**jerryking + mathematics**
82

The biggest gender divide is in mathematics

8 days ago by jerryking

September 5, 2019 | | Financial Times| by Carola Hoyos.

Numeracy is vital for everyone. But according to Alain Dehaze, chief executive of Adecco, the world’s biggest recruiting company, the most valuable mathematical skills in a more automated future, especially for those people who can also communicate them to generalists, are the ability to spot patterns; to problem solve logically; and to work with statistics, probability and large data sets to see into the future.

biases
culture
gender_gap
girls
high_schools
mathematics
numeracy
parenting
women
Numeracy is vital for everyone. But according to Alain Dehaze, chief executive of Adecco, the world’s biggest recruiting company, the most valuable mathematical skills in a more automated future, especially for those people who can also communicate them to generalists, are the ability to spot patterns; to problem solve logically; and to work with statistics, probability and large data sets to see into the future.

8 days ago by jerryking

Inside GCHQ: the art of spying in the digital age

may 2019 by jerryking

May 23, 2019 | Financial Times | by David Bond.

5G
artificial_intelligence
biometrics
codebreaking
cryptography
cyber_security
cyber_warfare
cyberthreats
diversity
Edward_Snowden
encryption
Five_Eyes
GCHQ
heterogeneity
Huawei
humint
LGBT
machine_learning
massive_data_sets
mathematics
metadata
NSA
offensive_tactics
privacy
quantum_computing
recruiting
retention
rogue_actors
satellites
security_&_intelligence
sigint
Silicon_Valley
spycraft
spymasters
talent_management
teams
technological_change
think_differently
traffic_analysis
United_Kingdom
vetting
warfare
war_for_talent
may 2019 by jerryking

The Art of Statistics by David Spiegelhalter

may 2019 by jerryking

May 6, 2019 | Financial Times | Review by Alan Smith.

The Art of Statistics, by Sir David Spiegelhalter, former president of the UK’s Royal Statistical Society and current Winton professor of the public understanding of risk at the University of Cambridge.

The comparison with Rosling is easy to make, not least because Spiegelhalter is humorously critical of his own field which, by his reckoning, has spent too much time arguing with itself over “the mechanical application of a bag of statistical tools, many named after eccentric and argumentative statisticians”.

His latest book, its title,

books
book_reviews
charts
Communicating_&_Connecting
data
data_journalism
data_scientists
Hans_Rosling
listening
massive_data_sets
mathematics
statistics
visualization
The Art of Statistics, by Sir David Spiegelhalter, former president of the UK’s Royal Statistical Society and current Winton professor of the public understanding of risk at the University of Cambridge.

The comparison with Rosling is easy to make, not least because Spiegelhalter is humorously critical of his own field which, by his reckoning, has spent too much time arguing with itself over “the mechanical application of a bag of statistical tools, many named after eccentric and argumentative statisticians”.

His latest book, its title,

may 2019 by jerryking

‘Math men’ not mad men rule advertising’s data age, says Lévy

may 2019 by jerryking

May 5, 2019 | Financial Times | by Anna Nicolaou.

Maurice Levy: 'The future [of advertising] is based on data. It is not based on any mass media.' We know that mass media is [declining] every day,” “And if an advertising agency wants to have a future, data is absolutely indispensable.”

the advertising industry was undergoing a “metamorphosis” that required big bets.......As consumers shift attention away from pricey television commercials and towards the internet, where Facebook and Google dominate, the industry is more “math men” than mad men......In light of digital disruption Publicis, the world’s third-largest advertising agency by revenues, has made a big bet on data. In April the company made its largest acquisition with the purchase of Epsilon, a digital marketing company owned by Alliance Data Systems......Like its rivals WPP and Omnicom, Publicis is under pressure as Facebook and Google have disintermediated the traditional agency model. The two tech groups account for two-thirds of digital advertising sales in the US.....The industry has been consolidating as traditional agencies look to position themselves as data analytics gurus who can help brands target shoppers online. Last year Interpublic bought data business Acxiom for $2bn, while just last month buzzy agency Droga5 sold itself to Accenture......Despite lingering fears that an economic slowdown is looming, “the situation is much better now,”.... making the Epsilon decision easier. “The fastest-growing segment in our industry is data, technology, internet. Period. All the rest is suffering.”

advertising
advertising_agencies
analytics
big_bets
data
decline
disruption
disintermediation
Epsilon
Facebook
Google
Interpublic
Mad_Men
marketing
mass_media
mathematics
Maurice_Lévy
Omnicom
Publicis
WPP
Maurice Levy: 'The future [of advertising] is based on data. It is not based on any mass media.' We know that mass media is [declining] every day,” “And if an advertising agency wants to have a future, data is absolutely indispensable.”

the advertising industry was undergoing a “metamorphosis” that required big bets.......As consumers shift attention away from pricey television commercials and towards the internet, where Facebook and Google dominate, the industry is more “math men” than mad men......In light of digital disruption Publicis, the world’s third-largest advertising agency by revenues, has made a big bet on data. In April the company made its largest acquisition with the purchase of Epsilon, a digital marketing company owned by Alliance Data Systems......Like its rivals WPP and Omnicom, Publicis is under pressure as Facebook and Google have disintermediated the traditional agency model. The two tech groups account for two-thirds of digital advertising sales in the US.....The industry has been consolidating as traditional agencies look to position themselves as data analytics gurus who can help brands target shoppers online. Last year Interpublic bought data business Acxiom for $2bn, while just last month buzzy agency Droga5 sold itself to Accenture......Despite lingering fears that an economic slowdown is looming, “the situation is much better now,”.... making the Epsilon decision easier. “The fastest-growing segment in our industry is data, technology, internet. Period. All the rest is suffering.”

may 2019 by jerryking

A Man for All Markets by Edward O. Thorp

march 2019 by jerryking

by Edward Thorp, a mathematician who applied his skills, from Las Vegas to Wall Street, from the blackjack tables to the world of hedge funds.

books
hedge_funds
Las_Vegas
mathematics
quantitative
Wall_Street
march 2019 by jerryking

Pi Day: How One Irrational Number Made Us Modern - The New York Times

march 2019 by jerryking

By Steven Strogatz

March 14, 2019

mathematics
March 14, 2019

march 2019 by jerryking

Secret Codes Built on Very Large Numbers - WSJ

october 2018 by jerryking

By Eugenia Cheng

Oct. 3, 2018

cryptography
mathematics
quantum_computing
Oct. 3, 2018

october 2018 by jerryking

The quant factories producing the fund managers of tomorrow

june 2018 by jerryking

Jennifer Thompson in London JUNE 2, 2018

The wealth of nations and individuals is ever more likely to be influenced by computer algorithms as investors look to computer-powered quantitative trading strategies to generate returns. But underpinning those machines and algorithms are real people, namely the world’s sharpest mathematicians and data scientists.

Though not hard to identify, virtually every industry — and especially Big Tech — is competing with the financial world for their skills....Competition for talent means the campuses of elite universities have become a favoured hunting ground for many groups, and that the very best students and early career academics can command staggering starting salaries should they join the investment world......The links asset managers foster with universities vary. In the UK, Oxford and Cambridge are home to dedicated institutes established and funded by investment managers. Although these were set up with a genuine desire to foster research in the field, with a nod to philanthropy, they are also proving to be an effective way to spotting future talent.

Connections between hedge funds and investment managers are less formalised on US campuses but are treated with no less importance.

Personal relationships are important,

mathematics
data_scientists
quants
quantitative
hedge_funds
algorithms
war_for_talent
asset_management
PhDs
WorldQuant
Big_Tech
The wealth of nations and individuals is ever more likely to be influenced by computer algorithms as investors look to computer-powered quantitative trading strategies to generate returns. But underpinning those machines and algorithms are real people, namely the world’s sharpest mathematicians and data scientists.

Though not hard to identify, virtually every industry — and especially Big Tech — is competing with the financial world for their skills....Competition for talent means the campuses of elite universities have become a favoured hunting ground for many groups, and that the very best students and early career academics can command staggering starting salaries should they join the investment world......The links asset managers foster with universities vary. In the UK, Oxford and Cambridge are home to dedicated institutes established and funded by investment managers. Although these were set up with a genuine desire to foster research in the field, with a nod to philanthropy, they are also proving to be an effective way to spotting future talent.

Connections between hedge funds and investment managers are less formalised on US campuses but are treated with no less importance.

Personal relationships are important,

june 2018 by jerryking

The Best Way to Think About Probabilities - WSJ

may 2018 by jerryking

By Eugenia Cheng

May 17, 2018

probabilities
mathematics
May 17, 2018

may 2018 by jerryking

Taking an arts degree? Do the maths

february 2018 by jerryking

obert Shrimsley FEBRUARY 23, 2018

Colleges_&_Universities
students
humanities
STEM
liberal_arts
parenting
mathematics
february 2018 by jerryking

A love of maths multiplies Britain’s potential power

december 2017 by jerryking

Roula Khalaf

12 HOURS AGO

children
mathematics
12 HOURS AGO

december 2017 by jerryking

Lost Einsteins: The Innovations We’re Missing -

december 2017 by jerryking

DEC. 3, 2017 | The New York Times | David Leonhardt.

societies have a big interest in making sure that as many people as possible have the opportunity to become scientists, inventors and entrepreneurs. It’s not only a matter of fairness. Denying opportunities to talented people can end up hurting everyone.

.....Raj Chetty....is a Stanford professor who helps lead the Equality of Opportunity Project.... considered among the most important research efforts in economics today.....The project’s latest paper, out Sunday, looks at who becomes an inventor — and who doesn’t. The results are disturbing....The key phrase in the research paper is “lost Einsteins.” It’s a reference to people who could “have had highly impactful innovations” if they had been able to pursue the opportunities they deserved.....children who excelled in math were far more likely to become inventors. But being a math standout wasn’t enough. Only the top students who also came from high-income families had a decent chance to become an inventor.

