On Media Coverage of Math
Edited by Mike Breen and Annette Emerson, AMS Public Awareness Officers
"The news should start with mathematics, then poetry, and move down from there," from The Humans, by Matt Haig.
See also: The AMS Blog on Math Blogs: Mathematicians tour the mathematical blogosphere. PhD mathematicians Evelyn Lamb and Anna Haensch blog on blogs that have posts related to mathematics research, applied mathematics, mathematicians, math in the news, mathematics education, math and the arts, and more. Recent posts: "PCMI Blog Roundup" by Evelyn Lamb and "Talking 'Art of Mathematics' with its Creators" by Anna Haensch.
Most of the previous summary is based on the story from The Washington Post. In the other coverage below: Erickson focuses on coach Po-Shen Loh, who went to high school in Madison, WI; Gates writes about Seyoon Ragavan of Australia, who won a gold medal and helped the team finish sixth overall, its highest finish ever; Chakrabarti interviews coach Loh, and team members Ryan Alweiss and Yang Liu; and the CTV story is about Alex Song, of the Canadian team, who earned a perfect score at the IMO for his paper.
--- Mike Breen
Want to know what size lead a basketball team needs in order to have a 90 percent chance of winning in the remaining seconds of the game? Just take the square root of the number of remaining seconds and multiply by 0.4602. That's the conclusion of work by Aaron Clauset, a computer scientist at the University of Colorado at Boulder, and his collaborators Marina Kogan and Sidney Redner. After analyzing a huge amount of data from basketball, football, and hockey games, they formulated "a simple model in which the score difference randomly moves up or down over time," the New Scientist says. The model is surprisingly accurate, considering that it incorporates no features of the games. It works well for games like basketball, where the scores are fairly large numbers, but is not very reliable for games like soccer, where scores are small. "[S]o you probably shouldn't use it when betting on the English Premier League," the magazine says. Image: Probability that a lead is safe versus the dimensionless lead size for NBA games, showing the prediction from an equation in the paper (eq. 15), the empirical data, and the mean prediction for Bill James's well-known "safe lead" heuristic, courtesy of Aaron Clauset, Marina Kogan, and Sidney Redner.
See "Winning formula reveals if your team is too far ahead to lose," by Gilead Amit. New Scientist, 11 July 2015 and "Lucky Bounce," by Marcus Woo. Slate, 18 June 2015.
--- Allyn Jackson
Below we've cited one of several news articles that describe the story of an error--which turned out not to be an error--found by 15-year-old Joseph Rosenfeld in the "Mathematica: A World of Numbers...and Beyond" exhibit at the Museum of Science in Boston, Massachusetts. During a visit to the museum on June 4 with his family, Rosenfeld saw that what appeared to be the formula for the Golden Ratio contained a minus sign, and not a plus sign, between the two terms in the numerator. After Rosenfeld left a note to that effect at the front desk of the museum, the museum sent a letter to the Rosenfeld family, agreeing that the minus sign was wrong and that they would correct it, if they could do so without damaging the exhibit. However, once news of this story went viral, others quickly noticed that the exhibit had in fact used the reciprocal of the Golden Ratio, correctly identified as φ in the display. On June 8, the museum released a statement, explaining that "the way the Museum present the Golden Ratio in its exhibit is in fact the less common--but no less accurate--way to present it." Image: The exhibit’s stated value is on the left. It represents the ratio of the short side to the long side in a golden rectangle. Undoubtedly, Rosenfeld was thinking of the value on the right, which is the reciprocal ratio.
See "Math error at Museum of Science? Not so fast." by Cristela Guerra. The Boston Globe, 8 July 2015.
--- Claudia Clark
Mathematician Eugenia Cheng could be an excellent role model for young women who would like to become mathematicians. She's a successful mathematician who has recently written a book that has received a good deal of attention. But she would rather that role models were unnecessary and people believed that any career is possible, regardless of gender. Cheng grew up in an egalitarian household with both parents working professional jobs. Her dad was often the primary caregiver and prepared the family meals. She attended an all-girls school so gender expectations were never apparent. "Plenty of girls chose math and science. Thinking back now, it's funny to imagine a class full of girls who have chosen physics. But at the time, we thought nothing of it," Cheng explained. The head of her high school tried to dissuade her from studying math in college claiming that the boys would be better prepared than she. Despite the warning, she pursued the subject and excelled. Although Cheng wishes there was no longer a need for "female" role models she understands that "many people need to see women succeeding at things in order to be convinced that it is possible." Photo: RoundTurnerPhotography.com.
