Complete Course Mastery How To Lie With Statistics
Learn To Detect Biased Samples, Misleading Averages, And False Statistical CausalitiesBy Metacourse Publishing
Length1h 8m
About this audiobook
COMPLETE COURSE MASTERY
HOW TO LIE WITH STATISTICS
LEARN TO DETECT BIASED SAMPLES, MISLEADING AVERAGES, AND FALSE STATISTICAL CAUSALITIES
CREATED BY: METACOURSE PUBLISHING
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CONTENT
Welcome To Your Critical Thinking Journey
Module 01: Sampling With Built-In Bias
What Is A Representative Sample And How Is It Constructed?
Visible And Invisible Sources Of Bias In Surveys
Common Errors In Random And Stratified Sampling
Module 02: The Strategically Chosen Average
Practical Differences Between Mean, Median And Mode
Normal Distributions And Skewed Distributions
How Averages Can Hide Inequalities
Module 03: The Small Figures That Don't Appear
Sample Size And Random Variation
Significance Level And Margin Of Error
Importance Of Range And Dispersion Versus The Average
Module 04: A Lot Of Another Quiet For Almost Nothing
Probable Error And Standard Error
Statistically Significant Differences Vs. Actual Differences
Correct Interpretation Of Coefficients And Indices
Module 05: The Spectacular Graphic
Manipulation Of Scales In Graphs
Truncated Axes And Visual Enlargement Of Differences
Visual Presentation That Leads To Erroneous Conclusions
Chapter 06: The One-Dimensional Image
Distortion Through Three-Dimensional Figures
Disproportionate Visual Comparisons
The Psychological Effect Of Graphic Size
Module 07: The Semi-Attached Figure
Apparent Correlation And False Causality
Hidden Variables And Omitted Factors
Incorrect Interpretations Of Statistical Relationships
Module 08: Post Hoc Strikes Again
Confusion Between Temporal Succession And Causality
Statistical Coincidences Vs. Causal Relationships
How To Detect Simplistic Explanations
Module 09: How To Create Persuasive Statistics
Strategic Data Selection
Ambiguous Wording And Imprecise Terms
Selective Presentation Of Favorable Results
Module 10: How To Respond To Statistics
Who Claims It And How Do They Know It?
What Is Missing From The Information Presented?
Does The Data Make Logical And Contextual Sense?
Your 90-Day Transformation Plan
Conclusion And Next Steps
Audiobook details
GenreSelf-Help, Psychology
Length1 hr 8 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateMar 23, 2026
LanguageEnglish
Table of contents
1CONTENT
2WELCOME TO YOUR CRITICAL THINKING JOURNEY
3MODULE 01: SAMPLING WITH BUILT-IN BIAS
4WHAT IS A REPRESENTATIVE SAMPLE AND HOW IS IT CONSTRUCTED?
5VISIBLE AND INVISIBLE SOURCES OF BIAS IN SURVEYS
Show all chaptersShow less
6COMMON ERRORS IN RANDOM AND STRATIFIED SAMPLING
7MODULE 02: THE STRATEGICALLY CHOSEN AVERAGE
8PRACTICAL DIFFERENCES BETWEEN MEAN, MEDIAN AND MODE
9NORMAL DISTRIBUTIONS AND SKEWED DISTRIBUTIONS
10HOW AVERAGES CAN HIDE INEQUALITIES
11MODULE 03: THE SMALL FIGURES THAT DON'T APPEAR
12SAMPLE SIZE AND RANDOM VARIATION
13SIGNIFICANCE LEVEL AND MARGIN OF ERROR
14IMPORTANCE OF RANGE AND DISPERSION VERSUS THE AVERAGE
15MODULE 04: A LOT OF ANOTHER QUIET FOR ALMOST NOTHING
16PROBABLE ERROR AND STANDARD ERROR
17STATISTICALLY SIGNIFICANT DIFFERENCES VS. ACTUAL DIFFERENCES
18CORRECT INTERPRETATION OF COEFFICIENTS AND INDICES
19MODULE 05: THE SPECTACULAR GRAPHIC
20MANIPULATION OF SCALES IN GRAPHS
21TRUNCATED AXES AND VISUAL ENLARGEMENT OF DIFFERENCES
22VISUAL PRESENTATION THAT LEADS TO ERRONEOUS CONCLUSIONS
23CHAPTER 06: THE ONE-DIMENSIONAL IMAGE
24DISTORTION THROUGH THREE-DIMENSIONAL FIGURES
25DISPROPORTIONATE VISUAL COMPARISONS
26THE PSYCHOLOGICAL EFFECT OF GRAPHIC SIZE
27MODULE 07: THE SEMI-ATTACHED FIGURE
28APPARENT CORRELATION AND FALSE CAUSALITY
29HIDDEN VARIABLES AND OMITTED FACTORS
30INCORRECT INTERPRETATIONS OF STATISTICAL RELATIONSHIPS
31MODULE 08: POST HOC STRIKES AGAIN
32CONFUSION BETWEEN TEMPORAL SUCCESSION AND CAUSALITY
33STATISTICAL COINCIDENCES VS. CAUSAL RELATIONSHIPS
34HOW TO DETECT SIMPLISTIC EXPLANATIONS
35MODULE 09: HOW TO CREATE PERSUASIVE STATISTICS
36STRATEGIC DATA SELECTION
37AMBIGUOUS WORDING AND IMPRECISE TERMS
38SELECTIVE PRESENTATION OF FAVORABLE RESULTS
39MODULE 10: HOW TO RESPOND TO STATISTICS
40WHO CLAIMS IT AND HOW DO THEY KNOW IT?
41WHAT IS MISSING FROM THE INFORMATION PRESENTED?
42DOES THE DATA MAKE LOGICAL AND CONTEXTUAL SENSE?
43YOUR 90-DAY TRANSFORMATION PLAN
44CONCLUSION AND NEXT STEPS
45REVIEWS
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