Politics Book Discussion Guide
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You're a Green One
NOVEMBER | DECEMBER 2019 You’re a Green One, MR. GRINCH! HOW DR. SEUSS ’25 TURNED HIS FAVORITE CHARACTER INTO A HOLIDAY TV CLASSIC FIVE DOLLARS 191111_MariMari_Ivy.indd 1 9/23/19 8:30 AM 1 cover n/d 19 real.indd 2 10/2/19 3:58 PM H W’ P B B LISTINGNEW SOLD 1979. Your first real responsibility KING ROAD - Hanover, NH SLEEPY HOLLOW FARM - Pomfret, VT drooled a lot. Which seems pretty manageable compared to having kids in college and aging parents to care for in 2019. ADAMS HILL ROAD - Newfane, VT THE TRUMBULL HOUSE - Hanover, NH One minute you’re just a kid with a new dog. The next, life’s far more complicated. That’s why a Raymond James financial advisor will partner with you to build a plan that is designed to account for your increasingly complex financial needs. From tuition and senior care, to your own desire to enjoy the retirement lifestyle you’ve always wanted. LIFE WELL PLANNED . JOHN S. BANKS, CFP®, D'90 Financial Advisor / Managing Director 5 T G, W, VT 802.457.2600 35 S M S, H, NH 603.643.0599 T: 585.485.6341 @ . . [email protected] johnbankswealthmanagement.com Certified Financial Planner Board of Standards Inc. owns the certification marks CFP®. © 2019 Raymond James & Associates, Inc., member New York Stock Exchange/SIPC. 19-BR3RM-0005 TA 6/19 S . P . BIG PICTURE Palm Readers | Nearly 200 miniature books are preserved in the Rauner Special Collections Library, which librarians have been showcasing on Instagram. The books fit easily into the palm of your hand— some are as tiny as a fingerprint and accompanied by a tiny magnifying glass. -
A Giant Whiff: Why the New CBA Fails Baseball's Smartest Small Market Franchises
DePaul Journal of Sports Law Volume 4 Issue 1 Summer 2007: Symposium - Regulation of Coaches' and Athletes' Behavior and Related Article 3 Contemporary Considerations A Giant Whiff: Why the New CBA Fails Baseball's Smartest Small Market Franchises Jon Berkon Follow this and additional works at: https://via.library.depaul.edu/jslcp Recommended Citation Jon Berkon, A Giant Whiff: Why the New CBA Fails Baseball's Smartest Small Market Franchises, 4 DePaul J. Sports L. & Contemp. Probs. 9 (2007) Available at: https://via.library.depaul.edu/jslcp/vol4/iss1/3 This Notes and Comments is brought to you for free and open access by the College of Law at Via Sapientiae. It has been accepted for inclusion in DePaul Journal of Sports Law by an authorized editor of Via Sapientiae. For more information, please contact [email protected]. A GIANT WHIFF: WHY THE NEW CBA FAILS BASEBALL'S SMARTEST SMALL MARKET FRANCHISES INTRODUCTION Just before Game 3 of the World Series, viewers saw something en- tirely unexpected. No, it wasn't the sight of the Cardinals and Tigers playing baseball in late October. Instead, it was Commissioner Bud Selig and Donald Fehr, the head of Major League Baseball Players' Association (MLBPA), gleefully announcing a new Collective Bar- gaining Agreement (CBA), thereby guaranteeing labor peace through 2011.1 The deal was struck a full two months before the 2002 CBA had expired, an occurrence once thought as likely as George Bush and Nancy Pelosi campaigning for each other in an election year.2 Baseball insiders attributed the deal to the sport's economic health. -
2017 AAPOR Annual Conference
May 18–21, 2017 Sheraton New Orleans Conference Program New Orleans, Louisiana Embracing Change and 72nd Diversity in Public Opinion Annual and Social Research Conference www.aapor.org/conference #AAPOR Introducing PARC A unique knowledge management tool for all your survey research files Find It. Fast. PARC™ is a secure, cloud-based application to store, search and instantly access your organization’s research materials. It parses and delivers individual survey questions and project documents, with all related files a single click away. Be Highly Organized, Efficient and Accurate Reinforce Your Client Relationships Disseminate to Stakeholders or the Public See it work and grab a free PARC USB drive! Exhibit Hall, 3rd Floor, Booth 10 Join our charter subscribers, including: Institutional memory is not a system. PARC is. Conference Program AMERICAN ASSOCIATION FOR PUBLIC OPINION RESEARCH 72nd Annual Conference Table of Contents Welcome to New Orleans 4 Wednesday, May 17 Conference App 5 Wednesday at-a-Glance 42 2017 Webinar Series 5 Wednesday Schedule of Events 43 General Conference Information 6 Highlights 7-10 Thursday, May 18 AAPOR’s Commitment to Diversity 11-13 Thursday at-a-Glance 44-45 Things to Do, Places to Go: Social Activities 14 Thursday Schedule of Events 46-58 AAPOR Executive Council 15-17 Chapter Presidents 17 Friday, May 19 Past Presidents 18 Friday at-a-Glance 59-62 Executive Office Staff 18 Friday Schedule of Events 63-89 Honorary Life Members 19 Committees/Task Forces 20-27 Saturday, May 20 Saturday at-a-Glance 90-94 -
