Struggle With Statistics? Your 'Fixed Mindset' Might Be To Blame (arstechnica.com)
A new study in Frontiers in Psychology examined why people struggle so much to solve statistical problems, particularly why we show a marked preference for complicated solutions over simpler, more intuitive ones. Chalk it up to our resistance to change. From a report: The study concluded that fixed mindsets are to blame: we tend to stick with the familiar methods we learned in school, blinding us to the existence of a simpler solution. Roughly 96 percent of the general population struggles with solving problems relating to statistics and probability. Yet being a well-informed citizen in the 21st century requires us to be able to engage competently with these kinds of tasks, even if we don't encounter them in a professional setting. "As soon as you pick up a newspaper, you're confronted with so many numbers and statistics that you need to interpret correctly," says co-author Patrick Weber, a graduate student in math education at the University of Regensburg in Germany. Most of us fall far short of the mark.
Part of the problem is the counterintuitive way in which such problems are typically presented. Meadows presented his evidence in the so-called "natural frequency format" (for example, 1 in 10 people), rather than in terms of a percentage (10 percent of the population). That was a smart decision, since 1-in-10 a more intuitive, jury-friendly approach. Recent studies have shown that performance rates on many statistical tasks increased from four percent to 24 percent when the problems were presented using the natural frequency format.
Part of the problem is the counterintuitive way in which such problems are typically presented. Meadows presented his evidence in the so-called "natural frequency format" (for example, 1 in 10 people), rather than in terms of a percentage (10 percent of the population). That was a smart decision, since 1-in-10 a more intuitive, jury-friendly approach. Recent studies have shown that performance rates on many statistical tasks increased from four percent to 24 percent when the problems were presented using the natural frequency format.
Part of the problem is the counterintuitive way in which such problems are typically presented. Meadows presented his evidence in the so-called "natural frequency format" (for example, 1 in 10 people), rather than in terms of a percentage (10 percent of the population). That was a smart decision, since 1-in-10 a more intuitive, jury-friendly approach. Recent studies have shown that performance rates on many statistical tasks increased from four percent to 24 percent when the problems were presented using the natural frequency format.
I've heard this argument before, and I just don't get it. "Percent" means per hundred, as the word is derived from the Latin "per centum," literally, "per hundred." It's a natural frequency format, just as much as saying "1 in 10 people." It's saying "10 per 100" people. What's so confusing?!?
Your fixed mindset has led you to ignore it. It will soon appear in the northern latitudes; but what causes it, and what is it?
For this reason, God sends them a powerful delusion(operation of wandering)(planet) so that they will believe the lie.
IPFS
Statistics is typically a course for students in social and political sciences, psychology, communications, economics etc...
These are in general not the students with a strong interest or background in mathematics.
In reality, statistics is one of the most easy parts of mathematics, and in my experience as a statistics lecturer the main reason why so many students struggle with it is that those students who get to take it often have an aversion of everything mathematical and have (with the exception of the economics students) no other mathematics classes in their curriculum.
This is a problem for a certain kind of ... people.
Those who are ideologistic instead of curious. Those who call everyone who changed his views because he learned something new a "flip-flopper" too. (And not just those who say whatever pleases the listener of the day.)
Those who are dumb enough that they don't know the constant stream of doubt that comes from constantly coming up with all the things that something could be wrong.
Which is, sadly, true for a much bigger part of the population than we'd like to admit.
But please don't act like it's a normal, human thing.
It's a thing of extreme stupidity. "Voter"-level stupidity. Opinionator-level stupidity. Believer-level stupidity. Triggered-passive-thinker-level stupidity.
It may be the norm where you live. It may even be the norm where I live. But unless we want to flop over, give up like losers, and act like the Idiocracy is a done deal, ... it's not what we should ever call normal.
Percent is and its cousins are fine, but "natural frequency" is anything but "natural" to me. I have to convert it to make sense of it.
Also "jury friendly"? Does "success" here mean to get a conviction?
Most ACs are not even worth the keystrokes to insult them. Be generically insulted by this and ignored otherwise.
the 21st century
As soon as you pick up a newspaper
These don't seem to go together at all.
OK. You know who you are. And so does President Trump--the pinkos, the beta males, the bull dykes, the sniveling femme boiz, the snowflakes, the amigos, and chocolate drops. He sees you. He tracks you. And he's coming for you. It is better that you flee the country and live out your life in a socialist paradise like Venezuela.
