Obvious quotes

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Arthur_Bloch

Finagle's Third Law

“In any collection of data, the figure most obviously correct, beyond all need of checking, is the mistake.
Corollaries:
1. No one whom you ask for help will see it.
2. Everyone who stops by with unsought advice will see it immediately.”
  • Source: Attributed to a fictional character named Finagle, reported in the book "Murphy's Law and Other Reasons Why Things Go Wrong" written by Arthur Bloch, first edition published in 1977 by Price/Stern/Sloan, Los Angeles, California. ISBN-10: 0843104287. ISBN-13: 978-0843104288. Chapter Murphology, page 15.
Keywords: Murphy(topic)_quotes Law_quotes Collection_quotes Data_quotes Figure_quotes Obvious_quotes Correct_quotes Beyond_quotes Need_quotes Check_quotes Mistake_quotes Ask_quotes Help_quotes See_quotes Everyone_quotes No_one_quotes Stop_quotes Unsought_quotes Advice_quotes Immediate_quotes

Robert_N_Britcher

Limits of Testing

“The limits of software are never more obvious than in its testing. Software systems are beyond discrete and statistical analysis. A single incorrect state - out of two to the trillionth states - can down a rocket: To find such a fault in a software system would require a hundred generations of programmers - but after the first failure is found and fixed, all bets are off; they wouldn't be testing the same system anymore. We can design and build fail-safe systems, but can we know we did?”
  • Source: Britcher, Robert N. (1999). The Limits of Software: People, Projects, and Perspectives. Reading, MA: Addison Wesley. ISBN 0-201-43323-0. Page 56.
Keywords: Limitation_quotes Software_quotes Obvious_quotes Testing_quotes Discrete_quotes Statistics_quotes Analysis_quotes State_quotes Incorrect_quotes Correctness_quotes Error_quotes Rocket_quotes Fault_quotes System_quotes Programmer_quotes Programming_quotes Failure_quotes Correction_quotes Found_quotes Design_quotes Safe_quotes Knowledge_quotes Limit_quotes Beyond_quotes Trillion_quotes Down_quotes Find_quotes Require_quotes Generation_quotes First_quotes Fix_quotes Bet_quotes Off_quotes Fail_Safe_quotes

Fred_Brooks

Tables versus Flowcharts

“Show me your flowcharts and conceal your tables, and I shall continue to be mystified. Show me your tables, and I won't usually need your flowcharts; they'll be obvious.”
  • Source: Brooks Jr., F. P. (1995). The Mythical Man-Month - Essays on Software Engineering (Anniversary Edition) | 1975/1995 (Anniv.). Boston. MA: Addison-Wesley. ISBN: 0201835959. Chapter 9, page 102.
Keywords: Software_Engineering_quotes Flowchart_quotes Data_quotes Data_Driven_quotes Programming_quotes Communication_quotes Confusion_quotes Obfuscation_quotes Software_quotes Engineering_quotes Conceal_quotes Table_quotes Continue_quotes Mystify_quotes Need_quotes Obvious_quotes

Octavia_E_Butler

We Say

“Beware: All too often, we say what we hear others say. We think what we’re told that we think. We see what we’re permitted to see. Worse! We see what we’re told that we see. Repetition and pride are the keys to this. To hear and to see even an obvious lie again and again and again may be to say it, almost by reflex then to defend it because we’ve said it and at last to embrace it because we’ve defended it and because we cannot admit that we’ve embraced and defended an obvious lie. Thus, without thought, without intent, we make mere echoes of ourselves — and we say what we hear others say.”
  • Source: Written by Octavia E. Butler in her book entitled “Parable of the Talents”. Chapter 18. First published by Seven Stories Press, New York, NY, in 1998. ISBN-13: 978-1-888363-81-4.
Keywords: Beware_quotes Often_quotes Say_quotes Hear_quotes Think_quotes Told_quotes See_quotes Permit_quotes Worse_quotes Repetition_quotes Pride_quotes Key_quotes Obvious_quotes Lie_quotes Reflex_quotes Defend_quotes Embrace_quotes Thought_quotes Intent_quotes Admit_quotes Mere_quotes Echo_quotes Self_quotes Make_quotes

C_West_Churchman

Assumptions

“When one is considering systems it's always wise to raise questions about the most obvious and simple assumptions.”
  • Source: C. West Churchman in the book The Systems Approach (1968), p. ix.
Keywords: System_quotes Question_quotes Obvious_quotes Simplicity_quotes Assumption_quotes Consider_quotes Wise_quotes

