“I might take from the current political chaos a desire to somehow reflect its essential qualities in a story - the blatant lies that get accepted with repetition; the way mass media seems to be agitating people en masse; the way, particularly, that a relatively lucky and affluent and privileged population can be undone by a certain spoiled quality; that feeling when two decent people violently disagree, because they are arguing from two non-intersecting data sets - well, the list goes on.” PeopleWayWellsTwoStoriesFeelingsSeemsMightPoliticalLyingDesireCertainQualityMediaGoes OnLuckyEssentialsMassChaosPopulationCurrentsArguingListsAcceptedDataDecentDisagreePrivilegedRepetitionSpoiledUndoneMass MediaAffluentBlatant Lies Author:George Saunders
“You cannot have 300-some million Americans - and really, right, the global citizenry be at risk of having their phone conversations intercepted with a known flaw, simply because some intelligence agencies might get some data. That is not acceptable.” MightKnownMillionsRiskConversationPhonesDataAgencyFlawsAcceptableCitizenryIntelligence Agencies Author:Ted Lieu
“If this "critical openminded attitude" ... is wanted, the question at once arises, Is it science that should be studied in order to achieve it? Why not study law? A judge has to do everything that a scientist is exhorted to do in the way of withholding judgment until all the facts are in, and then judging impartially on the merits of the case as well as he can. ... Why not a course in Sherlock Holmes? The detectives, or at least the detective-story writers, join with the scientists in excoriating "dogmatic prejudice, lying, falsification of facts, and data, and willful fallacious reasoning."” IfsWayShouldWellsFactsStoriesWantedLawScienceLyingOrderCoursesAttitudeCasesStudyAchieveJudgingJudgmentScientistPrejudiceCriticalAriseDataMeritReasoningWhy NotDetectivesHolmesDogmaticWithholdingDetective StoriesStory WritersFalsification Author:Anthony Standen
“The key is to let computers do what they are good at, which is trawling these massive data sets for something that is mathematically odd. And that makes it easier for humans to do what they are good at - explaining those anomalies.” HumansKeysEasierComputerDataOddMassiveExplainingAnomalies Author:Daniel Bruhl
“Whereas much of what we know from ancient history is derived from one or two sources, we have no fewer than nine ancient sources, inside and outside the New Testament, corroborating the disciples' conviction that they encountered the resurrected Jesus. That's an avalanche of data.” KnowsTwoJesusSourceAncientConvictionNineDataFewerDiscipleTestamentNew TestamentAvalanchesAncient HistoryInside And Outside Author:Lee Strobel
“I picture the evidence for the deity of Jesus to be like the fast-moving current in a river. To deny the data would be like swimming upstream against the current. That doesn't make sense. What's logical, based on the strength of the case for Christ, is to swim in the same direction the evidence is pointing by putting your trust in Jesus as your forgiver and leader.” Would BeMovingJesusChristLeaderCasesEvidenceRiversCurrentsDenyDataMake SenseLogicalSwimSwimmingPointingDeitiesSwimming Upstream Author:Lee Strobel
“In arriving at the relevant theory about the specifics of our faculty of vision we will presumably use our eyes to gather relevant data. Based on such data we come to know about the optic nerve, the structure of our eyes, the rods and cones, etc., so as to explain how it is that vision gives us reliable access to the shapes and colors of objects around us. In reliably arriving at that theory we thus exercise the very faculty whose reliability is explained by the theory. There is no vice in this sort of circularity.” KnowsGivingUseEyeVisionObjectsColorTheoryExerciseShapesStructureVicesAccessDataEtcFacultyNervesRelevantArrivingReliabilityConesSpecificsCircularity Author:Ernest Sosa
“There is no need for the scientist to go into whether an observation was made, nor into the who, what, when, or where. The data on which scientific theorizing is based are rather the propositional contents of the instrument readings recorded, or the facts detected thereby.” NeedsMadeFactsReadingScientistInstrumentsObservationData Author:Ernest Sosa
“The data on which philosophical theorizing is based are rather the intuited contents themselves, concerning the various thought experiments. At least that is so outside the epistemology of the a priori.” PhilosophicalVariousExperimentsDataEpistemology Author:Ernest Sosa
“Data about an innovative idea is rarely crystal clear.” IdeasClearDataInnovativeCrystalsInnovative Ideas Author:Scott D. Anthony
“You need to take your gut feeling as an important data point, but then you have to consciously and deliberately evaluate it, to see if it makes sense in this context.” IfsNeedsImportantFeelingsDataMake SenseGutsEvaluateGut Feelings Author:Gary A. Klein