Make no mistake. President Trump is here, he chews up his enemies, and passes chunks of them in his stool. If you are his enemy, you may well be the next chunk in the porcelain bowl.
or did they also avoid using words with more that 5 letters? #MAGA!
...that homosexuals are upwards of 10 times more pederastous than straights.
"The proportions of heterosexual and homosexual pedophiles among sex offenders against children: an exploratory study" by Freund K. & Watson RJ., https://www.ncbi.nlm.nih.gov/pubmed/1556756
Abstract:
Previous investigations have indicated that the ratio of sex offenders against female children vs. offenders against male children is approximately 2:1, while the ratio of gynephiles to androphiles among the general population is approximately 20:1. The present study investigated whether the etiology of preferred partner sex among pedophiles is related to the etiology of preferred partner sex among males preferring adult partners. Using phallometric test sensitivities to calculate the proportion of true pedophiles among various groups of sex offenders against children, and taking into consideration previously reported mean numbers of victims per offender group, the ratio of heterosexual to homosexual pedophiles was calculated to be approximately 11:1. This suggests that the resulting proportion of true pedophiles among persons with a homosexual erotic development is greater than that in persons who develop heterosexually. This, of course, would not indicate that androphilic males have a greater propensity to offend against children.
2 veils.
0: elementary fractions + lie
1: lie.
0: The homosexual is notoriously bad at math & logic, so you speak elementary fractions and introduce an inconsistency. He won't get what the fractions say and will be satisfied with "This, of course, would not indicate that androphilic males have a greater propensity to offend against children" for, after all, it's the last sentence in the abstract even though the one just preceding it is "This suggests that the resulting proportion of true pedophiles among persons with a homosexual erotic development is greater than that in persons who develop heterosexually"... This veil will allow the paper to get past homosexual censorship.
1: The second veil serves the purpose of arousing the suspicion of the heterosexual who overcame the first veil. For, the present study, owing to "the ratio of gynephiles to androphiles among the general population is approximately 20:1" and "the ratio of heterosexual to homosexual pedophiles was calculated to be approximately 11:1", pretends that *the ratio of homosexual pedophiles to homosexuals is but twice that of heterosexual pedophiles to heterosexuals*.
Proof:
F: faggots
S: straights
S/F = 20/1 = 20
FP: faggot pederasts
SP: straight pederasts
FP/SP = 1/11
We want an x such that FP/F = x * SP/S
x = (FP/F)/(SP/S) = (FP/F)*(S/SP) = (FP/SP)*(S/F) = (1/11)*20 = 20/11 ~ 2
Thus FP/F ~ 2 * SP/S
QED.
But the previous study reports "just" twice as many girls stabbed as boys. This can only raise the attentive reader's eyebrow for we are told in that paper that there are 20 times as many straights as there are faggots.
Let us compare the faggots' voraciousness* for children with that of straights.
"Previous investigations have indicated that the ratio of sex offenders against female children vs. offenders against male children is approximately 2:1"
X: girls stabbed
Y: boys destroyed
Y/X = 1/2
We want an y such that Y/F = y * X/S
y = (Y/F)/(X/S) = (Y/F)*(S/X) = (Y/X)*(S/F) = (1/2)*20 = 10
Thus Y/F = 10 * X/S i.e., *the faggots are 10 times more pederastous than straights!*
This is alarming for a paper from 1992. How much worse is it now...
* I called it voraciousness for children of the respective classes. The harm caused against children isn't diminished, whether it be a recidivistic faggot or many faggots.
If you were to object that women may also be pedophiles...
"Pedophilia and heterosexuality vs. homosexuality" by Freund K., Heasman G., Racansky IG., Glancy G., https://www.ncbi.nlm.nih.gov/pubmed/6512871
Abstract:
In the context of a search for testable etiological theories of pedo
I've thought long and hard about this problem. After wrestling with it for a few years I'm ready to support a radical shift in public education.
Use the term "math" (or "maths", depending on your version of English) to refer to arithmatic, geometry, and algebra
"quantithinking classes".
Dump trigonometry and calculus from the curriculum. Replace with statistics, probability, design of experiments, and critical thinking. Call this new subject "quantitative thinking" (or whatever name you want) and give it equal billing as as language, math, science, literature, and physical education.