This fact may be the starkest: Low-income students who are among the very best math students — those who score in the top 5 percent of all third graders — are no more likely to become inventors than below-average math students from affluent families:

....“There are great differences in innovation rates,” Chetty said. “Those differences don’t seem to be due to innate ability to innovate.” Or as Steve Case — the entrepreneur who’s now investing in regions that venture capital tends to ignore — told me when I called him to discuss the findings: “Creativity is broadly distributed. Opportunity is not.” [or life’s basic truth: Talent is universal, but opportunity is not.]

innovation
equality_of_opportunity
Steve_Case
Albert_Einstein
achievement_gaps
affluence
high-income
low-income
mathematics
capitalization
human_potential
inventions
inventiveness
inventors
creativity
quotes
unevenly_distributed
societies have a big interest in making sure that as many people as possible have the opportunity to become scientists, inventors and entrepreneurs. It’s not only a matter of fairness. Denying opportunities to talented people can end up hurting everyone.

.....Raj Chetty....is a Stanford professor who helps lead the Equality of Opportunity Project.... considered among the most important research efforts in economics today.....The project’s latest paper, out Sunday, looks at who becomes an inventor — and who doesn’t. The results are disturbing....The key phrase in the research paper is “lost Einsteins.” It’s a reference to people who could “have had highly impactful innovations” if they had been able to pursue the opportunities they deserved.....children who excelled in math were far more likely to become inventors. But being a math standout wasn’t enough. Only the top students who also came from high-income families had a decent chance to become an inventor.

This fact may be the starkest: Low-income students who are among the very best math students — those who score in the top 5 percent of all third graders — are no more likely to become inventors than below-average math students from affluent families:

....“There are great differences in innovation rates,” Chetty said. “Those differences don’t seem to be due to innate ability to innovate.” Or as Steve Case — the entrepreneur who’s now investing in regions that venture capital tends to ignore — told me when I called him to discuss the findings: “Creativity is broadly distributed. Opportunity is not.” [or life’s basic truth: Talent is universal, but opportunity is not.]

december 2017 by jerryking

How I Beat Math Phobia—and Became a Better Entrepreneur - WSJ

november 2017 by jerryking

By Alexandra Samuel

Nov. 26, 2017 1

mathematics
data_driven
entrepreneur
women
start_ups
small_business
phobias
Nov. 26, 2017 1

november 2017 by jerryking

A Tale of Two Metrics

august 2017 by jerryking

August 7, 2017 | | RetailNext | Ray Hartjen, Director, Content Marketing & Public Relations.

Traffic can’t alone measure the effectiveness of demand creation efforts, but some well-placed math can show retailers strong correlations over a myriad of relevant variables. More over, as my colleague Shelley E. Kohan pointed out in her post earlier this summer, “Expanding the Scope of Metrics,” Traffic is foundational for meaningful metrics like Conversion and Sales Yield (Sales per Shopper), key measurements that help managers make daily decisions on the floor from tailoring merchandising displays to allocating staffing and refining associate training.

With metrics, it’s important to remember there’re different strokes for different folks, with different measurements critical for different functions, much like financial accounting and managerial accounting serve different masters. Today’s “big data” age allows retailers to inexpensively collect, synthesize, analyze and report almost unbelievable amounts of data from an equally almost unbelievable number of data streams. Paramount is to get the right information in front of the right people at the right time.

Sometimes, the right data is Sales per Square Foot, and it certainly makes for a nice headline. But, not to be outshined, other instances call for Traffic. As Chitra Balasubramanian, RetailNext’s Head of Business Analytics, points out in the same Sourcing Journal Online article, “Traffic equals opportunity. Retailers should take advantage of store visits with loyalty programs, heightened customer service, and a great in-store experience to create a long-lasting relationship with that customer to ensure repeat visits.”

metrics
sales
foot_traffic
retailers
inexpensive
massive_data_sets
data
creating_demand
correlations
experiential_marketing
in-store
mathematics
loyalty_management
the_right_people
sales_per_square_foot
Traffic can’t alone measure the effectiveness of demand creation efforts, but some well-placed math can show retailers strong correlations over a myriad of relevant variables. More over, as my colleague Shelley E. Kohan pointed out in her post earlier this summer, “Expanding the Scope of Metrics,” Traffic is foundational for meaningful metrics like Conversion and Sales Yield (Sales per Shopper), key measurements that help managers make daily decisions on the floor from tailoring merchandising displays to allocating staffing and refining associate training.

With metrics, it’s important to remember there’re different strokes for different folks, with different measurements critical for different functions, much like financial accounting and managerial accounting serve different masters. Today’s “big data” age allows retailers to inexpensively collect, synthesize, analyze and report almost unbelievable amounts of data from an equally almost unbelievable number of data streams. Paramount is to get the right information in front of the right people at the right time.

Sometimes, the right data is Sales per Square Foot, and it certainly makes for a nice headline. But, not to be outshined, other instances call for Traffic. As Chitra Balasubramanian, RetailNext’s Head of Business Analytics, points out in the same Sourcing Journal Online article, “Traffic equals opportunity. Retailers should take advantage of store visits with loyalty programs, heightened customer service, and a great in-store experience to create a long-lasting relationship with that customer to ensure repeat visits.”

august 2017 by jerryking

Business Book of the Year 2017 — the longlist

august 2017 by jerryking

AUGUST 13, 2017 by: Andrew Hill.

One question for the judges is how durable they think the authors’ analyses of 2017’s shifting technological landscape will prove to be. The jury is expected to give preference to those books “whose insights and influence are most likely to stand the test of time”.

* Tom Friedman, whose bestseller on globalisation was the first Business Book of the Year in 2005. Thank You For Being Late, his latest, extends the thesis, linking personal stories to an analysis of the state of business, innovation, economics and world politics.

* Satya Nadella’s Hit Refresh (written with Greg Shaw and Jill Tracie Nichols) is an upbeat, first-hand account of his effort to devise a successful second act for Microsoft — almost unprecedented in the world of big technology — after the software company missed the mobile revolution.

* Brian Merchant’s The One Device dives deep into the making of Apple’s iPhone, on its 10th anniversary.

* Brad Stone’s The Upstarts, about Airbnb and Uber, narrowly missed this year’s longlist.

* Wild Ride, Adam Lashinsky’s lively analysis of Uber’s rise.

* Self-driving cars — one of the technologies being explored by Uber — feature in Vivek Wadhwa’s The Driver in the Driverless Car (written with Alex Salkever).

* Ellen Pao’s Reset (out next month) tackles the red-hot topic of diversity in Silicon Valley — or lack of it — recounting her experience as venture capitalist and chief executive of Reddit, the social platform.

* Jonathan Taplin’s Move Fast and Break Things, which examines the “monopoly platforms” built by Facebook, Google, Amazon and others and how they have “cornered culture”.

* Near-misses for the longlist included: Franklin Foer’s soon to be published critique of the tech sector World Without Mind; Machine, Platform, Crowd (the latest from 2014 shortlisted authors Erik Brynjolfsson and Andrew McAfee); and The Fuzzy and the Techie by Scott Hartley. Mr Hartley’s book on the relevance of the liberal arts in a tech-led world was born from a proposal that made the final of last year’s Bracken Bower Prize for budding younger authors.

* The Wisdom of Finance by Mihir Desai, which uses literature, history, movies and philosophy to shed light on dry financial theories.

* A Man for All Markets, by Edward Thorp, a mathematician who applied his skills, from Las Vegas to Wall Street, from the blackjack tables to the world of hedge funds.

* Andrew Lo’s Adaptive Markets, a critique of the “efficient markets hypothesis”

* Sheelah Kolhatkar’s Black Edgedescribes how Steven Cohen’s former hedge fund, SAC Capital, built its Wall Street dominance before facing insider trading charges.

* David Enrich’s The Spider Network offers a comprehensive account of the Libor rate-rigging scandal.

* Janesville, by journalist Amy Goldstein, which explores the deeper social — and political — impact of business decisions on ordinary working people. She digs into what happened to people in a small Wisconsin city when General Motors stopped producing cars, overturning the residents’ lives.

* With the exception of Nadella’s Hit Refresh, books about management and leadership fared poorly this year, though Fast/Forward by Julian Birkinshaw and Jonas Ridderstrale, and Freek Vermeulen’s forthcoming Breaking Bad Habits, about what happens when best practice goes bad, came close.

* Economics for the Common Good, by French winner of the Nobel economics prize Jean Tirole, due out in October in English. It makes the case for economics as a positive force on the everyday existence of people and businesses.

* Stephen King’s Grave New World underlines that globalisation is under unprecedented threat.

* Kate Raworth, in Doughnut Economics, makes the case for a new economic model that pays more attention to human and environmental pressures.

* Walter Scheidel’s The Great Leveler, is a sobering history of inequality. Scheidel emphasizes the unavoidable importance of violent events — from plague to revolution — in redressing the economic balance. “All of us who prize greater economic equality would do well to remember that with the rarest of exceptions, it was only ever brought forth in sorrow,” he warns in his conclusion. “Be careful what you wish for.”

best_of
books
booklists
Edward_Thorp
FT
gambling
Las_Vegas
mathematics
Mihir_Desai
Satya_Nadella
Sheelah_Kolhatkar
Tom_Friedman
One question for the judges is how durable they think the authors’ analyses of 2017’s shifting technological landscape will prove to be. The jury is expected to give preference to those books “whose insights and influence are most likely to stand the test of time”.

* Tom Friedman, whose bestseller on globalisation was the first Business Book of the Year in 2005. Thank You For Being Late, his latest, extends the thesis, linking personal stories to an analysis of the state of business, innovation, economics and world politics.

* Satya Nadella’s Hit Refresh (written with Greg Shaw and Jill Tracie Nichols) is an upbeat, first-hand account of his effort to devise a successful second act for Microsoft — almost unprecedented in the world of big technology — after the software company missed the mobile revolution.

