1 00:00:02,106 --> 00:00:03,984 To most of you, this is a device 2 00:00:03,984 --> 00:00:06,992 to buy, sell, play games, 3 00:00:06,992 --> 00:00:08,902 watch videos. 4 00:00:08,902 --> 00:00:11,042 I think it might be a lifeline. 5 00:00:11,042 --> 00:00:13,458 I think actually it might be able to save more lives 6 00:00:13,458 --> 00:00:14,958 than penicillin. 7 00:00:14,958 --> 00:00:16,431 Texting: 8 00:00:16,431 --> 00:00:19,250 I know I say texting and a lot of you think sexting, 9 00:00:19,250 --> 00:00:22,500 a lot of you think about the lewd photos that you see -- 10 00:00:22,500 --> 00:00:25,125 hopefully not your kids sending to somebody else -- 11 00:00:25,125 --> 00:00:26,917 or trying to translate the abbreviations 12 00:00:26,917 --> 00:00:29,875 LOL, LMAO, HMU. 13 00:00:29,875 --> 00:00:31,708 I can help you with those later. 14 00:00:31,708 --> 00:00:33,750 But the parents in the room 15 00:00:33,750 --> 00:00:35,375 know that texting is actually 16 00:00:35,375 --> 00:00:38,000 the best way to communicate with your kids. 17 00:00:38,000 --> 00:00:40,833 It might be the only way to communicate with your kids. 18 00:00:40,833 --> 00:00:42,500 (Laughter) 19 00:00:42,500 --> 00:00:47,125 The average teenager sends 3,339 text messages a month, 20 00:00:47,125 --> 00:00:50,625 unless she's a girl, then it's closer to 4,000. 21 00:00:50,625 --> 00:00:54,208 And the secret is she opens every single one. 22 00:00:54,208 --> 00:00:57,917 Texting has a 100 percent open rate. 23 00:00:57,917 --> 00:00:59,333 Now the parents are really alarmed. 24 00:00:59,333 --> 00:01:01,167 It's a 100 percent open rate 25 00:01:01,167 --> 00:01:02,917 even if she doesn't respond to you 26 00:01:02,917 --> 00:01:04,667 when you ask her when she's coming home for dinner. 27 00:01:04,667 --> 00:01:06,208 I promise she read that text. 28 00:01:06,208 --> 00:01:12,292 And this isn't some suburban iPhone-using teen phenomenon. 29 00:01:12,292 --> 00:01:13,667 Texting actually overindexes 30 00:01:13,667 --> 00:01:15,750 for minority and urban youth. 31 00:01:15,750 --> 00:01:18,625 I know this because at DoSomething.org, 32 00:01:18,625 --> 00:01:20,333 which is the largest organization 33 00:01:20,333 --> 00:01:23,292 for teenagers and social change in America, 34 00:01:23,292 --> 00:01:24,750 about six months ago we pivoted 35 00:01:24,750 --> 00:01:26,375 and started focusing on text messaging. 36 00:01:26,375 --> 00:01:30,583 We're now texting out to about 200,000 kids a week 37 00:01:30,583 --> 00:01:33,292 about doing our campaigns to make their schools more green 38 00:01:33,292 --> 00:01:36,458 or to work on homeless issues and things like that. 39 00:01:36,458 --> 00:01:39,875 We're finding it 11 times more powerful than email. 40 00:01:39,875 --> 00:01:45,958 We've also found an unintended consequence. 41 00:01:45,958 --> 00:01:49,000 We've been getting text messages back like these. 42 00:01:49,000 --> 00:01:52,250 "I don't want to go to school today. 43 00:01:52,250 --> 00:01:54,125 The boys call me faggot." 44 00:01:54,125 --> 00:01:58,708 "I was cutting, my parents found out, 45 00:01:58,708 --> 00:02:00,583 and so I stopped. 46 00:02:00,583 --> 00:02:02,792 But I just started again an hour ago." 47 00:02:02,792 --> 00:02:06,083 Or, "He won't stop raping me. 48 00:02:06,083 --> 00:02:07,458 He told me not to tell anyone. 49 00:02:07,458 --> 00:02:10,250 It's my dad. Are you there?" 50 00:02:10,250 --> 00:02:13,375 That last one's an actual text message that we received. 51 00:02:13,375 --> 00:02:16,125 And yeah, we're there. 52 00:02:16,125 --> 00:02:18,667 I will not forget the day we got that text message. 53 00:02:18,667 --> 00:02:21,083 And so it was that day that we decided 54 00:02:21,083 --> 00:02:24,208 we needed to build a crisis text hotline. 55 00:02:24,208 --> 00:02:25,708 Because this isn't what we do. 56 00:02:25,708 --> 00:02:27,042 We do social change. 