See subject & as to WHO that enemy is? Take an INFORMATIVE fact-backed READ here https://it.slashdot.org/commen... & be further enlightened (the thing a devil or germ can't stand is being EXPOSED TO THE SUNLIGHT OF TRUTH/FACT he cannot defeat via his "babylonian money-magic deceits").
APK
P.S.=> I agree w/ MUCH of what you say (except for "amigos" & 'chocolate drops' parts - some may be criminals & WHY is in the post prior to that one's conclusions (bad upbringing, no guidance, POSSIBLY shit character to start w/ though & ENVIRONMENT that breeds criminals)) & on THAT note?
Quote StarWars: "Once you start down the dark path it will FOREVER DOMINATE YOUR DESTINY" & that's an INDIVIDUAL thing... apk
Recent studies have shown that performance rates on many statistical tasks increased from four percent to 24 percent when the problems were presented using the natural frequency format.
Hmm, let me make that more intuitive and jury friendly for everyone: recent studies have shown that performance rates on many statistical tasks increased from 1 in 25 to about 1 in 4 when the problems were presented using the natural frequency format.
See subject: Many of the groups you point out are 'downtrodden' (many times due to their own doing - after all we cause 90% of our own problems in reality thru bad decisions or deceitful 'guidance') & EASY to recruit by those seeking power to use them for "strength in numbers" enmasse (gang mentality) but they're REALLY only cannon-fodder in the end - disposable assets NEVER INTENDED to be in the "upper echelons" etc. (just bullet-bags + sacrificial lambs (or should I say pigs instead by the viewpoint of their "masters" in the pyramid scheme who you NEVER SEE (they rely on that the MOST, hiding in the shadows "Wizard of OZ" pay no attention to the man behind the curtain style as cowards & weasels do)).
* ADDENDUM to my other post (good source in it) https://science.slashdot.org/c... DO READ IT!
(For your OWN sake & make your OWN determinations)
APK
P.S.=> It's a PITY they can't SEE IT FOR THEMSELVES though (but that's what the "devil" preys on the MOST - ignorance, he has ALL the cards & you don't so he runs the game & runs YOU into the GROUND (his goal))... apk
Article ignores presentation bias. Natural frequency format is oftwn a sign of cherry picking the sample that tells the desired story.
9 out of 10 people like the Cubs.
9 out of 10 [specific] people [we interviewed in Chicago] like the Cubs.
Being exposed to so much of this statistics, do sports fans use these in their real life? When they buy a car and they read a review, "10% chance of major repair in five years" do they think as often as "that kicker misses extra point"?
sed -e 's/Chuck Norris/Rajnikant/g' joke > fact
not by who casts the vote.
... since 1-in-10 a more intuitive, jury-friendly approach.
Which would be 1-in-12.
It must have been something you assimilated. . . .
Maybe:
1) People who can't understand statistics shouldn't be put in charge of important decisions (un-democratic, I know), or
2) Statistics education needs to be made mandatory to qualify as high school educated in this country.
Less than half of their "experiments" can be reproduced, so it's not science, it's opinions.
Their ignorance is to blame.
Pick up a newspaper and be inundated with: small sample sizes, biased sample selection, intentional elimination of contrary samples, samples fabricated from whole cloth, incorrect conclusions, bad controls handling, and about a million other sins against data accuracy.
There's just too much money available to researchers being paid to deliver desired results (i.e. want us to prove sugar is healthy? No problem!). Whether it be for politics, product/drug research, agribusiness, whatever. The incentive to cheat is way too large, and there's no counter-balancing incentive (of similar significance) against cheating. Don't believe ANYTHING you read - someone was paid to make you believe it.
If you can't figure out 10% is 1-in-10, you have no hope of wading through the standard level of obfuscation added to any publication when discussing statistics.
Giving away US treasury to the wealthiest corporations didn't create jobs, it enriched billionaires. The economy WAS in fact fixed by Obama, sorry retarded Republican trashmind traitor faggots. You don't matter, never did.
had to make some statistics about the collected data, I wonder if they had a fixed mindset...
See subject SOROS loser: Your side did what it ALWAYS does, lose - accept it (or can't you accept REALITY?)...
* Apparently not!
(ALL YOU DO is "HIDE" behind UNIDENTIFIABLE anonymous posts FURTHER making yourself out a FOOL you dimwitted little PAID OFF PUPPET thinking he can "fool" others with your BULLSHIT, lol!)
