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CHP/PCOR conference brings entrepreneurs, industry leaders together to discuss innovation in health care reform - CHP/PCOR
see Orszag's "Demographics, Access and Costs: A Federal Perspective on Health Care Policy and Innovation"
@13:00 Information Technology is "necessary but not sufficient [to increase efficiency]..."
@17:00 "...an affront to traditional econ 101 thinking...the default mattered more than the financial incentive...[placebo effect in medicine]...simply telling people that what they do every day is physical exercises generates results that are similar to actual exercise..."
Tags: inequity, social_change, innovation, healthcare, reform, economy, behavior, psychology, medicine, placebo, economics, information, technology, nutrition, exercise, children, video on 2008-10-29 -All Annotations (1) -About
more fromhealthpolicy.stanford.edu
The Food Issue - An Open Letter to the Next Farmer in Chief - Michael Pollan - NYTimes.com
...Which brings me to the deeper reason you will need not simply to address food prices but to make the reform of the entire food system one of the highest priorities of your administration: unless you do, you will not be able to make significant progress on the health care crisis, energy independence or climate change.
Tags: food, diet, meat, health, healthcare, agriculture, pollution, climate_crisis, energy, homeland_security, government, regulation, reform, technology, information, infrastructure on 2008-10-12 -All Annotations (17) -About
more fromwww.nytimes.com
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several steps the government can take to nurture this market and make local foods more affordable. Here are a few:Add Sticky Note
- four season farmers' markets, agricultural enterprise zones, local meat-inspection corps, establish a strategic grain reserve, regionalize federal food procurement, create a federal definition of "food", benefit programs that provide incentive to support farmers' markets and CSAsposted by taryn930 on 2008-10-12
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the image of stewardship of the land, of self-reliance and of making the most of local sunlight to feed one’s family and community.
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When Eleanor Roosevelt did something similar in 1943, she helped start a Victory Garden movement that ended up making a substantial contribution to feeding the nation in wartime. (Less well known is the fact that Roosevelt planted this garden over the objections of the U.S.D.A., which feared home gardening would hurt the American food industry.)
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The F.D.A. should require that every packaged-food product include a second calorie count, indicating how many calories of fossil fuel went into its production. Oil is one of the most important ingredients in our food, and people ought to know just how much of it they’re eating. The government should also throw its support behind putting a second bar code on all food products that, when scanned either in the store or at home (or with a cellphone), brings up on a screen the whole story and pictures of how that product was produced: in the case of crops, images of the farm and lists of agrochemicals used in its production; in the case of meat and dairy, descriptions of the animals’ diet and drug regimen, as well as live video feeds of the CAFO where they live and, yes, the slaughterhouse where they die. The very length and complexity of the modern food chain breeds a culture of ignorance and indifference among eaters. Shortening the food chain is one way to create more conscious consumers, but deploying technology to pierce the veil is another.
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the bigger and more global the trade in food, the more vulnerable the system is to catastrophe. The best way to protect our food system against such threats is obvious: decentralize it.
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The revival of farming in America, which of course draws on the abiding cultural power of our agrarian heritage, will pay many political and economic dividends. It will lead to robust economic renewal in the countryside. And it will generate tens of millions of new “green jobs,” which is precisely how we need to begin thinking of skilled solar farming: as a vital sector of the 21st-century post-fossil-fuel economy.
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in the same way we now need to learn how to run an industrial economy without cheap fossil fuel, we have no choice but to find out whether sustainable agriculture can produce enough food
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The U.S.D.A. estimates that Americans throw out 14 percent of the food they buy; much more is wasted by retailers, wholesalers and institutions.
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Argentina. There, in a geography roughly comparable to that of the American farm belt, farmers have traditionally employed an ingenious eight-year rotation of perennial pasture and annual crops: after five years grazing cattle on pasture (and producing the world’s best beef), farmers can then grow three years of grain without applying any fossil-fuel fertilizer.