See "Why I Don’t Like Being a 'Female Role Model'," by Eugenia Cheng. Bright, 7 July 2015.
Also see previous summary of media coverage of Cheng and her work on Math Digest, On Math and art, by Claudia Clark; "Combining Math and Music" video; "Happy Pi Day" video; and links to reviews of her recent book, How To Bake Pi: An Edible Exploration of the Mathematics of Mathematics.
Group theorists are working to ensure that one of their most important proofs--of the Enormous Theorem--remains accessible to future generations that are unable to tackle the 15,000 pages the proof currently requires. The Enormous Theorem shows that finite simple group, the building blocks of finite groups, can be partitioned into four categories, and it lists all of the categories. The proof consists of more than 100 journal articles written over decades, and as the mathematicians who first completed it reach their seventies, they are rushing to draft a shorter, "second generation" proof so that their successors will be able to understand and build upon its enormity. The author notes that despite the seeming obscurity of the theorem to the general public, our society has a pattern of scientific advances based on principles proved decades in the past, suggesting opportunities for the Enormous Theorem's future.
See "The Whole Universe Catalog," by Stephen Ornes. Scientific American, July 2015, pages 68-75.
--- Lisa DeKeukeleare
A recently-published study has shown that two factors--being recognized for mathematical abilities and having an interest in mathematics--play a much larger role than simply doing well in mathematics in determining whether a student pursues a major in mathematics or other quantitative subject. The study, "Establishing an Explanatory Model for Mathematics Identity," appeared in the July/August issue of the journal Child Development. Some 9,000 college calculus students were surveyed for the study. Study researcher Zahra Hazari notes, "I think the story is you have to develop competence. But if you feel like you can do it, that’s not enough. You need to become interested in math or recognized for your math abilities to continue on." She adds that "recognition is even more important for women. If they feel that they have the abilities, and they’re never recognized, then they’re even less likely to become math people."
See "Why Many Students With A's in Math Don't Major in It," by Jill Bashay. US News & World Report, 22 June 2015. The research on which this article is based appears in "Establishing an Explanatory Model for Mathematics Identity," Cribbs, Hazari, Sonnert, and Sadler. Child Development, July/August 2015 (subscription required for full access).
--- Claudia Clark
Jobs in science, technology, mathematics, and engineering (STEM)-related fields are on the rise, according to the 2015 CareerCast survey of the 200 most populated U.S. jobs. Accounting for characteristics like hiring outlook, salary, and work environment, the survey ranked actuary as the top job, followed by mathematician at #3, statistician at #4, and data scientist at #6. Actuaries often work for insurance and financial companies and analyze statistics to determine the financial consequences of current and future risk, with a median salary of $94,209. The 2015 survey marks the first time that STEM jobs dominated the top 10, and the article notes that there are more STEM jobs available than qualified people to fill them, which means employers are more likely to offer favorable hiring packages with flexible schedules to win out amongst the competition.
See "Math, science skills add up to more job opportunities: Survey," by Sarah O'Brien. CNBC, 15 June 2015.
--- Lisa DeKeukelaere
Erica Klarreich begins this article by discussing a puzzle that first appeared over 150 years ago in the Lady’s and Gentleman’s Diary, a recreational mathematics journal. "Fifteen young ladies in a school walk out three abreast for seven days in succession: it is required to arrange them daily, so that no two shall walk twice abreast," "abreast" meaning in a group. Klarreich notes that "its publication helped launch a field of mathematics called combinatorial design theory [that has] applications in experiment design, error-correcting codes, cryptography, tournament brackets and even the lottery." Yet, Klarreich writes, "the most fundamental question in the field remained unanswered: Do such puzzles usually have solutions?" Now that problem has a solution: in January 2014, Peter Keevash, a young mathematician at the University of Oxford, "established that, apart from a few exceptions, designs will always exist if the divisibility requirements are satisfied." In a second paper posted in April on the scientific preprint site arxiv.org, Keevash showed how to count the approximate number of designs for given parameters.
See "A Design Dilemma Solved, Minus Designs," by Erica Klarreich, Quanta Magazine, 9 June 2015.
--- Claudia Clark
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