Political Journalists Tweet About the Final 2016 Presidential Debate Hannah Hopper East Tennessee State University
East Tennessee State University Digital Commons @ East Tennessee State University Electronic Theses and Dissertations Student Works 5-2018 Political Journalists Tweet About the Final 2016 Presidential Debate Hannah Hopper East Tennessee State University Follow this and additional works at: https://dc.etsu.edu/etd Part of the American Politics Commons, Communication Technology and New Media Commons, Gender, Race, Sexuality, and Ethnicity in Communication Commons, Journalism Studies Commons, Political Theory Commons, Social Influence and Political Communication Commons, and the Social Media Commons Recommended Citation Hopper, Hannah, "Political Journalists Tweet About the Final 2016 Presidential Debate" (2018). Electronic Theses and Dissertations. Paper 3402. https://dc.etsu.edu/etd/3402 This Thesis - Open Access is brought to you for free and open access by the Student Works at Digital Commons @ East Tennessee State University. It has been accepted for inclusion in Electronic Theses and Dissertations by an authorized administrator of Digital Commons @ East Tennessee State University. For more information, please contact [email protected]. Political Journalists Tweet About the Final 2016 Presidential Debate _____________________ A thesis presented to the faculty of the Department of Media and Communication East Tennessee State University In partial fulfillment of the requirements for the degree Master of Arts in Brand and Media Strategy _____________________ by Hannah Hopper May 2018 _____________________ Dr. Susan E. Waters, Chair Dr. Melanie Richards Dr. Phyllis Thompson Keywords: Political Journalist, Twitter, Agenda Setting, Framing, Gatekeeping, Feminist Political Theory, Political Polarization, Presidential Debate, Hillary Clinton, Donald Trump ABSTRACT Political Journalists Tweet About the Final 2016 Presidential Debate by Hannah Hopper Past research shows that journalists are gatekeepers to information the public seeks. -
Silver, Nate (B
Silver, Nate (b. 1978) by Linda Rapp Encyclopedia Copyright © 2015, glbtq, Inc. Entry Copyright © 2013 glbtq, Inc. Reprinted from http://www.glbtq.com Statistical analyst Nate Silver first came to wide public attention in 2008, when he correctly predicted the outcome of the presidential election in 49 out of 50 states and also forecast accurate results for all of the 35 races for the United States Senate. He achieved a similar rate of success in 2012, that time getting the call of the vote for president right in every state. Nathaniel Silver is the son of Brian Silver, a professor of political science at Michigan State University, and Sally Silver, a community activist. He was born in East Lansing on January 13, 1978. Nate Silver. Photograph by Randy Stewart. Sally Silver described her son to Patricia Montemurri of the Detroit Free Press as a Image appears under the "very precocious youngster who quickly became an avid reader but even sooner Creative Commons showed an uncanny aptitude for mathematics. By the age of four, he could perform Attribution-Share Alike multiplication of double-digit numbers in his head" and had also grasped the concept 2.0 Generic license. of negative numbers. "My parents have always supported me tremendously," Nate Silver told Montemurri. "There was an emphasis on education and intellectual exploration. It was a household that had good values." The Silvers encouraged their son to pursue whatever interested him most, and this proved to include baseball. When his father took him to games at iconic Tiger Stadium in Detroit in 1984, he was swept up in the magic of that championship season and became a devoted fan of the team. -
Reflections on “The Signal & the Noise” by Nate Silver
