If you are a teacher searching for educational material, please visit PBS LearningMedia for a wide range of free digital resources spanning preschool through 12th grade. Sitting in a Panera in Boston’s financial district in early July with Jeremy Grantham, I suddenly found myself considering how I might safeguard my. Der Zauberer von Oz (1. Quotes. Dorothy. . It finally lands, then turns into Glinda the Good Witch wearing a spectacular white dress and crown, holding a wand. I know we're not in Kansas! Wizard of Oz. Why, anybody can have a brain. That's a very mediocre commodity. Every pusillanimous creature that crawls on the Earth or slinks through slimy seas has a brain. Back where I come from, we have universities, seats of great learning, where men go to become great thinkers. And when they come out, they think deep thoughts and with no more brains than you have. Loving the new system. Especially the flagging, seems like a great way to try to get that Sgt Awesome character off of this place. Although he does make me laugh on a.But they have one thing you haven't got: a diploma. Cowardly Lion. Courage! What makes a king out of a slave? What makes the flag on the mast to wave? What makes the elephant charge his tusk in the misty mist, or the dusky dusk? What makes the muskrat guard his musk? What makes the sphinx the seventh wonder? What makes the dawn come up like thunder? What makes the Hottentot so hot? What have they got that I ain't got? Dorothy, Scarecrow, Tin Woodsman. Courage! Cowardly Lion. You can say that again! Jaws (1975) Quotes on IMDb: Memorable quotes and exchanges from movies, TV series and more. Ticking Environmental Time Bombs. The ships have shed more than 20 tons of toxic paint debris that have settled into bay sediments, where they will cause problems. Have you ever wondered what are the 10 most violent mafia movies of all time? Everyone likes mobster movies, but what ones really bring the true violent nature of. The Wizard of Oz (1939) Quotes on IMDb: Memorable quotes and exchanges from movies, TV series and more. Cowardly Lion. I *do* believe in spooks, I *do* believe in spooks. I do, I do, I do, I *do* believe in spooks, I *do* believe in spooks, I do, I do, I do, I *do*! Wicked Witch of the West. Ah! You'll believe in more than that before I'm finished with you. Auntie Em. Help us out today and find yourself a place where you won't get into any trouble! Dorothy. A place where there isn't any trouble. Do you suppose there is such a place, Toto? It's not a place you can get to by a boat or a train. Behind the moon, beyond the rain.. What happened was just this.. Munchkin. And, oh, what happened then was rich! I'll see you get safely to the Wizard now, whether I get a brain or not. Stuff a mattress with me. Tin Woodsman. I'll see you reach the Wizard, whether I get a heart or not. Let her try and make a beehive out of me! And it's funny, but I feel as if I'd known you all the time, but I couldn't have, could I? Scarecrow. I don't see how. You weren't around when I was stuffed and sewn together, were you? Tin Woodsman. And I was standing over there, rusting for the longest time. Dorothy. Still, I wish I could remember, but I guess it doesn't matter anyway. We know each other now, don't we? Scarecrow. That's right. Dorothy. I'm frightened, Auntie Em! We're trying to find you! Dorothy. I'm here in Oz, Auntie Em! I'm locked in the witch's castle, and I'm trying to get home to you, Auntie Em! I'll give you Auntie Em, my pretty! Heh heh heh heh heh heh heh! Guardian of the Emerald City Gates. Who rang that bell? Dorothy, Scarecrow, Cowardly Lion, Tin Woodsman. Guardian of the Emerald City Gates. Can't you read? Scarecrow. Read what? Guardian of the Emerald City Gates. The notice! Dorothy. What notice? Guardian of the Emerald City Gates. It's on the door - as plain as the nose on my face! Now, state your business! Guardian of the Emerald City Gates. But nobody can see the Great Oz! Nobody's ever seen the Great Oz! Even I've never seen him! Dorothy. Well, then how do you know there is one? Guardian of the Emerald City Gates. Oh, you're wasting my time! I've got to see the Wizard! The Good Witch of the North sent me! Guardian of the Emerald City Gates. Prove it! Scarecrow. She's wearing the ruby slippers she gave her. Guardian of the Emerald City Gates. Oh, so she is! Well, bust my buttons! Why didn't you say that in the first place? That's a horse of a different color! Hunk. Now look here, Dorothy, you ain't using your head about Miss Gulch. You'd think you didn't have any brains at all. Dorothy. I have so got brains. Hunk. Well, why don't you use them? When you come home, don't go by Miss Gulch's place. Then Toto won't get in her garden, and you won't get in no trouble. Dorothy. Oh Hunk, you just won't listen, that's all. Hunk. Well, your head ain't made of straw, you know. Can Jeremy Grantham Profit From Ecological Mayhem? Grantham, who is 7. He marked up his draft with a pen as he went along, departing from the text at times to emphasize a point. The