1 00:00:02,440 --> 00:00:05,840 Speaker 1: Global business news twenty four hours a day at Bloomberg 2 00:00:05,880 --> 00:00:08,960 Speaker 1: dot com, the radio plus mobile LAP and on your radio. 3 00:00:09,240 --> 00:00:13,200 Speaker 1: This is a Bloomberg Business Flash and I'm Karen Moscow. 4 00:00:13,240 --> 00:00:16,439 Speaker 1: This update is brought to you by National Realty Returns 5 00:00:16,440 --> 00:00:18,720 Speaker 1: on cash and rented real estate find them at n 6 00:00:18,920 --> 00:00:22,880 Speaker 1: r i A dot net. Stocks are rising and are 7 00:00:22,920 --> 00:00:26,520 Speaker 1: on track to extend their longest weekly winning streaksince November, 8 00:00:26,560 --> 00:00:29,120 Speaker 1: as banks climb and energy producers advance and in further 9 00:00:29,240 --> 00:00:32,200 Speaker 1: gains and oil prices. To check the markets every fifteen 10 00:00:32,200 --> 00:00:35,040 Speaker 1: minutes throughout the trading day. On Bloomberg, the S and 11 00:00:35,120 --> 00:00:37,960 Speaker 1: P five is up three tenths per cent or five points. 12 00:00:38,000 --> 00:00:40,880 Speaker 1: It's at forty six and it's a race. It's declined 13 00:00:40,920 --> 00:00:43,519 Speaker 1: for the year. It's now up to tenths percent year 14 00:00:43,560 --> 00:00:47,240 Speaker 1: to date. Dow Jones Industrial average it's up four tenths percent, 15 00:00:47,240 --> 00:00:50,400 Speaker 1: where sixty nine points at seventeen thousand, five hundred forty nine. 16 00:00:50,400 --> 00:00:53,200 Speaker 1: The Nasdacs up a tenth of uppercent or five points, 17 00:00:53,200 --> 00:00:56,400 Speaker 1: to forty seven eighty tenure treasury of five thirty seconds. 18 00:00:56,400 --> 00:00:58,760 Speaker 1: The yeld one point eight seven percent yield on the 19 00:00:58,800 --> 00:01:01,600 Speaker 1: two year point eight three p set Nimex screw Oil 20 00:01:01,640 --> 00:01:03,680 Speaker 1: at one point nine percent or seventy eight cents to 21 00:01:03,760 --> 00:01:06,440 Speaker 1: forty one dollars of arrow Comex Goal down nine ten 22 00:01:06,560 --> 00:01:09,320 Speaker 1: percent or eleven dollars sixty cents to twelve fifty three 23 00:01:09,360 --> 00:01:12,320 Speaker 1: forty announced the Euro and dollar twelve ninety five. The 24 00:01:12,520 --> 00:01:15,560 Speaker 1: n one eleven point four five star Wars Hotels and 25 00:01:15,600 --> 00:01:19,200 Speaker 1: Resorts worldwide, owners of brands such as Weston, Sheritan and 26 00:01:19,400 --> 00:01:23,119 Speaker 1: w said it received a binding thirteen point two billion 27 00:01:23,120 --> 00:01:25,800 Speaker 1: dollar takeover bid from a group led by China's end 28 00:01:25,880 --> 00:01:29,560 Speaker 1: Bang Insurance Group, a superior offer to one by Marriott 29 00:01:29,600 --> 00:01:33,640 Speaker 1: International and Ford Motor, increasing Chief executive Mark Fields twenty 30 00:01:33,720 --> 00:01:38,360 Speaker 1: fifteen conversation seventeen percent to seventeen point three million dollars 31 00:01:38,400 --> 00:01:41,880 Speaker 1: excluding changes in pension value, as the automaker posted record 32 00:01:41,920 --> 00:01:45,480 Speaker 1: profit on searching sales of sport utility vehicles forward up 33 00:01:45,520 --> 00:01:48,160 Speaker 1: one and a half percent this morning. That's a Bloomberg 34 00:01:48,160 --> 00:01:52,920 Speaker 1: business flash, Tom and Mike, it's Bloomberg surveillance. This morning, 35 00:01:52,920 --> 00:01:55,600 Speaker 1: we say good morning to all of you. And now 36 00:01:55,680 --> 00:01:58,440 Speaker 1: we wanted to go out and end Friday with a 37 00:01:58,520 --> 00:02:00,680 Speaker 1: woman that gets the most hate man all in America. 