Reflections on “The Signal & the Noise” by Nate Silver Nigel Marriott, MSc, Cstat, CSci Statistical Consultant www.marriott-stats.com September 2013 WARNING! Contains Plot Spoilers! RSS13, Newcastle www.marriott-stats.com The Signal & the Noise in a Nutshell • We are not very good at forecasting. • This is not because it is not possible to forecast • It is because we are human and we make human errors • We also fail to learn from our mistakes • The books contains 7 chapters illustrating the kind of mistakes we make • It then gives 6 chapters on how we can do better RSS13, Newcastle www.marriott-stats.com 7 Chapters of Errors (I) 1) Rating Agencies Risk Valuation of CDOs in 2007 ❑ CDOs were rated as AAA which implied P(Fail in 5yrs) = 1 in 850 ❑ By 2009, 28% of CDOs had failed, 200x expectations. ❑ Reasons include lack of history to model risk, lack of incentives to build quality models, failure to understand multivariate non-linear correlations. ❑ Essentially failure to appreciate OUT OF SAMPLE modelling risks. ❑ I had written about precisely this kind of risk in my MSC thesis in 1997. 2) Political Punditry and predicting 2008 US Presidential Election ❑ Pundits are either Foxes or Hedgehogs. ❑ Hedgehogs receive the publicity but Foxes are better forecasters. ❑ Foxes get better with experience, Hedgehogs get worse with time! ❑ “Where are the 1-handed statisticians & economists!?” ❑ I have always been happy to use multiple methods of forecasting. RSS13, Newcastle www.marriott-stats.com 7 Chapters of Errors (II) 3) Sport Forecasting (focus on Sabermetrics) ❑ At the time of “Moneyball” in 2003, sabermetricians were percieved as a threat to traditional scouts. -
Indiana Law Review Volume 52 2019 Number 1
Indiana Law Review Volume 52 2019 Number 1 SYMPOSIUM HOOSIER BRIDESMAIDS MARGO M. LAMBERT* A. CHRISTOPHER BRYANT** Indiana proudly proclaims itself the “Crossroads of America.”1 While some northeast-corridor cynics might deride the boast as a paraphrase for flyover country, there is no denying the political significance of the Hoosier State’s geographical and cultural centrality. As one of Indiana’s most celebrated historians has observed, “[b]y the beginning of the twentieth century Indiana was often cited as the most typical of American states, perhaps because Hoosiers in this age of transition generally resisted radical change and were able usually to balance moderate change with due attention to the continuities of life and culture.”2 Throughout the Gilded Age, elections in the state were so closely fought that the winning party rarely claimed more than slimmest majority.3 At the time, Indiana tended to favor Republicans over Democrats, but the races were close with Democrats claiming their share of victories.4 During these years, voter turnout remained high in presidential elections, with Indiana ranging from the eightieth to the ninetieth percentiles, no doubt a product of the closeness of the contests. Such voter turnout substantially exceeded that typical of surrounding states.5 Hoosiers liked to politick. The state’s high voter participation may also have been, in some part, attributable to its relaxed voting laws for adult males during the nineteenth * Associate Professor of History, University of Cincinnati Blue Ash College. ** Rufus King Professor of Constitutional Law, University of Cincinnati College of Law. The authors, proud Hoosiers by birth and Buckeyes by professional opportunity, thank first and foremost Brad Boswell for entrusting us with the opportunity to open the March 29, 2018 Symposium. -
Targeted Sampling from Massive Block Model Graphs with Personalized Pagerank∗
Targeted sampling from massive block model graphs with personalized PageRank∗ Fan Chen1, Yini Zhang2, and Karl Rohe1 1Department of Statistics 2School of Journalism and Mass Communication University of Wisconsin, Madison, WI 53706, USA Abstract This paper provides statistical theory and intuition for Personalized PageRank (PPR), a popular technique that samples a small community from a massive network. We study a setting where the entire network is expensive to thoroughly obtain or maintain, but we can start from a seed node of interest and \crawl" the network to find other nodes through their connections. By crawling the graph in a designed way, the PPR vector can be approximated without querying the entire massive