Birds & Natural History 2015 Catalog

We are pleased to present our new Birds & Natural History catalog for 2015. Take a look below!

Don’t miss The Kingdon Field Guide to African Mammals, now in its second edition by Jonathan Kingdon. Immerse yourself in the world of the African landscape with 780 beautiful color photographs and newly updated information.

Love penguins? Who doesn’t? New by Tui De Roy, Mark Jones & Julie Cornthwaite, we have Penguins: The Ultimate Guide, a stunning book chock-full of color photographs featuring these funny little birds in their natural habitat. Take in these beautiful images while learning about the innovative science that is helping us better understand the parts of a penguin’s life that we don’t usually get to see.

Finally, check out our Warbler Guide app on Apple iOS® as the Warblers begin their yearly migration! It allows you to identify types of birds by look and song. This app puts all the information in The Warbler Guide by Tom Stephenson and Scott Whittle right in your pocket.

You can peruse our catalog above for more leading titles in Birds & Natural History. If you’d like email updates on new titles, please go here to sign up!

#MammothMonday: Can We Clone a Mammoth?

08_shapiro_plate blog

In today’s #MammothMonday post, Beth Shapiro addresses a frequently asked question, “Can we clone a mammoth, if so when is it going to happen?”  In answering, Shapiro brings up a crucial point: What is the audience willing to consider a mammoth? Find out her answer and learn more about How to Clone a Mammoth: The Science of De-Extinction in this video:

Be sure to read Chapter 1.

Math Drives Careers: Author Louis Gross

Gross jacketLouis Gross, distinguished professor in the departments of ecology, evolutionary biology, and mathematics at the University of Tennessee, is the author, along with Erin Bodine and Suzanne Lenhart, of Mathematics for the Life Sciences. For our third installment in the Math Awareness Month series, Gross writes on the role mathematics and rational consideration have played in his career, and in his relationship with his wife, a poet.

Math as a Career-builder and Relationship-broker

My wife is a poet. We approach most any issue with very different perspectives. In an art gallery, she sees a painting from an emotional level, while I focus on the methods the artist used to create the piece. As with any long-term relationship, after many years together we have learned to appreciate the other’s viewpoint and while I would never claim to be a poet, I have helped her on occasion to try out different phrasings of lines to bring out the music. In the reverse situation, the searching questions she asks me about the natural world (do deer really lose their antlers every year – isn’t this horribly wasteful?) force me to consider ways to explain complex scientific ideas in metaphor. As the way I approach science is heavily quantitative, with much of my formal education being in mathematics, this is particularly difficult without resorting to ways of thought that to me are second nature.

The challenges in explaining how quantitative approaches are critical to science, and that science advances in part through better and better ways to apply mathematics to the responses of systems we observe around us, arise throughout education, but are particularly difficult for those without a strong quantitative bent. An example may be helpful. One of the central approaches in science is building and using models – these can be physical ones such as model airplanes, they can be model systems such as an aquarium or they can be phrased in mathematics or computer code. The process of building models and the theories that ultimately arise from collections of models, is painstaking and iterative. Yet each of us build and apply models all the time. Think of the last time you entered a supermarket or a large store with multiple checkout-lines. How did you decide what line to choose? Was it based on how many customers were in each line, how many items they had to purchase, or whether they were paying with a check or credit card? Did you take account of your previous experience with that check-out clerk if you had it, or your experience with using self-checkout at that store? Was the criterion you used some aspect of ease of use, or how quickly you would get through the line? Or was it something else such as how cute the clerk was?

As the check-out line example illustrates, your decision about what is “best” for you depends on many factors, some of which might be quite personal. Yet somehow, store managers need to decide how many clerks are needed at each time and how to allocate their effort between check-out lines and their other possible responsibilities such as stocking shelves. Managers who are better able to meet the needs of customers, so they don’t get disgusted with long lines and decide not to return to that store, while restraining the costs of operation, will likely be rewarded. There is an entire field, heavily mathematical, that has been developed to better manage this situation. The jargon term is “queuing models” after the more typically British term for a waiting line. There is even a formal mathematical way of thinking about “bad luck” in this situation, e.g. choosing a line that results in a much longer time to be checked out than a different line would have.

While knowing that the math exists to help decide on optimal allocation of employee effort in a store will not help you in your decision, the approach of considering options, deciding upon your criteria and taking data (e.g. observations of the length of each line) to guide your decision is one that might serve you well independent of your career. This is one reason why many “self-help” methods involve making lists. Such lists assist you in deciding what factors (in math we call these variables) matter to you, how to weight the importance of each factor (we call these parameters in modeling) and what your objective might be (costs and benefits in an economic sense). This process of rational consideration of alternative options may assist you in many aspects of everyday life, including not just minor decisions of what check-out line to go into, but major ones such as what kind of car or home to purchase, what field to major in and even who to marry! While I can’t claim to have followed a formal mathematical approach in deciding on the latter, I have found it helpful throughout my marriage to use an informal approach to decision making. I encourage you to do so as well.