38 00:02:00,720 --> 00:02:03,320 Speaker 1: Her name is Dana Goldstein. She lives in Brooklyn, and 39 00:02:03,360 --> 00:02:05,960 Speaker 1: she write Brooks Like The Teacher Whoar is a history 40 00:02:05,960 --> 00:02:10,240 Speaker 1: of America's most embattled profession. Dana, more than anyone, has 41 00:02:10,280 --> 00:02:14,920 Speaker 1: been the pinata of anger over kids education in America, 42 00:02:15,320 --> 00:02:18,440 Speaker 1: and particularly math education. Dana, I'm wonderful to have you 43 00:02:18,480 --> 00:02:21,080 Speaker 1: back on the show. Good morning, It's so good to 44 00:02:21,120 --> 00:02:24,000 Speaker 1: be here. Dana. I look at question eight Algebra one 45 00:02:24,080 --> 00:02:27,680 Speaker 1: Common Cored Exam June of two years ago, which equation 46 00:02:27,720 --> 00:02:31,160 Speaker 1: has the same solution is x squared minus six x 47 00:02:31,560 --> 00:02:36,560 Speaker 1: minus twelve equal zero? In the uproar right now is 48 00:02:36,600 --> 00:02:39,760 Speaker 1: should we just throw in the towel and say some 49 00:02:39,840 --> 00:02:43,720 Speaker 1: kids will learn that and many others won't. Frame that 50 00:02:43,800 --> 00:02:48,720 Speaker 1: debate right now. Yeah, Well, it's a very controversial question 51 00:02:48,760 --> 00:02:53,519 Speaker 1: because states and territories have adopted these common Core standards 52 00:02:53,560 --> 00:02:55,680 Speaker 1: and the goal of that is to make this type 53 00:02:55,720 --> 00:02:59,280 Speaker 1: of algebra two or more advanced algebra a requirement for 54 00:02:59,440 --> 00:03:03,200 Speaker 1: a high school diploma. Now, if you look internationally, are 55 00:03:03,360 --> 00:03:06,840 Speaker 1: peers in Europe and Asia have tracking in high school? 56 00:03:06,880 --> 00:03:10,680 Speaker 1: They don't expect every single kid to achieve the same 57 00:03:10,760 --> 00:03:13,519 Speaker 1: level of maths. So we're a bit of an outlier. 58 00:03:13,720 --> 00:03:16,680 Speaker 1: Um in part because tracking has such a disturbing history 59 00:03:16,680 --> 00:03:20,880 Speaker 1: in the United States, UM, having been associated with racist policies, 60 00:03:20,919 --> 00:03:24,919 Speaker 1: classist policies, sexist policies. But now we're starting to ask 61 00:03:24,919 --> 00:03:27,040 Speaker 1: the question, what this common Core? You know? Is this 62 00:03:27,200 --> 00:03:30,760 Speaker 1: really fair? Because research on dropouts at both the high 63 00:03:30,800 --> 00:03:33,920 Speaker 1: school and community college level shows that there's lots of 64 00:03:33,960 --> 00:03:36,600 Speaker 1: reasons why people don't earn that degree, but the number 65 00:03:36,640 --> 00:03:41,040 Speaker 1: one academic reasons is that they cannot pass algebra. Brilliantly, 66 00:03:41,080 --> 00:03:42,920 Speaker 1: saidd In like, the distinction here is this is not 67 00:03:43,040 --> 00:03:46,720 Speaker 1: Harry Potter the Hogwarts. It's not about British elitism. This 68 00:03:46,800 --> 00:03:50,360 Speaker 1: is a debate in Germany in Switzerland as well. Well. 69 00:03:52,040 --> 00:03:55,520 Speaker 1: Let's step back a second and define what we're talking about. 70 00:03:55,560 --> 00:03:59,960 Speaker 1: The common Core was an effort basically at the state level. 71 00:04:00,000 --> 00:04:02,320 Speaker 1: Donald Trump doesn't know what he's talking about. Uh, tow 72 00:04:03,000 --> 00:04:08,080 Speaker 1: um create a common set of knowledge among the American 73 00:04:08,120 --> 00:04:12,560 Speaker 1: states for what children should learn should have learned by 74 00:04:12,600 --> 00:04:17,960 Speaker 1: the time they leave high school. Uh. But the things 75 00:04:17,960 --> 00:04:21,360 Speaker 1: we're talking about here, in terms of algebra to etcetera, 76 00:04:21,839 --> 00:04:25,080 Speaker 1: are debates about what should be in the common Core 77 00:04:25,279 --> 00:04:29,719 Speaker 1: as opposed to the common Core itself. Correct. I think yeah, 78 00:04:29,760 --> 00:04:32,120 Speaker 1: I think that is a good way to state it. 79 00:04:32,680 --> 00:04:36,640 Speaker 1: We could have multiple maths pathways. For example, what I 80 