"How To Lie With Statistics" FULL PODCAST
Here are all three of our podcasts (of Darrel Huff's How To Lie With Statistics) combined into one giant 34 minute podcast!!
Speakers: Eamon Kelly and Will Derry
ENJOY :)
Statistics - Miles - C Public Feed
Podcast #2
This is our second podcast reflecting on chapters 3-6.
Speakers: Jada Terrell, Kadija Koita, and Isabella Blackwell
This podcast covered topics such as advertisement, coin flips, and how we interpreted different illustrations in the chapters. We recalled doing coin flips during the first quarter of the year, and how we thought it'd be 50/50 but it's not, actually far from it. We also talked about IQ tests and how we feel about their relevance.
Podcast #1
How to Lie with Statistics
Speakers: Jada Terrell, Isabella Blackwell, and Kadija Koita
For this podcast, we talked about chapters 1-2 of the book. The main ideas we discussed were about collecting data sets and how we go about them. We noticed the different examples he used in the book to talk about how to choose samples and about bias, and we talked about our experience with collecting data in the past and how particularly our biases have influenced our data collection.
"How To Lie With Statistics" PODCAST #3
Here is our third and final podcast discussing chapters 7 - 10 and our personal opinions on Darrell Huff's How To Lie With Statistics.
Speakers: Eamon Kelly and Will Derry
The topics that we talked about in this conversation include:
- Correlation
- "Who Says So?"
- respect for authority
- Demonstrating something else to prove a point
- How to avoid statistical lies
ENJOY :)
How To Lie with Statistic Podcast #2
For this podcast we decided to talk about chapter 4,5 and 6 and how it was very interesting as well as being full of fillers due to the fact that there was not enough information related to other topics in the chapter.
How to Lie with Statistics Podcast 2
For this podcast we reviewed chapters 6 and 7, going over the overall idea of each, then discussing and reacting to the examples in both chapters. We talked a lot about our discomfort with some of the examples, and with the realization that we need to think deeply about everything because there is a chance that it could be a lie.
How To Lie With Statistics
- Group members present during the discussion: Amanda, Adowa, Sattera, Nashay
- What your club discussed: Whether the methods in the book manipulate people
- How you discussed it: We brought up different examples and what we found deceving.
- Any points of conflict/disagreement in discussion: The main conflict is that we all feel like there are certain samples that are not considered as sufficient samples to derive a conclusion from.
- Questions that came up as a result of the discussion: How did you guys feel about the book so far? etc.
How to lie with Statistics Podcast #1
This podcast is about the book How to Lie With Statistics by Darrell Huff Chapters 1-3.
Speakers:
Carolyn Borock
Alejandro Bautista-Garcia
Wilson Biggs
Topics Discussed:
- The bias between the numbers and how it wasn't accurate data to compare to the entire population.
- What average means and how it's used.
- The fact that it's so easy to mix numbers and lie with stats.
How To Lie With Statistics Podcast #1
Here is our first podcast about the book How to Lie With Statistics by Darrell Huff.
Speakers:
- Felix d'Hermillion
- Tamira Bell
- Angelica Owens
Points discussed:
- Examples of how the audience/population is deceived by statistical studies that are biased.
- How bias is almost unavoidable in a study.
- Which is the better and most accurate average: mean, median, or mode?
- How the average can be skewed depending on the spread of the data and minimum/maximum.
Each topic was discussed by pulling a quote from the text and then everyone offered their opinion.
Conflicts or Disagreements:
There were no disagreements about what we found in the text. We all agreed that is very easy to lie or deceive an audience or population with a very biased study.
Questions:
- Have we used statistics in our lives to lie to people?
- How can we conduct a study that has the least amount of bias as possible and represents the population it's surveying fairly?
Link To Our Podcast:
"How To Lie With Statistics" PODCAST #2
Here is our second podcast on chapters 4 - 6 of Darrell Huff's How To Lie With Statistics.
Speakers: Eamon Kelly and William Derry
The topics that we talked about in this podcast include...
- Types of lies
- the word "averages"
- Visual Representations of Data
- etc.
ENJOY :)
