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Statistics - Blog Posts
I am lucky... Not that I'm that much into soccer, but... I was in Lisbon when Portugal became European Champions. THAT was a whole city going totally crazy! And today, again right in the spot, Benfica becomes national champions. Again, the city is going happy. (Except for those very quiet Sporting-fans...) In every public place, in most normal café's, in every parque or jardim... People are gathered to celebrate. And the whole experience is so different from Denmark. Here it's happy partying. And only that. Not frustrations and aggressive behaviour. So: More respect for a people that uses every opportunity to be happy. No matter what the "official" ranking of 'happy' countries say... (Which is a as misleading as possible...) No! I'm not that big a soccer fan. But I'm fan of a country that uses any excuse to be... Happy! #benfica #champions #lisbon #happiness #portuguese #happycountries #partytime #winners #nothingtodowithwriting #anightout #writingbreak #people #statistics #lies #campeones #celebrating #notmuch #notwriting #laurieandthestoryof (Is somehow related to this...) #howthiscountryanditspeoplemakesmewritealmostallthetimeevenwhenimjustwatchingsocceroutsideinaparcfillefwithpartyingcelebratingbenficafans (Usual one-off hashtag... VERY one-off!) #udenfilter #mantelmomento #danielmantel (her: Lisbon, Portugal)
@johnhocksbur
This isn’t how statistical methodology works.
If you want to be able to generalize the results of your survey to the general population, you have to use some form of random sampling*, you can’t just ask random people on the internet. Twitter polls (etc.) have two main flaws:
1. Response is voluntary, which means that people who don’t care are less likely to answer, and (on questions where this is applicable) people with more middle-of-the-road or less-shocking answers are less likely to answer.
2. They operate using “convenience sampling,” which is basically what it sounds like and tends to bias the results in favor of whatever opinion is held by the people in the group likely to notice the survey. A political survey on the Fox News website will tend to have more conservative responses than the general population; a sports survey on the Boston Globe website will tend to have more pro-Red Sox responses than the general population; a survey on a Twitter page will tend to have more whatever-the-twitter-users-followers think responses than the general population.
(I did a brief Google search to see if this has been surveyed reliably and didn’t find anything, although possibly I could find something in an academic database. If anyone can find a reliable survey, I would be interested in seeing what the results.)
*This is somewhat complicated by the fact that it is nearly impossible to do a perfectly random sample. Phone surveys in which callers are randomly chosen and the response rate is high are generally close enough in surveys of Americans, although they aren’t perfect.
This is so interesting to me. 65% of people would rather experience rape than be falsely accused of rape.
Note: The phrase “the chart” refers to the graph in iamretrograde’s post, titled “Comparisons of Intimate Partner Violence Against Various Categories.”
I did a reverse image search on the chart, followed by searching for the text. This led me to this site http://chart-mining.com/comparison-of-intimate-partner-violence-against-various-categories/, which has the graph followed by a source. They source it as being from http://www.frc.org/get.cfm?i=IS04C02 . I followed the link, but it didn’t have the image, just a page telling me that I could use the website’s search bar to help find what I was looking for.
I tried searching for some of the keywords used on the image with the site’s search bar and discovered two things:
1. The site has an extreme anti-LGBT+ agenda and is extremely biased.
2. I could not find any mention of the supposed statistics. I did find this article: http://downloads.frc.org/EF/EF08L44.pdf , which says, “ ‘Domestic violence is reported to occur in about 11 percent of lesbian homes,’ the article [this is referencing another study] states. It goes on to claim that this is ,about half the rate of 20 percent reported by heterosexual women.’ However, this comparison fails to note that the highest rates of domestic violence among heterosexuals occur among those who are divorced, separated, cohabiting, or in sexual relationships outside of marriage; married women experience the lowest rates of domestic violence of any household arrangement.” Which, as far as I can tell, is claiming that this is study doesn’t count because heterosexual married women are less likely to experience domestic violence than unmarried heterosexual women who have a male partner. This may be true, I’m not sure, but I fail to see how this proves their point. In addition, these figures are significantly lower in both cases than the figures given on the graph.
I then looked up the article they reference. It’s here: http://www.glma.org/index.cfm?fuseaction=Page.viewPage&pageID=691 . The organization publishing it, the Gay and Lesbian Medical Association (yes, they will also be biased) has removed the statistic and didn’t cite their sources, so that’s mostly a dead end. I found a few other sources, but all of them have various flaws (convenience sampling, over-specificity, etc.) that make them not useful.
Overall, I could not find anything to back up the statistics in that graph. If we accept the statistics provided by an anti-LGBT+ organization, who have a vested interest in the opposite result, then we have clear evidence that domestic violence occurs at lower rates among two-woman couples than one-man one woman couples. Since two-woman couples would have twice as many opportunities to occur, this would seem to indicate that, from a domestic violence point of view, it is safer for a woman to be in a relationship with another woman than with a man. Furthermore, it is safer overall for everyone than that chart indicates. (This does not mean the given statistics are good! However, they are less bad.)
If someone can find a source to back up the chart, I will absolutely reconsider this; until then, it looks like its claims are false.
Heterosexuality is Stockholm Syndrome
Same time same place as 2 days ago I swear my stats class is cursed....
Astrology doesn't seem to work.
