Shared posts

09 Aug 10:42

Pobrezinhos dos caras na Friendzone.

Mahayana

Pergunta séria: pq isso se encaixa na linha editorial do #CMS?



Pobrezinhos dos caras na Friendzone.

06 Aug 00:46

centaragrandisland: All the dates of when she beat cancer.

by joberholtzer


centaragrandisland:

All the dates of when she beat cancer.

26 Jul 13:36

laughingsquid: What Happens Online in 60 Seconds in 2013

by joberholtzer
22 Jul 14:08

Defensive political science responds defensively to an attack on social science

by Andrew Gelman

Nicholas Christakis, a medical scientist perhaps best known for his controversial claim (see also here), based on joint work with James Fowler, that obesity is contagious, writes:

The social sciences have stagnated. They offer essentially the same set of academic departments and disciplines that they have for nearly 100 years: sociology, economics, anthropology, psychology and political science. This is not only boring but also counterproductive, constraining engagement with the scientific cutting edge and stifling the creation of new and useful knowledge. . . .

I’m not suggesting that social scientists stop teaching and investigating classic topics like monopoly power, racial profiling and health inequality. But everyone knows that monopoly power is bad for markets, that people are racially biased and that illness is unequally distributed by social class. There are diminishing returns from the continuing study of many such topics. And repeatedly observing these phenomena does not help us fix them.

I have just a couple comments here. I’m no economist so I can let others discuss the bit about “monopoly power is bad for markets.” I assume that the study by economists of monopoly power is a bit more sophisticated than that!

I have studied racial profiling, and I can assure you that this work is not about the claim “that people are racially biased.” I can also assure you that, whatever it is we have learned, it’s not true that “everyone knows” it.

As Duncan Watts has written so memorably, it’s easy to say that everything is obvious (once you know the answer).

Regarding the question of illness being distributed by social class: Is it really true that “everybody knows,” for example, that Finland has higher suicide rates than Sweden, or that foreign-born Latinos have lower rates of psychiatric disorders. These findings are based on public data so everybody should know them, but in any case the goal of social science is not (just) to educate people on what should be known to them, but also to understand why. Why why why. And also to model the effects of potential interventions.

The study of the contagion of obesity is just fine. In fact, I was once part of an NIH panel where where we recommended funding some of this research. But to say that this is the real stuff, and then to dismiss studies of monopoly power, racial attitudes, and variation in disease rates—that’s just silly.

Resources are limited, and I think it’s good to have open discussion about scientific priorities. So I applaud Christakis for sticking out his neck to participate in this debate. Even though I don’t agree with his particular recommendations.

21 Jul 15:46

A Softer World

20 Jul 00:23

Funkeiro = bandido

Mahayana

"tem mensagens machistas, feministas e..." MAS PERA COMO ASSIM?!



Funkeiro = bandido

17 Jul 17:10

Boys play with toy sailboats along the Nile south of Aswan,...



Boys play with toy sailboats along the Nile south of Aswan, Egypt, October 1963.Photograph by Georg Gerster, National Geographic

14 Jul 01:35

Visualizing the Bechdel test

popular shared this story from Ten Chocolate Sundaes.

to my sister, to my brother and to my friend Ber

Introduction

Bechdel test was enunciated by Alison Bechdel on the comic Dykes to Watch Out For in 1985. For a movie to pass the test, it must meet the following prerequisites:
  1. It has to have at least two women in it,
  2. who talk to each other,
  3. about something besides a man.
The most widely used form of the test today added the necessity of the two female characters to have names. The test has the characteristic of being simple, so easy to apply, and not requiring much for a movie to succeed. However, one of it's limitations is that the application of the test on a single movie is debatable, since there can be many artistic choices that end up making the movie not pass the test (for example, Run Lola Run doesn't  have two female characters who talk to each other). Thus, its application is more interesting when applied to a set of films, since it may reveal patterns of how women are represented consistently in this particular set. The graphs present here subdivide the films into groups according to variables available on various sites, to try to find how each category affects the way females characters are represented.
I have little academic knowledge in film or in sociology, so I'll try to avoid comments that are not about the graphics.
The Bechdel rates are from bechdeltest.com. I removed movies where more than 50% of users who commented on it disagreed about the classification. The site classifies films according to each prerequisites of the test. Here, I grouped the films based only on whether they pass the test or not. I did it for clarity.


Click on the charts to enlarge them.

The charts

Years

Despite the fact that <a href="http://bechdeltest.com" rel="nofollow">bechdeltest.com</a> provide data about the movies' year, I used data from imdb.com, as I rely more on them in this regard.
The graph below shows  the proportion of film that succeed on the Bechdel test across  the years. 


The visualization of variations seems compromised, due to the fact that there are  some years with very few films analyzed,  as can be seen in the plot of movie analyzed on <a href="http://bechdeltest.com" rel="nofollow">bechdeltest.com</a> by year:
 To try to circumvent this problem, I used the lowess function in R,that applies a locally-weighted polynomial regression. This regression has its smoothness related to the parameter f, which, according to the maintainer's description, is:
The smoother span. This gives the proportion of points in the plot which influence the smooth at each value. Larger values ​​give more smoothness.
Below is a gif that shows how the change on the parameter f  from 0 to 1 influences the graph.

I wanted to show how the parameter affects the graph, making clear the bias that the method may be having in this case.  Bellow is the chart with f = 2/3, the default value for the function. 
The actual measures on each year here don't represent the data as in the first graphic, what is important now is the trend. So, it seems  that there was, at the beginning of the last century, a rapid insertion of female characters, this increase stabilized in the 1930s. Another  tendency in this direction seems to have happened between the 1960s-80s. 