“If someone does a study which, for statistical reasons, I think is hopelessly underpowered or nonidentified, my best and most useful advice will not be tips on how to calculate p-values better, or how to construct an explanation for some particular data pattern. Rather, my advice will be to start over, to reconsider what you think you already know, maybe to question some prominent work in your subfield, and quite possibly to think a lot harder about measurement, and about the relation of your data to your underlying constructs of interest.” IfsThinkingKnowsDoeReasonValuesInterestStudyAdviceParticularHarderRelationPatternsDataExplanationConstructsStarting OverMeasurementProminent Author:Andrew Gelman
“As a senator, I raised the alarm about sub prime mortgages. I fought to hold reckless manufacturers accountable for toxic toys and household products that threaten our kids. I introduced legislation to protect Americans' personal data and combat identity theft. So as president, I will make consumer protection a top priority across the entire government.” GovernmentKidsPresidentIdentityProductsProtectRaisedProtectionPrioritiesDataConsumersPrimeCombatToxicToysHouseholdSenatorsLegislationRecklessTheftAlarmsMortgageTop PrioritiesIdentity TheftConsumer Protection Author:Hillary Clinton
“In a corporate context, companies have to try very hard to oppose the enticements of conventional wisdom. They must aim for the leaps, which means that companies have to do more than simply manage their knowledge, which is composed of the insights and understandings they already know. They also have to manage the knowledge-generation process. It's not just about, "Oh, we're going to create a data warehouse and we are going to invent a computerized filing system to get at all the stuff we know."” KnowsTryingMeanHardStuffProcessUnderstandingCompanyGenerationsAimInsightManageDataCorporateLeapConventionalConventional WisdomFilingWarehouseEnticement Author:John Kao
“Take the self-driving car and the smartphone and put those together and think about how to manage a smart grid because suddenly you have all of this data coming from those two mechanisms that allow for a much higher level of allocating energy much more efficiently.” ThinkingTwoSelfTogetherEnergyLevelsCarHigherSmartDrivingManageDataMechanismHigher LevelGridsSmartphonesDriving Cars Author:Jonathon Keats
“I don't think that I am hopeful because I have some data that you don't, that I am going to share with you and going to convince you on that basis.” ThinkingShareBasesDataHopefulConvince Author:Jonathon Keats
“Evolutionary theory, properly understood, does not conflict with the idea that God occasionally intervenes in nature - for example, by once or twice causing a beneficial mutation to occur. Biologists have not detected any such interventions despite the data and theory they have assembled about mutation. However, I think it is a mistake to expect biological experiments to be able to detect such one-off acts of divine intervention, especially if those acts occurred in the distant past. Science isn't in that line of work.” IfsThinkingDoeIdeasAblePastLinesMistakeExampleDivineTheoryConflictUnderstoodExperimentsDespiteDataInterventionBeneficialBiologistDivine InterventionMutation Author:Elliott Sober
“The fast growing markets - the BRICS and Next Eleven - are the key. The next billion consumers are not going to come from the US or Western Europe - they are coming from Asia, Latin America and Africa. Formula One follows our strategy: fast growing markets, data, and digital. All those three things Formula One has. And it involves a stunning array of companies. Now that doesn't mean there can't be more.” MeanAmericaThreeNextCompanyGrowingKeysEuropeStrategyWesternBillionsDataConsumersDigitalLatinFormulasAsiaThree ThingsElevenLatin AmericaStunningFormula OneWestern EuropeBrics Author:Martin Sorrell
“The training one receives when one becomes a technician, like a data scientist - we get trained in mathematics or computer science or statistics - is entirely separated from a discussion of ethics.” ComputerTrainingEthicsScientistMathematicsDataDiscussionStatisticsComputer ScienceTechnicians Author:Cathy O'Neil
“Every system using data separates humanity into winners and losers.” HumanityDataWinnerLoserWinner And Loser Author:Cathy O'Neil
“People are starting to be very skeptical of the Facebook algorithm and all kinds of data surveillance.” PeopleKindStartingAll KindsDataSkepticalSurveillanceAlgorithms Author:Cathy O'Neil
“The NSA buys data from private companies, so the private companies are the source of all this stuff.” StuffCompanySourceDataNsa Author:Cathy O'Neil
“We've learned our lesson with finance because they made a huge goddamn explosion that almost shut down the world. But the thing I realized is that there might never be an explosion on the scale of the financial crisis happening with big data.” WorldMadeBigsMightHugeLessonsHappeningsCrisisFinancialI RealizedScalesFinanceDataExplosionsFinancial Crisis Author:Cathy O'Neil
“There might never be that moment when everyone says, "Oh my God, big data is awful."” MomentsBigsMightAwfulDataThat Moment Author:Cathy O'Neil
