Status Updates From How to Make the World Add U...

Meh so far- it reads like I had an idea and wrote a book

- search your feelings
- our feelings control our expertise
- we like to confirm our beliefs
- emotions cloud judgement
- bias conforming
- we are more likely to not look for faults if we “want to believe” something

If algorithms are shown a skewed sample of the world, they will reach a skewed conclusion.

Psychologist are increasingly acknowledging the problem of experiments that study only “weird subjects“ that is, Western, Educated, and from Industrialized Rich Democracies.

Missing responses are examples of “dark data“ we know the people are out there and we know they have opinions, but we can only guess what those opinions are. David Hand.

Każda książka cytująca Pratchetta dostanie ode mnie pół gwiazdki więcej.

A lobby group seeking to deny the statistical evidence will always be able to point to some aspect of the current science that is not settled, note that the matter is terribly complicated, and call for more research.

Sometimes an advanced degree in statistics would’ve been useful, but you never need it to ask the right questions.

Sometimes the problem is not that we are too eager to believe something, but that we find reasons not to believe anything.

Doubt is easy to sell because it is part of the process of scientific exploration and debate.

Good statistics are like a telescope for an astronomer, a microscope for a bacteriologist, or an x-ray for a radiologist. If we are willing to let them, Good statistics help us see things about the world around us and about ourselves, both large and small that we would not be able to see in any other way.

In particular, experiments tend to be done on subjects that are considered WEIRD, an acronym that stands for Western, Educated and from Industrialised Rich Democracies.

I almost forgot that this book belongs to the economics genre. Many of the stories are arranged properly, even though I’ve heard some of them in other books.

impressed.

Not bad..

Rules
#1: search your feelings
#2: ponder your personal experience
#3: avoid premature enumeration
#4: step back and enjoy the view
#5: get the backstory

In the movie A Few Good Men, there's a line from Kaffee when they are preparing for a defendant's court:
"This is about a sales pitch. It's not going to be won by the law. It's gonna be won by the lawyers."

I find that line inspiring while reading this book

I felt obliged to read this due to my line of work. Will report back on what I find 🫡

How many times is this guy gonna mention Trump in a book on statistics? Answer: WAY TOO MANY 🤣

Clearly more journalist than statistician and it shows haha

I'M BACKKKKKKKKKK!

"Para os superanalistas, as crenças são hipóteses a testar e não tesouros para guardar"

Yes statistics and big data

Good soup

Not the book starting with a joke my statistics teacher made too. NO

One of the best intros to a science\math book ever. I think I would like to own this book.

This is really interesting.

Data visualization = storytelling. You choose what stories you wanna tell and you tell it in the form of graphic. The same data set can tell two different stories depending on how you “visualize” it (e.g. the dramatic Iraq’s bloody toll)

One common with data visualization though is that it is often more beautiful than informative.

And Florence Nightingale is THE queen of data visualization.

COME ON NOW, once more with feeling, we shall finish this book

1. cognitive reflection
2. example about infant mortality rate: when looking at stats, be sure define what is being measured and then break out the math.
3. “the death of one man is a tragic story; the death of millions is just a statistic.”

1. doubt is powerful and yet easily exploited
2. swayed by our own emotions. we see what we want to believe

Google Flu turned out to be winter detector, high school basketball predicted flu, "You Look Like A Thing and I Love you" algorithm shown healthy skin and skin cancer which had ruler in photograph, "Big Data" by Cukier and Mayer-Schonberger used Google Flu Trends before collapse "Weapons of Math Destruction"

Google Flu turned out to be winter detector, high school basketball predicted flu, "You Look Like A Thing and I Love you" algorithm shown healthy skin and skin cancer which had ruler in photograph, "Big Data" by Cukier and Mayer-Schonberger used Google Flu Trends before collapse "Weapons of Math Destruction"

"Dark data"missing responses when try to conduct polls or census--must as k who's missing, can lead to sampling bias. more answers doesn't mean more accurate-Gallup poll with 3000 ppl beat poll with 2 mill, also algorithmic bias if shown skewed sample

"Invsible women"-women ignored,police vests ignore vests,Apple health app ignores menstruation,Asch conformity experiments at Swarthmore only men, Milgram's only men,thaliomide resulted in women excluded from clinical trials, COVID data didn't aggregate cases by gender so couldn't say why men dying more

Role of science journalists to translate scientific knowledge, can be superficial retread of press release or can explain facts, put them into context and speak truth to power.ask how large effect, was research done with humans,mice or petri dish, make space to explain. Cochrane Collaboration does systematic research review