Arthur_Conan_Doyle

Deceptive Obvious Fact

“There is nothing more deceptive than an obvious fact.”
Keywords: Nothing_quotes Deceptive_quotes Obvious_quotes Fact_quotes

David_Epstein

Wicked Domains

“In wicked domains, the rules of the game are often unclear or incomplete, there may or may not be repetitive patterns and they may not be obvious, and feedback is often delayed, inaccurate, or both.”
  • Source: David Epstein in the book “Range: Why Generalists Triumph in a Specialized World”. Published 2019 by Riverhead Books. Chapter 1, page 21. ISBN 978-0735214484.
Keywords: Wicked_quotes Domain_quotes Rule_quotes Game_quotes Unclear_quotes Incomplete_quotes Repetitive_quotes Pattern_quotes Obvious_quotes Feedback_quotes Delay_quotes Inaccurate_quotes

Richard_Feynman

Cargo Cult

“...there have been many experiments running rats through all kinds of mazes, and so on — with little clear result. But in 1937 a man named Young did a very interesting one. He had a long corridor with doors all along one side where the rats came in, and doors along the other side where the food was. He wanted to see if he could train rats to go to the third door down from wherever he started them off. No. The rats went immediately to the door where the food had been the time before. The question was, how did the rats know, because the corridor was so beautifully built and so uniform, that this was the same door as before? Obviously there was something about the door that was different from the other doors. So he painted the doors very carefully, arranging the textures on the faces of the doors exactly the same. Still the rats could tell. Then he thought maybe they were smelling the food, so he used chemicals to change the smell after each run. Still the rats could tell. Then he realized the rats might be able to tell by seeing the lights and the arrangement in the laboratory like any commonsense person. So he covered the corridor, and still the rats could tell. He finally found that they could tell by the way the floor sounded when they ran over it. And he could only fix that by putting his corridor in sand. So he covered one after another of all possible clues and finally was able to fool the rats so that they had to learn to go to the third door. If he relaxed any of his conditions, the rats could tell. Now, from a scientific standpoint, that is an A-number-one experiment. That is the experiment that makes rat-running experiments sensible, because it uncovers the clues that the rat is really using — not what you think it's using. And that is the experiment that tells exactly what conditions you have to use in order to be careful and control everything in an experiment with rat-running. I looked into the subsequent history of this research. The next experiment, and the one after that, never referred to Mr. Young. They never used any of his criteria of putting the corridor on sand, or of being very careful. They just went right on running rats in the same old way, and paid no attention to the great discoveries of Mr. Young, and his papers are not referred to, because he didn't discover anything about rats. In fact, he discovered all the things you have to do to discover something about rats. But not paying attention to experiments like that is a characteristic of cargo cult science.”
  • Source: "Cargo Cult Science", adapted from a 1974 Caltech commencement address; also published in Surely You're Joking, Mr. Feynman!, p. 345.
    • Feynman, R. P. (1974). In Feynman, R. P. (1974, June). Cargo Cult Science. Science and Engineering.
Keywords: Cargo_quotes Cult_quotes Experiment_quotes Rat_quotes Maze_quotes Result_quotes Door_quotes Smell_quotes Sight_quotes Sound_quotes Clue_quotes Control_quotes Attention_quotes Ignore_quotes Ignorance_quotes Discovery_quotes Corridor_quotes Food_quotes Train_quotes Immediate_quotes Time_quotes Question_quotes Know_quotes Uniform_quotes Obvious_quotes Different_quotes Paint_quotes Arrange_quotes Texture_quotes Face_quotes Think_quotes Chemical_quotes Change_quotes Run_quotes Realize_quotes Light_quotes Laboratory_quotes Common_quotes Sense_quotes Person_quotes Cover_quotes Floor_quotes Fool_quotes Relax_quotes Condition_quotes Science_quotes Standpoint_quotes Uncover_quotes Careful_quotes Look_quotes History_quotes Research_quotes Refer_quotes Criteria_quotes Sand_quotes Old_quotes Fact_quotes Characteristic_quotes

Tony_Hoare

Software Design

“…there are two ways of constructing a software design: One way is to make it so simple that there are obviously no deficiencies, and the other way is to make it so complicated that there are no obvious deficiencies. The first method is far more difficult.”
  • Source: Hoare, C. A. R. (1981). The 1980 ACM Turing Award Lecture: The Emperor’s Old Clothes. Communications of the ACM, 24(2), 75–83.
Keywords: Construction_quotes Software_quotes Design_quotes Simplicity_quotes Defect_quotes Complexity_quotes Difficulty_quotes Obvious_quotes Method_quotes