Movie Genre 

The genres of each movie were  obtained from <a href="http://imdb.com" rel="nofollow">imdb.com</a>, where each movie can have multiples genres.  Only genres present in more than 50 films are shown.

There are several discussions on whether or not documentaries should be evaluated according to the parameter of the Bechdel test. I am of the opinion that they should not, but I didn't put too much thought into it, and, as I've said before, I m not a expert on the subject. So, I decided to leave them here.

Directors and writers

These chart represented writers and directors with more than five films evaluated. As these professionals often end up specializing in certain genres, these were added in the graph for comparison. There were too many directors and writers, and this would make the chart too long and boring, so I selected those that I consider to be the most famous to display in these charts. Also, I didn't repeat the ones in the directors chart in the  writers chart. Some famous directors,  like Akira Kurosawa, James Cameron and M. Night Shyamalan did not have five movies analysed as directors, but did as writers. The directors and writers were  obtained from <a href="http://imdb.com" rel="nofollow">imdb.com</a>. When a movie is based on a book, IMDB  gives credit to the book's author, that's why many of them appear in the writers graph.  

Directors

Writers

Directors, writers and producers by gender

These charts are divided by the gender of professionals working in different stages of film production. How the gender was assigned is described at the end of the post.

Countries

Proportion of Bechdel test classes  according to the country of origin of the film. This information was  obtained from <a href="http://imdb.com" rel="nofollow">imdb.com</a>. Only countries with more than 15 movies where included.
The first time I heard of the Bechdel test was while talking  the Academy Award for Best Picture. So I wanted to compare this award against others. I chose the ones that I believe are the most important. I have included the movies nominated for the best picture in each award (Palme d'Or at Cannes, Golden Bear in Berlin, Golden Lion at Venice and the Academy Award for Best Picture). The information on the awards come from <a href="http://imdb.com" rel="nofollow">imdb.com</a>.

What we talk about when we talk about Bechdel test

During the process of production of these charts, I have wondered if the Bechdel test was actually measuring what it intended. That is, if it really captured groups of movies where women were underrepresented, and, when they appeared, had their role around men. 
To try to answer this question, I researched, in the movie scripts present in imsdb.com

 and in 

script-o-rama.com

,

the number of words spoken by men and women and the proportion of times that men refer to women and vice versa (how often does a genre talk about the other). I colored the points in the graphs according to the Bechdel test, and thus expected films where women talk as much or more than men and/or movies where men refer more to women than women to men would, mostly, pass the test. I removed the outliers from the chart to make the range easier to visualize. As this chart can be tricky to understand, I did this scheme below to demonstrate what each square represents. 

Below the result, I added a violin plot on each axis to help to visualize the distribution of the variables.


Before talk about the colors, I want to address the vertical dispersion of the graph. I was surprised to see that women talk so much less than men in movies. I thought this might show a bias in the movies chosen to be analyzed in <a href="http://bechdeltest.com" rel="nofollow">bechdeltest.com</a>. To see if this was the case, I did the same graph for all scripts present in <a href="http://imsdb.com" rel="nofollow">imsdb.com</a> and in <a href="http://script-o-rama.com" rel="nofollow">script-o-rama.com</a>, irregardless if the movie was analyzed in <a href="http://bechdeltest.com" rel="nofollow">bechdeltest.com</a>. And the result was:
So, it does not appear that <a href="http://bechdeltest.com" rel="nofollow">bechdeltest.com</a> has some bias on this variable.
Now, about the distribution of the Bechdel test in the chart, at first, it seemed to me that the test was capturing what it proposes, since the blue dots are seemingly more likely than others to be on the center or down and to the left. Thus, movies where women are represented or referenced at least as much as men are passing the test.  However, there is a positive correlation between the two variables:
I speculated that this must be due to the fact that secondary characters generally refer to the main characters. Thus, women have fewer lines, which shows that they are mostly secondary characters, that makes them refer more to men, that are usually the main character. If this reasoning is true, the chart is showing that the Bechdel test, when discriminating to one variable, also discriminates for the other. But, maybe referring to the main character is not something that just secondary female characters do, but also secondary male characters. So I tried to develop a way to see if the test was also able to display films in which women are more focused on men than other male characters.  
 To try to address this issue, I made another chart, where I compare if female characters  refer more to men than male character to men.  
Here is the scheme of what this graph is representing:



And here the chart. 

Here, the right hand side of the chart is where women are talking more about men than men about men. In other words, the females characters more frequently makes refering to males than male characters. My hope is that this is a good way to judge whether women are represented by characters more focused on a man than would be expected.  Looking at the violin plots at the top, it seems  that the Bechdel test didn't 

discriminate this feature in the movies. So, it seems that the test is a good way to measure if female characters are having the same voice as the male character, but not so much to measure what this voice is saying.

To finish, here is the same chart as above, but for all scripts.


Bechdel test aside, it seems clear from these graphs' Y axis that women are alarmingly less represented than men in movies. 

Where does the data come from?

Classification of films according to the Bechdel test

The classification of the films was obtained in bechdeltes.com site. In it, anyone can enter information about a movie and classify it accordingly. Usually, those who put the data also insert a comment saying why. Every movie has a discussion on the classification. When posting a comment on this conversation, the user can click that she/he has disagreed with the classification or can simply comment. Seeing some of these pages, I realized that most users that do not click on the disagreed box, agreed with the classification. Thus I made a filter where I only accepted films where more than 50% of users who commented do not disagree with the classification. Note that 50% do not refer to the amount of comments, but 50% of users who commented (one user can comment more than once). Some films had more than one entry. In such cases, if the classification of these were different I removed the film, if both inputs have the same classification I considered the sum of the comments to apply the filter mentioned above.

