Science Analysis

What, exactly, is post-truth? Is it wishful thinking, political spin, mass delusion, bold-faced lying? McIntyre analyzes recent examples - claims about inauguration crowd size, crime statistics, and the popular vote - and finds that post-truth is an assertion of ideological supremacy by which its practitioners try to compel someone to believe something regardless of the evidence. Yet post-truth didn't begin with the 2016 election; the denial of scientific facts about smoking, evolution, vaccines, and climate change offers a road map for more widespread fact denial.

Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever "speak for themselves."

In early 2014, sparked by an assault by their government on peaceful students, Ukrainians rose up against a deeply corrupt, Moscow-backed regime. Initially demonstrating under the banner of EU integration, the Maidan protesters proclaimed their right to a dignified existence; they learned to organize, to act collectively, to become a civil society. Most prominently, they established a new Ukrainian identity: territorial, inclusive, and present-focused with powerful mobilizing symbols.

In the 18th century, the British minister and mathematician Thomas Bayes devised a theorem that allowed him to assign probabilities to events that had never happened before. It languished in obscurity for centuries until computers came along and made it easy to crunch the numbers. Now, as the foundation of big data, Bayes's formula has become a linchpin of the digital economy. But here's where things get interesting: Bayes's theorem can also be used to lay odds on the existence of extraterrestrial intelligence, and on the biggest question of all: how long will humanity survive?

The 2016 presidential election was unlike any other in recent memory, and Donald Trump was an entirely different kind of candidate than voters were used to seeing. He was the first true outsider to win the White House in over a century and the wealthiest populist in American history. John L. Campbell contextualizes Donald Trump's success by focusing on the long-developing economic, racial, ideological, and political shifts that enabled Trump to win the White House. Campbell argues that Trump's rise to power was the culmination of a half-century of deep, slow-moving change in America.

In Monarchs and Milkweed, Anurag Agrawal presents a vivid investigation into how the monarch butterfly has evolved closely alongside the milkweed - a toxic plant named for the sticky white substance emitted when its leaves are damaged - and how this inextricable and intimate relationship has been like an arms race over the millennia, a battle of exploitation and defense between two fascinating species.

Groundbreaking scientific analysis that breaks the JFK assassination wide open! Did a shot from the "grassy knoll" kill President Kennedy? If so, was Oswald part of a conspiracy or an innocent patsy? Why have scientific experts who examined the evidence failed to put such questions to rest? In 2001, scientist Dr. Donald Byron Thomas published a peer-reviewed article that revived the debate over the finding by the House Select Committee on Assassinations that there had indeed been a shot from the grassy knoll, caught on a police dictabelt recording.

Uncover the historical and social roots of caste discrimination in Who Were the Shudras? by Dr. B. R. Ambedkar. This groundbreaking work challenges the traditional narratives of Hindu society, offering a meticulous examination of the origins and status of the Shudra caste. Ambedkar's critical analysis and visionary insights call for a re-evaluation of social hierarchies and advocate for equality and justice.

In this pathbreaking work, now with a new introduction, Edward S. Herman and Noam Chomsky show that, contrary to the usual image of the news media as cantankerous, obstinate, and ubiquitous in their search for truth and defense of justice, in their actual practice they defend the economic, social, and political agendas of the privileged groups that dominate domestic society, the state, and the global order.

For four generations men have been subjected to some pretty damning accusations. They're the oppressors of women. Their misogyny is the sole cause of the much-hated wage gap. They are guilty of the original sins of privilege and institutional sexism. And this says nothing about the rank mockery and, often times, outright hatred men receive in the media, government, and our schools. But perhaps the most damning accusation of them all is that men are no longer needed. That they are now somehow obsolete.

Macbeth is one of William Shakespeare's more brilliantly populated plays and remains among the most widely read. Award-winning writer and beloved professor Harold Bloom investigates Macbeth's interiority and unthinkable actions with razor-sharp insight, agility, and compassion. He also explores his own personal relationship to the character. The book also becomes an extraordinarily moving argument for literature as a path to and a measure of our humanity.

In World-Systems Analysis, Immanuel Wallerstein provides a concise and accessible introduction to the comprehensive approach that he pioneered 30 years ago to understanding the history and development of the modern world. Since Wallerstein first developed world-systems analysis, it has become a widely utilized methodology within the historical social sciences and a common point of reference in discussions of globalization.

While exploring Shakespeare's plays with her students, Paula Marantz Cohen discovered that teaching and discussing his plays unlocked a surprising sense of compassion in the classroom. In this short and illuminating book, she shows how Shakespeare's genius lay with his ability to arouse empathy, even when his characters exist in alien contexts and behave in reprehensible ways.

Expand your skills from being a basic data scientist to becoming an expert data scientist ready to solve real-world data-centric issues. Discover two comprehensive manuscripts in one audiobook.

In the beginning was Josh Levine, an idealistic programming genius who dreamed of wresting control of the market from the big exchanges that, again and again, gave the giant institutions an advantage over the little guy. Levine created a computerized trading hub named "Island" where small traders swapped stocks, and over time his invention morphed into a global electronic stock market that sent trillions in capital through a vast jungle of fiber-optic cables.

"Big Data" is on the covers of Science, Nature, The Economist, and Wired magazines, on the front pages of the Wall Street Journal and The New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more data; little data can be just as valuable as big data. Borgman, an often-cited authority on scholarly communication, argues that data have no value or meaning in isolation; they exist within a knowledge infrastructure.

Data science gets thrown around in the press like it's magic. Major retailers are predicting everything, from when their customers are pregnant to when they want a new pair of Chuck Taylors. It's a brave new world where seemingly meaningless data can be transformed into valuable insight to drive smart business decisions. Data science is little more than using straightforward steps to process raw data into actionable insight. And in Data Smart, author and data scientist John Foreman will teach how you how that's done within the familiar environment of a spreadsheet.

When psychologist Scott Barry Kaufman first discovered Maslow's unfinished theory of transcendence, sprinkled throughout a cache of unpublished journals, lectures, and essays, he felt a deep resonance with his own work and life. In this groundbreaking book, Kaufman picks up where Maslow left off, unraveling the mysteries of his unfinished theory, and integrating these ideas with the latest research on attachment, connection, creativity, love, purpose and other building blocks of a life well lived.

The Analysis of the Mind by Bertrand Russell is a collection of 15 lectures he delivered in 1920. Russell was a highly reputed philosopher, mathematician, and social critic, and would go on to win the Nobel Prize for Literature in 1950.

When this book was published in 1921, Elsie Lincoln Benedict's How to Analyze People on Sight was received as a serious scientific work of analytic sociology, but fast forward 90 years and the same words ring hilariously. Apparently well intended at the time, the book appears to invent the very notion of stereotyping.