* Brian Merchant’s The One Device dives deep into the making of Apple’s iPhone, on its 10th anniversary.

* Brad Stone’s The Upstarts, about Airbnb and Uber, narrowly missed this year’s longlist.

* Wild Ride, Adam Lashinsky’s lively analysis of Uber’s rise.

* Self-driving cars — one of the technologies being explored by Uber — feature in Vivek Wadhwa’s The Driver in the Driverless Car (written with Alex Salkever).

* Ellen Pao’s Reset (out next month) tackles the red-hot topic of diversity in Silicon Valley — or lack of it — recounting her experience as venture capitalist and chief executive of Reddit, the social platform.

* Jonathan Taplin’s Move Fast and Break Things, which examines the “monopoly platforms” built by Facebook, Google, Amazon and others and how they have “cornered culture”.

* Near-misses for the longlist included: Franklin Foer’s soon to be published critique of the tech sector World Without Mind; Machine, Platform, Crowd (the latest from 2014 shortlisted authors Erik Brynjolfsson and Andrew McAfee); and The Fuzzy and the Techie by Scott Hartley. Mr Hartley’s book on the relevance of the liberal arts in a tech-led world was born from a proposal that made the final of last year’s Bracken Bower Prize for budding younger authors.

* The Wisdom of Finance by Mihir Desai, which uses literature, history, movies and philosophy to shed light on dry financial theories.

* A Man for All Markets, by Edward Thorp, a mathematician who applied his skills, from Las Vegas to Wall Street, from the blackjack tables to the world of hedge funds.

* Andrew Lo’s Adaptive Markets, a critique of the “efficient markets hypothesis”

* Sheelah Kolhatkar’s Black Edgedescribes how Steven Cohen’s former hedge fund, SAC Capital, built its Wall Street dominance before facing insider trading charges.

* David Enrich’s The Spider Network offers a comprehensive account of the Libor rate-rigging scandal.

* Janesville, by journalist Amy Goldstein, which explores the deeper social — and political — impact of business decisions on ordinary working people. She digs into what happened to people in a small Wisconsin city when General Motors stopped producing cars, overturning the residents’ lives.

* With the exception of Nadella’s Hit Refresh, books about management and leadership fared poorly this year, though Fast/Forward by Julian Birkinshaw and Jonas Ridderstrale, and Freek Vermeulen’s forthcoming Breaking Bad Habits, about what happens when best practice goes bad, came close.

* Economics for the Common Good, by French winner of the Nobel economics prize Jean Tirole, due out in October in English. It makes the case for economics as a positive force on the everyday existence of people and businesses.

* Stephen King’s Grave New World underlines that globalisation is under unprecedented threat.

* Kate Raworth, in Doughnut Economics, makes the case for a new economic model that pays more attention to human and environmental pressures.

* Walter Scheidel’s The Great Leveler, is a sobering history of inequality. Scheidel emphasizes the unavoidable importance of violent events — from plague to revolution — in redressing the economic balance. “All of us who prize greater economic equality would do well to remember that with the rarest of exceptions, it was only ever brought forth in sorrow,” he warns in his conclusion. “Be careful what you wish for.”

august 2017 by jerryking

Measuring value of university contingency - Western Alumni

april 2017 by jerryking

Spring 2013

Measuring value of university contingency

by Paul Wells, BA'89

Tutoring my favourite nine-year-old, I was surprised at how much trouble he was having with fractions. This is a smart kid with a good number sense, but he was flummoxed as he tried to grasp the applications of halves, quarters and eighths.

I went through the stages of tutor grief — denial, anger, bargaining — before I began to realize what the problem was. Fractions represent a huge advance over everything a child has learned up to then, because they represent a relation, not an absolute. No wonder it’s a big moment...... the notion of fraction's adaptability is what makes it so powerful. Fractions lead you by a short road to algebra and to a Pandora’s box of tools for finding the value of unknown quantities....A few years ago I spent a month at Perimeter Institute in Waterloo, trying to understand the work of the physicists there. Most of it went right over my head, but once in a while I’d see some genius write symbols above and below a division line, cross it with symbols in a neighbouring fraction, simplify and solve, and I would realize that I was watching another application of tools that became available to that genius,.....At some point in almost every field you move, not without struggle, from the absolute to the contingent. In the first books you read — I’m talking little kids here — a bird is just a bird. Eventually you graduate to metaphor, and now a bird can be a stand-in for hope or freedom or death. In law you move past different readings of a statute to competing notions of the good or just. In music, harmonies become richer, relations among notes more open to interpretation, until the very notion of harmony becomes something a composer can retain or reject according to taste and need. And then you listen to Bach’s St. Matthew Passion and you wonder whether any of this change can be said to represent progress.

If there’s a place in modern society where the notions of relation, proportion and contingency are most frequently encountered and applied, it’s the university.....

Few places are easier to mock for their pretentiousness. (Why are campus politics so vicious? Because, Henry Kissinger said, the stakes are so low.) But at universities people are at least a little likelier, on average, to question their assumptions, to be prepared to defend or discard them, than in the rest of the world. That’s the hope, anyway.

So it’s disappointing, while unsurprising, that these bastions of relativism..have spent so much time marketing themselves as purveyors of sure value.

Colleges_&_Universities
mathematics
Paul_Wells
relationships
Perimeter_Institute
tools
messiness
proportionality
contingency
Measuring value of university contingency

by Paul Wells, BA'89

Tutoring my favourite nine-year-old, I was surprised at how much trouble he was having with fractions. This is a smart kid with a good number sense, but he was flummoxed as he tried to grasp the applications of halves, quarters and eighths.

I went through the stages of tutor grief — denial, anger, bargaining — before I began to realize what the problem was. Fractions represent a huge advance over everything a child has learned up to then, because they represent a relation, not an absolute. No wonder it’s a big moment...... the notion of fraction's adaptability is what makes it so powerful. Fractions lead you by a short road to algebra and to a Pandora’s box of tools for finding the value of unknown quantities....A few years ago I spent a month at Perimeter Institute in Waterloo, trying to understand the work of the physicists there. Most of it went right over my head, but once in a while I’d see some genius write symbols above and below a division line, cross it with symbols in a neighbouring fraction, simplify and solve, and I would realize that I was watching another application of tools that became available to that genius,.....At some point in almost every field you move, not without struggle, from the absolute to the contingent. In the first books you read — I’m talking little kids here — a bird is just a bird. Eventually you graduate to metaphor, and now a bird can be a stand-in for hope or freedom or death. In law you move past different readings of a statute to competing notions of the good or just. In music, harmonies become richer, relations among notes more open to interpretation, until the very notion of harmony becomes something a composer can retain or reject according to taste and need. And then you listen to Bach’s St. Matthew Passion and you wonder whether any of this change can be said to represent progress.

If there’s a place in modern society where the notions of relation, proportion and contingency are most frequently encountered and applied, it’s the university.....

Few places are easier to mock for their pretentiousness. (Why are campus politics so vicious? Because, Henry Kissinger said, the stakes are so low.) But at universities people are at least a little likelier, on average, to question their assumptions, to be prepared to defend or discard them, than in the rest of the world. That’s the hope, anyway.

So it’s disappointing, while unsurprising, that these bastions of relativism..have spent so much time marketing themselves as purveyors of sure value.

april 2017 by jerryking

Winton Capital’s David Harding on making millions through maths

november 2016 by jerryking

NOVEMBER 25, 2016 | Financial Times | by Clive Cookson.

Harding’s career is founded on the relentless pursuit of mathematical and scientific methods to predict movements in markets. This is a never-ending process because predictive tools lose their power as markets change; new ones are always needed. “We have 450 people in the company, of whom 250 are involved in research, data collection or technology,” he says. That is equivalent to a medium-sized university physics department....Harding's approach to making money is to exploit failures in the efficient market theory...the problem with the EMT is that “It treats economics like a physical science when, in fact, it is a human or social science. Humans are prone to unpredictable behaviour, to overreaction or slumbering inaction, to mania and panic.”...The Winton investment system is based instead on “the belief that scientific methods provide a good means of extracting meaning from noisy market data. We don’t make assumptions about how markets should work, rather we use advanced statistical techniques to seek patterns in huge data sets and base all our investment strategies on the analysis of empirical evidence...Harding emphasises the breadth and volume of investments involved, covering bonds, currencies, commodities, market indices and individual equities. The aim is to exploit a large number of weak predictive signals, he says: “We don’t expect to find any strong relationships between data and the price of the market. That may sound counter-intuitive but if there are strong relationships, someone else is going to be exploiting those. Weak relationships are where we have a competitive advantage.” Weather strategies are one feature of Winton research, including analysis of cloud cover and soil moisture levels to predict the prices of agricultural commodities. Other important indicators, for which maths can uncover value not fully reflected in market prices, include seasonal factors and inventory levels across supply chains....When I ask Harding about the use of machine learning and artificial intelligence to guide investment decisions, he bristles slightly. “There is a sudden upsurge of excitement about AI,” he says, “but we have used techniques that would be described as machine learning for at least 30 years.”