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First, your administration’s food policy must strive to provide a healthful diet for all our people; this means focusing on the quality and diversity (and not merely the quantity) of the calories that American agriculture produces and American eaters consume. Second, your policies should aim to improve the resilience, safety and security of our food supply. Among other things, this means promoting regional food economies both in America and around the world. And lastly, your policies need to reconceive agriculture as part of the solution to environmental problems like climate change.
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ammonium nitrate being the main ingredient of both bombs and chemical fertilizer — and the conversion of nerve-gas research to pesticides.
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It is no small thing for an American to be able to go into a fast-food restaurant and to buy a double cheeseburger, fries and a large Coke for a price equal to less than an hour of labor at the minimum wage — indeed, in the long sweep of history, this represents a remarkable achievement.
It must be recognized that the current food system — characterized by monocultures of corn and soy in the field and cheap calories of fat, sugar and feedlot meat on the table — is not simply the product of the free market. Rather, it is the product of a specific set of government policies that sponsored a shift from solar (and human) energy on the farm to fossil-fuel energy.
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Nations that opened their markets to the global flood of cheap grain (under pressure from previous administrations as well as the World Bank and the I.M.F.) lost so many farmers that they now find their ability to feed their own populations hinges on decisions made in Washington (like your predecessor’s precipitous embrace of biofuels) and on Wall Street. They will now rush to rebuild their own agricultural sectors and then seek to protect them by erecting trade barriers
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While the surfeit of cheap calories that the U.S. food system has produced since the late 1970s may have taken food prices off the political agenda, this has come at a steep cost to public health. You cannot expect to reform the health care system, much less expand coverage, without confronting the public-health catastrophe that is the modern American diet.
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Four of the top 10 killers in America today are chronic diseases linked to diet: heart disease, stroke, Type 2 diabetes and cancer.
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chemical fertilizers (made from natural gas), pesticides (made from petroleum), farm machinery, modern food processing and packaging and transportation have together transformed a system that in 1940 produced 2.3 calories of food energy for every calorie of fossil-fuel energy it used into one that now takes 10 calories of fossil-fuel energy to produce a single calorie of modern supermarket food.
How the Large Hadron Collider Might Change the Web: Scientific American
Ironically, CERN's next great contribution to the Internet could be all but transparent to the end user. In a perfect world, Globus or its successors would simply make everything on a given grid straightforwardly and transparently accessible from any computer. "If Globus is a success," Bader said, "then you won't hear about it."
Tags: data, information, computer, particle_accelerator, LHC on 2008-09-05 -All Annotations (0) -About
more fromwww.sciam.com
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it's cheaper to write the data to terabyte hard drives and ship them from one supercomputer center to another via FedEx than it is to transfer the gigantic data sets over the net.
Jeffrey Zeldman Presents : Tracking Elections From the Ground Up
note zeldman's critique, the ubiquity of beta-type launches
Tags: election, design, poll, information, data_visualization on 2008-09-02 -All Annotations (0) -About
more fromwww.zeldman.com
Michael Nielsen » The Future of Science
Tags: open_source, open_science, science, academia, publishing, innovation, creativity, information, wikipedia on 2008-08-31 and saved by8 people -All Annotations (0) -About
more frommichaelnielsen.org
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The adoption and growth of the scientific journal system has created a body of shared knowledge for our civilization, a collective long-term memory which is the basis for much of human progress. This system has changed surprisingly little in the last 300 years. The internet offers us the first major opportunity to improve this collective long-term memory, and to create a collective short-term working memory, a conversational commons for the rapid collaborative development of ideas. The process of scientific discovery - how we do science - will change more over the next 20 years than in the past 300 years.
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leading edge of the greatest change in the creative process since the invention of writing.
Science is an example par excellence of creative collaboration, yet scientific collaboration still takes place mainly via face-to-face meetings. -
there are major cultural barriers which are preventing scientists from getting involved, and so slowing down the progress of science.
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The adoption of the journal system was achieved by subsidizing scientists who published their discoveries in journals. This same subsidy now inhibits the adoption of more effective technologies, because it continues to incentivize scientists to share their work in conventional journals, and not in more modern media.