“By construction, the world of big data is siloed and segmented and segregated so that successful people, like myself - technologists, well-educated white people, for the most part - benefit from big data, and it's the people on the other side of the economic spectrum, especially people of color, who suffer from it. They suffer from it individually, at different times, at different moments. They never get a clear explanation of what actually happened to them because all these scores are secret and sometimes they don't even know they're being scored.” PeopleKnowsWorldWellsDifferentSometimesMomentsBigsSufferingSidesWhiteSecretSuccessfulClearHappenedEconomicColorBenefitsEducatedDataExplanationScoreConstructionSuccessful PeopleSpectrumDifferent TimesWell Educated Author:Cathy O'Neil
“Because of my experience in Occupy, instead of asking the question, "Who will benefit from this system I'm implementing with the data?" I started to ask the question, "What will happen to the most vulnerable?" Or "Who is going to lose under this system? How will this affect the worst-off person?" Which is a very different question from "How does this improve certain people's lives?"” PeoplePersonsDoeDifferentHappensCertainAsksLosesWorstBenefitsAskingVulnerableDataImplementing Author:Cathy O'Neil
“I think big data companies only like good news. So I think they're just hoping that they don't get sued, essentially.” ThinkingBigsCompanyNewsDataGood NewsThink Big Author:Cathy O'Neil
“The changes are coming so quickly it's been difficult for workers to retrain themselves and for entrepreneurs to figure out where the next opportunities may be. The catalyst is something called computer learning or artificial intelligence - the ability to feed massive amounts of data into supercomputers and program them to teach themselves and improve their performance.” MayNextOpportunityDifficultAbilityTeachFiguresAmountComputerProgramPerformancesEntrepreneurWorkersDataMassiveArtificial IntelligenceArtificialCatalystSupercomputers Author:Andrew McAfee
“In fact, The Party has provided so much of the ground game and field operation and data operation to supplement what we already had, when I got here, and what we're building on, that we literally are doing it with them, in these swing states. The RNC is the party. And the RNC is also helping these candidates.” StatesFactsHelpingGamesPartyFieldsBuildingDataOperationsCandidatesSwingsSupplements Author:Kellyanne Conway
“I always want to read something about our people's enslavement near the 4th. To keep it light, I also read Rolanda Watts' "Destiny Lingers" She is a sisterfriend and I ran into her at Essence. Then, I finished Paul Taylor's "The Next America." Taylor is the Executive VP at the Pew Research Center, and he uses their excellent data base to talk about the coming "generational showdown" which we are experiencing, at some level, in Black America.” PeopleWantUseLightAmericaNextBlackLevelsDestinyResearchEssenceFinishedDataExcellentRanExecutivesEnslavementBlack AmericaShowdowns Author:Julianne Malveaux
“The internet doesn't have any qualities, technical qualities. It's just fast, reaching out everywhere and so, it can process that and that volume of data flows and so, but it doesn't have any qualities like "good" or "bad" or "ethical" or "non-ethical". It's humans, it's us, not the internet.” HumansProcessQualityInternetFlowDataReachingEthicalReach OutVolume Author:Werner Herzog
“Today we all give all our data away all day long while aiming to maintaining our privacy.” GivingLongTodayDataPrivacyMaintaining Author:will.i.am
“Where big data is all about seeking correlations - and thus to make incremental changes - small data is all about causations - seeking to understand the reasons why.” ReasonBigsSeekingDataReason WhyCorrelationCausationIncremental Change Author:Martin Lindstrom
“Small Data defines this space, identifies the imbalances we all have and thus the gap these imbalances represents for your new innovation.” SpaceInnovationDataGapsImbalance Author:Martin Lindstrom
“Small Data is not about testing concepts - it is more to create the foundation for innovative brand thinking.” ThinkingConceptsFoundationBrandsDataTestingInnovative Author:Martin Lindstrom
“Because we're always more woundable when caught at exactly the time where we're in the mood for that particular product or service - and as Big Data increasingly are able to pick up on clues revealing desire - automated systems are increasingly able to hit at exactly those moments, across those channels we move - with an offer matching exactly what we're desiring.” MomentsBigsAbleMovingDesireParticularProductsOffersPicksCaughtMoodDataClueRevealingMatching Author:Martin Lindstrom
“The fact that we all leave behind seemingly insignificant clues behind ourselves - emotional DNA or what I call Small Data - which are able to describe with an insane accuracy who we really are, our personalities and desires. But even more how we all represents out of balances - perhaps I feel too overweight, feel alone or feel I haven't achieved what I'd hoped for when hitting 40. These imbalances are surprisingly visible when visiting consumers' homes - and surprisingly invisible when relaying on Big Data.” FeelsFactsHomeBigsAbleDesireBehindsHavensEmotionalPersonalityBalanceInvisibleInsaneDataConsumersVisibleHittingClueDnaInsignificantAccuracyVisitingOverweightImbalance Author:Martin Lindstrom