Year, country, gender, directors, writers, producers and awards of films

Information of the production of the films were obtained from imdb.com. Here is a discussion of APIs available to obtain this type of information. Some APIs have the problem that, when there are more than three directors or screenwriters for a film, they do not return at all. In these cases, it was necessary to search the IMDB site manually. I have found no API that provides information on movie awards, so, for this information, it was also necessary to manually search the site.

Gender of directors, screenwriters and producers

The gender of the people involved in the films were assessed in different ways. 

  1. First, I check whether the page of the person on IMDB contained if she/he was an actress or actor, which would deliver the genre, since the word is gender specific.
  2. If there were no such information,  the number of gender-specific pronouns (she/he, her/he, herself/himself) present in the trivia and biography of the person was counted. The gender with the most pronouns was linked to the person.
  3. If there was a draw in the count or the person did not have these fields on her/his page, the first name was matched against the table of first name and gender present in genderchecker.com. I found this list conservative, ie. when a first name has a reasonable proportion of both genders it returns "unknown". That is, it avoids false positives.

If it was impossible to get the gender by theses methods the gender was assigned "unknown" and has not been used in graphics which involve that variable.

Information on the scripts for the films

To be able to assess what the Bechdel test was capturing, I made ​​some graphs with data of the screenplays of films. The screenplays were available from the websites imsdb.com and script-o-rama.com. I developed a R script to read these screenplays and to couple each line to a character. These character names were matched with the names of the characters on the page of the movie on IMDB. From the method stated above, it was possible to return the gender of actors and actresses who play each character. Thus, it was possible to couple each line to a gender. The R script is not perfect, mainly because some scripts presented in these sites are not well formatted. So, I applied some quality filters: The screenplays accepted were the ones that my R script could capture:
  1. At least 500 lines linked to characters.
  2. At least five characters.
  3. At least 50 lines linked to each gender.

Theses quality controls aim to avoid screenplays that the R scripts did not get right in ways that could compromise the charts. The necessity for minimal number of lines is to be sure that the R script got a good part of the screenplay.  The filter on characters number is to avoid screenplay where  very few characters have been identified, what would make the ones that were identified over represented. And the minimal number of lines linked to each gender is to avoid cases where to R script identified only marginal characters of a gender. 

The R scripts used

All graphics and the data extraction were performed using R. I uploaded the working directory here.  The codes  are not fully annotated and the directories  still a little messy. At the moment, I do not have the time, but as soon as possible, I will try to organize them. In this directory, there is also some scripts to deal with the financial information from the-numbers.com and score information from rottentomatoes.com that I didn't show here, because I didn't find it very interesting. 

Table

I made a table with the movie informations here. This table is after removal of the movies where more than 50% of users who commented  disagreed with the <a href="http://bechdeltest.com" rel="nofollow">bechdeltest.com</a> classification.

Final consideration

This is my first attempt at doing graphics on a subject that has no relation to my work (and in a foreign language to me), so any criticism (about the design, data or grammar) is very welcome.

Edit 07/05/2013 : I corrected the title of the X axis of bar charts. They were named as "percetage".

14 Jul 01:28

Photo



10 Jul 23:15

Eu, profunda conhecedora da língua culta tento ensinar mas esses...

Mahayana

"o vírus do ipiranga" é a melhor interpretação do hino que já vi.

Eu aprendi a cantar o hino de porto ferreira na escola qdo era criança. Até hoje canto "otroraentrevergéiscondescondida" sem ter a mínima ideia de como é a versão original.



Eu, profunda conhecedora da língua culta tento ensinar mas esses bananenses não aprendem de jeito nenhum…

10 Jul 16:14

Hooked on pot

by Victor Mair

Carl Masthay sent me the following photograph of a tattoo consisting of four large Chinese characters:

Viewed thus, the characters are unreadable. When flipped as in a mirror, they look like this:

The characters are dàmá chénnì 大麻沉溺 ("addicted to marijuana").

Florian Simala astutely observes:

It looks like a button-down watch pocket on top of the right side pocket of the jeans is where it should be. The tag on the back reads correctly, "1 XG denim", so the tattoo must be backwards.

This means that the reversal of the tattoo is not due to inversion of the entire photograph but to the work of the tattooer. When flipped (as in the second photograph above), the writing on the pants is reversed.

The same thing (mirror reversal of characters) happened in this ad put out by the Massachusetts Office of Travel and Tourism: "Massachusetts is red(-faced)".

One more reason not to get a Chinese tattoo, especially not when you're high on your favorite addiction, and not unless you're 100% certain that the tattoo says something that won't embarrass you ten or twenty years from now. (Lots of negatives there, but I hope that the sentence still makes sense.)

10 Jul 16:13

Lulas Estufadas com Ervilhas, Tomate e Coentros

by colher-de-pau
Mahayana

MUTO BOM AgORA QUero ver UMA RECEITA DE LULLA ENCHARCADA NA CACHAÇA

O meu frigorífico morreu. Foi-se com o calor, deixou de arrefecer e, pior dos piores, não tem arranjo possível…Portanto a solução passou por comprar outro. Tira de um põe no outro e ainda havia jantar para fazer.
Um refogado simples, umas ervilhas, ervas aromáticas e lulas. Rapidamente se preparou o jantar, se organizou o novo frigorífico e eu, ainda mais rapidamente me cansei, que esta barriga, mesmo para tarefas simples já pesa, e o que antes de fazia de “pé ligeiro” agora demora e cansa um pouco mais….