Check out Chapter 1 of Mathematics for the Life Sciences here.

Jeff Nunokawa on the day after taxes

Comprised of 250 handpicked meditations from a Facebook page that has garnered past attention from The New Yorker, Note Book  by Jeff Nunokawa is a new kind of literary work for the age of social media. The New Yorker called the notes “evidence of Nunokawa’s dawning sense of the importance of being earnest,” while Jeff himself says he wants his meditations to “note truth, but encourage”.  On a day that might call for both, Jeff turns his attention on Facebook to the aftermath of tax day:

4484. Day After Taxes

Unbalanced in the painful sum of things (Merrill, “For Proust”)

You wake up feeling that you still owe something, but you’re not really sure what, or to whom. And you’re worried that you don’t have what it takes to pay off your debt all at once. Maybe you can pay it in monthly installments, but how can you even do that if you don’t know what you owe or to whom?  Is it the Internal Revenue Service that’s still after you, or the Eternal One? (Maybe they’ve finally merged.)

I hope my father did my taxes, a young friend said the other night. I used to hope that, too.

Someone should look for an agent. Maybe that agent is you.


Note: Your suit is granted (Herbert, “Redemption”)

Check our website for more about Note Book, including a sample chapter.


Alan Turing’s handwritten notebook brings $1 million at auction

turing jacket

Alan Turing: The Enigma

Old journals can be fascinating no matter who they belong to, but imagine looking over the old notebook of the mathematician credited with breaking German codes during WWII.

The Associated Press and other venues reported that a handwritten notebook by British code-breaker Alan Turing, subject of the 2014 Oscar-winning film “The Imitation Game,” a movie based on our book, Alan Turing: The Enigma, brought more than $1 million at auction from an anonymous buyer on Monday. Originally given to Turing’s mathematician-friend Robin Gandy, the notebooks are thought to be the only ones of their kind, and contain Turing’s early attempts to chart a universal language, a precursor to computer code. (In an interesting personal wrinkle, Gandy had used the blank pages for notes on his dreams, noting that, “It seems a suitable disguise to write in between these notes of Alan’s on notation, but possibly a little sinister; a dead father figure, some of whose thoughts I most completely inherited.”)

Andrew Hodges, author of Alan Turing: The Enigma, commented that “the notebook sheds more light on how Turing ‘remained committed to free-thinking work in pure mathematics.'” To learn more about the life of Turing, check out the book here.

Math Drives Careers: Author Oscar Fernandez

We know that mathematics can solve problems in the classroom, but what can it do for your business? Oscar Fernandez, author of Everyday Calculus, takes a look at how knowledge of numbers can help your bottom line.

Why You Should Be Learning Math Even If You Don’t Need It for Your Job

I want to tell you a short story about epic triumph in the midst of adversity. Okay, I’m exaggerating a bit, but hear me out.

A couple of years ago, I approached Boston Scientific—an S&P 500 component—with a crazy idea: let me and a team of students from Wellesley College (a liberal arts college for women) and Babson College (a business school) do consulting work for you. It was a crazy idea because what could I—a mathematician who knew nothing about their business—and some students—who hadn’t even graduated yet—possibly offer the company? Plenty, it turns out, all thanks to our common expertise: mathematics.

Mathematics, often depicted in movies as something pocket-protector-carrying people with less than stellar social skills do, is actually quite ubiquitous. I’d even say that mathematicians are the unsung heroes of the world. Alright, that’s a bit of hyperbole. But think about it. Deep in the catacombs of just about every company, there are mathematicians. They work in low light conditions, hunched over pages of calculations stained with days-old coffee, and think up ways to save the company money, optimize their revenue streams, and make their products more desired. You may never notice their efforts, but you’ll surely notice their effects. That recent change in the cost of your flight? Yep, it was one of us trying to maximize revenue. The reason that UPS truck is now waking you up at 6 a.m.? One of us figured out that the minimum cost route passes through your street.

But we’re do-good people too. We help optimize bus routes to get children to school faster and safer. We’ve spent centuries modelling the spread of disease. More recently, we’ve even reduced crime by understanding how it spreads. That’s why I was confident that my team and I could do something useful for Boston Scientific. Simply put, we knew math.

We spent several weeks pouring over data the company gave us. We tried everything we could think of to raise their revenues from certain products. Collectively, we were trained in mathematics, economics, computer science, and psychology. But nothing worked. It seemed that we—and math—had failed.

Then, with about three weeks left, I chanced upon an article from the MIT Technology Review titled “Turning Math Into Cash.” It describes how IBM’s 200 mathematicians reconfigured their 40,000 salespeople over a period of two years and generated $1 billion in additional revenue. Wow. The mathematicians analyzed the company’s price-sales data using “high-quantile modeling” to predict the maximum amount each customer was willing to spend, and then compared that to the actual revenue generated by the sales teams. IBM then let these mathematicians shuffle around salespeople to help smaller teams reach the theoretical maximum budget of each customer. Genius, really.