graph, making it an alternative to snowball sampling. Using the degree-corrected stochastic block model, we study whether the PPR vector can select nodes that belong to the same block as the seed node. We provide a simple and interpretable form for the PPR vector, highlighting its biases towards high degree nodes outside of the target block. We examine a simple adjustment based on node degrees and establish consistency results for PPR clustering that allows for directed graphs. These results are enabled by recent technical advances showing the element-wise convergence of eigenvectors. We illustrate the method with the massive Twitter friendship graph, which we crawl using the Twitter API. We find that (i) the adjusted and unadjusted PPR techniques are complementary approaches, where the adjustment makes the results particularly localized around the seed node and (ii) the bias adjustment greatly benefits from degree regularization. Keywords Community detection; Degree-corrected stochastic block model; Local clustering; Network sampling; Personalized PageRank arXiv:1910.12937v2 [cs.SI] 1 Jul 2020 1 Introduction Much of the literature on graph sampling has treated the entire graph, or all of the people in it, as the target population. -
DAVID WASSERMAN Senior Election Analyst, the Cook Political Report and NBC Contributor
DAVID WASSERMAN Senior Election Analyst, The Cook Political Report and NBC Contributor David Wasserman is the U.S. House editor and senior election analyst for the non-partisan newsletter, The Cook Political Report, and a contributor to NBC News. Founded in 1984, The Cook Political Report provides analyses of U.S. presidential, Senate, House, and gubernatorial races. The New York Times called The Cook Political Report “a newsletter that both parties regard as authoritative.” Wasserman analyzes the current political environment in lively and entertaining presentations that he can tailor to his audiences’ specific interests or locales. His data-driven forecasting looks at both national and local trends (if requested, he can even do a district-by-district outlook), the relationship between consumer brand loyalty and voting, and what the future holds for American elections. He is exclusively represented by Leading Authorities speakers bureau. Highly-Praised Expertise. Nate Silver of FiveThirtyEight.com has written: “Wasserman’s knowledge of the nooks and crannies of political geography can make him seem like a local,” and the Los Angeles Times called Wasserman “whip smart” and a “scrupulously nonpartisan” analyst whose “numbers nerd-dom was foretold at a young age.” Chuck Todd, host of NBC's Meet the Press, recently called David "pretty much the only person you need to follow on Election Night." In 2016, Wasserman drew wide praise for his accurate pre-election analysis, including his uncanny September piece entitled, “How Trump Could Win the White House While Losing the Popular Vote.” Leading Republican pollster Kristen Soltis Anderson concluded, “Nobody of my generation knows American politics as well as Dave Wasserman.” Political Intelligence. -
The Grifters, Chapter 3 – Election Prediction November 9, 2020
The Grifters, Chapter 3 – Election Prediction November 9, 2020 That’s Nate Silver, founder and face of election “modeler” FiveThirtyEight, performing his traditional “Awkshually, we weren’t wrong” dance after mangling yet another national election. Haha. No, that’s a falsehood, as the fact checkers would say. That claim was made with no evidence, as an ABC News reporter would say. In truth, this is a picture of Nate Silver speaking at the “ABC Leadership Breakfast” during Advertising Week XII. Of course Advertising Week uses the same numbering system as the SuperBowl ™. That would be 2015 in normie text, about a year prior to FiveThirtyEight’s mangling of the prior national election. You will only see Nate Silver on ABC News and other ABC media properties and events, because FiveThirtyEight is a wholly-owned subsidiary of ABC News. ABC News, of course, is a wholly-owned subsidiary of The Walt Disney Corporation. Hold that thought. ©2020 Ben Hunt 1 All rights reserved. That’s Fivey Fox, the FiveThirtyEight cartoon mascot, who is happy to guide you through the genius-level mathematics and super-science that “powers” FiveThirtyEight’s election models. You may have also seen Fivey Fox on ABC News programming, as part of a weekly animated cartoon segment broadcast over the past nine months to “inform” viewers about “how the election actually works”. For all you FiveThirtyEight and ABC News viewers, I’d guess that most of you find Fivey Fox and the cartoon infographics pretty cringey. I’d guess that most of you believe, however, that these animated cartoons are not aimed at you, but at “low-information” viewers who are not easily capable of understanding how the election actually works, and certainly not capable of understanding the genius-level mathematics and super-science behind FiveThirtyEight’s election models. -
