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The authors conducted an exhaustive empirical study, with the aid of custom software, public search engines and powerful statistical techniques, in order to determine the relative popularity of every integer between 0 and one million. The resulting information exhibits an extraordinary variety of patterns which reflect and refract our culture, our minds, and our bodies. For example, certain numbers, such as 212, 486, 911, 1040, 1492, 1776, 68040, or 90210, occur more frequently than their neighbors because they are used to denominate the phone numbers, tax forms, computer chips, famous dates, or television programs that figure prominently in our culture. Regular periodicities in the data, located at multiples and powers of ten, mirror our cognitive preference for round numbers in our biologically-driven base-10 numbering system. Certain numbers, such as 12345 or 8888, appear to be more popular simply because they are easier to remember. Related:  arte, interactividad, codigo

Henry Charles Beck Henry Charles Beck (4 de junio de 1902 - 18 de septiembre de 1974), más popular como Harry Beck, Ingeniero Electrónico conocido por crear el actual mapa del Metro de Londres en 1931.[1] Beck lo diseñó durante su tiempo libre y se convirtió en uno de los diseños gráficos más influyentes de la humanidad. A partir del cuál se han creado la gran mayoría, por no decir la totalidad, de los planos de transporte público de las ciudades de todo el globo.[2] Su gran visión consistió en obviar las relaciones de distancia reales entre las estaciones y la utilización identificativa del color para los ramales. En un principio el metro de Londres fue escéptico a la radical propuesta de Beck, aunque después de introducirlo provisionalmente al público en un pequeño folleto en 1933 pasó inmediatamente a ser popular. Desde entonces el Metro de Londres ha utilizado mapas topológicos para ilustrar la red. El mapa del metro de Londres[editar] Evolución de los mapas de Beck[editar] Mapa de 1933[editar]

List of unsolved problems in philosophy This is a list of some of the major unsolved problems in philosophy. Clearly, unsolved philosophical problems exist in the lay sense (e.g. "What is the meaning of life?" Aesthetics[edit] Essentialism[edit] In art, essentialism is the idea that each medium has its own particular strengths and weaknesses, contingent on its mode of communication. Art objects[edit] This problem originally arose from the practice rather than theory of art. While it is easy to dismiss these assertions, further investigation[who?] Epistemology[edit] Epistemological problems are concerned with the nature, scope and limitations of knowledge. Gettier problem[edit] In 1963, however, Edmund Gettier published an article in the periodical Analysis entitled "Is Justified True Belief Knowledge?" In response to Gettier's article, numerous philosophers have offered modified criteria for "knowledge." Infinite regression[edit] Molyneux problem[edit] Münchhausen trilemma[edit] Qualia[edit] Ethics[edit] Moral luck[edit] [edit]

Ten Principles To Live By In Fiercely Complex Times | Fast Company - StumbleUpon If you're like most people I work with in companies, the demands come at you from every angle, all day long, and you have to make difficult decisions without much time to think about them. What enduring principles can you rely on to make choices that reflect openness, integrity and authenticity? Here are ten that work for me: 1. Always challenge certainty, especially your own. 2. 3. 4. 5. 6. 7. 8. 9. 10. Reprinted from Harvard Business Review Tony Schwartz is President and CEO of The Energy Project, a company that helps individuals and organizations fuel energy, engagement, focus, and productivity by harnessing the science of high performance.

