第三週---美白人警殺黑人

Freaky Coincidence! Michael Brown And Eric Garner Were Both Black

Dec. 4, 2014  
by clickhole

If you’ve been paying attention to the news lately, you might have noticed that a lot of people are talking about the deaths of Michael Brown and Eric Garner. 

  At first glance, these deaths might seem completely unrelated: Brown was killed in Ferguson, MO and Garner was killed in Staten Island, NY almost an ENTIRE MONTH apart.

But when you look closer, you might notice a really freaky coincidence between the two deaths: Both Michael Brown and Eric Garner were black.

Weird, right? Well, this insane rabbit hole goes even deeper. Ready for a mindfuck? This is Darren Wilson, the man who killed Michael Brown:

And here’s Daniel Pantaleo, the man who killed Eric Garner:

Just normal guys, right? Guess again: Wilson and Pantaleo are BOTH police officers. That’s right: The guy who killed Michael Brown and the guy who killed Eric Garner had the SAME EXACT JOB.

It’s like something out of a science-fiction movie.

You’re probably thinking that the strange coincidences end there, but take a look at this:

Yep. You saw that right. Through some sort of incredible random chance, both Brown’s death AND Garner’s death resulted in absolutely no indictment for the men who killed them. You’re more likely to get struck by lightning than witness this ridiculous level of coincidence.

Is your mind blown? We thought so. But this gets even crazier. In 2006, a man named Sean Bell was shot and killed in New York City. The man who shot him was, that’s right, ALSO A POLICE OFFICER, just like Darren Wilson and Daniel Pantaleo.

Yep. Incredibly, Sean Bell was black, just like Michael Brown and Eric Garner. You can’t make this stuff up!

You’d think this incredible train of freak coincidences would stop here, but it just keeps going: Somehow, Brown’s death, Garner’s death, and Bell’s death all bear unbelievably creepy similarities to the deaths of John Crawford in Beavercreek, OH, Akai Gurley in Brooklyn, and Tamir Rice in Cleveland.

Somehow, all of these people were killed by police officers who faced little or no consequences for killing them, and, through mysterious cosmic forces that are impossible to explain, all of them were black men, except for Rice, who was a black 12-year-old boy (though despite this one big difference, his death is still eerily similar).

Can you imagine how completely WTF it would be if there were EVEN MORE examples of black men getting killed by police officers? We’re not sure if we’d be able to handle it. That would just be too freaky.

So, there’s your Twilight Zone moment for the day. The odds of something like this happening in the exact same way over and over again are completely astronomical, and we’ll probably never see it happen again.

Still, it’s the kind of crazy random coincidence that makes you go.

http://www.clickhole.com/article/freaky-coincidence-michael-brown-and-eric-garner-w-1545

Structure of the Lead：

WHAT- pay attention to the deaths of  Michael Brown and Eric Garner

WHEN- lately

WHY- not given
WHERE- not given
WHO- you
HOW- not given

Keywords:
1.coincidence :巧合
2.indictment :控告
3.ridiculous:荒謬的
4.similarities:類似
5.random:偶然的行動

第一週---2015年代表字

Oxford’s 2015 Word of the Year Is This Emoji

Nov. 16, 2015 2:08 PM

By Katy Steinmetz

It's a historic moment of recognition for little images that have been gaining popularity since 1999.

    Oxford Dictionaries made history on Monday by announcing that their “Word of the Year” would not be one of those old-fashioned, string-of-letters-type words at all. The flag their editors are planting to sum up who we were in 2015 is this pictograph, an acknowledgement of just how popular these pictures have become in our (digital) daily lives:“Although emoji have been a staple of texting teens for some time, emoji culture exploded into the global mainstream over the past year,” the company’s team wrote in a press release. “Emoji have come to embody a core aspect of living in a digital world that is visually driven, emotionally expressive, and obsessively immediate.

    ”Oxford University Press—which publishes both the august Oxford English Dictionary and the lower-brow, more-modern Oxford Dictionaries Online—partnered with keyboard-app company SwiftKey to determine which emoji was getting the most play this past year. According to their data, the “Face With Tears of Joy” emoji, also known as LOL Emoji or Laughing Emoji, comprised nearly 20% of all emoji use in the U.S. and the U.K., where Oxford is based. The runner-up in the U.S., with 9% of usage, was this number:Caspar Grathwohl, the president of Oxford Dictionaries, explained that their choice reflects the walls-down world that we live in. “Emoji are becoming an increasingly rich form of communication, one that transcends linguistic borders,” he said in a statement. And their choice for the word of the year, he added, embodies the “playfulness and intimacy” that characterizes emoji-using culture.Though this marks a historic moment of recognition for the pictures plastered throughout tweets and texts, Oxford has not added or defined any emoji in their actual databases. Nor, says a spokesperson for the publisher, do they have plans to do so at this point. The word emoji, however, has been in both the OED and Oxford Dictionaries Online since 2013.

     Japanese telecommunications planner Shigetaka Kurita is credited with inventing these little images in 1999, taking the emoticons that had been gaining steam on the Internet to an iconic level. Inspired by comics and street signs, the name for the alphanumeric images comes from combining the Japanese words for picture (e-) and character (moji). “It’s easy to write them off as just silly little smiley faces or thumbs-up,” sociolinguist Ben Zimmer told TIME for a story on how emoji fit into humans’ long history of using pictures to communicate. “But there’s an awful lot of people who are very interested in treating them seriously.”

http://time.com/4114886/oxford-word-of-the-year-2015-emoji/

Structure of the Lead：

WHAT- A historic moment. 

WHEN- Since 1999 that has been gaining popularity.

WHY- Recognition for little images.
WHERE- not given
WHO- not given
HOW- not given

Keywords:
1.pictograph:象形文字
2.emoji :表情符號
3.transcend:超越.勝過
4.linguistic:語言學的
5.iconic:圖標的