Origins of Presidential Poll Aggregation: a Perspective from 2004 to 2012 Samuel S.-H
International Journal of Forecasting ( ) – Contents lists available at ScienceDirect International Journal of Forecasting journal homepage: www.elsevier.com/locate/ijforecast Origins of Presidential poll aggregation: A perspective from 2004 to 2012 Samuel S.-H. Wang ∗ Princeton Neuroscience Institute and Department of Molecular Biology, Princeton University, Princeton, NJ 08544, United States article info a b s t r a c t Keywords: US political reporting has become extraordinarily rich in polling data. However, this Poll aggregation increase in information availability has not been matched by an improvement in the Bayesian estimation accuracy of poll-based news stories, which usually examine a single survey at a time, rather Opinion polls Election forecasting than providing an aggregated, more accurate view. In 2004, I developed a meta-analysis Election snapshots that reduced the polling noise for the Presidential race by reducing all available state polls to a snapshot at a single time, known as the Electoral Vote estimator. Assuming that Presidential pollsters are accurate in the aggregate, the snapshot has an accuracy equivalent to less than ±0.5% in the national popular-vote margin. The estimator outperforms both the aggregator FiveThirtyEight and the betting market InTrade. Complex models, which adjust individual polls and employ pre-campaign ``fundamental'' variables, improve the accuracy in individual states but provide little or no advantage in overall performance, while at the same time reducing transparency. A polls-only snapshot can also identify shifts in the race, with a time resolution of a single day, thus assisting in the identification of discrete events that influence a race. Finally, starting at around Memorial Day, variations in the polling snapshot over time are sufficient to enable the production of a high-quality, random-drift-based prediction without a need for the fundamentals that are traditionally used by political science models. -
Culture of Lies Understanding Fake News & Its Spiritual Ramifications
Culture of Lies Understanding Fake News & Its Spiritual Ramifications Timothy Zebell CreateSpace Publisher Culture of Lies Copyright © 2019 by Timothy Zebell. Unless otherwise indicated, all Scripture quotations are from The Holy Bible, English Standard Version, copyright ©2001 by Crossway Bibles, a publishing ministry of Good News Publishers. Used by permission. All rights reserved. ISBN-9781693873225 Imprint: Independently Published Contents _____________________ 1. The State of Our Media ................................................................ 1 2. The President’s Fake News Awards ................................... 11 3. A Culture of Lies ....................................................................... 25 4. The Anatomy of Fake News .............................................. 51 5. Three Types of Fake News ....................................................... 65 6. A Long History of Fake News .......................................... 85 7. Fake Polls & Fake Fact-Checkers ............................................. 97 8. Fake Hate ......................................................................... 115 9. The Growing Threat of Censorship ....................................... 125 10. When Fake News Becomes a Culture of Lies ................ 139 Appendix A – Further Details of Examples Used .............. 149 Appendix B – Additional Examples of Fake News in the Era of Trump: 2016 .............................................. 157 Appendix C – Additional Examples of Fake News in the Era of Trump: 2017 .......................................