Ingredientes para 2 pessoas:

400g de lulas descongeladas
1 cebola pequena
1 colher de sobremesa de mostarda
2 dentes de alho
2 tomates maduros e pequenos
200g de ervilhas congeladas
1 raminho de coentros
50ml de vinho branco
Sal e pimenta q.b.
1 malagueta seca ou piri-piri moído
Azeite q.b.

Preparação:

Pique a cebola e os dentes de alho e leve-os a refogar, num tacho, com um pouco de azeite. Acrescente a mostarda, deixe refogar mais um pouco e junte as lulas partidas em argolas. Envolva bem no refogado, acrescente metade dos coentros, as ervilhas, o tomate partido em cubos e tempere com sal, pimenta e a malagueta. Deixe levantar fervura e acrescente o vinho branco. Deixe cozinhar em lume brando até as lulas estarem macias.
Acompanhe com arroz branco.

Bom Apetite!
10 Jul 01:16

Almoço grátis

by noreply@blogger.com (Dani Gamerman)


Não existe algo como almoço grátis é uma expressão muito comum, especialmente entre economistas após ser popularizada por Milton Friedman, Prêmio Nobel de Economia. Ela remete à idéia de que não há como ganhar algo sem pagar em troca de alguma maneira. Uma outra expressão interessante, contendo idéia similar, é: "se você não está pagando por um produto, você não é o consumidor; é o produto". Essa frase é mais recente, atribuída a Andrew Lewis. Em seu twitter @andlewis, ele assume a autoria mas humildemente supõe que alguém já a tivesse imaginado antes. Em resumo, o fundamento dessas idéias é que nada vem grátis na vida. 

Essas noções são importante para lidar com várias situações na vida. Um exemplo interessante, ligado ao tema deste blog, é um esquema de previsões perfeitas. Para contextualizar, suponha que voce recebe um email de um desconhecido mas o assunto Previsão perfeita o atrai e você abre o email. Nesse email, o remetente te informa que um determinado ativo financeiro irá valorizar no dia seguinte. O dia seguinte chega e o ativo efetivamente se valorizou. Você não dá muita importância ao fato; afinal, se ele o remetente estiver chutando, ele tem 50% de chances de acertar. Passa uma semana e você recebe um novo email desse mesmo remetente. Novamente, ele afirma que um determinado ativo vai se valorizar no dia seguinte e ele se valoriza. Você ainda permanece cético. Afinal, as chances de ele acertar 2 previsões por pura adivinhação seriam de 25%, pois teríamos 4 possibilidades com as mesmas chances. Passada mais uma semana, você recebe outra previsão certeira e isso se reptete por 7 semanas consecutivas. Na 8a semana, o mesmo remetente manda novamente um email. Só que agora ele se dispõe a divulgar sua previsão apenas após o pagamento de uma taxa de R$100. Você faz as contas e verifica que, se ele apenas adivinhou, as chances de acertar seriam de 1/27, isto é, menos de 1%! O que você deve fazer?

Vamos agora olhar para a situação sob o ponto de vista do remetente. Imagine que ele dispõe de uma mala direta com 1280 (=10 x 27) endereços de emails. Na 1a etapa, ele manda 2 emails: o 1o diz que um ativo vai valorizar e o 2o email diz o contrário. Esses emails são repartidos em partes iguais para sua mala direta. Ele então descarta os 640 destinatários que receberam a previsão errada, ficando apenas com os 640 que receberam a previsão correta (metade da mala direta original), e repete na 2a semana o procedimento da 1a semana apenas para aqueles esses 640 destinatários. Apenas 320 destinatários recebem a previsão correta e novamente e os outros 320 são descartados. Se ele repete o mesmo procedimento por 7 semanas, na 8a semana restarão em sua lista apenas 10 destinatários com todas as 7 previsões corretas. Se 5 desses destinatários aceitarem pagar a taxa, ele recebe R$500 sem nenhum esforço. E não tem nada de perfeito nas suas previsões. 

Esse esquema pode ser alterado em diversas direções mas o ponto básico é que a previsão não tem nada de especial, muito menos de perfeita. Se você pagar a taxa, tem grandes chances de perder seu dinheiro embora possa parecer que não. Em suma, sempre que você receber uma oferta milagrosa, investigue. As maiores chances são do milagre ser a rapidez com que você irá perder dinheiro.

  

09 Jul 21:14

Visualize Your Life Via Your Email Pictured here: One section of...

by joberholtzer
Mahayana

Fiquei com medo de logar no meu gmail pra fazer a análise.



Visualize Your Life Via Your Email

Pictured here: One section of the last year of my life. Amazing.

08 Jul 13:48

Pobres homens subjugados ao arbítrio da mulher dominadora, só no...

Mahayana

"só mesmo no Brasil que o mais fraco subjuga o mais forte"

pq o ideal mesmo é o homem, mais forte, descer porrada na mulher se ela merecer!



Pobres homens subjugados ao arbítrio da mulher dominadora, só no Bananão ultrafeminista!

06 Jul 02:20

Before Sunrise (1995), dir. by Richard Linklater

Mahayana

Como o Ethan embarangou, né?

(cena na cabine de música nesse filme = melhor cena)









Before Sunrise (1995), dir. by Richard Linklater

05 Jul 23:44

miss.



miss.

04 Jul 11:23

withlovefromryan: Wooden Charts! | For when you miss someone. 

by joberholtzer




withlovefromryan:

Wooden Charts! | For when you miss someone. 