00:04:36,720 --> 00:04:39,400 Speaker 1: talked about in my article for Slate is whether we 81 00:04:39,440 --> 00:04:42,920 Speaker 1: should allow statistics as a substitute for algebra two. There 82 00:04:42,960 --> 00:04:45,560 Speaker 1: are some evidence that students who don't do well in 83 00:04:45,560 --> 00:04:48,920 Speaker 1: algebra two do dow on statistics. That statistics is more 84 00:04:49,040 --> 00:04:52,520 Speaker 1: applicable to the average person's life. So you know, why 85 00:04:52,560 --> 00:04:55,320 Speaker 1: does there just have to do one way forward? Potentially 86 00:04:55,360 --> 00:04:57,320 Speaker 1: there could be multiple pathway. Okay, but when I was 87 00:04:57,360 --> 00:05:00,240 Speaker 1: in school, folks, this is right after Madison's at up 88 00:05:00,240 --> 00:05:03,720 Speaker 1: a small college in New Jersey, Dana. There used to 89 00:05:03,800 --> 00:05:06,719 Speaker 1: be like Bosies or you know, sort of a blue 90 00:05:06,720 --> 00:05:10,200 Speaker 1: collar factory tract. And then you know, yet regions and 91 00:05:10,240 --> 00:05:13,840 Speaker 1: all that regions English blah blah blah. We've given up 92 00:05:13,880 --> 00:05:15,800 Speaker 1: on that. Everybody's going to be a rock star and 93 00:05:15,960 --> 00:05:18,680 Speaker 1: learn algebra, And as you state, a large body of 94 00:05:18,760 --> 00:05:20,840 Speaker 1: America says, no, we don't want to do that. So 95 00:05:20,880 --> 00:05:22,680 Speaker 1: where do we go from here? Where do you want 96 00:05:22,760 --> 00:05:26,960 Speaker 1: us to be in two thousand twenty one? M Yeah, 97 00:05:27,000 --> 00:05:29,279 Speaker 1: that's interesting. You know, my father, he's retired now that 98 00:05:29,360 --> 00:05:31,719 Speaker 1: he spent his career working for both sies. So I'm 99 00:05:31,880 --> 00:05:35,640 Speaker 1: very familiar with the career and technical education history here 100 00:05:35,640 --> 00:05:38,560 Speaker 1: in New York and across the country. I think that 101 00:05:38,600 --> 00:05:41,080 Speaker 1: we've done something very interesting in the United States. We've 102 00:05:41,120 --> 00:05:44,400 Speaker 1: really given up on the idea of career and technical 103 00:05:44,520 --> 00:05:48,200 Speaker 1: education what used to be called vocational education. UM. There's 104 00:05:48,240 --> 00:05:50,880 Speaker 1: a few examples of places where it works well, but 105 00:05:51,040 --> 00:05:53,440 Speaker 1: for the most part, it's not an option for people. 106 00:05:54,040 --> 00:05:57,200 Speaker 1: So I think that we have really embraced a sense 107 00:05:57,320 --> 00:05:59,680 Speaker 1: of college for all and what that means is that 108 00:05:59,720 --> 00:06:02,599 Speaker 1: we expects or hope that all kids will go to 109 00:06:02,680 --> 00:06:05,599 Speaker 1: get the four year liberal arts college degree. And that's 110 00:06:05,720 --> 00:06:09,479 Speaker 1: that is, not, unfortunately, UM realistic. There's lots of jobs 111 00:06:09,480 --> 00:06:11,560 Speaker 1: that we need to train people for, whether it's being 112 00:06:11,600 --> 00:06:16,440 Speaker 1: a nurse practitioner or um a dental technician, that you know, 113 00:06:16,560 --> 00:06:21,920 Speaker 1: require numeric thinking but not necessarily abstract algebra. And so 114 00:06:21,960 --> 00:06:24,400 Speaker 1: I think this is why it is quite compelling to 115 00:06:24,400 --> 00:06:28,240 Speaker 1: think about whether statistics may be more useful for people. 