This scenario furthers the point of how this space is a growing ecosystem comprised of companies, startups, and individuals that are all contributing everything in order to grow the technology.
Not exact matches
Not surprisingly, NERA shows
far superior economic outcomes for this
scenario, with U.S. GDP decreasing by half of one percentage
point compared to a no - policy
scenario in 2025.
I seem to remember early last season going through this same
scenario, when we were even
further behind the League leaders (in fact relegation was mentioned at one
point) but our «despicable manager» turned it around, brought Arsenal all the way back up to Third Place, and helped us to retain the FA Cup before the seasons end.
I guess my
point is it's way too early to know the details, but it does nt require any
far fetched
scenario.
Only four
points separate the second placed United and fifth placed Tottenham which makes it a very exciting
scenario for rest of the season as
far as top four finish is concerned.
Juve knew that they couldn't afford to drop any
points, a
scenario which became
far more likely had they opened themselves up to a counter-attack while any positive result would become valuable to Lazio's Champions League push.
A. Cho's story «Commitments, ideology clash over research spending» (News Focus, 11 November 2011, p. 754)
points out
far - reaching priority choices that may have to be made by the Office of Science in a flat budget
scenario that can not accommodate ongoing domestic projects as well as the increasing contribution to the $ 23 billion international fusion experiment, ITER, in France.
At a 10 - year Treasury yield of 1.7 %, interest on reserves of 0.25 %, and a monetary base now at about 18 cents per dollar of nominal GDP (see Run, Don't Walk),
further purchases of long - term Treasury securities by the Fed would produce net losses for the Fed in any
scenario where yields rise more than about 20 basis
points a year, or the Fed ever has to unwind any portion of its already massive positions.
But his
point is to take the
scenario out
far enough so that you consider a period of high - cost care.
I get your
point, but no matter where the developed markets stand people can always paint a bad
scenario for emerging markets... and yet their fundamentals, their returns & their prospects are
far better!
A functioning market would make this more apparent (e.g., if the market price is equal to the IPCC midpoint
scenario), of course, but it appears to me that in the debate motivated by James so
far that there is no expectation that emissions reductions policies will have a discernable effect on the climate (as measured by GAT) by 2030 (the terminal
point of the bet).
Then the weak
point of the
scenarios used in SRES is that they all rely upon a continuous economic growth throughout the century - which is by no means granted -, and that they all exceed by
far the amount of proven reserves for at least one fuel — which can hardly be considered as a likely event, by definition of «proven».
He references this AMEG nonsense, presents it as valid science (although it is the
furthest thing from), grossly exaggerates articles to make a
point, and claims utter nonsense (6 °C by 2050, more than 100 % more than any credible institution predicts under any
scenario) and never backs up his claims with numbers (especially his feedbacks, apart from the AMEG / methane stuff).
The actual GHG radiative forcing in 2011 was approximately 2.8 W / m2, so to this
point, we're actually closer to the IPCC
FAR's lower emissions
scenarios.
At this
point, the most likely
scenario would be cold, wind - driven rain in the big coastal US cities, with up to a foot of snow stretching from inland New England as
far south as the Carolinas.
To
further illustrate this
point, Box 13.1 presents a simple example of climate
scenario construction based on climate projections.
As I said on another blog, what would be an interesting comparison would be a comparison of data to output from (e.g.) unmodified AR4 codes run
further forward to 2013 (or as recent as is practicable) using the actual forcings, starting with the exact run states of the models at the end of the verification period for AR4 (that is the end -
point where «known» forcings were used, rather than
scenarios).
All of the facts thus
far point towards two
scenarios — either Tuesday Morning fired Mason for a prohibited ground of discrimination, or they handled a very sensitive situation with poor judgment.
However, the situation is
far more problematic in
scenarios where the balance of the life insurance policy loan is approaching the cash value, or in the extreme actually equals the total cash value of the policy — the
point at which the life insurance company will force the policy to lapse (so the insurance company can ensure full repayment before the loan collateral goes «underwater»).
The confidentiality relating to offer substance (multiple offer
scenarios) from an industry perspective and in particular at the
point when all offers have been presented is
further reinforced by the following:
To
further illustrate this
point, consider a couple of real - life, everyday
scenarios in which a typical real estate agent may find himself.