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“Data is a form of capital. And as is the case with all capital - it has to be efficient utilized.”
― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

“We've passed through the era of data accumulation. We're entering now into the era of data amalgamation - data combined and directed in service of a greater purpose.”
― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

“The value we provide at Mayflower-Plymouth exists at the convergence of various technologies and studies including Blockchain, cryptography, quantum computing, permaculture design principles, artificial intelligence, stigmergy, forestry, economics, additive manufacturing, big data, advanced logistics and more.”
― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

“There’s no amount of data that can replace an investors ability to empathize with the entrepreneur. There’s no amount of computational capacity that can replace a genuine and instinctive understanding of business management.”
― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

“Individual data points are of miniscule value. In the first twenty years of this century, data has become a common commodity. But the next level is amalgamation - bringing hundreds or thousands or millions of data points together and then making of them something greater than the sum of the parts.”
― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

“In the second part of this century, individualization will be greater than mass production. And logistics will be more about data files and polymer packs than freight trucks and cargo ships.”
― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

“The data side of supply chains is really important.”
― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

“All good decisions are Data dependent. To make good decisions, you need good data. And you need that good data to be organized according to it's applicable use value. So every business should be mining data and organizing data to enable business leaders to make good decisions on behalf of the business.”
― Hendrith Vanlon Smith Jr, CEO of Mayflower-Plymouth

“There's data in the world available only to those who have reached a certain level of wretchedness. You dont know what's down there if you havent been down there.”
― Cormac McCarthy, Stella Maris

“We are approaching a soft data catastrophe. Entire lives, from tastes in music and clothes to deepest personal convictions - all produced by networks of feedback between datamining and content recommendation algorithms.

The 'catastrophe' is when these algorithms unconsciously (or maybe, consciously?) lead people down presupposed paths for modern and emerging markets.

Algorithms could right now be helping make people convert to a religion, drug addicts, vegan, LGBTQ, ethnonarcissists, fat, cult members, suicidal, narcissists, atheist, poly, mass shooters...”
― stained hanes, 94,000 Wasps in a Trench Coat

“You will feel a surge as the data floods your body.

The surge may contain memory, heat, cold, longing, pain, or even joy.

Although the data are alien, the memories dislodged will be your own…”
― Jennifer Egan, The Candy House

“Nosotros, los humanos, somos las únicas criaturas orgánicas que viven en los dos mundos a la vez. Es como si, después de haber coexistido durante largo tiempo con lo invisible, hubiéramos empezado a desarrollar la percepción extrasensorial necesaria. Somos conscientes de las numerosas especies de información que hay.”
― James Gleick, The Information: A History, a Theory, a Flood

“Good data gives you good insights. Great data makes all the decisions for you.”
― Martin "Rainman" Leghart Jr.

“Bad results from good data also provide you with a lot of insight.”
― Martin "Rainman" Leghart Jr.

“Florida has a history of reclassifying death data.”
― Steven Magee

“When I queried the unmarked hollow metal tubes I had found inside the fuse holders with the team at the Desoto Solar Farm, no one could produce an electrical data sheet for them.”
― Steven Magee

“...science is not only about building carefully-constructed theories that explain general phenomena. It is also, and primarily, about distinguishing good explanations from bad ones. This is where traditional history has been deficient. Historians have created, and continue to create, new explanations, but they are not in the business of testing them with data.”
― Peter Turchin, Ultrasociety: How 10,000 Years of War Made Humans the Greatest Cooperators on Earth

“I often tell people to tamp down their excitement about data exhaust because none of these data are actually designed for falsifiability in mind—it’s simply the detritus of our digital lives. Just because we have more data doesn’t mean we are doing better research. We are drowning in an endless sea of data, yet we are stuck in an insight desert”
― Sam Ladner, Mixed Methods: A short guide to applied mixed methods research

“Every bit of data is obsolete. How relevant is data in predicting the future whose strings to the past do not exist?”
― Sukant Ratnakar, Quantraz

“History isn't what you had for breakfast. That's meaningless data, gone with the wind. History is that scar on your hand. It's the stories that leave a mark, the past that refuses to stay past.”
― Justin Cronin, The City of Mirrors

“Once, a leader convinced others to act in the absence of information. Today, there’s simply too much information available. We don’t need to guess—we need to know where to focus. We need a disciplined approach to growth that identifies, quantifies, and overcomes risk every step of the way. Today’s leader doesn’t have all the answers. Instead, today’s leader knows what questions to ask.
Go forth and ask good questions.”
― Alistair Croll, Lean Analytics: Use Data to Build a Better Startup Faster

“[T]here exists a long history of political and social struggles over the design of classification systems that present themselves as ‘purely technical’ but promote a biased account of the social world. … Critical race theorists, such as Richard Delgado and Jean Stanfancic, have similarly argued that races operate as ‘categories that society invents, manipulates, or retires when convenient’. Although invented as a category, the effects of race on social relations and people's life opportunities are material and multiple.”
― Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

“Abby Day’s research on how people answered the question on religion in the 2001 English and Welsh census shines further light on the interplay between identity characteristics and the use of data collection methods. Day describes how interviewees and her study were initially ambivalent about their religious identities. However, when presented with a list of options, this crystallized their identity ‘in a way that seemed to suggest not that they were for example, Christian but -- perhaps more importantly -- that they were not one of the “others.”
― Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

“Queer data is more than using data to tell stories about the lives and experiences of LGBTQ individuals: the presentation of the data is also an opportunity for LGBTQ people to see themselves reflected, although this mirror image is never a truly accurate representation.”
― Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

“Queer, as an identity label, differs from its use in the second strand of queer data, which examines the queering of research methods.”
― Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

“Visibility is a trap’... If the burden of proof is higher for LGBTQ people than the general public, and it remains unclear whether the collection of evidence actually initiates meaningful change, the utility of a data-based response to fighting injustice is called into question.”
― Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

“Hacking described his research interest ‘in classifications of people, in how they affect the people classified, and how the affects on the people in turn change the classifications.’ Hacking labeled the subjects of these studies ‘moving targets’ because researchers’ investigatory efforts change them in ways so ‘they are not quite the same kind of people as before.”
― Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

“A queer approach to data collection showcases the back-and-forth between participants and researchers.”
― Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

“Over time, EDI work has transformed so that the purpose becomes to ‘fix the data’ rather than the problems the data was originally intended to represent.”
― Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action

“Considering the Scottish census through these theoretical lenses, where the census is not a neutral representation of a reality but a tool to construct a governable population, raises questions as to whether the census is an exercise in knowledge construction or a tool to bolster the state’s capacity to manage its population. These two objectives are not exclusive: improved knowledge likely facilitates the design of more efficient ways to coerce, control and discipline people who live within a state's jurisdiction. However, if the construction of knowledge is no longer the primary purpose of a census, this throws into doubt then need for a census to collect accurate information that authentically represents the lives and experiences of the people about whom the data relates.”
― Kevin Guyan, Queer Data: Using Gender, Sex and Sexuality Data for Action