57 00:02:27,042 --> 00:02:29,042 Kids are just sending us these text messages 58 00:02:29,042 --> 00:02:31,958 because texting is so familiar and comfortable to them 59 00:02:31,958 --> 00:02:33,750 and there's nowhere else to turn 60 00:02:33,750 --> 00:02:36,333 that they're sending them to us. 61 00:02:36,333 --> 00:02:38,625 So think about it, a text hotline; it's pretty powerful. 62 00:02:38,625 --> 00:02:40,333 It's fast, it's pretty private. 63 00:02:40,333 --> 00:02:43,750 No one hears you in a stall, you're just texting quietly. 64 00:02:43,750 --> 00:02:45,792 It's real time. 65 00:02:45,792 --> 00:02:48,954 We can help millions of teens with counseling and referrals. 66 00:02:48,954 --> 00:02:51,208 That's great. 67 00:02:51,208 --> 00:02:55,625 But the thing that really makes this awesome is the data. 68 00:02:55,625 --> 00:02:58,125 Because I'm not really comfortable just helping that girl 69 00:02:58,125 --> 00:02:59,875 with counseling and referrals. 70 00:02:59,875 --> 00:03:03,375 I want to prevent this shit from happening. 71 00:03:03,375 --> 00:03:06,708 So think about a cop. 72 00:03:06,708 --> 00:03:08,458 There's something in New York City. 73 00:03:08,458 --> 00:03:11,000 The police did it. It used to be just guess work, police work. 74 00:03:11,000 --> 00:03:14,583 And then they started crime mapping. 75 00:03:14,583 --> 00:03:15,958 And so they started following and watching 76 00:03:15,958 --> 00:03:19,000 petty thefts, summonses, all kinds of things -- 77 00:03:19,000 --> 00:03:20,750 charting the future essentially. 78 00:03:20,750 --> 00:03:23,458 And they found things like, 79 00:03:23,458 --> 00:03:25,083 when you see crystal meth on the street, 80 00:03:25,083 --> 00:03:26,708 if you add police presence, 81 00:03:26,708 --> 00:03:29,833 you can curb the otherwise inevitable spate 82 00:03:29,833 --> 00:03:33,417 of assaults and robberies that would happen. 83 00:03:33,417 --> 00:03:34,542 In fact, the year after 84 00:03:34,542 --> 00:03:37,167 the NYPD put CompStat in place, 85 00:03:37,167 --> 00:03:40,333 the murder rate fell 60 percent. 86 00:03:40,333 --> 00:03:44,875 So think about the data from a crisis text line. 87 00:03:44,875 --> 00:03:48,250 There is no census on bullying and dating abuse 88 00:03:48,250 --> 00:03:51,167 and eating disorders and cutting and rape -- 89 00:03:51,167 --> 00:03:52,917 no census. 90 00:03:52,917 --> 00:03:55,250 Maybe there's some studies, some longitudinal studies, 91 00:03:55,250 --> 00:03:57,875 that cost lots of money and took lots of time. 92 00:03:57,875 --> 00:04:00,250 Or maybe there's some anecdotal evidence. 93 00:04:00,250 --> 00:04:03,250 Imagine having real time data 94 00:04:03,250 --> 00:04:04,917 on every one of those issues. 95 00:04:04,917 --> 00:04:06,708 You could inform legislation. 96 00:04:06,708 --> 00:04:08,500 You could inform school policy. 97 00:04:08,500 --> 00:04:10,583 You could say to a principal, 98 00:04:10,583 --> 00:04:13,375 "You're having a problem every Thursday at three o'clock. 99 00:04:13,375 --> 00:04:15,333 What's going on in your school?" 100 00:04:15,333 --> 00:04:17,875 You could see the immediate impact of legislation 101 00:04:17,875 --> 00:04:20,167 or a hateful speech that somebody gives in a school assembly 102 00:04:20,167 --> 00:04:23,708 and see what happens as a result. 103 00:04:23,708 --> 00:04:25,375 This is really, to me, 104 00:04:25,375 --> 00:04:28,750 the power of texting and the power of data. 105 00:04:28,750 --> 00:04:31,000 Because while people are talking about data, 106 00:04:31,000 --> 00:04:32,583 making it possible for Facebook 107 00:04:32,583 --> 00:04:34,833 to mine my friend from the third grade, 108 00:04:34,833 --> 00:04:37,792 or Target to know when it's time for me to buy more diapers, 109 00:04:37,792 --> 00:04:40,792 or some dude to build a better baseball team, 110 00:04:40,792 --> 00:04:45,958 I'm actually really excited about the power of data and the power of texting 111 00:04:45,958 --> 00:04:48,083 to help that kid go to school, 112 00:04:48,083 --> 00:04:50,167 to help that girl stop cutting in the bathroom 113 00:04:50,167 --> 00:04:54,083 and absolutely to help that girl whose father's raping her. 114 00:04:54,083 --> 00:04:56,875 Thank you. 115 00:04:56,875 --> 00:05:01,625 (Applause)