problem is with us and our focus on short- term growth and profits, which is likely to cause suffering on a vast scale. With foresight and thoughtful planning, this suffering is completely avoidable. I find that they have the opposite, equally mind- stretching effect on a passive investor like me. While it may be too late to . And, crucially, the consequences will be unevenly distributed, creating angles for you to make money and look out for your interests, however you define them. He was right about indexing, an investment strategy he took a lead role in inventing, when everyone else assumed that you should try to beat the market rather than join it, and about the long rally in small- cap stocks in the early 1. He was also, well in advance, right about one bubble after another: Japan in 1. U. S. As a stock picker, he made his share of losing bets. Jack Meyer, who runs Convexity Capital Management and is the former head of Harvard Management Company, told me a story about Grantham speaking at a conference in the 1. He gets up and says, . In times of great bullishness, he. What sets him apart is what Ritholtz calls . When he reminds us that modern capitalism isn. Leaning forward in his chair by the windows, he rested his left hand in a confiding gesture on the forearm of a stone Buddha from the eighth- century temple complex at Borobudur in Indonesia. The statue was too pricey when he first saw it at an auction house, but after the Asian financial crisis devalued the asset class of regional antiquities, he made a lowball offer that was immediately accepted, which means, he said, he could have had it for even less. Behind Grantham and the semi- discount Buddha, jets climbed away from Logan Airport. Docked at Rowes Wharf, just below his windows, were yachts worthy of James Bond villains. Grantham leads what he calls . Other than what I need for living, it all goes into the foundation. It supports the Environmental Defense Fund, the World Wildlife Fund and other such organizations, institutes for the study of climate change that Grantham helped establish at Imperial College London and the London School of Economics and the Metcalf Institute, which awards the $7. Grantham Prize for Excellence in Environmental Journalism. We found our separate ways to it. One son, Oliver, buys forests for Harvard Management Company; another, Rupert, manages forests in Massachusetts; his daughter, Isabel, helps run an E. D. F. It pushed anything having to do with the environment down 1. Unemployment and interest in environmental issues move inversely. Grantham believes that the best approach may be to recast global warming, which depresses crop yields and worsens soil erosion, as a factor contributing to resource depletion. Finite resources is investment advice. They roll the dice bigger and quicker than most. In this industry people want to be right this quarter. Often, they read the letter, and they. He attended the University of Sheffield and then Harvard Business School. In the summer of 1. American Raceways, a big- talking company that owned a single racetrack. When I came back from vacation, it was $2. I sold everything else and bought 6. By Christmas the price was at $1. I jumped off when it fell to around $4. His historical study of more than 3. A bump in sales or some other impressive development causes people to get excited. When they do, the price of that asset class . People want to hear good news; they tend to be bad with numbers and uncertainty, and to assume that present conditions will persist. In the financial industry, the imperative to minimize career risk produces herd behavior. As John Maynard Keynes, one of Grantham! In his April letter, . From 2. 00. 2 until now, this entire decline was erased by a bigger price surge than occurred during World War II. Statistically, most commodities are now so far away from their former downward trend that it makes it very probable that the old trend has changed . Prices may always revert to the mean, but the mean can change; that. As Grantham tells it, oil went first. For a century it steadily returned to about $1. Metals and nearly everything else . We all need to adjust our behavior to this new environment. It would help if we did it quickly. The argument often circles back to the bet made in 1. Paul Ehrlich, who foretold catastrophic scarcity caused by overpopulation, and the economist Julian Simon, who argued that any short- term increase in resource prices caused by population growth will stimulate inventors and entrepreneurs to find new ways to exploit those resources, lowering prices in the long run. The two men picked five commodities and wagered on whether their prices, taken as an indicator of scarcity, would be higher or lower in 1. Simon won, 5- 0, even though the world. Grantham concludes that the longer- run story of the bet . Sounding the alarm and bailing out well before the peak of one bubble after another has cost him profits and clients. We have the resources to gracefully handle the transition, but we won.
