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Bloomberg's Talev on Clinton Getting Under Trump's Skin (Audio) · Bloomberg Intelligence

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  Speaker 1: giving us a little bit of a wrap up of
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  Speaker 1: That's a very interesting question, isn't it. PM. Let's get
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  Speaker 1: right to Charlie Pelton news room. He's got a Bloomberg
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  Speaker 1: about a Trump presidency and the Federal Reserve. Dana Peterson
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  Speaker 1: is an economist at City Group Global Markets, and she
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  Speaker 1: was interviewed this morning on Bloomberg Television. Well, Mr Trump
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  Speaker 1: two point seven percent to forty four sixty eight. And
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  Speaker 1: now let's take a look at some of the other
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  Speaker 1: stories making news. Thank you Charlie from the Bloomberg News Room.
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  Speaker 1: everything for every one. Go to m b USA dot
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  Speaker 1: com for details. President Obama says last night's presidential debate
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  Speaker 1: demonstrated a sharp contrast between the candidates. Speaking on on
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  Speaker 1: air with Ryan Seacrest, the President said he encounter shows
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  Speaker 1: Donald Trump, in his words, doesn't have the preparation, the temperament,
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  Speaker 1: or the core values to be president. I'm admittedly biased.
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  Speaker 1: I have worked with Gillary. I know her. Uh. She
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  Speaker 1: is well prepared. She's got the right temperament for the job.
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  Speaker 1: She's well respected around the world. She's serious, she does
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  Speaker 1: her homework. Last night's Face Off delivered a likely contender
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  Speaker 1: for one of the year's biggest TV events, but Bloomberg's
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  Speaker 1: Bomb Moon reports we don't yet know if it was
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  Speaker 1: the most watch debate ever. The initial partial ratings from ABC, CBS, NBC,
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  Speaker 1: and Fox or of over the first Obama Romney debate
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  Speaker 1: four years ago, which was watched by about forty six
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  Speaker 1: million people. According to The Hollywood Reporter, That puts this
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  Speaker 1: event on track to be a record center or very
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  Speaker 1: close to an all time high, though it may fall
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  Speaker 1: short of the one million mark. Those Big four overnight
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  Speaker 1: ratings don't include p yes, cable, online streaming, or other sources.
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  Speaker 1: Those estimates should come tomorrow. The first Carter Reagan debate
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  Speaker 1: in the nineteen eight election was watched by a record
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  Speaker 1: eighteen million viewers. Bob Moon, Bloomberg, Radio, and public school
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  Speaker 1: thank you and again recapping US equities are advancing SMP
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  Speaker 1: five hundred index up nine, a gain of six tenths
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  Speaker 1: of one percent. I'm Charlie Pellett and that's a Bloomberg
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  Speaker 1: business flash. This is taking stock with Bim Fox and
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  Speaker 1: Kathleen Hayes on Bloomberg Radio. Dal Trump had one job.
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  Speaker 1: Don't take the bait, but let Hillary Clinton get under
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  Speaker 1: his skin minutes into their first presidential debate Monday night,
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  Speaker 1: so writes Margaret Talent, Bloomberg News White House Correspondent. In
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  Speaker 1: her piece, co written was Sahil Kapoor on the Bloomberg
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  Speaker 1: Today on Bloomberg dot Com. Margaret joins us, Now if
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  Speaker 1: it's interesting, Margaret, because after the Democratic National Convention, when
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  Speaker 1: the Muslim American UH family spoke about their son who
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  Speaker 1: was killed in action, there was a very interesting peace
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  Speaker 1: online comparing Hillary Clinton to a very skilled matador who
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  Speaker 1: had manipulated the bull in the ring Donald Trump to
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  Speaker 1: take the bait. Is your sense according to your story,
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  Speaker 1: it seems it is that this happened again last night.
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  Speaker 1: It's so interesting that you compare the two, because I
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  Speaker 1: think we are seeing a lot of that today in
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  Speaker 1: terms of uh, Mr Trump's treatment of Alicia Machado, this
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  Speaker 1: former Miss Universe contestant who at the time when Trump
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  Speaker 1: oh the Miss Universe pageant, he was critical of her
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  Speaker 1: weight gain and rather than kind of, you know, I say, hey,
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  Speaker 1: that was a long time ago, I know, apologize or
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  Speaker 1: my statements, or saying something like books she's entitled her opinion,
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  Speaker 1: let's move on, sort of doubling down on her, saying, hey,
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  Speaker 1: you know the business man and there was a big
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  Speaker 1: problem she gave the massive amount of weight. And this
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  Speaker 1: does have sort of echoes to what happened there with
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  Speaker 1: the con family, where these are grieving parents, obviously entitled
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  Speaker 1: to their opinions, and rather than just sort of let
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  Speaker 1: it go, he decided to engage with them and uh
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  Speaker 1: and criticize them for criticizing him. That didn't bode well
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  Speaker 1: for him in those days after the convention, um, you know,
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  Speaker 1: and Hillary Clinton is hoping to kind of take maximum
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  Speaker 1: advantage of that today coming out of that debate, Margaret,
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  Speaker 1: What are negative emotion words? Uh? And what and what
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  Speaker 1: are they? What are they and why are they noteworthy?