Essentially, he says, quantitative investing, self-driving cars and speech recognition are all applications of “information engineering”....he heads off to a lecture by German psychologist Gerd Gigerenzer, who runs the Harding Centre for Risk Literacy in Berlin

communicating_risks
mathematics
hedge_funds
investment_research
financiers
Winton_Capital
physics
Renaissance_Technologies
James_Simons
moguls
quantitative
panics
overreaction
massive_data_sets
philanthropy
machine_learning
signals
human_factor
weak_links
JumpMath
Harding’s career is founded on the relentless pursuit of mathematical and scientific methods to predict movements in markets. This is a never-ending process because predictive tools lose their power as markets change; new ones are always needed. “We have 450 people in the company, of whom 250 are involved in research, data collection or technology,” he says. That is equivalent to a medium-sized university physics department....Harding's approach to making money is to exploit failures in the efficient market theory...the problem with the EMT is that “It treats economics like a physical science when, in fact, it is a human or social science. Humans are prone to unpredictable behaviour, to overreaction or slumbering inaction, to mania and panic.”...The Winton investment system is based instead on “the belief that scientific methods provide a good means of extracting meaning from noisy market data. We don’t make assumptions about how markets should work, rather we use advanced statistical techniques to seek patterns in huge data sets and base all our investment strategies on the analysis of empirical evidence...Harding emphasises the breadth and volume of investments involved, covering bonds, currencies, commodities, market indices and individual equities. The aim is to exploit a large number of weak predictive signals, he says: “We don’t expect to find any strong relationships between data and the price of the market. That may sound counter-intuitive but if there are strong relationships, someone else is going to be exploiting those. Weak relationships are where we have a competitive advantage.” Weather strategies are one feature of Winton research, including analysis of cloud cover and soil moisture levels to predict the prices of agricultural commodities. Other important indicators, for which maths can uncover value not fully reflected in market prices, include seasonal factors and inventory levels across supply chains....When I ask Harding about the use of machine learning and artificial intelligence to guide investment decisions, he bristles slightly. “There is a sudden upsurge of excitement about AI,” he says, “but we have used techniques that would be described as machine learning for at least 30 years.”

Essentially, he says, quantitative investing, self-driving cars and speech recognition are all applications of “information engineering”....he heads off to a lecture by German psychologist Gerd Gigerenzer, who runs the Harding Centre for Risk Literacy in Berlin

november 2016 by jerryking

Algorithms Aren’t Biased, But the People Who Write Them May Be - WSJ

october 2016 by jerryking

By JO CRAVEN MCGINTY

Oct. 14, 2016

A provocative new book called “Weapons of Math Destruction” has inspired some charged headlines. “Math Is Racist,” one asserts. “ Math Is Biased Against Women and the Poor,” declares another.

But author Cathy O’Neil’s message is more subtle: Math isn’t biased. People are biased.

Dr. O’Neil, who received her Ph.D in mathematics from Harvard, is a former Wall Street quant who quit after the housing crash, joined the Occupy Wall Street movement and now publishes the mathbabe blog.

algorithms
mathematics
biases
books
Cathy_O’Neil
Wall_Street
PhDs
quants
Occupy_Wall_Street
Harvard
value_judgements
Oct. 14, 2016

A provocative new book called “Weapons of Math Destruction” has inspired some charged headlines. “Math Is Racist,” one asserts. “ Math Is Biased Against Women and the Poor,” declares another.

But author Cathy O’Neil’s message is more subtle: Math isn’t biased. People are biased.

Dr. O’Neil, who received her Ph.D in mathematics from Harvard, is a former Wall Street quant who quit after the housing crash, joined the Occupy Wall Street movement and now publishes the mathbabe blog.

october 2016 by jerryking

Feeling uncertain, CEO? Better go on the attack - The Globe and Mail

may 2015 by jerryking

HARVEY SCHACHTER

Special to The Globe and Mail

Published Tuesday, May. 05 2015

Taking control of uncertainty is the fundamental leadership challenge of our time … ” he writes in The Attacker’s Advantage. “The advantage now goes to those who create change, not just learn to live with it. Instead of waiting and reacting, such leaders immerse themselves in the ambiguities of the external environment, sort through them before things are settled and known, set a path, and steer the organization decisively onto it.”

Harvey_Schachter
Ram_Charan
uncertainty
algorithms
mathematics
data
management_consulting
anomalies
change
Jack_Welch
books
gurus
offense
data_driven
leadership
ambiguities
offensive_tactics
Special to The Globe and Mail

Published Tuesday, May. 05 2015

Taking control of uncertainty is the fundamental leadership challenge of our time … ” he writes in The Attacker’s Advantage. “The advantage now goes to those who create change, not just learn to live with it. Instead of waiting and reacting, such leaders immerse themselves in the ambiguities of the external environment, sort through them before things are settled and known, set a path, and steer the organization decisively onto it.”

may 2015 by jerryking

James Stewart devoted his life to math and music - The Globe and Mail

december 2014 by jerryking

ROBERT EVERETT-GREEN

The Globe and Mail

Published Friday, Dec. 19 2014

obituaries
tributes
uToronto
mathematics
musicians
philanthropy
The Globe and Mail

Published Friday, Dec. 19 2014

december 2014 by jerryking

Meet the SEC’s Brainy New Crime Fighters - WSJ

december 2014 by jerryking

By SCOTT PATTERSON

Updated Dec. 14, 2014

The SEC is mustering its mathematical firepower in its Center for Risk and Quantitative Analytics, which was created last year soon after Mary Jo White took charge of the agency to help it get better at catching Wall Street misconduct. The enforcement unit, led by 14-year SEC veteran Lori Walsh, is housed deep within the warrens of the SEC’s Washington headquarters, and staffed by about 10 employees trained in fields such as mathematical finance, economics, accounting and computer programming.

Ms. Walsh says access to new sources of data and new ways of processing the data have been key to finding evidence of wrongdoing. “When you look at data in different ways, you see new things,” she said in an interview

alternative_data
analysis
analytics
arms_race
data
data_driven
enforcement
fresh_eyes
hiring
information_sources
mathematics
misconduct
models
modelling
patterns
perspectives
quantitative
quants
SEC
stockmarkets
Wall_Street
Updated Dec. 14, 2014

The SEC is mustering its mathematical firepower in its Center for Risk and Quantitative Analytics, which was created last year soon after Mary Jo White took charge of the agency to help it get better at catching Wall Street misconduct. The enforcement unit, led by 14-year SEC veteran Lori Walsh, is housed deep within the warrens of the SEC’s Washington headquarters, and staffed by about 10 employees trained in fields such as mathematical finance, economics, accounting and computer programming.

Ms. Walsh says access to new sources of data and new ways of processing the data have been key to finding evidence of wrongdoing. “When you look at data in different ways, you see new things,” she said in an interview

december 2014 by jerryking

Add it up: Two new books reveal the way math is woven through our lives - The Globe and Mail

july 2014 by jerryking

SIOBHAN ROBERTS

Special to The Globe and Mail

Published Friday, Jun. 27 2014

The Grapes of Math

By Alex Bellos

Doubleday, 337 pages, $32.95

How Not to be Wrong

By Jordan Ellenberg

Penguin Press, 468 pages, $32.95

mathematics
books
book_reviews
Special to The Globe and Mail

Published Friday, Jun. 27 2014

The Grapes of Math

By Alex Bellos

Doubleday, 337 pages, $32.95

How Not to be Wrong

By Jordan Ellenberg

Penguin Press, 468 pages, $32.95

july 2014 by jerryking

A Billionaire Mathematician’s Life of Ferocious Curiosity - NYTimes.com

july 2014 by jerryking

JULY 7, 2014 | NYT | By WILLIAM J. BROAD

moguls
mathematics
hedge_funds
James_Simons
Renaissance_Technologies
july 2014 by jerryking

If you ever wondered how math class could help you later in life, here’s your answer - The Globe and Mail

june 2014 by jerryking

Jun. 18 2014 | The Globe and Mail | ERIN ANDERSSEN

Jordan Ellenberg’s new book, How Not to Be Wrong: The Power of Mathematical Thinking.

In a world brimming with information, math is an important tool to help spot statistical glitches and everyday fallacies, but it’s being lost. “Math is the science of not being wrong about things,” he writes. “Knowing math is like wearing a pair of X-ray specs that reveal hidden structures underneath the messy and chaotic surface of the world.”....Mathematical amateurs have all kinds of reasons to use math. It helps them learn the difference between correlation and causation, to see the flaw in statistics, to spot a sneaky sell.

“Math is the science of not being wrong.” Ellenberg writes. In the real world, it doesn’t just find the right answers – it teaches us to ask the right question in the first place.

mathematics
books
messiness
correlations
anomalies
numeracy
mistakes
sleaze
questions
tools
ratios
asking_the_right_questions
causality
statistics
in_the_real_world
Jordan Ellenberg’s new book, How Not to Be Wrong: The Power of Mathematical Thinking.

In a world brimming with information, math is an important tool to help spot statistical glitches and everyday fallacies, but it’s being lost. “Math is the science of not being wrong about things,” he writes. “Knowing math is like wearing a pair of X-ray specs that reveal hidden structures underneath the messy and chaotic surface of the world.”....Mathematical amateurs have all kinds of reasons to use math. It helps them learn the difference between correlation and causation, to see the flaw in statistics, to spot a sneaky sell.

“Math is the science of not being wrong.” Ellenberg writes. In the real world, it doesn’t just find the right answers – it teaches us to ask the right question in the first place.

june 2014 by jerryking

What Shanghai can teach us about teaching math - The Globe and Mail

april 2014 by jerryking

NATHAN VANDERKLIPPE

SHANGHAI — The Globe and Mail

Published Friday, Apr. 04 2014

Shanghai
China
mathematics
teaching
SHANGHAI — The Globe and Mail

Published Friday, Apr. 04 2014

april 2014 by jerryking

Math wrath: Parents and teachers demanding a return to basic skills - The Globe and Mail

january 2014 by jerryking

CAROLINE ALPHONSO And ALLAN MAKI

TORONTO and CALGARY — The Globe and Mail

Published Tuesday, Jan. 07 2014,

To battle poor math scores, parents in Ontario, Alberta and British Columbia started petitions over the Christmas holidays asking governments to revamp curriculums so that a greater emphasis is put on basic math skills and less on discovery or creative strategies.

mathematics
students
parenting
PISA
standardized_testing
test-score_data
TORONTO and CALGARY — The Globe and Mail

Published Tuesday, Jan. 07 2014,

To battle poor math scores, parents in Ontario, Alberta and British Columbia started petitions over the Christmas holidays asking governments to revamp curriculums so that a greater emphasis is put on basic math skills and less on discovery or creative strategies.

january 2014 by jerryking

Canada needs a revolution in math education | Toronto Star

december 2013 by jerryking

By: John Mighton Published on Sun Dec 08 2013

mathematics
education
december 2013 by jerryking

The damaging legacy of discovery learning - The Globe and Mail

december 2013 by jerryking

Konrad Yakabuski

The Globe and Mail

Published Thursday, Dec. 05 2013

The 2012 math rankings from the Programme for International Student Assessment, in which Canada slipped to 13th place, are based on average test scores..... it’s important to distinguish between what Canada’s notable drop in international student rankings can and can’t tell us about how our kids our doing.