John_von_Neumann

Gradual Development of Theory

“What is important is the gradual development of a theory, based on a careful analysis of the ... facts. ... Its first applications are necessarily to elementary problems where the result has never been in doubt and no theory is actually required. At this early stage the application serves to corroborate the theory. The next stage develops when the theory is applied to somewhat more complicated situations in which it may already lead to a certain extent beyond the obvious and familiar. Here theory and application corroborate each other mutually. Beyond lies the field of real success: genuine prediction by theory. It is well known that all mathematized sciences have gone through these successive stages of evolution.”
  • Source: John von Neumann, 'Formulation of the Economic Problem' in Theory of Games and Economic Behavior (1964), 8. Reprinted in John Von Neumann, F. Bródy (ed.) and Tibor Vámos (ed.), The Neumann Compendium (2000), 416.
Keywords: Importance_quotes Gradual_quotes Development_quotes Theory_quotes Careful_quotes Analysis_quotes Fact_quotes Application_quotes Elementary_quotes Problem_quotes Result_quotes Doubt_quotes Requirements_quotes Early_quotes Stage_quotes Service_quotes Corroborate_quotes Complexity_quotes Situation_quotes Lead_quotes Obvious_quotes Familiar_quotes Mutual_quotes Success_quotes Genuine_quotes Prediction_quotes Mathematics_quotes Science_quotes Evolution_quotes Beyond_quotes

J_Robert_Oppenheimer

World Going to Hell

“It is perfectly obvious that the whole world is going to hell. The only possible chance that it might not is that we do not attempt to prevent it from doing so.”
  • Source: Attributed to Oppenheimer by Alan Watts in Play to Live: Lectures of Alan Watts (1982) by Alan Watts [Author], Mark Watts [Editor, Photographer]Robert Oppenheimer.
Keywords: Perfect_quotes Obvious_quotes World_quotes Hell_quotes Possibility_quotes Chance_quotes Attempt_quotes Prevent_quotes Do_quotes Go_quotes

Richard_Feynman

No One Understands Quantum

“I think it is safe to say that no one understands quantum mechanics. Do not keep saying to yourself, if you can possibly avoid it, 'But how can it possibly be like that?' because you will go down the drain into a blind alley from which nobody has yet escaped. Nobody knows how it can be like that.”
  • Source: Richard Feynman, in The Character of Physical Law (1965).
Keywords: Safe_quotes Understanding_quotes Quantum_quotes Comprehension_quotes Drain_quotes Blind_quotes Alley_quotes Escape_quotes Knowledge_quotes Think_quotes Say_quotes Possible_quotes Mechanics_quotes Down_quotes

Daniel_Kahneman

Who Can We Trust

“We often interact with professionals who exercise their judgment with evident confidence, sometimes priding themselves on the power of their intuition. In a world rife with illusions of validity and skill, can we trust them? How do we distinguish the justified confidence of experts from the sincere overconfidence of professionals who do not know they are out of their depth? We can believe an expert who admits uncertainty but cannot take expressions of high confidence at face value. As I first learned on the obstacle field, people come up with coherent stories and confident predictions even when they know little or nothing. Overconfidence arises because people are often blind to their own blindness.”
  • Source: "Don’t Blink! The Hazards of Confidence". New York Times. October 19, 2011.
Keywords: Interaction_quotes Professional_quotes Exercise_quotes Judgment_quotes Confidence_quotes Pride_quotes Power_quotes Intuition_quotes World_quotes Illusion_quotes Validity_quotes Skill_quotes Trust_quotes Distinguish_quotes Justification_quotes Expert_quotes Sincerity_quotes Depth_quotes Belief_quotes Uncertainty_quotes Expression_quotes Face_quotes Value_quotes Obstacle_quotes Coherence_quotes Story_quotes Prediction_quotes Knowledge_quotes Overconfidence_quotes Blind_quotes Bias_quotes