APK
P.S.=> Now hurry up & run back to your "masters" ROTHCHILD (for whom SOROS is even their "protege puppet") - crying "HELP ME MOMMY - I can't beat facts!" & NEITHER CAN THEY - they can only BUY UP NEWSCORP to feed the GOY CATTLE FAKE NEWS to mislead them https://www.infowars.com/trump... ? Good boy - now "SHOO" bitch!... apk
Comment removed based on user account deletion
The article mentions a Bayesian question that was used to evaluate peoples statistical ability:
"This involves giving subjects a base-rate statistic—say, the probably of a 40-year-old woman being diagnosed with breast cancer (1 percent)—along with a sensitivity element (a woman with breast cancer will get a positive result on her mammogram 80 percent of the time) and a false alarm rate (a woman without breast cancer still has a 9.6 percent chance of getting a positive result on her mammogram). So if a 40-year-old woman tests positive for breast cancer, what is the probability she actually has the disease (the "posterior" probability estimate)?"
They then give the answer as 5%, if (like me) you already did a rough calculation in your head and got "about 10%" you're not going mad. The actual answer is about 7.76%, so not that far off from the 10% you'd get with some heavy rounding.
Particularly with constantly-changing models which tell me that I need to change everything about how I live within X years or there's a Y% chance my quality of life will deteriorate rapidly. After X years pass I discover it was wrong; however "we have better computers and assumptions now" and "we can't take any chances" so I have X more years left.
As we're talking about statistics here, let call out any statement that was presented as a fact: "With 100% certainty, we report that the study concluded with that fixed mindsets are to blame with 100% certainty.... Roughly 96 percent of the general population (with 0% margin of error) struggles with solving problems relating to statistics and probability (with 100% certainty that our test problem is representative of most real problems). Yet being a well-informed citizen in the 21st century with requires us with 100% certainty to be able to engage competently with these kinds of tasks.... "As soon as you pick up a newspaper, with 100% certainty you're confronted with so many numbers and statistics that you need to interpret correctly," says co-author Patrick Weber, with 100% certainty a graduate student in math education at the University of Regensburg in Germany. With 100% certainty, most of us fall far short of the mark."
Okay, so you missed the first five minutes of the class where the concept of 'percent' is introduced in your grade six or grade seven math class.
Unintended consequence: dunderhead for life.
Bad five minutes to take two extra puffs after the recess bell rings.
Thereafter, it takes a SPECTACULAR level of blockheaded arrogance (I'm not going to learn, and you can't make me, but I sure can beat the living crap out of this giant 4x4) to sit in school for another five years, or ever read a newspaper, or ever watch a television news program, and never manage to fill in this small conceptual omission.
"As soon as you pick up a newspaper, you're confronted with so many numbers and statistics that you need to interpret correctly," says co-author Patrick Weber, a graduate student in math education at the University of Regensburg in Germany. Most of us fall far short of the mark.
Or maybe just acknowledge that the vast majority of humanity is just plain stupid, and that you are part of it...
Video of some good progressive thrash music
If you can't make the numbers dance like the Bistromathics drive on the Heart of Gold, you don't understand statistics.
10%. 9 to 1 against. 1 in 10. They all mean exactly the same thing. If you haven't grasped this yet, it's not because you have a "fixed mindset". It's because you don't understand statistics.
How is the Riemann zeta function like Trump rallies? Both have an endless number of trivial zeros.
I simply don't get the reasoning behind the drug addict example: I could easily do it in percentage, but I simply can't follow the arguments behind adding the numbers up using frequency. They have prepared the numbers to make it easy for the reader, but that is not the case in general, where you have to "prepare" the numbers yourself. Much easier to learn the general method with probability then.
Shouldn't that be from 1-in-25 to 1-in-4?
since 1-in-10 a more intuitive, jury-friendly approach
Only American media use "1-in-X", most of the rest of the world has no problem with using percentages.
The rest of us actually do know how to think critically and weigh options. Speak for yourselves, children, and then have the long talk with the parents that thought it was in your best interest to be this way. Then have a talk with yourself and realize you are not a robot and do not have to be a slave to programming of *any* kind. Your mind is yours to use as you like, so is your lazy-ass body.
Marketing, lobbying, politics.
"Roughly 96 percent of the general population struggles with solving problems relating to statistics and probability. "
What the hell does "struggles" mean. And who are these 4 percent who don't ever "struggle" to solve any problem relating to statistics and probability?