First, some context: The two most damaging developments to hit public education have been the power of teaching fads and the proliferation of standardized testing. Fads are dangerous because they are often based on shaky hypotheses about how children learn, and are blindly embraced by impressionable teachers keen to make a difference but lacking in the experience and training needed to transmit knowledge or the talent to light the spark in their students.

Standardized testing is not bad in itself. But education policy has become hostage to testing data. The result is a disproportionate focus on raising the average scores of students from disadvantaged backgrounds and less emphasis on producing top students, regardless of income....As education historian and influential U.S. testing critic Diane Ravitch blogged after the latest PISA results were released, “what we cannot measure matters more. The scores tell us nothing about students’ imagination, their drive, their ability to ask good questions, their insight, their inventiveness, their creativity.”....[ Albert Einstein once said, “Not everything that can be counted counts, and not everything that counts can be counted.” Although many market research experts would say that quantitative research is the safest bet when one has limited resources, it can be dangerous to assume that it is always the best option.]. The decade-long drop in math scores among students outside Quebec corresponds with the spread of “discovery learning” in the classroom. The idea that students must be free to solve problems based on their unique learning styles popped up in the education literature in late 1960s and went mainstream in the 1990s. But there was a huge revolt when U.S. parents discovered Johnny couldn’t multiply; the pendulum has since swung back to teaching the basics.

Yet most English-Canadian school boards embraced some version of discovery learning even after it was being questioned south of the border. It fit with the “equity” mantra that permeated the jargon of education bureaucrats and ministers. “Reaching every student” became the theme of education policies aimed at bringing up the bottom with “student-centred learning.”

Konrad_Yakabuski
education
high_schools
rankings
PISA
STEM
mathematics
test-score_data
standardized_testing
metrics
students
imagination
drive
questions
insights
inventiveness
creativity
discoveries
The Globe and Mail

Published Thursday, Dec. 05 2013

The 2012 math rankings from the Programme for International Student Assessment, in which Canada slipped to 13th place, are based on average test scores..... it’s important to distinguish between what Canada’s notable drop in international student rankings can and can’t tell us about how our kids our doing.

First, some context: The two most damaging developments to hit public education have been the power of teaching fads and the proliferation of standardized testing. Fads are dangerous because they are often based on shaky hypotheses about how children learn, and are blindly embraced by impressionable teachers keen to make a difference but lacking in the experience and training needed to transmit knowledge or the talent to light the spark in their students.

Standardized testing is not bad in itself. But education policy has become hostage to testing data. The result is a disproportionate focus on raising the average scores of students from disadvantaged backgrounds and less emphasis on producing top students, regardless of income....As education historian and influential U.S. testing critic Diane Ravitch blogged after the latest PISA results were released, “what we cannot measure matters more. The scores tell us nothing about students’ imagination, their drive, their ability to ask good questions, their insight, their inventiveness, their creativity.”....[ Albert Einstein once said, “Not everything that can be counted counts, and not everything that counts can be counted.” Although many market research experts would say that quantitative research is the safest bet when one has limited resources, it can be dangerous to assume that it is always the best option.]. The decade-long drop in math scores among students outside Quebec corresponds with the spread of “discovery learning” in the classroom. The idea that students must be free to solve problems based on their unique learning styles popped up in the education literature in late 1960s and went mainstream in the 1990s. But there was a huge revolt when U.S. parents discovered Johnny couldn’t multiply; the pendulum has since swung back to teaching the basics.

Yet most English-Canadian school boards embraced some version of discovery learning even after it was being questioned south of the border. It fit with the “equity” mantra that permeated the jargon of education bureaucrats and ministers. “Reaching every student” became the theme of education policies aimed at bringing up the bottom with “student-centred learning.”

december 2013 by jerryking

Why some countries are winning and others are losing in school rankings - The Globe and Mail

december 2013 by jerryking

DOUG SAUNDERS

Why some countries are winning and others are losing in school rankings Add to ...

Subscribers Only

The Globe and Mail

Published Tuesday, Dec. 03 2013,

rankings
high_schools
mathematics
Doug_Saunders
PISA
test-score_data
Why some countries are winning and others are losing in school rankings Add to ...

Subscribers Only

The Globe and Mail

Published Tuesday, Dec. 03 2013,

december 2013 by jerryking

How CSEC became an electronic spying giant - The Globe and Mail

december 2013 by jerryking

Nov. 30 2013 | The Globe and Mail | COLIN FREEZE.

Next year, the analysts, hackers and linguists who form the heart of Communications Security Establishment Canada are expected to move from their crumbling old campus in Ottawa to a gleaming new, $1-billion headquarters....Today, CSEC (pronounced like “seasick” ever since “Canada” was appended to the CSE brand) has evolved into a different machine: a deeply complex, deep-pocketed spying juggernaut that has seen its budget balloon to almost half a billion dollars and its ranks rise to more than 2,100 staff....You don’t have to understand the technology of modern spying to grasp the motivations behind it.

“When our Prime Minister goes abroad, no matter where he goes, what would be a boon for him to know?” said John Adams, chief of CSEC from 2005 through early 2012. “Do you think that they aren’t doing this to us?”...Electronic spying is expensive. Keeping hackers out of Canadian government computer systems, running some of the world’s fastest supercomputers and storing data in bulk costs money. Mr. Adams even made a point of hiring top mathematicians, with salaries exceeding his own, so CSEC could better crack encryption....CSEC also has a hungry clientele strewn across the federal bureaucracy. An internal document obtained by The Globe names a few of the customers: “CSEC provides intelligence reporting to over 1,000 clients across government, including the Privy Council Office, DND, Foreign Affairs and International Trade, Treasury Board Secretariat, CSIS and the RCMP.”

PCO
DND
CSIS
RCMP
Treasury_Board
Colin_Freeze
CSE
sigint
security_&_intelligence
cyber_warfare
cyber_security
Five_Eyes
Edward_Snowden
oversight
encryption
mathematics
GoC
intelligence_analysts
Next year, the analysts, hackers and linguists who form the heart of Communications Security Establishment Canada are expected to move from their crumbling old campus in Ottawa to a gleaming new, $1-billion headquarters....Today, CSEC (pronounced like “seasick” ever since “Canada” was appended to the CSE brand) has evolved into a different machine: a deeply complex, deep-pocketed spying juggernaut that has seen its budget balloon to almost half a billion dollars and its ranks rise to more than 2,100 staff....You don’t have to understand the technology of modern spying to grasp the motivations behind it.

“When our Prime Minister goes abroad, no matter where he goes, what would be a boon for him to know?” said John Adams, chief of CSEC from 2005 through early 2012. “Do you think that they aren’t doing this to us?”...Electronic spying is expensive. Keeping hackers out of Canadian government computer systems, running some of the world’s fastest supercomputers and storing data in bulk costs money. Mr. Adams even made a point of hiring top mathematicians, with salaries exceeding his own, so CSEC could better crack encryption....CSEC also has a hungry clientele strewn across the federal bureaucracy. An internal document obtained by The Globe names a few of the customers: “CSEC provides intelligence reporting to over 1,000 clients across government, including the Privy Council Office, DND, Foreign Affairs and International Trade, Treasury Board Secretariat, CSIS and the RCMP.”

december 2013 by jerryking

How to Fall in Love With Math - NYTimes.com

september 2013 by jerryking

By MANIL SURI

Published: September 15, 2013

mathematics
Published: September 15, 2013

september 2013 by jerryking

Seven characteristics of great education systems

september 2013 by jerryking

Sep. 02 2013 | The Globe and Mail | Editorials.

"Smartest Kids in the World"

* Mathematics is vital. Math is even more important than we knew. Math skills correlate highly with future income, and with academic success, research shows.

* Teachers should be highly prized. It should be difficult to become a teacher, and the job should be socially prestigious. Students, parents and bureaucrats respect teachers, because they know how hard it is to become one.

* Classroom technology is a waste of money. There’s no indication that fancy pedagogical doodads such as electronic whiteboards and tablets have a tangible effect on student performance.

* School should be about school. Rigour is key, and standards must be high.

* Extra help is widely available.

* Critical thinking is emphasized.

* No system is perfect. There are union squabbles, dissatisfied parents, policy shortcomings and rampant inefficiencies in even the highest-performing education systems.

books
education
howto
editorials
high_schools
ksfs
Finland
rigour
teachers
inefficiencies
mathematics
prestige
"Smartest Kids in the World"

* Mathematics is vital. Math is even more important than we knew. Math skills correlate highly with future income, and with academic success, research shows.

* Teachers should be highly prized. It should be difficult to become a teacher, and the job should be socially prestigious. Students, parents and bureaucrats respect teachers, because they know how hard it is to become one.

* Classroom technology is a waste of money. There’s no indication that fancy pedagogical doodads such as electronic whiteboards and tablets have a tangible effect on student performance.

* School should be about school. Rigour is key, and standards must be high.

* Extra help is widely available.

* Critical thinking is emphasized.