Joe_Pachinko

Chump

“‘Never wisen up a chump,’ I tell her, we are all blind to our own obvious faults, and to our own obvious beauty.”
  • Source: From the poem “About Her There Is an Odd Glamour” by Joe Pachinko published in the book “The Urinals of Hell” by Joe Pachino published in 2003 by Superstition Street Press, Oakland, California, ISBN: 096653132-9. Note: “Never wisen up a chump” is probably an homage to a line from W. C. Fields, “Never give a sucker an even break or smarten up a chump” from the film “You can't Cheat an Honest Man”, released 1939, produced by Lester Cowan, directed by George Marshall and Edward F. Clineby, staring W. C. Fields.
Keywords: Wisen_quotes Chump_quotes Blind_quotes Obvious_quotes Fault_quotes Beauty_quotes

Steven_Pinker

Blind Programmer

“Richard Dawkins called natural selection; the Blind Watchmaker; in the case of the mind, we can call it the Blind Programmer.”
  • Source: Steven Pinker (1997). How the Mind Works. New York, NY: W. W. Norton. ISBN 978-0-393-06973-0; eISBN 978-0-393-06973-0. Chapter 1 Section Reverse-Engineering the Psyche.
Keywords: Natural_Selection_quotes Selection_quotes Blind_quotes Watchmaker_quotes Case_quotes Mind_quotes Programmer_quotes Dawkins(topic)_quotes Natural_quotes Call_quotes

Alan_Perlis

Useful Software Systems

“We recognize that a practical problem of considerable difficulty and importance has arisen: The successful design, production and maintenance of useful software systems. The importance is obvious and the more so since we see only greater growth in demands and requirements in the future. The consequences of poor performance, poor design, instability and mismatching of promise and performance are not going to be limited to the computing fraternity, or even their nearest neighbors, but will affect considerable sections of our society whose ability to forgive is inversely proportional to their ignorance of the difficulties we face. The source of difficulty is distributed through the whole problem, easy to identify, and yet its cure is hard to pinpoint so that systematic improvement can be gotten.”
Keywords: Usefulness_quotes Practical_quotes Problem_quotes Difficulty_quotes Importance_quotes Arise_quotes Success_quotes Design_quotes Production_quotes Maintain_quotes Software_quotes System_quotes Obvious_quotes Great_quotes Growth_quotes Demand_quotes Requirements_quotes Consequence_quotes Poor_quotes Performance_quotes Instability_quotes Mismatch_quotes Promise_quotes Go_quotes Limitation_quotes Computing_quotes Fraternity_quotes Near_quotes Neighbor_quotes Affect_quotes Considerable_quotes Section_quotes Society_quotes Ability_quotes Forgiveness_quotes Inverse_quotes Proportion_quotes Ignorance_quotes Face_quotes Source_quotes Distributed_quotes Easy_quotes Identify_quotes Cure_quotes Hard_quotes Pinpoint_quotes Improve_quotes

Programming Impossible for Most

Most people find the concept of programming obvious, but the doing impossible.”
Keywords: Programming_quotes Most_quotes People_quotes Conceptual_quotes Obvious_quotes Do_quotes Impossibility_quotes