Figures for "Impossible fractals" Figures for "Impossible fractals" Cameron Browne Figure 1. Figure 2. Figure 3. Figure 4. Figure 5. Figure 6. Figure 7. Figure 8. Figure 9. Figure 10. Figure 11. Figure 12. Figure 13. 45° Pythagorean tree, balanced 30° Pythagorean tree and extended tri-bar. Figure 14. Figure 15. Figure 16. Paul Baran Paul Baran (29 de abril de 1926 - 26 de marzo de 2011[1] [2] ) fue uno de los impulsores de las redes de conmutación de paquetes junto a Donald Davies y Leonard Kleinrock. Nacido en Polonia, su familia se trasladó a Boston en 1928. Baran cursó estudios de diplomatura en la Universidad Drexel, obtuvo su licenciatura en ingeniería en la UCLA en 1959 y comenzó a trabajar para la Corporación RAND en ese mismo año. Baran también estableció los fundamentos de otras cuatro importantes tecnologías de redes. Estuvo involucrado en los orígenes de la tecnología de paquetes de voz desarrollada por StrataCom en su predecesora Packet Technologies. Esta tecnología daría lugar al primer producto ATM. Paul Baran también extendió su trabajo en conmutación de paquetes a la teoría del espectro inalámbrico, desarrollando lo que llamó "reglas de guardería" (del inglés, kindergarten rules) para el uso del espectro inalámbrico. Referencias[editar] Enlaces externos[editar]

The Cab Ride I'll Never Forget | Zen Moments - StumbleUpon “Great moments often catch us unawares….” By Kent Nerburn There was a time in my life twenty years ago when I was driving a cab for a living. It was a cowboy’s life, a gambler’s life, a life for someone who wanted no boss, constant movement and the thrill of a dice roll every time a new passenger got into the cab. What I didn’t count on when I took the job was that it was also a ministry. Because I drove the night shift, my cab became a rolling confessional. We were like strangers on a train, the passengers and I, hurtling through the night, revealing intimacies we would never have dreamed of sharing during the brighter light of day. And none of those lives touched me more than that of a woman I picked up late on a warm August night. I was responding to a call from a small brick fourplex in a quiet part of town. When I arrived at the address, the building was dark except for a single light in a ground-floor window. So I walked to the door and knocked. After a long pause, the door opened.

Identified | Welcome Crimes Against Humanity Having been conditioned your entire lives, the way we are all conditioned our entire lives, to receive sound-bite answers to questions we have never had the critical ability to form in our minds, forecloses our ability to interrogate reality and draw conclusions from it. That is the function of the media. That is the function of the educational system you understand. It's not to teach you to think critically, which is educational in value. It's to teach you what to think. That's indoctrination. That's a rather different thing, to be indoctrinated than to be educated. We've got an ignorant leadership. At Nuremberg it was said that there was a complicity on the part of the German citizenry. [You] do what's necessary. You are not going to morally persuade a criminal state structure, bent upon perpetrating genocide, war crimes, and crimes against humanity, to do the right thing.

Kai Bernau +31 62 44 77 057 101 Short Stories that Will Leave You Smiling, Crying and Thinking - StumbleUpon post written by: Marc Chernoff Email Since its inception eighteen months ago, our sister site Makes Me Think (MMT) has truly evolved into a remarkable online community. Every day, users share their thought-provoking life stories and vote on stories that other users have shared. As stated on the MMT About page, sometimes the most random everyday encounters force us to stop and rethink the truths and perceptions we have ingrained in our minds. I believe the 101 stories listed below perfectly fulfill that description. What do you think?

MIT Scientist Captures 90,000 Hours of Video of His Son's First Words, Graphs It In a talk soon to grab several million views on, cognitive scientist Deb Roy Wednesday shared a remarkable experiment that hearkens back to an earlier era of science using brand-new technology. From the day he and his wife brought their son home five years ago, the family's every movement and word was captured and tracked with a series of fisheye lenses in every room in their house. The purpose was to understand how we learn language, in context, through the words we hear. A combination of new software and human transcription called Blitzscribe allowed them to parse 200 terabytes of data to capture the emergence and refinement of specific words in Roy’s son’s vocabulary. Unreal 3-D visualizations allowed his team to zoom through the house like a dollhouse and map the utterance of each word in its context. In a landscape-like image with peaks and valleys, you can see that the word “water” was uttered most often in the kitchen, while “bye” took place at the door.