* No system is perfect. There are union squabbles, dissatisfied parents, policy shortcomings and rampant inefficiencies in even the highest-performing education systems.

september 2013 by jerryking

‘Choose a Humanities Major, But Minor In Math’ - At Work - WSJ

june 2013 by jerryking

June 6, 2013 | WSJ |By Cal Newport

career_paths
humanities
STEM
Colleges_&_Universities
mathematics
liberal_arts
Cal_Newport
june 2013 by jerryking

Building Numerical Literacy in the Very Young - NYTimes.com

april 2013 by jerryking

April 10, 2013 | NYT |By KIT EATON

parenting
mathematics
children
numeracy
literacy
april 2013 by jerryking

SAGICOR Visionaries Challenge National Finals -

april 2013 by jerryking

April 1, 2013 | Stabroek News |Dr. Maya Trotz is an Associate Professor of Environmental Engineering at the University of South Florida. She is currently on sabbatical with the Caribbean Science Foundation in Barbados.

Competitions feature teams of secondary school students who have come up with sustainable and innovative solutions to a challenge facing their school and/or community, solutions that use Science, Technology, Engineering and Mathematics (STEM).

By Maya Trotz

Caribbean
high_schools
contests
talent
science_&_technology
mathematics
STEM
Competitions feature teams of secondary school students who have come up with sustainable and innovative solutions to a challenge facing their school and/or community, solutions that use Science, Technology, Engineering and Mathematics (STEM).

By Maya Trotz

april 2013 by jerryking

Working With Big Data: The New Math - WSJ.com

march 2013 by jerryking

March 8, 2013| WSJ | By DEBORAH GAGE.

Researchers turn to esoteric mathematics to help make sense of it all.

New views [of old data are arriving] came courtesy of software that uses topology, a branch of math that compresses relationships in complex data into shapes researchers can manipulate and probe....

Better Tools

Seeking better tools than traditional statistical methods to analyze the vast amounts of data newly available to companies and organizations, researchers increasingly are scouring scientific papers and esoteric branches of mathematics like topology to make sense of complex data sets. The developer of the software used by Dr. Lum, Ayasdi, is just one of a small but growing number of companies working in this field.

So much data is now available, in such vast scope and minute detail, it is no longer useful to look at numbers neatly laid out in two-dimensional columns and rows,.....The research that inspired Ayasdi was funded by the Defense Advanced Research Projects Agency, or Darpa, and the National Science Foundation.......Data is so complex that using the same old methods, asking the same old questions, doesn't make sense....What is useful, he says, is to look at data arranged in shapes, using topology.

Topology is a form of geometry that relies on the way humans perceive shapes. We can see that an A is an A even when the letters are squashed or written in different fonts. Topology helps researchers look at a set of data and think about its similarities, even when some of the underlying details may be different....But topology is just one of the new methods being explored. Chris Kemp, former chief technology officer for IT at the National Aeronautics and Space Administration and now the chief executive of cloud computing company Nebula Inc., says he expects to see a renaissance in advanced mathematics and algorithms as companies increasingly realize how valuable data is and how cheaply they can store it.......Using graph theory, a tool similar to topology, IBM is mapping interactions of people on social networks, including its own. In diagrams based on the communications traffic, each person is a node, and communications between people are links. Graph-theory algorithms help discover the shortest path between the nodes, and thus reveal social cliques—or subcommunities—which show up because the cliques are more tightly interconnected than the community around them.......Tellagence's algorithms, for example, predicts how information will travel as it moves through social networks, but assumes that the network will change constantly, like the weather, and that what's most important about the data is the context in which it appears.

These techniques helped Tellagence do a bit of detective work for a Silicon Valley company that wanted to track down the source of some influential ideas being discussed online about the kind of integrated circuits it makes, known as field programmable gate arrays. Tellagence identified a group of more than 100 Japanese engineers involved in online discussions about the circuits. It then pinpointed two or three people whom traffic patterns showed were at the center of the conversation.

Tellagence's customer then devised a strategy to approach the engineers and potentially benefit from their ideas.

Says Tellagence CEO Matt Hixson, "We love to talk about people who have followers or friends, but these engineers were none of that—they had the right set of relationships because the right people listened to them."

algorithms
Ayasdi
DARPA
esoteric
IBM
infographics
massive_data_sets
mapping
mathematics
Nebula
networks
patterns
sense-making
Tellagence
the_right_people
tools
topology
visualization
Researchers turn to esoteric mathematics to help make sense of it all.

New views [of old data are arriving] came courtesy of software that uses topology, a branch of math that compresses relationships in complex data into shapes researchers can manipulate and probe....

Better Tools

Seeking better tools than traditional statistical methods to analyze the vast amounts of data newly available to companies and organizations, researchers increasingly are scouring scientific papers and esoteric branches of mathematics like topology to make sense of complex data sets. The developer of the software used by Dr. Lum, Ayasdi, is just one of a small but growing number of companies working in this field.

So much data is now available, in such vast scope and minute detail, it is no longer useful to look at numbers neatly laid out in two-dimensional columns and rows,.....The research that inspired Ayasdi was funded by the Defense Advanced Research Projects Agency, or Darpa, and the National Science Foundation.......Data is so complex that using the same old methods, asking the same old questions, doesn't make sense....What is useful, he says, is to look at data arranged in shapes, using topology.

Topology is a form of geometry that relies on the way humans perceive shapes. We can see that an A is an A even when the letters are squashed or written in different fonts. Topology helps researchers look at a set of data and think about its similarities, even when some of the underlying details may be different....But topology is just one of the new methods being explored. Chris Kemp, former chief technology officer for IT at the National Aeronautics and Space Administration and now the chief executive of cloud computing company Nebula Inc., says he expects to see a renaissance in advanced mathematics and algorithms as companies increasingly realize how valuable data is and how cheaply they can store it.......Using graph theory, a tool similar to topology, IBM is mapping interactions of people on social networks, including its own. In diagrams based on the communications traffic, each person is a node, and communications between people are links. Graph-theory algorithms help discover the shortest path between the nodes, and thus reveal social cliques—or subcommunities—which show up because the cliques are more tightly interconnected than the community around them.......Tellagence's algorithms, for example, predicts how information will travel as it moves through social networks, but assumes that the network will change constantly, like the weather, and that what's most important about the data is the context in which it appears.

These techniques helped Tellagence do a bit of detective work for a Silicon Valley company that wanted to track down the source of some influential ideas being discussed online about the kind of integrated circuits it makes, known as field programmable gate arrays. Tellagence identified a group of more than 100 Japanese engineers involved in online discussions about the circuits. It then pinpointed two or three people whom traffic patterns showed were at the center of the conversation.

Tellagence's customer then devised a strategy to approach the engineers and potentially benefit from their ideas.

Says Tellagence CEO Matt Hixson, "We love to talk about people who have followers or friends, but these engineers were none of that—they had the right set of relationships because the right people listened to them."

march 2013 by jerryking

Lars V. Hormander, Mathematician, Dies at 81 - NYTimes.com

december 2012 by jerryking

By BRUCE SCHECHTER

Published: December 6, 2012

mathematics
obituaries
Published: December 6, 2012

december 2012 by jerryking

Cool Maths?

september 2012 by jerryking

September 10, 2012 | Kaieteur News | Filed Under Editorial

mathematics
Guyana
editorials
september 2012 by jerryking

Science, Technology, Engineering, and Math (STEM) and the Caribbean Science Foundation

september 2012 by jerryking

August 27, 2012 | - Stabroek News - Guyana | By Maya Trotz

Colleges_&_Universities
UWI
Caribbean
STEM
mathematics
september 2012 by jerryking

Is Algebra Necessary? -

july 2012 by jerryking

July 28, 2012 | NYTimes.com | By ANDREW HACKER.

Peter Braunfeld of the University of Illinois tells his students, “Our civilization would collapse without mathematics.” He’s absolutely right.

Algebraic algorithms underpin animated movies, investment strategies and airline ticket prices. And we need people to understand how those things work and to advance our frontiers.

Quantitative literacy clearly is useful in weighing all manner of public policies, from the Affordable Care Act, to the costs and benefits of environmental regulation, to the impact of climate change. Being able to detect and identify ideology at work behind the numbers is of obvious use. Ours is fast becoming a statistical age, which raises the bar for informed citizenship. What is needed is not textbook formulas but greater understanding of where various numbers come from, and what they actually convey....mathematics teachers at every level could create exciting courses in what I call “citizen statistics.” This would not be a backdoor version of algebra, as in the Advanced Placement syllabus. Nor would it focus on equations used by scholars when they write for one another. Instead, it would familiarize students with the kinds of numbers that describe and delineate our personal and public lives.

It could, for example, teach students how the Consumer Price Index is computed, what is included and how each item in the index is weighted — and include discussion about which items should be included and what weights they should be given.

This need not involve dumbing down. Researching the reliability of numbers can be as demanding as geometry. More and more colleges are requiring courses in “quantitative reasoning.” In fact, we should be starting that in kindergarten.

I hope that mathematics departments can also create courses in the history and philosophy of their discipline, as well as its applications in early cultures. Why not mathematics in art and music — even poetry — along with its role in assorted sciences? The aim would be to treat mathematics as a liberal art, making it as accessible and welcoming as sculpture or ballet.

mathematics
algorithms
numeracy
infoliteracy
public_policy
CPI
liberal_arts
engaged_citizenry
quantitative
value_judgements
logic_&_reasoning
cross-disciplinary
Peter Braunfeld of the University of Illinois tells his students, “Our civilization would collapse without mathematics.” He’s absolutely right.

Algebraic algorithms underpin animated movies, investment strategies and airline ticket prices. And we need people to understand how those things work and to advance our frontiers.

Quantitative literacy clearly is useful in weighing all manner of public policies, from the Affordable Care Act, to the costs and benefits of environmental regulation, to the impact of climate change. Being able to detect and identify ideology at work behind the numbers is of obvious use. Ours is fast becoming a statistical age, which raises the bar for informed citizenship. What is needed is not textbook formulas but greater understanding of where various numbers come from, and what they actually convey....mathematics teachers at every level could create exciting courses in what I call “citizen statistics.” This would not be a backdoor version of algebra, as in the Advanced Placement syllabus. Nor would it focus on equations used by scholars when they write for one another. Instead, it would familiarize students with the kinds of numbers that describe and delineate our personal and public lives.