116 00:06:28,279 --> 00:06:31,000 Speaker 1: I'm a journalist, I look at social science regularly in 117 00:06:31,080 --> 00:06:34,000 Speaker 1: my job. I can say that personally, statistics would have 118 00:06:34,040 --> 00:06:36,400 Speaker 1: been more helpful for me. Why don't you do both? 119 00:06:36,520 --> 00:06:38,280 Speaker 1: I mean, I mean that would be the I can 120 00:06:38,880 --> 00:06:41,479 Speaker 1: you know the ghost of the Keen family, Michael McKeith saying, 121 00:06:41,680 --> 00:06:45,400 Speaker 1: you're totally right, Dana, do statistics, don't do econometrics. There's 122 00:06:45,400 --> 00:06:48,560 Speaker 1: a real debate there, but a lot of people would 123 00:06:48,600 --> 00:06:52,200 Speaker 1: say for x percent of kids, doing both is the 124 00:06:52,240 --> 00:06:56,400 Speaker 1: way to go, almost a requirement. But yeah, I think 125 00:06:57,839 --> 00:06:59,760 Speaker 1: I think that's a great argument, and I think in 126 00:06:59,760 --> 00:07:02,599 Speaker 1: an ideal world that is what would happen. But I 127 00:07:02,640 --> 00:07:05,039 Speaker 1: think in the world that we have, there's just not 128 00:07:05,120 --> 00:07:07,520 Speaker 1: a lot of evidence that algebra two is being taught 129 00:07:07,600 --> 00:07:09,640 Speaker 1: very well. And I talked about that a little bit 130 00:07:09,680 --> 00:07:13,720 Speaker 1: in my own article American public school teachers Kate twelve. 131 00:07:14,280 --> 00:07:17,320 Speaker 1: A lot of them are themselves math phobic, and they 132 00:07:17,480 --> 00:07:20,600 Speaker 1: don't have a lot of good experiences themselves as mass. 133 00:07:20,640 --> 00:07:23,800 Speaker 1: So it's this difficult chicken and egg crop. How do 134 00:07:23,880 --> 00:07:26,640 Speaker 1: we improve algebra two if our teachers don't like it, well, 135 00:07:26,640 --> 00:07:28,280 Speaker 1: we have to make our teachers better. Who's going to 136 00:07:28,320 --> 00:07:30,320 Speaker 1: help them get better? It's very hard. When you were 137 00:07:30,320 --> 00:07:32,480 Speaker 1: a kid, Mike, did you use tutors? Did your parents, 138 00:07:32,520 --> 00:07:34,440 Speaker 1: you know, grab you on a Thursday afternoon and say 139 00:07:34,480 --> 00:07:36,840 Speaker 1: shut up, sit down, and you got to learn more? 140 00:07:37,160 --> 00:07:39,840 Speaker 1: We didn't use tutors, we use rulers. Well, we did both, 141 00:07:41,200 --> 00:07:45,520 Speaker 1: and they were Danta, Dana. They weren't metric rulers. They 142 00:07:45,520 --> 00:07:49,080 Speaker 1: were inch rulers. Is well, what is your prescription? We 143 00:07:49,160 --> 00:07:53,040 Speaker 1: got a nationwide, worldwide audience, Dana. What is your prescription 144 00:07:53,080 --> 00:07:55,560 Speaker 1: that can be applied? And I'll let you name the 145 00:07:55,600 --> 00:08:00,640 Speaker 1: grade in Tulsa, Oklahoma, in San Francisco, in a wealthy 146 00:08:00,720 --> 00:08:05,640 Speaker 1: suburb outside Washington, or a tough, blue collar suburb outside Boston. 147 00:08:06,000 --> 00:08:10,760 Speaker 1: What's the equal prescription? From Dana Goldstein? M. I think 148 00:08:10,800 --> 00:08:14,240 Speaker 1: that what I argue for is multiple pathways. So for example, 149 00:08:14,280 --> 00:08:19,920 Speaker 1: it's excuse me, thank you for saying that. Yeah, yeah, 150 00:08:19,960 --> 00:08:22,080 Speaker 1: I mean I think what what I think we need 151 00:08:22,120 --> 00:08:24,320 Speaker 1: to see in the high school level is if algebra 152 00:08:24,360 --> 00:08:26,760 Speaker 1: two is not working for someone, perhaps they've already taken 153 00:08:26,800 --> 00:08:29,480 Speaker 1: it and failed. Because many students take this class over 154 00:08:29,600 --> 00:08:32,320 Speaker 1: and over again and continue to fail, there needs to 155 00:08:32,360 --> 00:08:34,400 Speaker 1: be some other type of math that they can turn 156 00:08:34,480 --> 00:08:37,840 Speaker 1: to to really grasp the way numbers operate in the 157 00:08:37,840 --> 00:08:43,240 Speaker 1: world without necessarily having to do the ad more abstract 158 00:08:43,400 --> 00:08:46,920 Speaker 1: what what what age? Is a tip point? I think 159 00:08:46,960 --> 00:08:48,599 Speaker 1: that it would be good to provide this at the 160 00:08:48,679 --> 00:08:51,320 Speaker 1: high school level, but I think we need to