Nancy Lublin The heartbreaking text that inspired a crisis help line

9.7分钟 1594次

短短一条短信建立起救助弱势群体的网络,促进社会和谐

Nancy Lublin: The heartbreaking text that inspired a crisis help line Nov 2015

00:11

A girl I've never met before changed my life and the life of thousands of other people. I'm the CEO of DoSomething.org. It's one of the largest organizations in the world for young people. In fact it's bigger than the Boy Scouts in the United States. And we're not homophobic.

00:30

(Laughter)

00:33

And it's true -- the way we communicate with young people is by text, because that's how young people communicate. So we'll run over 200 campaigns this year, things like collecting peanut butter for food pantries, or making Valentine's Day cards for senior citizens who are homebound. And we'll text them. And we'll have a 97 percent open rate. It'll over-index Hispanic and urban. We collected 200,000 jars of peanut butter and over 365,000 Valentine's Day cards. This is big scale. OK --

01:09

(Applause)

01:12

But there's one weird side effect. Every time we send out a text message, we get back a few dozen text messages having nothing to do with peanut butter or hunger or senior citizens -- but text messages about being bullied, text messages about being addicted to pot. And the worst message we ever got said exactly this: "He won't stop raping me. It's my dad. He told me not to tell anyone. Are you there?"

01:49

We couldn't believe this was happening. We couldn't believe that something so horrific could happen to a human being, and that she would share it with us -- something so intimate, so personal. And we realized we had to stop triaging this and we had to build a crisis text line for these people in pain. So we launched Crisis Text Line, very quietly, in Chicago and El Paso -- just a few thousand people in each market. And in four months, we were in all 295 area codes in America. Just to put that into perspective, that's zero marketing and faster growth than when Facebook first launched.

02:25

(Applause)

02:30

Text is unbelievably private. No one hears you talking. So we spike everyday at lunch time -- kids are sitting at the lunch table and you think that she's texting the cute boy across the hall, but she's actually texting us about her bulimia. And we don't get the word "like" or "um" or hyperventilating or crying. We just get facts.

02:51

We get things like, "I want to die. I have a bottle of pills on the desk in front of me." And so the crisis counselor says, "How about you put those pills in the drawer while we text?" And they go back and forth for a while. And the crisis counselor gets the girl to give her her address, because if you're texting a text line, you want help. So she gets the address and the counselor triggers an active rescue while they're texting back and forth. And then it goes quiet -- 23 minutes with no response from this girl. And the next message that comes in says -- it's the mom -- "I had no idea, and I was in the house, we're in an ambulance on our way to the hospital." As a mom that one just -- The next message comes a month later. "I just got out of the hospital. I was diagnosed as bipolar, and I think I'm going to be OK."

03:52

(Applause)

03:55

I would love to tell you that that's an unusual exchange, but we're doing on average 2.41 active rescues a day. Thirty percent of our text messages are about suicide and depression -- huge. The beautiful thing about Crisis Text Line is that these are strangers counseling other strangers on the most intimate issues, and getting them from hot moments to cold moments. It's exciting, and I will tell you that we have done a total of more than 6.5 million text messages in less than two years.

04:28

(Applause)

04:33

But the thing that really gets me hot and sweaty about this, the thing that really gets me psyched is the data: 6.5 million messages -- that's the volume, velocity and variety to provide a really juicy corpus. We can do things like predictive work. We can do all kinds of conclusions and learnings from that data set. So we can be better, and the world can be better. So how do we use the data to make us better? Alright, chances are someone here, someone watching this has seen a therapist or a shrink at some point in time in your life -- you do not have to raise your hand.

05:08

(Laughter)

05:10

How do you know that person's any good? Oh, they have a degree from Harvard on the wall? Are you sure he didn't graduate in the bottom 10 percent?

05:17

(Laughter)

05:19

When my husband and I saw a marriage counselor, I thought she was a genius when she said, "I'll see you guys in two weeks -- but I need to see you next week, sir."

05:26

(Laughter)

05:29

We have the data to know what makes a great counselor. We know that if you text the words "numbs" and "sleeve," there's a 99 percent match for cutting. We know that if you text in the words "mg" and "rubber band," there's a 99 percent match for substance abuse. And we know that if you text in "sex," "oral" and "Mormon," you're questioning if you're gay. Now that's interesting information that a counselor could figure out but that algorithm in our hands means that an automatic pop-up says, "99 percent match for cutting -- try asking one of these questions" to prompt the counselor. Or "99 percent match for substance abuse, here are three drug clinics near the texter." It makes us more accurate.

06:21

On the day that Robin Williams committed suicide, people flooded hotlines all over this country. It was sad to see an icon, a funnyman, commit suicide, and there were three hour wait times on every phone hotline in the country. We had a spike in volume also. The difference was if you text us, "I want to die," or "I want to kill myself," the algorithm reads that, you're code orange, and you become number one in the queue. So we can handle severity, not chronological.

06:50

(Applause)

06:55

This data is also making the world better because I'm sitting on the world's first map of real-time crises. Think about it: those 6.5 million messages, auto-tagging through natural language processes, all of these data points -- I can tell you that the worst day of the week for eating disorders: Monday. The worst time of day for substance abuse: 5am. And that Montana is a beautiful place to visit but you do not want to live there, because it is the number one state for suicidal ideation.

07:30

And we've made this data public and free and open. We've pulled all the personally identifiable information. And it's in a place called CrisisTrends.org. Because I want schools to be able to see that Monday is the worst day for eating disorders, so that they can plan meals and guidance counselors to be there on Mondays. And I want families to see that substance abuse questions spike at 5am. I want somebody to take care of those Native American reservations in Montana.

08:02

(Applause)

08:05

Data, evidence makes policy, research, journalism, policing, school boards -- everything better. I don't think of myself as a mental health activist. I think of myself as a national health activist. I get really excited about this data, I'm a little nerdy. Yeah, that sounded too girly. I'm nerdy.

08:28

(Laughter)

08:30

I love data. And the only difference really between me and those people in hoodies down the road with their fat-funded companies, is that I'm not inspired by helping you find Chinese food at 2am in Dallas, or helping you touch your wrist and get a car immediately, or swipe right and get laid. I'm inspired --

08:54

(Laughter, applause)

08:59

I want to use tech and data to make the world a better place. I want to use it to help that girl, who texted in about being raped by her father. Because the truth is we never heard from her again. And I hope that she is somewhere safe and healthy, and I hope that she sees this talk and she knows that her desperation and her courage inspired the creation of Crisis Text Line and inspires me every freaking day.

09:27

(Applause)

  • 时长:9.7分钟
  • 来源:TED 2016-06-15