It could, for example, teach students how the Consumer Price Index is computed, what is included and how each item in the index is weighted — and include discussion about which items should be included and what weights they should be given.

This need not involve dumbing down. Researching the reliability of numbers can be as demanding as geometry. More and more colleges are requiring courses in “quantitative reasoning.” In fact, we should be starting that in kindergarten.

I hope that mathematics departments can also create courses in the history and philosophy of their discipline, as well as its applications in early cultures. Why not mathematics in art and music — even poetry — along with its role in assorted sciences? The aim would be to treat mathematics as a liberal art, making it as accessible and welcoming as sculpture or ballet.

july 2012 by jerryking

globeadvisor.com: Living in the real world of finance

january 2012 by jerryking

December 9, 2011 | G&M | by David Parkinson.

Both a scientist and financial guru, Emanuel Derman warns of relying on mathematical models to predict stock movements. As David Parkinson reports, investors should beware the wild card of human nature...Mr. Derman was in Toronto discussing his new book, Models. Behaving. Badly: Why Confusing Illusion With Reality Can Lead to Disaster, on Wall Street and in Life.

DAVID PARKINSON

boundary_conditions
finance
quantitative
Wall_Street
Colleges_&_Universities
books
physics
models
mathematics
stockmarkets
biases
modelling
dangers
false_confidence
human_factor
stock_picking
illusions
oversimplification
in_the_real_world
Both a scientist and financial guru, Emanuel Derman warns of relying on mathematical models to predict stock movements. As David Parkinson reports, investors should beware the wild card of human nature...Mr. Derman was in Toronto discussing his new book, Models. Behaving. Badly: Why Confusing Illusion With Reality Can Lead to Disaster, on Wall Street and in Life.

DAVID PARKINSON

january 2012 by jerryking

Fly Me to the Moon

january 2012 by jerryking

December 5, 2004 | NYT | By THOMAS L. FRIEDMAN...."give me an America that is energy-independent and I will give you sharply reduced oil revenues for the worst governments in the world. I will give you political reform from Moscow to Riyadh to Tehran. Yes, deprive these regimes of the huge oil windfalls on which they depend and you will force them to reform by having to tap their people instead of oil wells. These regimes won't change when we tell them they should. They will change only when they tell themselves they must....If President Bush made energy independence his moon shot, he would dry up revenue for terrorism; force Iran, Russia, Venezuela and Saudi Arabia to take the path of reform - which they will never do with $45-a-barrel oil - strengthen the dollar; and improve his own standing in Europe, by doing something huge to reduce global warming. He would also create a magnet to inspire young people to contribute to the war on terrorism and America's future by becoming scientists, engineers and mathematicians. "This is not just a win-win," said the Johns Hopkins foreign policy expert Michael Mandelbaum. "This is a win-win-win-win-win."

career_paths
deprivations
energy
energy_independence
energy_security
engineering
mathematics
moonshots
NSF
oil_industry
petro-politics
SAIS
STEM
Tom_Friedman
win-win
youth
young_people
january 2012 by jerryking

A five-step lesson plan for parents

november 2011 by jerryking

Sep 8, 2004 | The Globe and Mail pg. A.19 | Charles Ungerleider.

ProQuest
parenting
reading
values
mathematics
education
children
schools
november 2011 by jerryking

Top secret institute comes out of the shadows to recruit top talent

october 2011 by jerryking

Sep. 05, 2011 | The Globe and Mail | Colin Freeze. While this

“signals-intelligence” agency has its own stable of hundreds of code

makers and code crackers, it often finds itself needing periodic

infusions of cutting-edge academic work to stay current. So, two years

ago, the CSEC hired Hugh Williams, who some describe as a “rock star”

mathematician at the University of Calgary, to lead the effort to put

together the Tutte Institute. Last year, the spy agency built a home for

the institute on its sprawling Ottawa campus.

mathematics
security_&_intelligence
CSE
cryptology
Colleges_&_Universities
espionage
talent
Ottawa
research
sigint
“signals-intelligence” agency has its own stable of hundreds of code

makers and code crackers, it often finds itself needing periodic

infusions of cutting-edge academic work to stay current. So, two years

ago, the CSEC hired Hugh Williams, who some describe as a “rock star”

mathematician at the University of Calgary, to lead the effort to put

together the Tutte Institute. Last year, the spy agency built a home for

the institute on its sprawling Ottawa campus.

october 2011 by jerryking

Too many teachers can't do math, let alone teach it -

september 2011 by jerryking

Sep. 29, 2011 | The Globe and Mail | MARGARET WENTE

Margaret_Wente
mathematics
education
teachers
teaching
Colleges_&_Universities
september 2011 by jerryking

Many Variables in a New York Math Museum - NYTimes.com

june 2011 by jerryking

By KENNETH CHANG

Published: June 27, 2011

mathematics
museums
hedge_funds
Published: June 27, 2011

june 2011 by jerryking

A Better Way to Teach Math - NYTimes.com

april 2011 by jerryking

April 18, 2011 NYT By DAVID BORNSTEIN

mathematics
teaching
students
april 2011 by jerryking

Why do Bill Gates and Google love Salman Khan? - The Globe and Mail

december 2010 by jerryking

Tim Kiladze

From Friday's Globe and Mail

Published Wednesday, Nov. 24, 2010 7:29PM EST

Last updated Friday, Nov. 26, 2010

billgates
Google
YouTube
web_video
education
mathematics
Salman_Khan
Khan_Academy
From Friday's Globe and Mail

Published Wednesday, Nov. 24, 2010 7:29PM EST

Last updated Friday, Nov. 26, 2010

december 2010 by jerryking

Turning Math into Cash

november 2010 by jerryking

March/April 2010 |Technology Review, 113(2), 58-61 | William Bulkeley.

ProQuest
mathematics
IBM
analytics
november 2010 by jerryking

American Dream is Changing | Nye - Gateway to Nevada's Rurals

october 2010 by jerryking

Oct. 31, 2010 | Nye Gateway | by Fareed Zakaria. What can

you do to make yourself thrive in this new global economy? (1) Be

unique. Try to do something that is a specialized craft or art,

something that is as much art as craft, something that feels more like

artisanship than routine work, things that are custom & custom-made

still survive. (2) Go local. Do something that can’t be outsourced,

jobs involving personal face-to-face contact will never go to India. (3)

Be indispensable. Can everyone become indispensable? Well, no, but if

you learn a difficult craft and are good at it, if you can collaborate

well, synthesize well, put things together, work with others and work

well across countries and cultures, you will have a leg-up. (4) Learn a

foreign language (e.g. Spanish or Mandarin or Hindi). (5) Excel at

mathematics, able to manipulate data, algorithms, symbols, graphs,

balance sheets and all of these skills are the essential skills for a

knowledge-based economy.

Fareed_Zakaria
21st._century
ksfs
indispensable
specialization
local
languages
mathematics
organizing_data
advice
new_graduates
artisan_hobbies_&_crafts
bespoke
quantitative
global_economy
digital_economy
knowledge_economy
the_American_dream
in-person
face2face
uniqueness
you do to make yourself thrive in this new global economy? (1) Be

unique. Try to do something that is a specialized craft or art,

something that is as much art as craft, something that feels more like

artisanship than routine work, things that are custom & custom-made

still survive. (2) Go local. Do something that can’t be outsourced,

jobs involving personal face-to-face contact will never go to India. (3)

Be indispensable. Can everyone become indispensable? Well, no, but if

you learn a difficult craft and are good at it, if you can collaborate

well, synthesize well, put things together, work with others and work

well across countries and cultures, you will have a leg-up. (4) Learn a

foreign language (e.g. Spanish or Mandarin or Hindi). (5) Excel at

mathematics, able to manipulate data, algorithms, symbols, graphs,

balance sheets and all of these skills are the essential skills for a

knowledge-based economy.

october 2010 by jerryking

Knowledge of math = personal success + better citizenship - The Globe and Mail

september 2010 by jerryking

September 2, 2010 | Globe & Mail editorial.

Modern citizens should be able to approach quantitative studies and claims both critically and respectfully. Indeed, non-scientific lay people may be better able to evaluate them than they expect, because statistical studies often depend upon some quite loose, non-mathematical concepts, and common sense may detect imprecision and even fallacies in the very premises of the research in question.

Democracy and the market economy, in this age of mathematical science, require a public that is numerate enough to have some sense of what is valid - and won't just acquiesce or shrug their shoulders.

citizenship
civics
democracy
engaged_citizenry
fallacies_follies
imprecision
infoliteracy
life_skills
mathematics
numeracy
Modern citizens should be able to approach quantitative studies and claims both critically and respectfully. Indeed, non-scientific lay people may be better able to evaluate them than they expect, because statistical studies often depend upon some quite loose, non-mathematical concepts, and common sense may detect imprecision and even fallacies in the very premises of the research in question.

Democracy and the market economy, in this age of mathematical science, require a public that is numerate enough to have some sense of what is valid - and won't just acquiesce or shrug their shoulders.

september 2010 by jerryking

David Blackwell, 91, Statistician and Mathematician, Dies - Obituary (Obit) - NYTimes.com

july 2010 by jerryking

July 16, 2010 | New York Times | By WILLIAM GRIMES

mathematics
racism
obituaries
statistics
july 2010 by jerryking

Group Think - Opinionator Blog - NYTimes.com

may 2010 by jerryking

May 2, 2010 | New York Times | By STEVEN STROGATZ

mathematics
group_theory
mattresses
symmetry
may 2010 by jerryking

Chances Are - Opinionator Blog - NYTimes.com

may 2010 by jerryking

April 25, 2010 | New York Times | By STEVEN STROGATZ. NOTES:

1. For a good textbook treatment of conditional probability and

Bayes’s theorem, see:

S.M. Ross, “Introduction to Probability and Statistics for

Engineers and Scientists,” 4th edition (Academic Press, 2009).