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  Speaker 1: They're noteworthy for two reasons. Uh. One is to watch
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  Speaker 1: the pace and the sort of propensity with which they're
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  Speaker 1: used in the debate and in others because they give
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  Speaker 1: you a sense of how a candidate is trying to win.
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  Speaker 1: Are they trying to sell a positive message of themselves
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  Speaker 1: or a negative message of their opponent on both fronts.
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  Speaker 1: What you see from sort of an initial survey of
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  Speaker 1: you know, the words use last night is that Donald
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  Speaker 1: Trump uh was turning increasingly to negative words as as
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  Speaker 1: the debate got worse for him. And this is look,
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  Speaker 1: this has been actually a tactic of both phenomenes, because
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  Speaker 1: neither one of them is particularly like beloved by anyone
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  Speaker 1: outside of a core base, right and so they've both
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  Speaker 1: found up until now more success and kind of uh
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  Speaker 1: addressing the other one down raising concerns about the other
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  Speaker 1: one than in burnishing their own positive image. Hillary Clinton
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  Speaker 1: may have an opportunity coming out of this debate to
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  Speaker 1: sell a more positive image of herself, both to the
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  Speaker 1: places where she should be strong, like the woman's vote,
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  Speaker 1: and the places where she's really had trouble men, middle
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  Speaker 1: class voters, working class voters, and young people. She's trying
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  Speaker 1: to see that windows now. She hasn't had much success
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  Speaker 1: until now. You know, Margaret, I just have a hard
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  Speaker 1: time figuring out what people really think about who won,
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  Speaker 1: and I'll tell you why. For example, are Bloomberg News
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  Speaker 1: story quotes, CNN snap poll finding a six voters who
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  Speaker 1: watched the Clinton won the debate for Trump. Now I'm
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  Speaker 1: looking at another thing, the Drudge Reports online vote. Let's
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  Speaker 1: see said trump one. Uh, if you look at a
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  Speaker 1: Fox News online vote, trump won with of respondents. Is
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  Speaker 1: there a definitive pole or polls that we can say, well,
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  Speaker 1: this wasn't somehow self selective in terms of the nation's
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  Speaker 1: view of who won. Or is it just impossible because
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  Speaker 1: everyone so polarized. Well, certainly when you have online or
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  Speaker 1: sort of instant polling, who's participating, you know matters. Typically
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  Speaker 1: it takes a few days for the results of something
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  Speaker 1: like this to really settle in terms of how much
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  Speaker 1: does it shape people thinking going forward. The one area
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  Speaker 1: where Trump did do very well in the debate was
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  Speaker 1: sort of that first twenty minutes to thirty minute window
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  Speaker 1: where he was going after Hillary Clinton aggressively on her
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  Speaker 1: support of trade and her husband's support of trade policies
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  Speaker 1: during his time as president, and the idea that that
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  Speaker 1: had helped to undercut job stability ages in some key
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  Speaker 1: battleground states like Ohio and some places that Trump is
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  Speaker 1: hoping to take away from Clinton, Michigan, Wisconsin, that sort
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  Speaker 1: of thing, if that ends up being what stuck you
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  Speaker 1: could have I suppose a really sort of uh, you know,
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  Speaker 1: going against conventional wisdom. Uh. Look, if if Donald Trump
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  Speaker 1: is to make key games in key battleground states with
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  Speaker 1: formerly Democratic working class voters, then none of the rest
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  Speaker 1: of it matters. But the problem for him is that
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  Speaker 1: he actually needs to be picking up states, not just
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  Speaker 1: holding states from from Romney's performance in twelve and sort
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  Speaker 1: of the general thought coming out of this debate is
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  Speaker 1: that although he did well on sort of the trade, jobs,
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  Speaker 1: economy issues, uh, he bungled so many things when it
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  Speaker 1: comes to two women and minorities and and kind of
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  Speaker 1: maybe sort of centrist um moderate Republicans that he may
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  Speaker 1: have done himself more harm than good market. Just quickly, here,
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  Speaker 1: I'm going to give you a couple of states. Tell
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  Speaker 1: of your thoughts. Because it's Wisconsin, Illinois, Indiana, Pennsylvania and
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  Speaker 1: New hamps Sure, what is what is common? Democrats are
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  Speaker 1: likely to pick off some Senate seats. Yeah, look, those
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  Speaker 1: are all really interesting states for different reasons. Uh, the Democrats,
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  Speaker 1: if it came down to a very close race, New
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  Speaker 1: Hampshire could actually be very important and interesting. Democrats have
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  Speaker 1: to think about holding Pennsylvania for presidential purposes. Anything after that,
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  Speaker 1: it's gravy. Donald Trump's betting on two places that I
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  Speaker 1: would watch look at look at Florida and look at
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  Speaker 1: that kind of area right up by Michigan and Wisconsin
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  Speaker 1: for the Democrats. Uh, the sent its great, but the
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  Speaker 1: president and surprise and that was all about Still, thank
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  Speaker 1: you very much. Margaret tal of White House, correspondent for
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  Speaker 1: Bloomberg News, joining us from Washington, d C. Homes of
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  Speaker 1: Bloomberg's one and one oh five point seven h D two.
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  Speaker 1: You can follow Margaret on Twitter at Margaret Tala t
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