02 Jul 11:18

Snowden's United States: singular or plural?

by Ben Zimmer

Today Wikileaks posted a statement from Edward Snowden, time-stamped Monday July 1, 21:40 UTC. As originally posted, the first sentence of the fourth paragraph reads as follows:

For decades the United States of America have been one of the strongest defenders of the human right to seek asylum.

Screenshot (click to embiggen):

But mysteriously, at around 22:30 UTC (6:30 pm Eastern Time), the sentence was edited to read:

For decades the United States of America has been one of the strongest defenders of the human right to seek asylum.

Screenshot:


Shortly before the edit was made, Slate's Farhad Manjoo had drawn attention to the peculiarity of an American using a plural verb ("have been") with "the United States of America" as the subject, tweeting:

Did Edward Snowden really write this? No American would use plural verbs for America — the United States "have been" http://t.co/gxEBBtBoj2

— Farhad Manjoo (@fmanjoo) July 1, 2013

So what's going on? Has there been some sort of editorial mischief? If Snowden wrote the original, did he simply err in his verb choice, and an unseen hand made the change after Manjoo or others drew attention to it on social media? It's hard to know what's going on in the shadow world of Snowden and Wikileaks right now. But Manjoo is right that the original verb choice is distinctly unidiomatic for a native speaker of American English, and has been for the past century.

For more on how "the United States are" gave way to "the United States is," see my 2009 Word Routes column "The United States Is… Or Are?," which followed on my 2005 Language Log post, "Life in these, uh, this United States." Mark Liberman has also posted on the topic here and here. And finally, I give the shift from plural to singular "United States" as an example of what can be investigated on the new and improved Google Ngram Viewer in this article for the Atlantic.


Google Ngram search

01 Jul 18:07

Carta aberta a uma estudante que perdeu a vaga por causa das cotas

by Alex Castro

A estudante branca norte-americana Abigail Fisher não foi aceita na Universidade do Texas e entrou na justiça contra a instituição, alegando ter perdido a vaga por causa do sistema de cotas raciais. O caso foi subindo de corte em corte até chegar à Suprema Corte, que acabou de mandar o caso de volta para as cortes inferiores, se recusando a julgá-lo. Água ainda vai correr debaixo dessa ponte.

Enquanto isso, Krystie Yandoli, escritora residente nos Estados Unidos, também branca, estagiária do site Huffington Post e colaboradora do Jezebel e do The Nation, escreveu a seguinte carta aberta à Abigail Fisher:

Abigail Fisher, descendo os degraus da Suprema Corte.

Abigail Fisher, descendo os degraus da Suprema Corte.

* * *

Prezada Abigail Fisher,

Cá entre nós, duas brancas de 23 anos que não foram aceitam pelas universidades que mais desejavam, preciso lhe dizer: acho que você levou essa história toda longe demais.

Depois de transformar seu fracasso em entrar na universidade em um processo que nem mesmo a Suprema Corte dos Estados Unidos conseguiu resolver, sua invencível convicção em uma noção distorcida de “justiça” é preocupante.

Estou falando como alguém que esteve em uma situação similar à sua, mas, se nós estivéssemos em um poema de Robert Frost, iríamos acabar em caminhos muito diferentes.

Deixe-me explicar.

Temos algumas coisas em comum. Também não fui aceita na universidade que eu mais queria. Mas, logo depois, também pude cursar outra universidade prestigiosa que me proporcionou uma ampla rede de oportunidades à minha escolha. Assim como você, que mesmo não tendo sido aceita pela Universidade do Texas, conseguiu entrar em outra boa universidade e conseguiu até um bem pago trabalho de analista financeira depois de se formar.

Veja, existe uma coisa chamada privilégio branco. Você tem. Eu tenho. Nossos pais têm. E isso reduz consideravelmente a probabilidade de passarmos por qualquer tipo de discriminação ou desigualdade profunda.

Privilégio branco significa que você, graças a normas sociais culturalmente arraigadas, possui uma vantagem automática sobre várias outras pessoas. Significa que existem hierarquias e sistemas agindo explicitamente para garantir o seu sucesso no mundo. Privilégio branco significa que, se você não não conseguir entrar na sua “universidade dos sonhos”, você ainda poderá se formar em outra universidade e ainda assim conseguir um emprego acima da média, mesmo em uma economia sucateada.

Também significa que, uma vez na universidade, você não será vítima frequente de nenhum tipo de racismo, seja ele óbvio ou sutil.

A meritocracia do Brasil, em uma charge.

A meritocracia do Brasil, em uma charge.

Não ser aceita pela universidade que você sonha em cursar é horrível. Mas sabe como isso se chama? Vida. Mas sabe o que horrível mesmo? A complexidade do racismo sistêmico que atormenta os Estados Unidos desde que ele existe. Assim como também é horrível ser discriminado à primeira vista somente porque nasceu pertencente a uma raça de seres humanos que foi, desde sempre, historicamente ferrada e desfavorecida.

O mais engraçado é você conseguiu convencer alguns juízes da Suprema Corte a levar tão a sério suas reclamações tão problemáticas e tão banais, e que advogados, políticos, jornalistas, ativistas e cidadãos gastaram o seu precioso tempo debatendo e refletindo sobre ação afirmativa, e tudo porque uma estudante que se formou no ensino médio com nota 8.0 não foi aceita em uma das mais competitivas e prestigiadas universidades públicas da nação.

Sem contar que o seu nome será para sempre sinônimo de tentativa de retrocesso contra a igualdade social. Mas vou além.

