10 MAR 2017 by ideonexus

 Gamification Simultaneous Action Selection Mechanic

Dr. Mays uses the Simultaneous Action Selection mechanic to structure his lesson. He creates two decks of cards—one with names of different cellular components (e.g., ribosomes, endoplasmic reticulum) and another with a wide assortment of cellular functions and processes. He seats students in groups of five or six and explains the rules. During each turn, one student is going to pick a card from the component deck and read it out loud. Then the other students select a card from their hand (...
Folksonomies: education gamification
Folksonomies: education gamification
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27 DEC 2016 by ideonexus

 Thin Slices of Joy

“Right now, I’m a little thirsty, so I will drink a bit of water. And when I do that, I experience a thin slice of joy both in space and time,” he told CBC News. “It’s not like ‘Yay!”” he notes in Joy on Demand. “It’s like, ‘Oh, it’s kind of nice.’” Usually these events are unremarkable: a bite of food, the sensation of stepping from a hot room to an air-conditioned room, the moment of connection in receiving a text from an old friend. Although they last two or th...
Folksonomies: happiness well-being
Folksonomies: happiness well-being
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26 MAY 2015 by ideonexus

 BIDS Approach to Understanding Intelligence

There is nothing really the matter with the concept of g; it is just that we have misused it by making it the omnipresent concept in our study of cognitive abilities. Intelligence is important on three levels, namely, brain physiology, individual differences, and social trends (collectively, BIDS). The core of a BIDS approach to intelligence is that each of those levels has its own organizing concept, and it is a mistake to impose the architectonic concept of one level on another. We have to ...
Folksonomies: intelligence g-factor
Folksonomies: intelligence g-factor
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Intelligence is a Network of Factors.

19 FEB 2015 by ideonexus

 Oliver Sacks on Focus in the Last Months of Life

I feel a sudden clear focus and perspective. There is no time for anything inessential. I must focus on myself, my work and my friends. I shall no longer look at “NewsHour” every night. I shall no longer pay any attention to politics or arguments about global warming. This is not indifference but detachment — I still care deeply about the Middle East, about global warming, about growing inequality, but these are no longer my business; they belong to the future. I rejoice when I meet gi...
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30 JAN 2015 by ideonexus

 Nemesis

But why should comets become more likely to hit us every million years? Here we launch ourselves into deep speculation. It has been suggested that the sun has a sister star, and the two orbit each other with a periodicity of about 26 million years. This hypothetical binary partner, which has never been seen but which has nevertheless been given the dramatic name Nemesis, passes, once per orbital rotation, through the so-called Oort Cloud, the belt of perhaps a trillion comets which orbits the...
Folksonomies: astronomy nemesis
Folksonomies: astronomy nemesis
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19 DEC 2014 by ideonexus

 How the Finance Industry Hurts the Economy

In perhaps the starkest illustration, economists from Harvard University and the University of Chicago wrote in a recent paper that every dollar a worker earns in a research field spills over to make the economy $5 better off. Every dollar a similar worker earns in finance comes with a drain, making the economy 60 cents worse off. [...] ...the growth of complex financial products has served primarily to boost income for the firms themselves, Philippon said. A new paper from researchers in t...
Folksonomies: economy finance
Folksonomies: economy finance
  1  notes
 
27 DEC 2013 by ideonexus

 Why Economists Will Continue to be Wrong

Carter had initially used arbitrary parameters in his perfect model to generate perfect data, but now, in order to assess his model in a realistic way, he threw those parameters out and used standard calibration techniques to match his perfect model to his perfect data. It was supposed to be a formality--he assumed, reasonably, that the process would simply produce the same parameters that had been used to produce the data in the first place. But it didn't. It turned out that there were many ...
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They make models based on past data, and when they fail to predict the future, they adjust them to match the new past data. The problem is that so many models will match the past data, there could be no end to the number of models they throw out.

24 DEC 2013 by ideonexus

 Predictability and the Base Rate

Whenever a statistician wants to predict the likelihood of some event based on the available evidence, there are two main sources of information that have to be taken into account: (1) the evidence itself, for which a reliability figure has to be calculated; and (2) the likelihood of the event calculated purely in terms of relative incidence. The second figure here is the base rate. Since it is just a number, obtained by the seemingly dull process of counting, it frequently gets overlooked wh...
Folksonomies: predictability
Folksonomies: predictability
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Keith Devlin explains why the accuracy of tests and measurments must take into account the base rate for the phenomenon.

22 OCT 2013 by ideonexus

 The Steel Man Argument

Sometimes the term "steel man" is used to refer to a position's or argument's improved form. A straw man is a misrepresentation of someone's position or argument that is easy to defeat: a "steel man" is an improvement of someone's position or argument that is harder to defeat than their originally stated position or argument.
Folksonomies: debate
Folksonomies: debate
  1  notes

Contrasts with the straw man, work from an idealized articulation of your opponent's viewpoint and try to improve upon it.

08 AUG 2013 by ideonexus

 What's Good for a Business Can be Bad for Society

Every bit in a computer is a wannabe Maxwell’s Demon, separating the state of “one” from the state of “zero” for a while, at a cost. A computer on a network can also act like a wannabe demon if it tries to sort data from networked people into one or the other side of some imaginary door, while pretending there is no cost or risk involved. For instance, a Siren Server might allow only those who would be cheap to insure through a doorway (to become insured) in order to make a supernat...
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Businesses that refuse to insure high-risk individuals leave the burden of those individuals on the whole community.