focus 161 00:08:51,920 --> 00:08:54,720 Speaker 1: on the front end as early as preschool and making 162 00:08:54,760 --> 00:08:57,840 Speaker 1: our math education a lot stronger in this country. We 163 00:08:57,880 --> 00:08:59,840 Speaker 1: need to work with teachers to be able to do that, 164 00:09:00,360 --> 00:09:02,600 Speaker 1: because what a lot of what we're focused on on 165 00:09:02,760 --> 00:09:06,880 Speaker 1: in America with math is just solving equations over and 166 00:09:06,920 --> 00:09:09,120 Speaker 1: over and over again. I think all of us will 167 00:09:09,160 --> 00:09:12,320 Speaker 1: remember this from our own education. And what one expert 168 00:09:12,360 --> 00:09:15,359 Speaker 1: says is that this is like learning to spell without 169 00:09:15,400 --> 00:09:17,959 Speaker 1: knowing what the word means. I'll go with that. But 170 00:09:18,320 --> 00:09:20,640 Speaker 1: the how do you respond to Singapore math or Asian 171 00:09:20,720 --> 00:09:26,080 Speaker 1: excellence in mathematics through wrote memorization. It's not necessarily that 172 00:09:26,080 --> 00:09:29,839 Speaker 1: that's solely a function of wrote memorization. Kids next in 173 00:09:29,840 --> 00:09:34,000 Speaker 1: those countries understand a lot more how this math relates 174 00:09:34,040 --> 00:09:36,320 Speaker 1: to everyday life. For example, I tell a story in 175 00:09:36,360 --> 00:09:40,000 Speaker 1: my article I took I took Calculus. I struggled to 176 00:09:40,080 --> 00:09:42,040 Speaker 1: get to be in that course. I did not know 177 00:09:42,120 --> 00:09:46,520 Speaker 1: that a derivative representative change over time. That's a simple 178 00:09:46,600 --> 00:09:49,880 Speaker 1: concept that I shouldn't have understood having passed the class. 179 00:09:49,920 --> 00:09:52,480 Speaker 1: This is a problem with how Americans are being taught math. 180 00:09:53,080 --> 00:09:55,760 Speaker 1: This has been danticals thank you so much. I to 181 00:09:55,840 --> 00:09:59,040 Speaker 1: you what you have one more question now if we 182 00:09:59,080 --> 00:10:02,160 Speaker 1: don't have time for Yeah, okay, Dana, this has been fabulous. 183 00:10:02,200 --> 00:10:04,240 Speaker 1: Thank you so much and for your good work at Slate. 184 00:10:04,760 --> 00:10:08,880 Speaker 1: Her book, The Teacher wars Uh was controversial, to say 185 00:10:09,280 --> 00:10:12,679 Speaker 1: the least. The reason the reason this was so good is, Mike, 186 00:10:12,800 --> 00:10:15,640 Speaker 1: you don't know this, but at the bottom of the 187 00:10:15,760 --> 00:10:19,720 Speaker 1: barge canal in western New York, they take the water 188 00:10:19,800 --> 00:10:22,120 Speaker 1: out of it every year, but they leave in like 189 00:10:22,200 --> 00:10:26,360 Speaker 1: four ft, which was enough to cover Corey Johnson's geometry 190 00:10:26,400 --> 00:10:33,160 Speaker 1: textbook tossed. It was an arc over a roll, rolled 191 00:10:35,120 --> 00:10:39,800 Speaker 1: benefits jumping. Stay tuned for Corey Johnson and Carol Master 192 00:10:39,880 --> 00:10:42,840 Speaker 1: on the Bloomberg advantage. They will take you through algebra 193 00:10:42,920 --> 00:10:46,880 Speaker 1: to algebra, so they will Corey Johnson Master coming up. 194 00:10:46,920 --> 00:10:49,120 Speaker 1: I hope you enjoyed that. Dana Goldstein, I really urge 195 00:10:49,120 --> 00:10:53,200 Speaker 1: you to look at her hugely controversial Slate article on 196 00:10:53,360 --> 00:10:57,080 Speaker 1: algebra high expectations in the common Corey. It had a 197 00:10:57,120 --> 00:11:01,920 Speaker 1: firestorm of social media response over the weekend. This has 198 00:11:01,960 --> 00:11:05,160 Speaker 1: been a fabulous week. We say thank you to our 199 00:11:05,200 --> 00:11:08,240 Speaker 1: team everybody. But why u n and ken Fellow, you 200 00:11:08,559 --> 00:11:10,800 Speaker 1: have a great weekend. This is Bloomberg's surveillance