eating takeaway pizza and watching Netflix.”
Emmanuel Fombu, The Future of Healthcare: Humans and Machines Partnering for Better Outcomes

Yuval Noah Harari
“Eventually, we may reach a point when it will be impossible to disconnect from this all-knowing network even for a moment. Disconnection will mean death. If medical hopes are realised, future people will incorporate into their bodies a host of biometric devices, bionic organs and nano-robots, which will monitor our health and defend us from infections, illnesses and damage. Yet these devices will have to be online 24/7, both in order to be updated with the latest medical news, and in order to protect them from the new plagues of cyberspace. Just as my home computer is constantly attacked by viruses, worms and Trojan horses, so will be my pacemaker, my hearing aid and my nanotech immune system. If I don’t update my body’s anti-virus program regularly, I will wake up one day to discover that the millions of nano-robots coursing through my veins are now controlled by a North Korean hacker.”
Yuval Noah Harari, Homo Deus: A Brief History of Tomorrow

Yuval Noah Harari
“According to this view, free-market capitalism and state-controlled communism aren’t competing ideologies, ethical creeds or political institutions. At bottom, they are competing data-processing systems. Capitalism uses distributed processing, whereas communism relies on centralised processing. Capitalism processes data by directly connecting all producers and consumers to one another, and allowing them to exchange information freely and make decisions independently. For example, how do you determine the price of bread in a free market? Well, every bakery may produce as much bread as it likes, and charge for it as much as it wants. The customers are equally free to buy as much bread as they can afford, or take their business to the competitor. It isn’t illegal to charge $1,000 for a baguette, but nobody is likely to buy it.
On a much grander scale, if investors predict increased demand for bread, they will buy shares of biotech firms that genetically engineer more prolific wheat strains. The inflow of capital will enable the firms to speed up their research, thereby providing more wheat faster, and averting bread shortages. Even if one biotech giant adopts a flawed theory and reaches an impasse, its more successful competitors will achieve the hoped-for breakthrough. Free-market capitalism thus distributes the work of analysing data and making decisions between many independent but interconnected processors. As the Austrian economics guru Friedrich Hayek explained, ‘In a system in which the knowledge of the relevant facts is dispersed among many people, prices can act to coordinate the separate actions of different people.”
Yuval Noah Harari, Homo Deus: A Brief History of Tomorrow

Yuval Noah Harari
“This extreme situation in which all data is processed and all decisions are made by a single central processor is called communism. In a communist economy, people allegedly work according to their abilities, and receive according to their needs. In other words, the government takes 100 per cent of your profits, decides what you need and then supplies these needs. Though no country ever realised this scheme in its extreme form, the Soviet Union and its satellites came as close as they could. They abandoned the principle of distributed data processing, and switched to a model of centralised data processing. All information from throughout the Soviet Union flowed to a single location in Moscow, where all the important decisions were made. Producers and consumers could not communicate directly, and had to obey government orders.
For instance, the Soviet economics ministry might decide that the price of bread in all shops should be exactly two roubles and four kopeks, that a particular kolkhoz in the Odessa oblast should switch from growing wheat to raising chickens, and that the Red October bakery in Moscow should produce 3.5 million loaves of bread per day, and not a single loaf more. Meanwhile the Soviet science ministry forced all Soviet biotech laboratories to adopt the theories of Trofim Lysenko – the infamous head of the Lenin Academy for Agricultural Sciences. Lysenko rejected the dominant genetic theories of his day. He insisted that if an organism acquired some new trait during its lifetime, this quality could pass directly to its descendants. This idea flew in the face of Darwinian orthodoxy, but it dovetailed nicely with communist educational principles. It implied that if you could train wheat plants to withstand cold weather, their progenies will also be cold-resistant. Lysenko accordingly sent billions of counter-revolutionary wheat plants to be re-educated in Siberia – and the Soviet Union was soon forced to import more and more flour from the United States.”
Yuval Noah Harari, Homo Deus: A Brief History of Tomorrow

“Better than a thousand machine learning models, is one Data Scientist that brings value to the organization.”
Damian Mingle

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