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We should aim to create an open scientific culture where as much information as possible is moved out of people’s heads and labs, onto the network, and into tools which can help us structure and filter the information. This means everything - data, scientific opinions, questions, ideas, folk knowledge, workflows, and everything else - the works. Information not on the network can’t do any good.
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extreme openness. This means: making many more types of content available than just scientific papers; allowing creative reuse and modification of existing work through more open licensing and community norms; making all information not just human readable but also machine readable; providing open APIs to enable the building of additional services on top of the scientific literature, and possibly even multiple layers of increasingly powerful services.
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To create an open scientific culture that embraces new online tools, two challenging tasks must be achieved: (1) build superb online tools; and (2) cause the cultural changes necessary for those tools to be accepted. The necessity of accomplishing both these tasks is obvious, yet projects in online science often focus mostly on building tools, with cultural change an afterthought. This is a mistake, for the tools are only part of the overall picture. It took just a few years for the first scientific journals (a tool) to be developed, but many decades of cultural change before journal publication was accepted as the gold standard for judging scientific contributions.
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a top-down strategy that has been successfully used by the open access (OA) movement [3]
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second strategy is bottom-up. It is for the people building the new online tools to also develop and boldly evangelize ways of measuring the contributions made with the tools. To understand what this means, imagine you’re a scientist sitting on a hiring committee that’s deciding whether or not to hire some scientist. Their curriculum vitae reports that they’ve helped build an open science wiki, and also write a blog. Unfortunately, the committee has no easy way of understanding the significance of these contributions, since as yet there are no broadly accepted metrics for assessing such contributions. The natural consequence is that such contributions are typically undervalued.
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Is it possible to scale up this conversational model, and build an online collaboration market [4] to exchange questions and ideas, a sort of collective working memory for the scientific community?
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Rather than hoarding their questions and ideas, as scientists do for fear of being scooped, the programmers revel in swapping them. Some of the world’s best programmers hang out in these forums, swapping tips, answering questions, and participating in the conversation.
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Innocentive’s business model is aimed firmly at industrial rather than basic research, and so the incentives revolve around money and intellectual property, rather than reputation and citation.
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FriendFeed allows messages to be passed back and forth in a lightweight way, so communities can form around common interests and shared friendships.
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Lacking widely accepted metrics to measure contribution, scientists are unlikely to adopt FriendFeed en masse as a medium for scientific collaboration. And without widespread adoption, the utility of FriendFeed for scientific collaboration will remain relatively low.
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Expert attention, the ultimate scarce resource in science, is very inefficiently allocated under existing practices for collaboration.
An efficient collaboration market would enable Alice and Bob to find this common interest, and exchange their know-how, in much the same way eBay and craigslist enable people to exchange goods and services. However, in order for this to be possible, a great deal of mutual trust is required. -
In economics, it’s been understood for hundreds of years that wealth is created when we lower barriers to trade, provided there is a trust infrastructure of laws and enforcement to prevent cheating and ensure trade is uncoerced. The basic idea, which goes back to David Ricardo in 1817, is to concentrate on areas where we have a comparative advantage, and to avoid areas where we have a comparative disadvantage.
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recommend Bill Hooker’s series of essays on open science, Mitchell Waldrop’s article in Scientific American, and the Science Commons as starting places. There are some great communities of people online engaged in building a more open scientific culture - many of those people can be found in the Life Scientists and Science2.0 rooms on FriendFeed.
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whenever the stakes are that high, secrecy pays off - and the science community is not alone in this. The shoe-salesman Bob may have high stakes in his business, but for Alice it is probably just one of many pairs of shoes. Analogies only go so far
A List Apart: Articles: Mapping Memory: Web Designer as Information Cartographer
Tags: design, information, architecture, social_network on 2008-08-28 and saved by13 people -All Annotations (4) -About
more fromwww.alistapart.com
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the users themselves whose actions produce the website; the web designer merely facilitates that creation.