That's actually true. Using a two-sample hypothesis test, a study by Numeroff & Bond (1985) found that mice given a cookie were significantly more likely to ask for milk than mice that were not given a cookie at α = 0.05 (p = 0.036667). Notably, however, the academic integrity of the authors has been called into question by other researchers.
Studies show that if you give a mouse a cookie, there's a high likelihood they'll ask for milk too
Heres the thing you gotta understand about statistics.
“Increases your chances by 80%” does not mean “there is now an 80% chance”.
If your chances were previously 10%, your chances are now 18%, not 90%.
if your chances were roughly 1%, they’re now just slightly less than 2%.
thats how that works.
just had a presentation about psat scores...
im no ap stats student but i know a bad graph when i see one
"artist"'s recreation. x axis is completely wrong, should show from like 1000-1520 or something
its like multiple box-whisker graphs without the whiskers because that's exactly what it is.
but that's not the bad part. its more like the fact that this is a presentation, people are sitting throughout the entire room at different angles, which makes it kinda confusing to know where one box ends exactly. like from my POV, the top 25 universities (top-most box irl) was somewhere between 1400 and 1450, and I'd really like to know.
the easiest solution is to just add vertical lines
like this or something. much easier to know where boxes end. (again, still not accurate, i wish i had a pic of the actual graph)
Statistics Essentials for Analytics
> Understanding the data > Probability and its uses > Statistical Inference > Data Clustering > Testing the data > Regression Modelling
Probability and Statistics for Business and Data Science
> Understand the basics of probability >Understand how to use various statistical distributions > Implement one way and two way ANOVA > Apply statistical methods and hypothesis testing to business problems
Survivorship Bias
I have posted about survivorship bias and how it affects your career choices: how a Hollywood actor giving the classic “follow your dreams and never give up” line is bad advice and is pure survivorship bias at work.
When I read up on the wikipedia page, I encountered an interesting story:
During WWII the US Air Force wanted to minimize bomber losses to enemy fire. The Center for Naval Analyses ran a research on where bombers tend to get hit with the explicit aim of enforcing the parts of the airframe that is most likely to receive incoming fire. This is what they came up with:
So, they said: the red dots are where bombers are most likely to be hit, so put some more armor on those parts to make the bombers more resilient. That looked like a logical conclusion, until Abraham Wald - a mathematician - started asking questions:
- how did you obtain that data? - well, we looked at every bomber returning from a raid, marked the damages on the airframe on a sheet and collected the sheets from all allied air bases over months. What you see is the result of hundreds of those sheets. - and your conclusion? - well, the red dots are where the bombers were hit. So let’s enforce those parts because they are most exposed to enemy fire. - no. the red dots are where a bomber can take a hit and return. The bombers that took a hit to the ailerons, the engines or the cockpit never made it home. That’s why they are absent in your data. The blank spots are exactly where you have to enforce the airframe, so those bombers can return.
This is survivorship bias. You only see a subset of the outcomes. The ones that made it far enough to be visible. Look out for absence of data. Sometimes they tell a story of their own.
BTW: You can see the result of this research today. This is the exact reason the A-10 has the pilot sitting in a titanium armor bathtub and has it’s engines placed high and shielded.
Some LGBTQIA+ Statistics:
9% of the world's population identifies as LGBTQIA+ (738 million)
3% of the world's population identifies as transgender or nonbinary (246 million)
1.7% of the world's population is intersex (139.4 million)
A large slice of the pie.
26/05/2021
Salut 👋
I just finished 30 minutes of French 🇫🇷 in Duolingo.I love the way it sounds 🤭So today I have decided to do the following stuff
Simple Harmonic Motion
Group theory Problems
Mathematics and statistics revision
I'm hungry,I'll go prepare my breakfast now.Ba bye have a wonderful day!
look into a mirror and say “statistics” three times and timothee will appear and say “that’s hella tight”
Did you know that if you roll two dice of the same type and take the higher value, the averege value you will get is two thirds of the die's maximum value?
Follow me into this dark alley to learn more fun dice facts.
▪️Компанія SplashData, Inc. оприлюднила перелік найгірших паролів🔐2019.
▪️«123456» залишається найпопулярнішим паролем.
▪️telegram https://t.me/map_stat_dat
Look at the statistics
HAY BUNGO FANDOM, FEED ME STATISTICS PLEASE
Gimme them nerd statistics
Y la culpa no era mía, ni dónde estaba ni cómo vestía. El violador eres tú.
"And the fault isn't mine, where I was or how I dress. You are the rapist."
Those are the translated lyrics of the Latin feminist hymn originated in Chile.
The lyrics have been criticized by anti-feminists (specially in mexico) and so many women started tweeting about their experience with sexual assault (where they were and what they were wearing) accompanied by the lyrics and DataPopMX just released some statistics based on 2,832 tweets:
In 68% of the sexual assaults occurred between 4 and 6 years old, they wore pajamas and were in family home.
In 26% of the sexual assaults occurred between 4 and 6 years old, they wore children's clothes and were in family home.
In 87% of the sexual assaults occurred between 9 and 11 years old, they wore their school uniform and were in family home.
In 59% of the sexual assaults occurred between 14 and 16 years old, they wore shorts and were on the street.
In 76% of sexual assaults occurred between 19 and 21 years old, they wore jeans and were at a friend's place.
In 8% of sexual assaults occurred between 19 and 21 years old, they wore skirts and were in public transport.
Of the 2,832 tweets in total 31% (877) occurred between 4 and 6 years old.