Essa coisa toda é maior do que você e eu. Não é apenas sobre esse caso isolado ou sobre o que uma pessoa (sem razões ou méritos legítimos) acha que merece em detrimento de outros estudantes. Na verdade, não existe isso de casos isolados. Tudo existe dentro de um contexto e, contextualmente falando, você não ter sido aceita pela Universidade do Texas não foi um caso de desigualdade.

Peggy McIntosh, em seu famoso ensaio, “White Privilege: Unpacking the Invisible Knapsack” (ou seja, “Privilégio Branco: abrindo a mochila invisível”, talvez você queira procurar no Google), escreveu:

“Para mim, o privilégio branco se mostrou um assunto fugidio e impreciso. A pressão para ignorá-lo é enorme. Encará-lo de frente significa abandonar o mito da meritocracia. Se essas coisas forem verdade, então não vivemos em um país livre; então, a vida de um indivíduo não depende de suas ações; então, muitas portas se abrem para algumas pessoas por nenhum mérito da parte delas.”

Minha sincera esperança é que um dia você entenda e aceite a realidade de seu privilégio branco e de sua posição social. Até lá, tente refletir sobre as palavras sábias de Peggy McIntosh.

Tudo o tenho consegui com o esforço dos meus pais!

Tudo o tenho consegui com o esforço dos meus pais!

* * *

Tradução de Jorge Buratti.

O artigo original: An Open Letter to Affirmative Action Reject Abigail Fisher.

Mais sobre as cotas: O Peso da História: A Escravidão e as Cotas.

Escravidão, essa pica é nossa: Senzalas & Campos de Concentração.

Dois links sobre o desempenho superior dos cotistas: “Desempenho do cotista é superior ao do não-cotista”Alunos cotistas têm desempenho superior a não-cotistas.

Por fim, uma indispensável matéria de capa da Isto É: Por que as cotas raciais deram certo no Brasil



30 Jun 19:18

The Japanese Response to Terrorism

by schneier

Lessons from Japan's response to Aum Shinrikyo:

Yet what's as remarkable as Aum's potential for mayhem is how little of it, on balance, they actually caused. Don't misunderstand me: Aum's crimes were horrific, not merely the terrible subway gassing but their long history of murder, intimidation, extortion, fraud, and exploitation. What they did was unforgivable, and the human cost, devastating. But at no point did Aum Shinrikyo represent an existential threat to Japan or its people. The death toll of Aum was several dozen; again, a terrible human cost, but not an existential threat. At no time was the territorial integrity of Japan threatened. At no time was the operational integrity of the Japanese government threatened. At no time was the day-to-day operation of the Japanese economy meaningfully threatened. The threat to the average Japanese citizen was effectively nil.

Just as important was what the Japanese government and people did not do. They didn't panic. They didn't make sweeping changes to their way of life. They didn't implement a vast system of domestic surveillance. They didn't suspend basic civil rights. They didn't begin to capture, torture, and kill without due process. They didn't, in other words, allow themselves to be terrorized. Instead, they addressed the threat. They investigated and arrested the cult's leadership. They tried them in civilian courts and earned convictions through due process. They buried their dead. They mourned. And they moved on. In every sense, it was a rational, adult, mature response to a terrible terrorist act, one that remained largely in keeping with liberal democratic ideals.

30 Jun 14:03

Rolling Stones: “R U having a good time, Glastonbureeeeeeee?”

by Lúcio Ribeiro
Mahayana

Jagger, cada vez mais parecido com um Seu Madruga sem bigode.

>>

* Ontem rolou o histórico show da cinquentenária (e contando) superbanda Rolling Stones no Glastonbury Festival 2013. A maior das bandas vivas no maior dos festivais vivos. E, não, nem teve tantas participações especiais dividindo o palco com Jagger & Richards. Pois é, o Daft Punk NÃO apareceu

“Até que enfim nos convidaram para tocar aqui”, disse Jagger depois de umas duas músicas de show. No meio do discurso, o vocalista dos Stones falou ainda que foi ao festival na noite anterior para ver o Arctic Monkeys. Pensa.

Achei praticamente o show todo de ontem, no Youtube. Alguns deles estão fora de sincronia, mas ainda assim dá para ver bem e principalmente ouvir bem a performance. Quando tiver um vídeo só, com o show todo, a gente bota aqui.

Ladies & gentlemen: The Rolling Stones…

>>

28 Jun 10:56

Só pessoas como EEEUUU devem votar, já que nunca recebemos...

Mahayana

Vale para quem recebe empréstimo do BNDES ou corre pra pedir abate fiscal para poder fazer a empresa funcionar com lucros altíssimos?



Só pessoas como EEEUUU devem votar, já que nunca recebemos benefício ou privilégio nenhum do governo!!!

28 Jun 10:26

Uma das melhores coisas que eu li hoje, essa semana e...













Uma das melhores coisas que eu li hoje, essa semana e possivelmente este mês.

heyluchie:

My comic; “Introversion” is finished! Please go to the main page of my blog to read it in full size (the text is kinda small)

I really hope you’ll like it!

25 Jun 23:10

Toma essa: banda mais legal do mundo vem da Bélgica. E torce para o Palmeiras!

by Lúcio Ribeiro
Mahayana

O Jack White não tinha feito algo parecido para lançar o albúm dele?

(tá permitido achar que o cara vestindo a camiseta do Palmeiras é gatinho?)

* Vai, Pa-ra-ra-pa-Palmeiras!!!

Grupo indie com um pé no pop, os belgas do Garcia Goodbye despontam hoje como a banda mais cool do mundo da música, mesmo sem a gente saber muita coisa sobre eles.