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Just as Lefebvre leads us to see built spaces not as the expressions of a single architect, but rather as the production of the wide variety of human interactions that occur within them, so websites created by cartographers would cease being grand edifices of unidirectional communication and become instead the collective product of the individuals whose lives intersect within them. The rise of the social web demands that if we are to help shape meaningful online experiences for our users, we must rethink our traditional role as builders of digital monuments and turn our attention to the close observation of the spaces that our users are producing around us.
Evolving Thoughts: Why not information?
Tags: biology, genetics, systems_biology, model, theory, information, philosophy on 2008-08-17 -All Annotations (0) -About
more fromscienceblogs.com
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Anti-evolutionists use "no new information" and a host of spurious mathematical arguments to "prove" that new information cannot be caused by ordinary physical processes like natural selection.
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Information talk privileges genes over other causal actors in biology
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Information talk biases some functions over others in a way that obscures the multiple complicity of genes in various processes.
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Information is not a physical cause of anything.
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Morphology no longer plays a causal role in biology except as the arrangement of particles and ensembles of particles. Want to explain why protein A cleaves to nucleotide X? Do so in terms of the shape if A and X, but do not stop there - form is the effect of the properties of the parts; the strong and weak bonds, the medium, the ambient energy level, and so on. We might be able to infer similar properties from similar forms, but the full explanation, in biology at any rate, has to include the makeup of the molecules and their degrees of freedom in folding and bonding properties.
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we have to treat information as an abstraction made for our benefit, rather than as an inherent property of the objects themselves.
Evolving Thoughts: Is information essential for life? No.
Tags: biology, genetics, systems_biology, model, theory, information, philosophy on 2008-08-17 -All Annotations (0) -About
more fromscienceblogs.com
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Calling everything information is massive projection, or even anthropomorphism. It takes something that exists as a semantic or cognitive property and projects it out to all that exists. It makes observers the sole reality.
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nobody thinks that genes rationally assess their interests and then make choices in interactions with other genes. It just happens that the math is useful to model the evolution of fitnesses irrespective of the cognitive abilities of genes and organisms.
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a human-abacus system is an IPS (and indeed, human-most thing systems can be, potentially, because of the ways humans can act as Turing machines), while a set of beads on strings in a frame on its own is not.
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where would I say that information becomes a property of biological systems? What is the threshold? That's a little tricky.
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if we say the information exists in the organisms/genes/other biological locus irrespective of our recognition, then we lose our privileging of genes as an information system
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Information is only information relative to a model of it. Information is an interpretation, it is not an inherent quality of DNA, or computers, or even the entire universe. Cells don't "process data" through their actions any more than rocks "process data" by getting warm in the sun, or balls "process data" when they are thrown. We can model these behaviours (of cells, and of rocks and balls), but it is we who provide those models with "information", not the natural systems themselves.
Evolving Thoughts: Instruction and information
Tags: biology, genetics, systems_biology, model, theory, computer, information, philosophy on 2008-08-17 -All Annotations (0) -About
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one of the oldest and most widely used rhetorical tropes regarding genes, and latterly DNA, is that it/they are instructions. They cause the body to be built according to a program. Other metaphors include recipes, blueprints, code, and so on, but they all rely on this basic notion of instruction: DNA is a process of imparting information to be used in the construction of the organism.
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information, which we all think we have a handle on, is what the instructions comprise
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every use of the term information in respect of genes can either be replaced with the notion of causality, or can be ignored as adding nothing to the debate, or worse, as confusing and unhelpful.
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hylomorphism, or form-substance dualism, requires that the properties of things are at least partly not due to the stuff of which it is made. Atomism requires that the properties of the parts fix all the properties of the wholes.
In modern debate terms, this is very much like - but not identical with - the reductionism/holism, or more recently, the reductionism/emergence dichotomy. -
we are intentional actors, and so we conceive of the world in those terms.