4. For many entertaining anecdotes and insights about conditional

probability and its real-world applications, as well as how it’s

misperceived, see:

J.A. Paulos, “Innumeracy” (Vintage, 1990);

L. Mlodinow, “The Drunkard’s Walk” (Vintage, 2009).

statistics
mathematics
books
probabilities
risks
luck
chance
contingency
innumeracy
anecdotal
1. For a good textbook treatment of conditional probability and

Bayes’s theorem, see:

S.M. Ross, “Introduction to Probability and Statistics for

Engineers and Scientists,” 4th edition (Academic Press, 2009).

4. For many entertaining anecdotes and insights about conditional

probability and its real-world applications, as well as how it’s

misperceived, see:

J.A. Paulos, “Innumeracy” (Vintage, 1990);

L. Mlodinow, “The Drunkard’s Walk” (Vintage, 2009).

may 2010 by jerryking

The Best New York Times Business Columnist You've Never Heard Of - Michael Schrage -

may 2010 by jerryking

April 29, 2010 | Harvard Business Review | by Michael Schrage.

Bigs up Steven Strogatz of the NYT whose columns have quickly become

"must reads" for entrepreneurs and executives who grasp that mathematics

is now the "lingua franca" of serious business analysis.

HBR
mathematics
competingonanalytics
Michael_Schrage
Communicating_&_Connecting
Bigs up Steven Strogatz of the NYT whose columns have quickly become

"must reads" for entrepreneurs and executives who grasp that mathematics

is now the "lingua franca" of serious business analysis.

may 2010 by jerryking

Take It to the Limit - Opinionator Blog - NYTimes.com

april 2010 by jerryking

April 4, 2010, 5:00 pm

Take It to the Limit

By STEVEN STROGATZ

mathematics
Take It to the Limit

By STEVEN STROGATZ

april 2010 by jerryking

New approaches to quantifying the spread of infect... [Nat Rev Microbiol. 2005] - PubMed result

march 2010 by jerryking

Traditional approaches to mathematical modelling of infectious

diseases deal most effectively with large outbreaks in large

populations. The desire to elucidate the highly variable dynamics of

disease spread amongst small numbers of individuals has fuelled the

development of models that depend more directly on surveillance and

contact-tracing data. This signals a move towards a closer interplay

between epidemiological modelling, surveillance and disease-management

strategies.

models
mathematics
surveillance
disease
disease_surveillance
market_segmentation
size
flu_outbreaks
epidemiology
infections
diseases deal most effectively with large outbreaks in large

populations. The desire to elucidate the highly variable dynamics of

disease spread amongst small numbers of individuals has fuelled the

development of models that depend more directly on surveillance and

contact-tracing data. This signals a move towards a closer interplay

between epidemiological modelling, surveillance and disease-management

strategies.

march 2010 by jerryking

Op-Ed Columnist - America’s Real Dream Team - NYTimes.com

march 2010 by jerryking

March 20, 2010 | New York Times | By THOMAS L. FRIEDMAN. The

majority of the 40 finalists in the 2010 Intel Science Talent Search,

which, through a national contest, identifies and honors the top math

and science high school students in America, based on their solutions to

scientific problems-- hailed from immigrant families, largely from

Asia.

Tom_Friedman
high_schools
students
immigration
immigrants
Intel
contests
talent
science_&_technology
mathematics
majority of the 40 finalists in the 2010 Intel Science Talent Search,

which, through a national contest, identifies and honors the top math

and science high school students in America, based on their solutions to

scientific problems-- hailed from immigrant families, largely from

Asia.

march 2010 by jerryking

Questions For Harry Markopolos - Math Is Hard - Interview - NYTimes.com

march 2010 by jerryking

By DEBORAH SOLOMON

Published: February 25, 2010

finance
fraud
mathematics
corruption
banking
Bernard_Madoff
regulation
SEC
securities_enforcement
securities_industry
Published: February 25, 2010

march 2010 by jerryking

Looking for a Date? A Site Says Check the Data - NYTimes.com

february 2010 by jerryking

February 12, 2010 | New York Times | by JENNA WORTHAM

mathematics
competingonanalytics
data_driven
dating
relationships
online_dating
february 2010 by jerryking

From Fish to Infinity - Opinionator Blog - NYTimes.com

february 2010 by jerryking

January 31, 2010, 9:30 pm

From Fish to Infinity

By STEVEN STROGATZ

mathematics
blog
From Fish to Infinity

By STEVEN STROGATZ

february 2010 by jerryking

Keep Waiting for the Bus or Walk? Math Has the Answer

january 2010 by jerryking

January 24, 2008 | The Informed Reader - WSJ | by Robin Moroney

transportation
decision_making
mathematics
january 2010 by jerryking

Studying Young Minds, and How to Teach Them

december 2009 by jerryking

December 20, 2009 | New York Times | By BENEDICT CAREY. For

much of the last century, educators and many scientists believed that

children could not learn math at all before the age of five, that their

brains simply were not ready.

But recent research has turned that assumption on its head — that, and a

host of other conventional wisdom about geometry, reading, language and

self-control in class. The findings, mostly from a branch of research

called cognitive neuroscience, are helping to clarify when young brains

are best able to grasp fundamental concepts.

education
children
parenting
development
mathematics
learning
early_childhood_education
neurosciences
human_brains
childhood
much of the last century, educators and many scientists believed that

children could not learn math at all before the age of five, that their

brains simply were not ready.

But recent research has turned that assumption on its head — that, and a

host of other conventional wisdom about geometry, reading, language and

self-control in class. The findings, mostly from a branch of research

called cognitive neuroscience, are helping to clarify when young brains

are best able to grasp fundamental concepts.

december 2009 by jerryking

Fields Institute - Overview

november 2009 by jerryking

The Fields Institute is a center for mathematical research

activity - a place where mathematicians from Canada and abroad, from

business, industry and financial institutions, can come together to

carry out research and formulate problems of mutual interest. Our

mission is to provide a supportive and stimulating environment for

mathematics innovation and education. The Fields Institute promotes

mathematical activity in Canada and helps to expand the application of

mathematics in modern society.

uToronto
mathematics
finance
activity - a place where mathematicians from Canada and abroad, from

business, industry and financial institutions, can come together to

carry out research and formulate problems of mutual interest. Our

mission is to provide a supportive and stimulating environment for

mathematics innovation and education. The Fields Institute promotes

mathematical activity in Canada and helps to expand the application of

mathematics in modern society.

november 2009 by jerryking

The Gripping Statistic : How to Make Your Data Matter

september 2009 by jerryking

Mon Aug 10, 2009 | Fast Company | By Dan Heath & Chip

Heath. A good statistic is one that aids a decision or shapes an opinion. For a stat to do either of those, it must be dragged within the everyday (e.g. using ratios or useful analogies). That's your job -- to do the dragging. In our world of billions and trillions, that can be a lot of manual labor. But it's worth it: A number people can grasp is a number that can make a difference.

analogies
base_rates
Cisco
Communicating_&_Connecting
contextual
data
data_journalism
high-impact
mathematics
narratives
numeracy
persuasion
probabilities
ratios
statistics
storytelling
sense-making
value_creation
Heath. A good statistic is one that aids a decision or shapes an opinion. For a stat to do either of those, it must be dragged within the everyday (e.g. using ratios or useful analogies). That's your job -- to do the dragging. In our world of billions and trillions, that can be a lot of manual labor. But it's worth it: A number people can grasp is a number that can make a difference.

september 2009 by jerryking

Two Centuries On, a Cryptologist Cracks a Presidential Code - WSJ.com

july 2009 by jerryking

JULY 2, 2009 | Wall Street Journal | by RACHEL EMMA SILVERMAN

mathematics
cryptology
Thomas_Jefferson
security_&_intelligence
july 2009 by jerryking

Pick a Number, Any Number - Forbes.com

may 2009 by jerryking

03.12.07 | Forbes Magazine | Donal O'Shea

mathematics
innumeracy
numeracy
may 2009 by jerryking

The Drunkard's Walk: How Randomness Rules Our Lives: Leonard Mlodinow

may 2009 by jerryking

Mlodinow introduces important historical figures such as

Bernoulli, Laplace and Pascal, emphasizing their ideas rather than their

tumultuous private lives. Mlodinow defines such tricky concepts as

regression to the mean and the law of large numbers, which should help

readers as they navigate the daily deluge of election polls and new

studies on how to live to 100. The author also carefully avoids veering

off into the terra incognita of chaos theory aside from a brief mention

of the famous butterfly effect, although he might have spent a little

more time on the equally famous n-body problem that led to chaos theory.

Books on randomness and statistics line library shelves, but Mlodinow

will help readers sort out Mark Twain's damn lies from meaningful

statistics and the choices we face every day.

randomness
book_reviews
mathematics
probabilities
statistics
Bernoulli, Laplace and Pascal, emphasizing their ideas rather than their

tumultuous private lives. Mlodinow defines such tricky concepts as

regression to the mean and the law of large numbers, which should help

readers as they navigate the daily deluge of election polls and new

studies on how to live to 100. The author also carefully avoids veering

off into the terra incognita of chaos theory aside from a brief mention

of the famous butterfly effect, although he might have spent a little

more time on the equally famous n-body problem that led to chaos theory.

Books on randomness and statistics line library shelves, but Mlodinow

will help readers sort out Mark Twain's damn lies from meaningful

statistics and the choices we face every day.

may 2009 by jerryking

Do the math? Not our kids

april 2009 by jerryking

13/02/07 | The Globe & Mail | MARGARET WENTE. The current

teaching and take-up of math in Canadian high schools is a national

disgrace.

innumeracy
mathematics
numeracy
syllabus
curriculum
Margaret_Wente
filetype:pdf
media:document
teaching and take-up of math in Canadian high schools is a national

disgrace.

april 2009 by jerryking

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