Downloads and Free Reading Options

Music: www.purple-planet.com In this video I go over some myths & misconceptions we have in our society that seem like they are backed up by data, but in reality they come from cherry picked data or bad data or misinterpreted data TeeSpring Store: https://teespring.com/stores/actualjusticewarrior https://www.minds.com/actualjusticewarrior Support me on Patreon: https://www.patreon.com/SeanFitzgerald Paypal: https://www.paypal.me/Iamsean90 Venmo: www.venmo.com/iamsean90 Support me on Subscribe Star: https://www.subscribestar.com/seanfitzgerald Gab: https://gab.com/Iamsean90 Twitter https://twitter.com/iamsean90 Backup Twitter https://twitter.com/AJWSean Second Channel: https://www.youtube.com/user/DudeMonkeyHQ Sources: Hours in a school day: https://www.ecs.org/clearinghouse/78/24/7824.pdf Education Spending: https://nces.ed.gov/fastfacts/display.asp?id=66 Underinsurance Common Definitions: https://www.investopedia.com/terms/u/underinsurance.asp Taxation: https://taxfoundation.org/summary-latest-federal-income-tax-data-2018-update/# Life Expectancy: https://www.nationalreview.com/2017/05/american-life-expectancy-unrelated-to-government-provided-health-care/ Life Expectancy 2: https://www.forbes.com/sites/theapothecary/2011/11/23/the-myth-of-americans-poor-life-expectancy/#2b9dd1712b98 Sanders Claim: https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&ved=2ahUKEwjRgpT95J_nAhUsVd8KHVOWAhcQFjAAegQIBBAB&url=https%3A%2F%2Ftwitter.com%2Fberniesanders%2Fstatus%2F1193002713367232513%3Flang%3Den&usg=AOvVaw1OWnr8hipAY3g9y-AtuAos Obama 35 min wage age: https://www.politifact.com/truth-o-meter/statements/2014/apr/29/barack-obama/barack-obama-says-average-minimum-wage-worker-35-y/ #FakeStats #PoliticalLies #IamSean90 FAIR USE NOTICE This video may contain copyrighted material; the use of which has not been specifically authorized by the copyright owner. We are making such material available for the purposes of criticism, comment, review and news reporting which constitute the 'fair use' of any such copyrighted material as provided for in section 107 of the US Copyright Law. Not withstanding the provisions of sections 106 and 106A, the fair use of a copyrighted work for purposes such as criticism, comment, review and news reporting is not an infringement of copyright.

Shayfer James explains the psychology of leading people on during a conversation.

How to Lie with Statistics is a book written by Darrell Huff in 1954 presenting an introduction to statistics for the general reader.

How to Lie with Statistics is a book written by Darrell Huff in 1954 presenting an introduction to statistics for the general reader.

Check the channel for more related content

142 p. 22 cm

Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from the figures, and points up the countless number of dodges which are used to fool rather than inform

A more detailed description will soon be made with small indexes.  Check the channel for further content

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.

Huff, Darrell How To Lie With Statistics 

How to Lie with Statistics by Darrell Huff

How to Lie with Statistics is a book written by Darrell Huff in 1954 presenting an introduction to statistics for the general reader. Not a statistician, Huff was a journalist who wrote many "how to" articles as a freelancer. The book is a brief, breezy illustrated volume outlining errors when it comes to the interpretation of statistics, and how these errors may create incorrect conclusions. In the 1960s and 1970s, it became a standard textbook introduction to the subject of statistics for many college students. It has become one of the best-selling statistics books in history, with over one and a half million copies sold in the English-language edition. It has also been widely translated. Themes of the book include "Correlation does not imply causation" and "Using random sampling". It also shows how statistical graphs can be used to distort reality, for example by truncating the bottom of a line or bar chart, so that differences seem larger than they are, or by representing one-dimensional quantities on a pictogram by two- or three-dimensional objects to compare their sizes, so that the reader forgets that the images do not scale the same way the quantities do. The original edition contained illustrations by artist Irving Geis. In a UK edition, these were replaced with cartoons by Mel Calman.

How to Lie with Statistics is a book written by Darrell Huff in 1954 presenting an introduction to statistics for the general reader. Not a statistician, Huff was a journalist who wrote many "how to" articles as a freelancer. The book is a brief, breezy illustrated volume outlining errors when it comes to the interpretation of statistics, and how these errors may create incorrect conclusions. In the 1960s and 1970s, it became a standard textbook introduction to the subject of statistics for many college students. It has become one of the best-selling statistics books in history, with over one and a half million copies sold in the English-language edition. It has also been widely translated. Themes of the book include "Correlation does not imply causation" and "Using random sampling". It also shows how statistical graphs can be used to distort reality, for example by truncating the bottom of a line or bar chart, so that differences seem larger than they are, or by representing one-dimensional quantities on a pictogram by two- or three-dimensional objects to compare their sizes, so that the reader forgets that the images do not scale the same way the quantities do. The original edition contained illustrations by artist Irving Geis. In a UK edition, these were replaced with cartoons by Mel Calman.