I suspect the reason "students" would choose to use the tools they were taught to use is that they have no idea what the statistics actually mean, they only know how to calculate the answer they are being asked for. If they had been asked to give the answer in natural terms, i.e. not 5% but 1 in 20, they may have been completely unable to figure it out.
With 100% certainty, we report that the study concluded
Because "might be why" when translated into a percentage is 100%, of course, ...
Roughly 96 percent of the general population (with 0% margin of error)
... and "roughly" translates into exactly with 0% margin of error, etc.
If that was meant to be a joke, it's missing a vital ingredient.
That's the kind of statement I don't understand. It's 25 out of 100,000 people.
Ohh!!! Is that what 0.025% means? I get it now! ... I think 0.25% is bigger than 0.025% right? So it's like 25 out one million people. ;p
... which is better?
I think that's enough to show that we need to normalize fractions into a common unit.
Lets use "ppm" for very low amount, and "percent" for higher quantities.
ID: the nose did not occur naturally, how would we wear glasses otherwise? (apologies to Voltaire)
to prove anything. 40% of all people know that.
I'm a mathematician.
The second someone digs out statistics, I can always pick 20 holes with their methodology used, presentation of, choice of, or analysis of their numbers. Usually, I could make things come out "oppositely" with only minor tweaking and use of the other statistics from the same dataset that they discarded out of hand, and usually I could provide much better justification for the numbers I used than the ones they did.
People use statistics to back up their claims. That's it. And if you go looking hard enough and present statistics to do that, you can ignore all the stuff that doesn't match your claims. It's really easy to do.
And because nobody understand statistics (I would posit this category even includes statisticians!), you can get away with it.
I like to shout at shampoo adverts when they say "Women agree*" where the * leads you to a footnote saying they tested 19 women and 67% of those agreed... so you're telling me that, actually, worldwide, 12.7 women agreed... What the hell kind of selection criteria did you use to get that, and what use is that if you don't specify that they were random women from the street in a controlled trial rather than, say, the people who work in the office?
The old saying is right - there are lies, damn lies and statistics. If someone quotes statistics are you, assume it's a lie. It almost always is. Even when it's not, it's merely the portion of the truth that can be spun positively if you don't mind looking through an n-dimensional kaleidoscope at the data.
And what are they trying to do by telling you this? They're trying to tell you "Hey, look, you're stupid and have no idea what's going on and actually everyone else is really onboard". Statistics are used as the worst kind of "peer pressure" - if they are trying to convince you of something, rather than inform you.
Statistics can be incredibly useful, very revealing, and can lead to a better understanding. If you get them from a professional. Who'll then tell you what the statistics *mean* and whether or not they have caveats.
If you get them from shampoo ads and random junk on the Internet, they are no better than any other "fact" spewed at you in such a manner... wrong.
(Interesting fact: There's a TV program called QI, in which all kinds of "you'll never believe" stuff is presented in what's supposed to be a highly intellectual quiz show. QI facts are heavily researched, almost always counter-intuitive or contrary to what everyone has been told, and they spend years with some of the cleverest people from the top universities doing research for each series. And in one episode they reveal that the portion of facts that they themselves got wrong, or which have changed since, was over 50%).
If someone quotes statistics at you, don't just nod and go "Oh really?" because you're then likely to repeat that statistic without every checking it. The correct response is to think "What's he trying to convince me of?". Because you don't use statistics for anything else.
And unless you understand, truly understand, statistics, you know that any kind of amateur data-gathering or analysis by even the most well-intentioned people is a bottomless pit of potential failure.
Hell, to be honest, 99% of the time, I can't even work out the right answer for some statistics so I make it up and say 99%.
It's nice to know I'm not alone, since I am one of the majority who "struggle" with statistics. I also struggle with the General Relativity text I'm reading (still struggling with tensors) and the Quantum Field Theory I'm also studying is challenging. Don't you think PhD statisticians also "struggle" with statistics? If they didn't, then would they (and their degrees) even be needed? I also struggle with English. This is compounded by the incompetence I observe in typical prose from journalists. For instance, what is the meaning in saying "110% effort" or in claiming r^2 values are a direct measures of correlation? Another example is a post which states that "people struggle so much to solve statistical problems" when what was meant was "when presented as a story problem, most people are unable to solve common everyday statistical problems". But that would require the writer to actually be able to articulate the actual point clearly.
Maybe it feels "natural" for a single reference, but for a comparison it is useless, unless the group is exactly the same. And if the group is 100 . . . . we're done here.