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thinkahol *

Parsing the Data and Ideology of the We Are 99% Tumblr | Rortybomb - 0 views

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    One of the most fascinating things to come out of the current We Are 99%/Occupy Wall Street protests is the We Are 99% Tumblr.  At the site, people hold up signs that explain their current circumstances, and it tells the story of a whole range of Americans struggling in the Lesser Depression.  It is highly recommended. DATA The site features pictures of individuals holding their signs, and occasionally the tumblr reproduces the text of the signs themselves underneath the image as html text.  Sometimes the text under the image is blank, sometimes it is a different message, but often it is the sign itself. In order to get a slightly better empirical handle on this important tumblr, I created a script designed to read all of the pages and parse out the html text on the site.  It doesn't read the images (can anyone in the audience automate calls to an OCR?), just the html text.  After collecting all the text on all the pages, the code then goes through it to try to find interesting points. It's a fun exercise, pointing out things I wouldn't have seen otherwise.  For instance, I found this adorable little rascal, pictured below, mucking up the algorithm, as the first version of the code assumed all the ages would have two digits.  I found that he, and the sign his mom made for him as a confessional to her son, hit me a ton harder than any of the more direct signs of despair in this economy:
Amira .

The Science of Right and Wrong. Can data determine moral values? | Scientific American - 0 views

  • All moral values must ultimately be grounded in human nature, and in my book The Science of Good and Evil (Times Books, 2004), I build a scientific case for the evolutionary origins of the moral sentiments and for the ways in which science can inform moral decisions. As a species of social primates, we have evolved a deep sense of right and wrong to accentuate and reward reciprocity and cooperation and to attenuate and punish excessive selfishness and free riding. On the constitution of human nature are built the constitutions of human societies.
  • rafted onto this evolutionary ethics is a new field called neuroethics, whose latest champion is the steely-eyed skeptic and cogent writer Sam Harris, a neuroscientist who in his book The Moral Landscape (Free Press, 2010) wields a sledgehammer to the is-ought wall. Harris’s is a first-principle argument, backed by copious empirical evidence woven through a tightly reasoned narrative. The first principle is the well-being of conscious creatures, from which we can build a science-based system of moral values by quantifying whether or not X increases or decreases well-being.
  • Harris’s program of a science-based morality is a courageous one that I wholeheartedly endorse, but how do we resolve conflicts over such hotly contested issues as taxes? Harris’s moral landscape allows the possibility of many peaks and valleys—more than one right or wrong answer to moral dilemmas—so perhaps liberals, conservatives, libertarians, Tea partiers, Green partiers and others can coexist on different peaks. Live and let live I say, but what happens when the majority of residents on multiple moral peaks pass laws that force those in the minority on other peaks to help pay for their programs of social well-being for everyone? More scientific data are unlikely to eliminate the conflict. I asked Harris about this potential problem. “‘Live and let live’ is often a wise strategy for minimizing human conflict,” he agreed. “But it only applies when the stakes are not very high or when the likely consequences of our behavior are unclear. To say that ‘more scientific data are unlikely to eliminate the conflict’ is simply to say that nothing will: because the only alternative is to argue without recourse to facts. I agree that we find ourselves in this situation from time to time, often on economic questions, but this says nothing about whether right answers to such questions exist.”
thinkahol *

Living in denial: When a sceptic isn't a sceptic - opinion - 18 May 2010 - New Scientist - 0 views

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    WHAT is the difference between a sceptic and a denier? When I call myself a sceptic, I mean that I take a scientific approach to the evaluation of claims. A climate sceptic, for example, examines specific claims one by one, carefully considers the evidence for each, and is willing to follow the facts wherever they lead. A climate denier has a position staked out in advance, and sorts through the data employing "confirmation bias" - the tendency to look for and find confirmatory evidence for pre-existing beliefs and ignore or dismiss the rest. Scepticism is integral to the scientific process, because most claims turn out to be false. Weeding out the few kernels of wheat from the large pile of chaff requires extensive observation, careful experimentation and cautious inference. Science is scepticism and good scientists are sceptical. Denial is different. It is the automatic gainsaying of a claim regardless of the evidence for it - sometimes even in the teeth of evidence. Denialism is typically driven by ideology or religious belief, where the commitment to the belief takes precedence over the evidence. Belief comes first, reasons for belief follow, and those reasons are winnowed to ensure that the belief survives intact.
thinkahol *

The World's Technological Capacity to Store, Communicate, and Compute Information | Kur... - 1 views

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    A study appearing Feb. 10 in Science Express calculates the world's total technological capacity to store, communicate and compute information, part of a Special Online Collection: Dealing with Data. The study by the USC Annenberg School for Communication & Journalism estimates that in 2007, humankind was able to store 2.9 × 1020 optimally compressed bytes, communicate almost 2 × 1021 bytes, and carry out 6.4 × 1018 instructions per second on general-purpose computers. General-purpose computing capacity grew at an annual rate of 58%. The world's capacity for bidirectional telecommunication grew at 28% per year, closely followed by the increase in globally stored information (23%). Humankind's capacity for unidirectional information diffusion through broadcasting channels has experienced comparatively modest annual growth (6%). Telecommunication has been dominated by digital technologies since 1990 (99.9% in digital format in 2007), and the majority of our technological memory has been in digital format since the early 2000s (94% digital in 2007).
thinkahol *

Charting the class struggle | libcom.org - 0 views

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    I was looking into the historical data on strike days in Britain for a feature in Catalyst, but there's a lot more to discuss than we could fit in the paper, so I've extended it to a blog post.
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