Critical statistics: seeing beyond the headlines
Intro -- Contents -- LIST OF FIGURES AND TABLES -- Figures -- Tables -- Abbreviations -- Preface -- TOUR OF THE BOOK -- Headlines -- Boxes -- Summaries -- Terminology used in this chapter -- 'Seeing Beyond the Headlines 'toolboxes -- Exercises -- Italic, Bold and Underline -- GUIDE TO THE WEBSITE -- The Critical Statistics website -- ACKNOWLEDGEMENTS -- 1: 99% of Statistics are made up -- On bullshit -- The world runs on numbers -- Sometimes contraception doesn't work -- Statistics in the fake news era -- Don't be part of the problem -- Statistics for social science students -- Numbers and your degree -- Numbers and your career -- 2: Where do NumbersCome From? -- The wires -- Making the news -- #nofilter -- Where's the harm? -- A lie can run around the world before the truth can get its boots on -- Summary -- Terminology used in this chapter -- Seeing beyond the headlines -- 1. WHICH ORGANISATION OR PERSON PRODUCED THE STATISTIC? -- 2. IS THE ORGANISATION/PERSON LIKELY TO HAVE AN AGENDA? -- 3. DOES THE JOURNALIST CHALLENGE THE STATISTIC? -- Exercises for Chapter 2 -- Exercise 1: Follow the press-release -- Exercise 2: Zombie statistics -- 3: SAMPLES, SAMPLES EVERYWHERE … -- It's samples all the way down … -- A lot of Australians don't believe in climate change -- 1.9 unemployed people for every vacancy -- Canadians, despite being Canadian, still sometimes kill each other -- Swords and dragons: not just for geeks any more -- Samples almost all the way down … -- Size matters -- Brexit errors -- Percentage points -- Margins of error: the maths bit -- Low fidelity -- Numbers other than percentages -- Bad samples -- Spotting biased samples -- Self-selected samples -- Scientific surveys -- Non-response bias -- Sampling beyond surveys -- The magic of sampling -- Summary -- Terminology used in this chapter -- Seeing beyond the headlines.