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Evaluate the nuclear deal from the bottom up

Whenever I see talk about the Iran deal, it is very easy to fall into a reactive mindset: “It’s good, so it must be bad!” and “It’s bad, so it must be good!”

After all, we have been told for some time now that “If you’re not part of the solution, you’re part of the problem.”, and the tactic for gaining acceptance of a bad idea is to make it seem like it’s for the good.

To approach the deal with some rigor, we should try to approach it from the bottom-up. That is:

1. When you start with the premise that the whole deal is a good idea, evaluate that premise.
2. When you start with the premise that the whole deal is a bad idea, evaluate that premise.
3. In any situation, when you start with a premise, evaluate the premise.

Putting those points together can often lead to mutually inconsistent results. The point is not to focus on where you start. Instead, the point is to focus on where you end. That is, if you start by thinking that something is good, but when you get to the end of the analysis, you see that something else is better, then you are not actually considering alternatives in the first place.

There will always be some semi-fanatic zealots who will not be satisfied no matter what. But given that, we should be able to deal with them pretty easily. And the more we can do to step away from the bandwagon and make an honest evaluation of all of the arguments, we may make some changes that are good for us.

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About the Author

Russell Gering is a Director at the Ocean County Institute of Technology and enjoys teaching everything from microscopy to math.

His first book, The Real Guide to the New Jersey LASIK Surgeon Handbook, has just been published by

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A few days after the federal government announced that it would not join the American Meteorological Society in a climate change report, the Toronto Star published an article by Ted Braun, a professor at the University of Toronto, and author of “Climate Cover-Up: The Crusade to Deny Global Warming and Freeze Public Debate.” “Worsened by weather extremes, reports omit link between climate change and heat waves,” read the article’s headline.

Mr. Braun opened by noting that a meteorologist had warned in 1976 that the Earth would be on the brink of a “nuclear winter” if the United States didn’t begin to reduce its nuclear weapons. “How the nuclear arsenal was handled reflects the history of climate change denial,” Mr. Braun wrote. “The deniers’ tactic is to claim that science didn’t exist, or that the consensus was manufactured for political reasons.”

The forces behind the deniers’ playbook are several: They are outraged about the prospect of any limits on greenhouse gas emissions, which they equate with Nazism. They are against the international conventions designed to protect the environment. They insist that only they are qualified to assess the science, and that others in the scientific community — including most climate scientists — are simply doing the work for political reasons. They say nothing will change if climate change is accepted as fact.

Look at Mr. Braun’s argument. It is flimsy, it is ridiculous and it is dangerous.

Mr. Braun quotes John McLean, the chief science officer of NOAA’s National Climate Data Center, as telling a Congressional hearing in 1975: “We are approaching a time when
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How to generate random number inside specific list?

I am writing a program in python that uses some kind of clustering. The program has lists of numbers and each list has a specific range of the generated number, for example:
class Clusters(object):
def __init__(self, num):
self.num = num
self.clusters = []
self.numbers = []

class MySelection(object):
def __init__(self):
self.clusters = Clusters(self.random.sampleint(10000))

For that, I need a way to generate random numbers inside specific list, so I can use the random number to generate different values depending on a list that I have. How do I generate such a number inside a specific list?
Thank you!

A simple solution would be just to generate the number you need, and then have your number take on a value based on what your range is. Your “random” random number generator function might look like:
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The political earthquake in Catalonia has left traditional parties deeply discredited, marking the death of a nearly 100-year-old model of political government in Spain, which has been shaken up over the past decade. A new citizen movement has now emerged, which is not seeking to set up a parallel state, but is merely demanding the right to decide their future.

In a nutshell, this film follows the story of how a movement against austerity began in Barcelona with a series of sit-ins, and was then stepped up by labour, student and young people. At the moment, the central government will not recognise their illegal actions, thus pushing the organisation into the international spotlight.

Steered by an impressive focus-group, the film follows the story of this group of movement-builders from Barcelona and Seville. Using mostly their own resources, they finance themselves in what they see as a parallel, legal and non-violent way.

In November 2015, they became the first protest movement in Spanish history to be given a government and regional parliament. A new political movement has now risen from their own ranks, but it is far from the mainstream structures of political parties.

The film includes interviews with the leaders of the protest, a former president of the previous regional government, and also with a broad range of political and social movements. It also sheds light on the history of the region, the rise of the labour movement and the discontent with Spanish democracy, in a country rocked over the past few years.

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What’s the smallest shape for a directed graph without path from vertex $x$ to vertex $y$ for all vertices $x, y$?

Suppose $G$ is a directed acyclic graph and $x, y$ are two vertices.
Does there exist $S \subseteq V(G)$ such that $x
otin S$, $y
otin S$,
and there is no path from