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Daylight saving time (DST) was observed at Toronto, Ontario during 1. There were two time changes during 1. DST started on Sunday April 7, 1. EST (GMT- 5) to EDT (GMT- 4). The first leap year before 1. They fall on nearly the same day each year, with differences of a day or two depending on the year. In 1. 99. 1 they occurred on. Spring Equinox. Thursday, 2. March 1. 99. 1. For reference, on that day the average high temperature is 7. The hottest month of 1. July with an average daily high temperature of 8. The high temperature that day was 8. In relative terms the warmest month was May, with an average high temperature of 7. The month of June had the largest fraction of warmer than average days with 7. The bar at the top of the graph is red where both the daily high and low are above average, blue where they are both below average, and white otherwise. For reference, on that day the average low temperature is 1. The coldest month of 1. January with an average daily low temperature of 1. The low temperature that day was - 6. In relative terms the coldest month was September, with an average low temperature of 4. The month of September had the largest fraction of cooler than average days with 6. The hourly temperature measurement is color coded into meaningful temperature bands: frigid is purple (below 1. From top (most blue) to bottom (most gray), the categories are clear, mostly clear, partly cloudy, mostly cloudy, and overcast. Pink indicates missing data. Outside of the United States clear skies are often reported ambiguously, leading them to be lumped in with the missing data. The bar at the top of the graph is gray if the sky was cloudy or mostly cloudy for more than half the day, blue if it is clear or mostly clear for more than half the day, and blue- gray otherwise. The longest spell of cloudy weather was from November 2. December 1. 1, constituting 2. The sky cover is color coded: from most blue to most gray, the categories are clear, mostly clear, partly cloudy, mostly cloudy, and overcast. Pink indicates missing data. Outside of the United States clear skies are often reported ambiguously, leading them to be lumped in with the missing data. Brain Teaser time on DU. Latest: Greatest: Lobby: Journals: Search: Options: Help: Login.This is common for weather stations located outside of the United States, and for a small subset of stations in the United States that are located at lesser used and smaller airports. Such events do not always correspond to measured quantities of liquid equivalent precipitation, such as when the event is near by not at the station, or in the case of solid precipitation that does not melt in the collection basin. There were 2. 4 hourly weather reports that day (out of a maximum of 2. The month with the most precipitation observations was January, with 2. From the bottom up, the categories are thunderstorms (orange); heavy, moderate, and light snow (dark to light blue); heavy, moderate, and light rain (dark to light green); and drizzle (lightest green). Not all categories are necessarily present in this particular graph. The faint shaded areas indicate climate normals. The bar at the top of the graph is green if any precipitation was observed that day and white otherwise. The month with the largest fraction of days without observed precipitation was June, with 6. The color- coded categories are thunderstorms (orange); heavy, moderate, and light snow (dark to light blue); heavy, moderate, and light rain (dark to light green); drizzle (lightest green); freezing rain and sleet (light and dark cyan); snow grains (lightest blue); hail (red); fog (gray); and haze (brownish gray).
PeterShop > Catalogue > Vladimir Nahabcev > Traces of Rain (Sled dozhdya). For the purposes of this analysis, we include thunderstorms even though some thunderstorms are not accompanied by liquid precipitation. The day with the largest number of those reports was April 2. The bar at the top of the graph is green if any liquid precipitation was observed that day and white otherwise. Both are subject to erroneous reports, but the latter is significantly less reliable. Please bear this in mind when reading this section. These reports do not necessarily correspond to accumulation. The month of 1. 99. Traces of Rain - (Sled dozhdya); dirigida por Vladimir Nakhabtsev Ml. Aleksandr Bobrovsky, Juozas Budraitis. Sugar Maples Sicken Under Acid Rain's Pall Published: May 15, 1991. Acid rain has been a continual source. January, with a total of 1. The day with the largest number of those reports was February 1. The bar at the top of the graph is blue if there was snow fall observed that day and white otherwise. It is rarely reported more often than every six hours, it is often skipped, it is often reported erroneously, and a snow depth of zero is normally not distinguished from a missing report. These issues (particularly the last one) make it hard to collect statistics on snow depth with any confidence. To overcome this issue, we base our statistics on only those reports with present non- zero measurements of snow depth. Reports that fail to mention snow that is present, and reports that do not report snow depth because there is no snow on the ground are excluded because they cannot be distinguished from one another. The last day of the snow season with snow reported on the ground was March 2. The day with the deepest snow depth was January 1. The longest stretch of time during which there was always snow on the ground was from January 1 to January 1. The bar at the top of the graph is blue if there was snow on the ground that day and white otherwise. Hot and humid days feel even hotter than hot and dry days because the high level of water content in humid air discourages the evaporation of sweat from a person's skin. Applying that observation, the least humid month of 1. June with an average daily low humidity of 4. December with an average daily low humidity of 6. Please see the next section for continued discussion of this point. It is therefore also related to the rate of evaporation of liquid water. Since the evaporation of sweat is an important cooling mechanism for the human body, the dew point is an important measurement for understanding how dry, comfortable, or humid a given set of weather conditions will feel. The least windy month was May, with an average wind speed of 7 mph. In the United States, visibilities that are greater than or equal to 1. The month with the lowest average visibility was February, with an average visibility of 1. With an average visibility of 1. September had the highest average visibility. If no such cloud layer exists then the ceiling is unlimited and no value is reported. The month with the lowest average cloud ceiling was December, with an average cloud ceiling of 5. The month of June has the highest average cloud ceiling, with an average cloud ceiling of 1. Missing data or days with insufficient clouds to define a cloud ceiling are shown as white columns. Sled dozhdya (1. 99. |
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