Steven_Pinker

Neurons to Consciousness

“None of us has a brain that can actually put us in touch with reality unaided with truth. I've just shown you a bunch of gadgetry that responds to things that are essential to our survival, things that prevent us from falling off cliffs and bumping into trees. But they don't actually correspond to any clear description of the world as it is. So we have, for example, circuitry that responds to the edges rather than the physical distribution of light, because edges are important, that's where objects leave off and their backgrounds begin. Moreover, they can be fooled, as I did with each one of you. That since our neural circuitry does consist of a mechanism, not a pipeline to the truth or a window onto objective reality. That is naïve realism we know is false because there are illusions. You can't just trust your senses. That means we need some way of augmenting the faculties that nature gave us to make our beliefs as accurate as possible. Which of course is why the early modern philosophers made such a big deal of visual illusions. They said you can't just open your eyes and see the world as it is. Look at all these illusions. So what we do, what gives some of us confidence that our beliefs are objectively true is that they are part of an institutional infrastructure of testing and criticism and logic and determining which hypotheses withstand criticism and attempts at refutation. Devising exotic arrangements of reality to reflect the way reality is put together, namely experiments. Thanks to this huge network of minds, each one of them making up for deficits of all the others, we like to think that we have a collective grasp on truth that none of us individually can have. But of course, it's always fallible. The religious beliefs I think were actually pretty reasonable hypotheses in earlier states of our collective knowledge. Even Richard Dawkins said that before Darwin he probably would have been a creationist because the cosmic engineer was the only available explanation for the obvious adaptive complexity of living things. I would add that prior to the advent of modern neuroscience I probably would have believed in souls because there was no better explanation for phenomena such as that people respond intelligently to their environments. When you dream some part of you is up and about the world while your body is in bed the whole time. That seems like there must be some part of you that can leave your body. When a person suddenly dies some kind of animating force no longer seems to be animating the body that was there just a few minutes ago. So the soul hypothesis is not a stupid or irrational belief, nor is creationism if it's the best that you have. Now, of course, we can do better. But doing better in part depends not just on this cumulative weight of evidence and argument. But because few of us can actually reconstruct the scientific observations that justify the theory of natural selection or the theory of neural networks, all of us, at least a little bit, take it on faith in the following sense; that there is a community that you trust enough because when they have been challenged to defend their beliefs they can connect them to reality. They have shown that it isn't magic. That they have given reason to trust them because they've convinced you that they're the mores of their culture, of their scientific culture, designed so that they will find true things and weed out false things. If you don't have a degree of solidarity or trust, if you think that scientists are all in cahoots with big corporations or are trying to tear down all faith and values and meaning and you simply refuse to follow through the very long chain of deduction that connects the claims to the experiments, then you'll naturally reject it just because it's not your tribe. For you and me scientists are our tribe and we're apt to give them some credibility, indeed some credulousness, knowing that if ever challenged it would be repaid. But unless you trace that through it can be all too easy to reject the conclusions of science, and indeed a number of studies have shown that contrary to the common belief that people believe in falsehoods, such as that vaccines cause autism or that humans were created five thousand years ago or that the burning of fossil fuels has no effect on global temperatures, it turns out that people with those beliefs that we have every reason to believe are false are no more scientifically naïve on average than people that have beliefs that are scientifically justified. You give a test on evolution to a bunch of people who believe in evolution, give it to a bunch of creationists, there's not much difference in how well they score. In fact, often they are equal. Likewise, the typical grasp of climate science among someone who signs on to the scientific consensus is not much better than the adamant deniers. That kind of dashes the hope that simply by increasing the quality of science education you will lead people to more accurate beliefs. There, in addition, has to be a dissociation of who you think are the good guys and who are the bad guys from who has the best claims to truth. That's what it depends on.”
Keywords: Accuracy_quotes Adament_quotes Adaptability_quotes Addition_quotes Advent_quotes Aid_quotes Animate_quotes Argue_quotes Arrangement_quotes Attempt_quotes Augment_quotes Autism_quotes Availability_quotes Background_quotes Bad_quotes Bed_quotes Belief_quotes Best_quotes Big_quotes Body_quotes Brain_quotes Bump_quotes Bunch_quotes Burn_quotes Cahoot_quotes Chain_quotes Challenge_quotes Circuit_quotes Claim_quotes Clear_quotes Cliff_quotes Climate_quotes Collective_quotes Complexity_quotes Common_quotes Community_quotes Conclusion_quotes Confidence_quotes Connection_quotes Consensus_quotes Consist_quotes Contrary_quotes Convince_quotes Cooperation_quotes Corporation_quotes Correspondence_quotes Cosmic_quotes Creationism_quotes Credibility_quotes Criticism_quotes Culture_quotes Cumulative_quotes Dash_quotes Deal_quotes Death_quotes Deception_quotes Deduction_quotes Defence_quotes Deficit_quotes Degree_quotes Deny_quotes Dependence_quotes Description_quotes Design_quotes Determine_quotes Devise_quotes Differences_quotes Dissociation_quotes Distribution_quotes Dreaming_quotes Early_quotes Easy_quotes Edge_quotes Education_quotes Effect_quotes Engineer_quotes Environment_quotes Essential_quotes Evidence_quotes Evolution_quotes Exotic_quotes Experiment_quotes Explanation_quotes Eye_quotes Faculty_quotes Faith_quotes Fall_quotes Fallible_quotes False_quotes Few_quotes Find_quotes Follow_quotes Fool_quotes Force_quotes Fossil_quotes Fuel_quotes Gadget_quotes Global_quotes Good_quotes Grasp_quotes Guy_quotes Huge_quotes Hypothesis_quotes Illusion_quotes Importance_quotes Increasing_quotes Individual_quotes Infrastructure_quotes Institution_quotes Intelligence_quotes Irrational_quotes Justification_quotes Knowledge_quotes Leave_quotes Life_quotes Light_quotes Logic_quotes Long_quotes Magic_quotes Meaning_quotes Mechanism_quotes Mind_quotes Modern_quotes Moral_quotes Naïve_quotes Nature_quotes Natural_Selection_quotes Network_quotes Neural_quotes Neuroscience_quotes Object_quotes Objectivity_quotes Observation_quotes Obvious_quotes Part_quotes People_quotes Perception_quotes Phenomena_quotes Philosophy_quotes Physical_quotes Pipeline_quotes Possibility_quotes Prehistoric_quotes Prevent_quotes Reality_quotes Reason_quotes Reconstruct_quotes Reflection_quotes Refuse_quotes Refutation_quotes Rejection_quotes Religion_quotes Repay_quotes Respond_quotes Science_quotes Scientist_quotes Score_quotes Seem_quotes Selection_quotes Sense_quotes Show_quotes Sight_quotes Solidarity_quotes Soul_quotes State_quotes Study_quotes Stupidity_quotes Survival_quotes Tear_quotes Temperature_quotes Testing_quotes Theory_quotes Thinking_quotes Time_quotes Touch_quotes Trace_quotes Tree_quotes Tribal_quotes Trust_quotes Truth_quotes Try_quotes Typical_quotes Unaided_quotes Vaccine_quotes Value_quotes Visual_quotes Weed_quotes Weight_quotes Whole_quotes Window_quotes Withstand_quotes World_quotes