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the biological world, is not composed of formless gunk that gets its properties only when information is pressed into it. The parts of the system give the system its properties. Genes cause processes to occur, and not alone - they are one causal element of the entire process of being alive. They do not instruct us how to live and grow. They do not impart information. They cause developmental properties to occur
"...Think of Google as a life preserver..." - W. Daniel Hills
Tags: Google, information, data, intelligence, evolution on 2008-08-12 and saved by8 people -All Annotations (0) -About
more fromwww.edge.org
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why do we need so much information? Here is where we can blame technology, at least in part. Technology has destroyed the isolation of distance, so more of what happens matters to us.
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We need to know more because we are expected to make more decisions.
Edge: SOCIAL NETWORKS ARE LIKE THE EYE: A Talk with Nicholas A. Christakis
Tags: science, data, information, video, social_network on 2008-07-29 and saved by7 people -All Annotations (0) -About
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Petabyte Scale Data-Analysis and the Scientific Method
Tags: science, math, computer, science_is_a_method, information, google on 2008-07-07 -All Annotations (0) -About
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But the idea that massive scale data collection and computing renders the
scientific method obsolete? That we no longer need models, or theories, or experiments? That's blatant silliness. -
poor understanding of really big numbers is exploited by creationists who try to convince people that things like evolution are impossible. The arguments are nonsense, but because the numbers are so big, so incomprehensible, that you can trick people.
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The big problem with huge amounts of data is that it's easy to find false correlations. In a huge amount of data, you expect to find tons of patterns. Many of those patterns will be statistical coincidences. And it can be very difficult to identify the ones that are.
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patterns in huge quantities of data - even seemingly incredibly unlikely patterns - become downright likely when you're searching at petabit scale. Our intuitions about what's likely to happen
as a result of randomness or coincidence are a total failure at massive scale. -
If you try to do science without understanding - that is, all you do is look for patterns in data - then you're likely to "discover" a whole bunch of correlations that don't mean anything. If you don't try to understand those correlations, then you can't tell the real ones from the chance ones.
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Mr. Anderson
is confusing the fact that we don't know what the result will be for a particular query with the idea that we don't know why our system works well. Web-search systems aren't based on any kind of randomness: they find relationships between webpages based on hypotheses about how links between pages can provide information about the subject and quality of the link target. -
I thought that reminded me of a quote of Darwin's, and sure enough it did:
"About thirty years ago there was much talk that geologists ought only to observe and not theorize; and I well remember someone saying that at this rate a man might as well go into a gravel-pit and count the pebbles and describe the colours. How odd it is that anyone should not see that all observation must be for or against some view if it is to be of any service!"
The End of Theory: The Data Deluge Makes the Scientific Method Obsolete
Tags: science, google, information, computer, math on 2008-07-05 and saved by70 people -All Annotations (30) -About
more fromwww.wired.com
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This is a world where massive amounts of data and applied mathematics replace every other tool that might be brought to bear. Out with every theory of human behavior, from linguistics to sociology. Forget taxonomy, ontology, and psychology. Who knows why people do what they do? The point is they do it, and we can track and measure it with unprecedented fidelity. With enough data, the numbers speak for themselves.
Is Keyword Search About To Hit Its Breaking Point?
Tags: google, web3.0, information, innovation on 2008-04-26 and saved by19 people -All Annotations (0) -About
more fromwww.techcrunch.com
Spreading the Word
Tags: art, history, information, literature, poetry, robert_pinsky on 2007-10-17 -All Annotations (0) -About
more fromwww.motherjones.com
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"Part of what I'm trying to do in these poems is relate what any human being has to do as you get older," he says. "A good elder tries to figure out what principles, what bits of lore one should leave behind—what that you think deserves to be preserved."
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The poem must sound like a poem in the voice of anyone who chooses to say it aloud. And the Favorite Poem Project demonstrates that. I honor performance a lot, but poetry is not the art of performance.
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he old Saturday Night Live might have been a step in the right direction, and they did some terrific things, but it was not as informed or as bold. The performers were great, but the writing is more ferocious and more informed and smarter today.
Notation: * = Private bookmark and comment|… = Clipping [?] | … = Public highlight [?]



http://cboblog.cbo.gov/?p=180