Technology used to develop daily weather reports. From politics and prose bookstore in washington dc this runs one hour. [inaudible conversations] good evening everyone of the coowner of politics and prose welcome thank you for coming and congratulations on getting here what a great day to have a book about the weather. If yousn have been following the weather you will have noticed at least two things, first is getting weirder and wilder with bigger storms and freezing temperatureses and greater extremes and second, forecasters are Getting Better at predicting what is about to hit us they still dont get it right 100 percent of the time so with the timeliness of their reports. These days not only of one weather model but of multiple ones simulating the atmosphere the north americanri model the european model, and a number of others forecasting not just todays weather or tomorrow that over the next ten days and beyond. Getting interestedlun he wasnt satisfied with the past explanation to
And wilder with bigger storms, hotter and more freezing temperatures and greater extremes at seemingly all times of the year. And second, that forecasters are Getting Better at predicting whats about to hit us. They still dont get it right 100 of the time, of course, but their act rahs is city has definitely accuracy has definitely improved and so has the timelessness of their reports. In fact, these days were aware not only of one weather model, but of multiple ones simulating the future space of the atmosphere. Theres a north american model, the european model, the global one and a number of others, and theyre forecasting not todays weather or tomorrows, but weather over the next ten days and beyond. Andrew blum got interested in this stuff. He wasnt satisfied with the past explanations that attributed the advances in weather science simply to faster supercomputer ands better satellites. Andrews a journalist with a knack for making complex systems accessible as he did in his previous
Currencies losing their luster. Lets have a look at this chart. This is telling you about the damage that has been done to some extent with regards to china. Ofs is what we have in terms official pmi. The large ones going into negative. Overall, that is everything. Showing contraction here for companies. More company pmis. All of these have entered into negative terrain. They inhabit. Lets get Market Action. What are you making of all of this . What about this deal . The g 39, i think we get that risk doing that you would have anticipated. A lot more to run. I think market is missing the point. It has nothing to do with the g20 that we had over the weekend. Fed cuttingout the cycle that we are about to get into. That,d with regards to was it a case that we got all of this dovish language, looking at the damage done by this trade conflict . Maybe they will dial back on that dovish term . That is obviously the risk. It is just a perspective of when, rather than is. There could be a lot l
Following the weather so first is getting weirder and wilder and greater extremes and second the forecaster is better at predicting what will get us. But their accuracy has definitely improved and so has the timeliness of their reports. These days not only one weather model but those simulating the future space of the atmosphere the north american model, european model and those over the next ten days. And then to get interested in this and then supercomputers with a knack of making complex systems accessible and he saw a similar kind of story. His new book, the weather machine is an engaging book behind the scenes International Collaborative effort to recount the forecasting to the Un World Meteorological Organization with a satellite in supercomputers to make up the conversation with one of the forecasters the editor of Washington Post in those fascinated by the weather growing up in the dc region and to recall this for year the chief meteorologist from the local nbc affiliate to stu
Halfway through 2019 its the last trading day of the first half how has tech performed what about all of these recent ipos bob pisani has some of those answers and joins us on set. You know what i love . I love how wrong the consensus is humans are terrible at predicting the future and nobody is worse than wall street at it, so remember when we started in 2000, back in january, everybody said, the ipo market, oh, theres going to be 200 of them. Everybodys going to go public no one will want all of this stuff. Theyll price this stuff too high and the only thing anybody wants is uber and lyft are they sure they want those . Everything was wrong. Look at the numbers. Were at the first half of the year with. 62 in the Second Quarter, 25 billion. It was the most active quarter by deal count in four years. It was the most capital raised in five years. And look at the 30 the average return on ipo. Thats twice what it historically has been. So the answer was, oh, it turns out theres people dyi