“Big data is great when you want to verify and quantify small data - as big data is all about seeking a correlation - small data about seeking the causation.” WantBigsSeekingDataCorrelationVerifyCausation Author:Martin Lindstrom
“We just see a sort of cascading amount of data of the damage that is being done by those increased temperatures.” DoneAmountDataDamageTemperatureBeing Done Author:Bill McKibben
“Permafrost in the soil [is melting], in the boreal and arctic areas in the world, and, probably even more alarming in the last six or eight months, the data on what is happening to the ice shelves in Greenland and the west Antarctic has begun to cause people to radically reassess the earlier conviction that those ice shelves were stable on a kind of century-long time scale.” PeopleWorldKindLongLastsCausesCenturyMonthsSixLong TimeHappeningsAreasWestConvictionEightScalesIceDataSoilStableShelvesMeltingArcticGreenland Author:Bill McKibben
“That's when the vast consensus of the world's climatologists, brought together by the UN and The Intergovernmental Panel on Climate Change, really announced that this was going on, and since then the accumulation of data and wickedly hot years has served to only congeal that consensus much more firmly.” WorldYearsTogetherHotClimateClimate ChangeDataConsensusAccumulation Author:Bill McKibben
“If you look at the polling data, long before anyone had thought about Iraq, it was the [George W.] Bush Administration's decision in the first few weeks in its tenure in office to abnegate the Kyoto treaties that set our international perception into a nose-dive. People around the world looked on in amazement as the biggest part of the problem decided it wasn't going to make any effort to help with the solution.” PeopleIfsWorldFirstsLooksLongHelpingProblemDecisionEffortWeekOfficePerceptionSolutionsDecidedInternationalIraqAround The WorldAdministrationDataNosesTreatiesAmazementTenureKyotoPolling Author:Bill McKibben
“The polling data shows not an unbelievable level of concern [on climate issue] but a general awareness of this problem. And now I think it's up to all sorts of people who really care about these things to continue on this new ground to try and make this the central political issue it needs to be.” PeopleThinkingNeedsTryingShowsProblemCarePoliticalLevelsIssuesAwarenessConcernClimateDataUnbelievablePollingPolitical Issues Author:Bill McKibben
“We're putting more carbon into the atmosphere than the atmosphere can absorb. And everybody told us when we started, coz we knew nothing when we started - we still don't know very much - but everybody told us 'this is crazy, you don't use a scientific data point, it's a number, people don't respond to numbers'.” PeopleKnowsStillsUseNumbersCrazyDataAtmosphereCarbon Author:Bill McKibben
“I think it's a good idea to be - to fairly identify where things could have gone better once you get the facts, once you get the data and once you're able to review.” ThinkingIdeasFactsAbleGoneDataReviewsGood Ideas Author:Keith Ellison
“Maybe we, the cultural workers , could apply ourselves. We're not going to resolve it in this moment or even in this generation, but perhaps as some kind of agenda we could invite our writers and cultural workers to address the problem a little more responsibly, because people are suffering tremendously from a want of data.” PeopleWantKindLittlesMomentsProblemSufferingGenerationsWorkersDataAddressesAgendasResolveInvitesThis Generation Author:Leonard Cohen
“It wasn't exactly a cattle call. I had an agent, and they were seeing people for the parts, so my agent said, "Here's the script, see if there's anything that speaks to you." And I did, and I called my agent and said, "I think this character Data is kind of interesting," and she said, "Well, okay, I'll get you the appointment with Junie Lowry." I had to read with the casting agent first, 'cause nobody really knew me then. Then after that, I had, I think, six different auditions for the role. And finally it was me [on Star Trek].” PeopleIfsThinkingFirstsWellsKindSaidDifferentCharacterSpeakStarsCausesInterestingRolesSeeingSixOkayScriptsAgentsDataAuditionsCastingAppointmentsCattle Author:Brent Spiner
“It really was not that difficult a process, because I was playing [Data from Star Trek] something that doesn't exist. So it was really based on... Imagination was the key element in that, and whatever I could think of, I could do, because there was no precedent for it. It wasn't like someone was going to say, "Well, an android would never do that." They didn't know!” ThinkingKnowsWellsStarsProcessDifficultImaginationKeysElementsDataPrecedentAndroids Author:Brent Spiner
“I have to go with Data's makeup, because that was basically every day, 10 months out of the year, for seven years. There were only a couple of days that I had to endure for Dr. Soong.” YearsMonthsCoupleSevenEndureDataMakeupDrsSeven Years Author:Brent Spiner