Carl_Sagan

Science Is Not Perfect

“[Science] is not perfect. It can be misused. It is only a tool. But it is by far the best tool we have, self-correcting, ongoing, applicable to everything. It has two rules. First: there are no sacred truths; all assumptions must be critically examined; arguments from authority are worthless. Second: whatever is inconsistent with the facts must be discarded or revised. ... The obvious is sometimes false; the unexpected is sometimes true.”
  • Source: Carl Sagan, Cosmos (1985), 277
Keywords: Science_quotes Perfect_quotes Misuse_quotes Tool_quotes Far_quotes Best_quotes Self-Correcting_quotes Ongoing_quotes Application_quotes Everything_quotes Rule_quotes Sacred_quotes Truth_quotes Assumption_quotes Critical_quotes Examination_quotes Argue_quotes Authority_quotes Worthless_quotes Inconsistent_quotes Fact_quotes Discard_quotes Revision_quotes Obvious_quotes Sometime_quotes False_quotes Unexpected_quotes True_quotes Scientific_Method_quotes

Erwin_Schrödinger

Observer Instruments

“The observer is never entirely replaced by instruments; for if he were, he could obviously obtain no knowledge whatsoever.”
  • Source: Erwin Schrödinger in the book “Mind and Matter”, chapter 6. Contained within the book “What is Life? The Physical Aspect of the Living Cell with Mind and Matter and Autobiographical Sketches”. Published in 1992 and reprinted in 2013 by Cambridge University Press, New York, NY. ISBN: 9781107604667. Online at <http://strangebeautiful.com/other-texts/schrodinger-what-is-life-mind-matter-auto-sketches.pdf> retrieved 2024. Note: “Mind and Matter” originally published separately in 1944.
Keywords: Observer_quotes Entire_quotes Replace_quotes Instrument_quotes Obvious_quotes Obtain_quotes Knowledge_quotes

Stephen_Wolfram

Paradigm Change

“When you change the paradigm, lots of stuff can come out. In science, the biggest paradigm change that's already happened... which is model things in nature with programs not with equations. For 300 years there was this tradition that [if] you want to make a model in science that's an exact model, write down a mathematical equation. People don't do that anymore in most areas of science... It's fun to see this transition from what seems impossible to what becomes obvious.”
  • Source: Spoken by Stephen Wolfram in a video interview with Brian Keating recorded in the YouTube video ‘What is Time? Stephen Wolfram’s Groundbreaking New Theory’ published on channel ‘Dr. Brian Keating’ on 2024-12-02. Video offset 1:13:57. Online at https://youtu.be/c-RO3vM10Ok?si=i-XspeEtzqA3jPl9 retrieved 2024.
Keywords: Change_quotes Paradigm_quotes Science_quotes Happen_quotes Model_quotes Nature_quotes Program_quotes Algorithm_quotes Equation_quotes Year_quotes Tradition_quotes Exact_quotes Mathematics_quotes People_quotes Do_quotes Area_quotes Fun_quotes Transition_quotes Seem_quotes Impossible_quotes Become_quotes Obvious_quotes
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