O trio é formado por Tommy Gontie (vocalista e guitarrista), Tin Verryken (baixista) e Jens Leen (baterista) e iniciou a carreira em 2008. Eles têm algumas peculiaridades. A principal delas talvez seja o fato de a banda querer fazer mais sucesso fora da Bélgica do que no próprio país. Daí eles viajam para outros lugares tentando divulgar seu trabalho. Já fizeram um barulhinho em Luxemburgo, na Holanda e Turquia, por exemplo. Em 2011, vieram ao Brasil e fizeram uma session para uma rádio, se eu entendi bem.

No início deste ano, o grupo bolou uma estratégia de marketing surreal para lançar “Horizon”, seu single, que deixaria o Daft Punk com inveja. Eles pegaram um pen drive e gravaram nele o tal novo single e um release, pedindo para quem encontrasse o pen drive, retornasse o contato. A banda prometeu que iria atrás de quem achasse a mídia.

Então eles pegaram esse pen drive, o penduraram em um monte de balões e soltaram a partir da Bélgica, para que o vento “lançasse” o single para um lugar qualquer. Dias depois, chegou um email da DINAMARCA. Um rapaz havia encontrado o pen drive perto de um ponto de ônibus.

Cumprindo a promessa, a turma do Garcia Goodbye viajou cerca de 800 quilômetros até a casa do “novo fã” que encontrou o pen drive. A história ganhou até matéria no grande jornal El País. E a banda até fez um vídeo sobre isso.

Agora, apostando no mercado brasileiro (hihi), o Garcia Goodbye gravou uma música em homenagem ao Palmeiras (!!!!!!). Com o singelo título “Vai Palmeiras”, o grupo gravou um clipe para divulgar a faixa, usando camisa do time e botando umas palmeiras como decoração perto de uma trave. Fora isso, ao final, eles ainda cantam um pedaço do hino do clube.

Espero que eles sejam escalados para abrir a turnê dos Stones no estádio do Palmeiras daqui uns meses. Ou até mesmo do One Direction. Nada mais justo.

Vai, Palmeiras!

24 Jun 21:35

Chi and squares and contingencies

by Mark Liberman

Sybil Shaver writes:

Reading Stephen White's novel Line of Fire I encountered the following: (in the middle of a discussion of a death which is either accidental or suicide, p. 51 of the hardcover)

"What do you mean 'if she intends to die'? Isn't dying always intent?"

I shook my head. "It helps to think about suicidal behavior having two pairs of defining variables. Picture a simple chi square – a two-by-two graph. On one axis is the dichotomy of intent – the person intends either to die or to survive. On the other axis is the dichotomy of lethality – the person chooses either a method of high lethality or one of low lethality.

"The two-by-two chi square allows for four possible combinations." I turned over our grocery list and sketched a chi-square with four boxes. "People with low intent sometimes choose methods of high lethality. They can end up dying, almost by accident, because death wasn't what they were seeking. The opposite is people who intended to die, but they chose a low-lethality method. They're the ones who believed that five aspirin and two shots of vodka would kill them. But they end up surviving, again, almost by accident."

"You drew four boxes. What are the other two?"

I squeezed water from a rag to use to wipe the counter. "I described low intent/high lethality, and high intent/low lethality. The other two are low intent/low lethality, and high intent/high lethality. People in both those categories get the outcome they intended. Low intent/low lethality is the classic 'cry for help' suicide attempt-someone who intends to survive but is eager for someone else to know about the gesture. That person doesn't wish to die, and she chooses a method that makes death unlikely. High intent/high lethality is the guy who puts a shotgun barrel in his mouth and pulls the trigger with his toes. He intends to die and chooses a method that is damn near certain to do it.'

The first-person narrator uses "a chi-square" to refer to what I have always called "a contingency table". [In fact, the description of the four possibilities is very close to the way I describe the four possible results of doing a classical hypothesis test: two are errors, of different natures, and two give correct results.]

The narrator is Alan Gregory, a clinical psychologist (Ph. D.) and presumably at least a partial alter-ego for the author, who is also a clinical psychologist.

There is certainly some overlap between the usage of contingency tables and the usage of Chi-square tests, but I've never seen or heard of a contingency table being referred to as "a chi square" before. So is this an idiosyncracy of Stephen White (or possibly, of his teacher whom he thanks in the acknowledgments) or is it a common usage in some circles?

I don't intend to embarrass anyone by this question. (I'm quite sure that 30 years after my last heard lecture in PDEs, I'd badly mangle the terminology today.) But I'm curious. I hope you can find a way to put this out to the LL commenters.

I agree with Sybil — a matrix of (e.g.) intents and choices is called a "contingency table", while a "Chi square(d) distribution" is "the distribution of a sum of the squares of k independent standard normal random variables", used in various sorts of "Chi-square(d) test".

It's true that the contingency table described in White's novel is a square matrix (with the same number of rows and columns), and it's also true that the Χ2 distribution plays a role in the analysis of contingency tables, e.g. via Cramér's V. So it's plausible that someone might get confused, fictionally or in reality, and misunderstand or misremember a square contingency table as a "Chi square".

On the other hand, maybe some sub-tribe of statisticians has taken this terminological nexus as the basis for reducing the six syllables of "contingency table" down to the two syllable of "Chi square". Comments?

 

22 Jun 13:36

Viggo Mortensen compra 150m² para o San Lorenzo voltar a Boedo

by ImpedCorp
Mahayana

Viggo fica mais bonito a cada ano. É uma coisa impressionante.

