Ok, so, I've seen a lots of people spreading misinformation here on Tumblr dot com

… especially about science and statistics, and in light of that, here are 5 key points to think about when u are blogging on ur merry way:

(1) double check sources. if u see a shocking statistic or amazing discovering, it’s worth being a big skeptical and checking to see if the post lists where it came from. if it doesn’t, google the claim and see what comes up. this only takes about 5 seconds and can expose some common myths

(2) on the same theme, find out what the reputation of the book or website you’re looking at. this is one link that people might find useful:


for instance, some people have been perpetuating some fake information about PETA that has come from the Center For Consumer Freedom. Checking their website with the above link may give a clue as to why it’s not reliable:


(3) remember statistics can get really, really complicated and that wording is important! there is a difference between ‘x number of people die of’ and ‘the lives of x number of people end in’ - try to find out where people are getting their numbers, how much they’ve changed the original wording, and keep an open mind!

(4) don’t just go by headlines / reblog based on the headline only - headlines are meant to make radical statements and grab your attention and sometimes can be quite different to what’s actually happened when you read the whole story

(5) remember this is a microblogging website, where people will try to sum things up in short / sharp posts, and, just like article headlines, it’s worth taking things with a pinch of salt when you read them! skim for facts like dates and organisations, rather than vague information like ‘they treated them poorly’

personal experience is a very important and valid part of social justice and politics, and it doesn’t need facts and figures to back it up. however, if you ARE debating using statistics and things that you want to prove as scientifically true, using misinformation will only weaken your argument and give your opponent the chance to ‘expose’ you and invalidate other things you have to say, so it’s worth baring the above in mind

As I am sure no one is at all surprised, White men are 6 times more likely to be guilty of criminal stalking than all other racial groups combined. 

The perpetrators, also unsurprisingly, are overwhelmingly married, and overwhelmingly earn more than the national average.

(ETA: I think I’m reading this chart correctly… I started here and followed the links into the PDF. Maybe check it? I do NOT want to spread bad facts.)

(ETA2: Assuming Table 2 IS about the perpetrators, which based on that second link’s label, it IS, my point that editing out White harassment when the woman who made the street harassment video was White, or White passing, is a gross misrepresentation of the race-related elements of situation. And in terms of hard numbers, there are definitely 6 times more White people in those charts. So there.)

At the Far Ends of a New Universal Law
A potent theory has emerged explaining a mysterious statistical law that arises throughout physics and mathematics.
Imagine an archipelago where each island hosts a single tortoise species and all the islands are connected — say by rafts of flotsam. As the tortoises interact by dipping into one another’s food supplies, their populations fluctuate. In 1972, the biologist Robert May devised a simple mathematical model that worked much like the archipelago. He wanted to figure out whether a complex ecosystem can ever be stable or whether interactions between species inevitably lead some to wipe out others. By indexing chance interactions between species as random numbers in a matrix, he calculated the critical “interaction strength” — a measure of the number of flotsam rafts, for example — needed to destabilize the ecosystem. Below this critical point, all species maintained steady populations. Above it, the populations shot toward zero or infinity. Little did May know, the tipping point he discovered was one of the first glimpses of a curiously pervasive statistical law. The law appeared in full form two decades later, when the mathematicians Craig Tracy and Harold Widom proved that the critical point in the kind of model May used was the peak of a statistical distribution. Then, in 1999, Jinho Baik, Percy Deift and Kurt Johansson discovered that the same statistical distribution also describes variations in sequences of shuffled integers — a completely unrelated mathematical abstraction. Soon the distribution appeared in models of the wriggling perimeter of a bacterial colony and other kinds of random growth. Before long, it was showing up all over physics and mathematics. “The big question was why,” said Satya Majumdar, a statistical physicist at the University of Paris-Sud. “Why does it pop up everywhere?”

keep on reading..

(via Beyond the Bell Curve, a New Universal Law | Quanta Magazine)

Thanks for the guess, Alfred Kinsey, but…

6 Outdated Myths Everyone Still Believes About Homosexuality

#6. Myth: We Know How Many Gay People There Are

Nobody has any clue. That 10 percent figure [estimated by Kinsey] might actually be as low as 2 percent, or as high as 20 percent. Polls keep being conducted, and the only thing they’ve determined so far is we have no fucking idea. The problem is obvious — we’re relying on surveys in an era when it’s still not OK to be gay in huge swaths of America, let alone the rest of the world (for example, if we went purely by self-reporting, there has been only one gay player in the 94 years the NFL has existed). So in those surveys, gays could hide their sexual orientation, refuse to answer the question, or simply not know the answer themselves yet — it’s not like it’s a binary question (as Kinsey himself could have told you).

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Currently at school I am doing an English essay

"Things I have a strong opinion on"

I have chosen to do mine on Mental Health in school. I need some statistics to back me up so if you all could help me out a bit I would like that alot :)

Reblog if you think school is extremely stressful and tiring and that schools do not take mental health seriously.