Dividindo com o Papa o posto de mais MIDIÁTICO dos torcedores cuervos, Viggo Mortensen adquiriu o equivalente a 150m² para ajudar no retorno do San Lorenzo ao terreno da Avenida La Plata, em Boedo, conforme informou o San Lorenzo Web Site.

Em maio, o San Lorenzo lançou campanha para levantar 94 milhões de pesos (cerca de 40 milhões de reais) e comprar o terreno que hoje pertence ao Carrefour, conclamando cada torcedor a adquirir um metro quadrado.

san_lorenzo_viggo_mortensen

Não é a primeira vez que Viggo Mortensen coloca uma grana para ajudar o Ciclón. Volta e meia ele também aparece no Gasómetro para assistir algum jogo. O ator tornou-se torcedor do San Lorenzo no período em que morou na Argentina, durante sua infância.

Sobre a volta do San Lorenzo a Boedo, leia também:

San Lorenzo de Almagro, de Bajo Flores ou de Boedo?
Impedimento presente na marcha dos cuervos para voltar a Boedo

A fé move hipermercados
Los gauchos de Boedo no se iran jamas
Voltar ao Santo Gasómetro

Abaixo, um vídeo em que Mortensen DISCURSA no centenário do San Lorenzo, em 2008:

21 Jun 20:06

Unabridged Commentary

by Allan Metcalf
Mahayana

shareando só por causa da foto.

dictionary

Promoting an 1890s edition of the dictionary
(Encyclopaedia Britannica Inc.)

unabridged noun A big dictionary.

unabridged adjective (Of a dictionary) big.

We’re so used to these definitions—most recently applied to the online Merriam-Webster Unabridged—that we don’t notice how odd it is to use “unabridged” for a dictionary. For that distinctive use, we can thank George and Charles Merriam.

What other word might you use to indicate that a dictionary is big? Well, you could try Universal, as in Nathaniel Bailey’s 1721 Universal Etymological Dictionary of the English Language. Noah Webster tried Compendious for his 1806 Compendious Dictionary of the English Language. But most of the big dictionaries, including Samuel Johnson’s 1755 A Dictionary of the English Language and Webster’s 1828 An American Dictionary of the English Language, didn’t even try to mention size in their titles.

That posed a problem for publishers. If size matters in a dictionary, and it does, how could you get people to recognize it?

You could look through your dictionary for the right word.

“Compendious”? Here’s the usage discussion in the new Unabridged: “Noah Webster’s A Compendious Dictionary of the English Language defines 37,000 words in 355 pages; he intended its vocabulary to be larger than that of Samuel Johnson’s large two-volume dictionary. Webster’s compendious meant ‘comprehensive and concise.’ And ‘comprehensive and concise’ is how most dictionaries have since defined the word. This sense is still in use.” Fine, but “concise” suggests the opposite of big.

So maybe “comprehensive”? According to the new Unabridged, that’s “covering a matter under consideration completely or nearly completely.” An honest lexicographer knows that no dictionary can completely cover the vocabulary of any living language.

Well, what about “universal”? “Including or covering all or a whole collectively or distributively without limit or notable exception or variation.” Another impossibility.

Meanwhile, on Noah Webster’s death, in 1843, the Merriam brothers obtained the rights to his dictionaries. Around that time, they or some marketing genius hit upon the word “unabridged” to imply bigness without stretching the literal truth. As Merriam-Webster still does nowadays, they published a whole line of dictionaries, from large to small. The big one was An American Dictionary of the English Language, advertised as “the unabridged” with testimonials like this:

“Webster’s Quarto Dictionary Unabridged.

“We believe we shall be certain of doing a service to the people of the State, if we say a word or two upon the Unabridged Quarto Dictionary of the English Language, by Noah Webster. The word UNABRIDGED has been purposely employed, because if such a work is wanted for any but the very lowest uses—those of mere orthography, or orthoepy—it cannot be too copious and comprehensive. When one is ignorant of the proper and precise powers of a word, he can not endure to be turned over to an abridgment that gives him a synonym, instead of a definition; but he demands to know as much as any body knows of its history or etymology, and its different shades of meaning. Then only can he employ it with confidence and effect, as a mighty weapon for the expression of intellect or passion.”—Newark Daily Advertiser, March 25, 1851.

Indeed, “unabridged” has two virtues: avoiding any promise of comprehensiveness, while implying that other dictionaries are abridgements of the magnum opus. The biggest Merriam-Webster has been known as “unabridged” ever since, but only now has that become its name.

And how does this new Unabridged define “unabridged”? Its second definition is a little plug for itself: “being the most complete of its class <an unabridged dictionary>.”

Still, it’s odd. “Un” implies that the opposite is the norm, the unmarked or usual term. We wouldn’t say “an uncensored book” unless censoring were the norm, “an unbroken window” unless broken windows were the norm, “an unlimited expense account” unless limitations on accounts were the norm.

So to say “an unabridged dictionary” implies that abridgement is the norm and encourages us to think less of anything but the biggest. But what else can dictionary makers do? They adopted “unabridged,” and now they’re stuck with it.

21 Jun 13:27

06/19/13 PHD comic: 'How to Write Your Thesis in Ten Minutes a Day'

Piled Higher & Deeper by Jorge Cham
www.phdcomics.com
Click on the title below to read the comic
title: "How to Write Your Thesis in Ten Minutes a Day" - originally published 6/19/2013

For the latest news in PHD Comics, CLICK HERE!

18 Jun 15:54

Health via Kurt White

by joberholtzer


Health

via Kurt White