I had never heard of quantile regression before, and neither had my students, but one thing math does well is to train you to make sense of things. So we did some digging. We ran across a common example of quantile modelling: food expenditure vs. household income. There’s clearly a relationship, and in 1857 researchers quantified the relationship for Belgian households. They produced this graph:

fernandez 1

That red line is the linear regression line—the “best fit to the data.” It’s useful because the slope of the line predicts a 50 cent increase in food expenditure for a $1 increase in household income. But what if you want information about the food expenditure of the top 5% of households, or the bottom 20%? Linear regression can’t give you that information, but quantile regression can. Here’s what you get with quantile regression:

fernandez 2

The red line is the linear regression line, but now we also have various quantile regression lines. To understand what they mean let’s focus on the top-most dashed line, which is the 95th percentile line. Households above this line are in the 95th percentile (or 0.95 quantile) of food expenditure. Similarly, households below the bottom-most line are in the 5th percentile (or 0.05 quantile) of food expenditure. Now, if we graph the slopes of the lines as a function of the percentile (also called “quantile”), we get:

fernandez 3

(The red line is the slope of the linear regression line; it doesn’t depend on the quantile, which is why it’s a straight line.) Notice that the 0.95 quantile (95th percentile) slope is about 0.7, whereas the 0.05 quantile (5th percentile) slope is about 0.35. This means that for every $1 increase in household income, this analysis predicts that households in the 95th percentile of food expenditure will spend 70 cents more, whereas households in the 5th percentile will spend only 35 cents more.

Clearly quantile regression is powerful stuff. So, my team and I went back and used quantile regression on the Boston Scientific data. We came up with theoretical maximum prices that customers could pay based on the region the product was sold in. As with IBM, we identified lots of potential areas for improvement. When my students presented their findings to Boston Scientific, the company took the work seriously and was very impressed with what a few students and one professor could do. I can’t say we generated $1 billion in new revenue for Boston Scientific, but what I can say is that we were able to make serious, credible recommendations, all because we understood mathematics. (And we were just a team of 5 working over a period of 12 weeks!)

April is Mathematics Awareness Month, and this year’s theme is “math drives careers.” After my Boston Scientific experience and after reading about IBM’s success, I now have a greater appreciation of this theme. Not only can mathematics be found in just about any career, but if you happen to be the one to find it (and use it), you could quickly be on the fast track to success. So in between celebrating March Madness, Easter, Earth Day, and April 15th (I guess you’d only celebrate if you’re due a tax refund), make some time for math. It just might change your career.

Photo by Richard Howard.

Photo by Richard Howard.

Oscar Fernandez is the author of Everyday Calculus. He is assistant professor of mathematics at Wellesley College.

Beth Shapiro Talk, Q&A and Book Signing

Shapiro Image for blog 3.30.15

Beth Shapiro, author of How to Clone a Mammoth, will be giving a talk on “Conserving Ecosystems with De-Extinction” on Tuesday, May 12, 2015. This event is presented by Town Hall, Elliot Bay Book Company, and the Pacific Science Center through The Seattle Science Lectures. More information about the event and a link to buy tickets can be found, here.

#MammothMonday: What to Bring Back?

How to Clone a Mammoth

Welcome to another #MammothMonday. Beth Shapiro, author of How to Clone a Mammoth, was recently called by Brian Switek of National Geographic, “the perfect guide to the ongoing discussion about de-extinction.” Today, she continues in that role, answering the question, “What to Bring Back?” In this fascinating video, Beth discusses the thinking behind the decision to bring back a large mammal as opposed to passenger pigeons.

What do you think about the debate around cloning mammoths?

Christopher Bail on anti-Muslim sentiment

In this clip from the documentary, sociologist and author Christopher Bail discusses whether the sea change in American public opinion about Islam over the past few years may have contributed to the recent murder of three young Muslims in Chapel Hill, North Carolina. His recent book, Terrified, employs computer analytics techniques to show how anti-Muslim organizations have gained visibility in the public sphere. In this clip, Bail speaks with a close friend of one of the victims. You can watch the entire documentary here.

Last month, Bail spoke with Paul Rosenberg at Salon about his innovative new methodology for studying how fear is fostered in the broader cultural landscape. He was interviewed about the aftermath of the Chapel Hill shootings in the Guardian earlier this year.

Katherine Freese, author of “The Cosmic Cocktail,” at the Royal Astronomical Society

Freese RAS talk

Katherine Freese speaking at the Royal Astronomical Society

Only 5 percent of all matter and energy in the cosmos (think plants, animals, planets, the air we breathe) is made up of ordinary atoms. The rest is known as dark matter—it cannot be seen with telescopes, and its precise identity remains unknown. The Cosmic Cocktail is the inside story of the epic quest to identify dark matter and learn what the universe is made of, told by one of today’s foremost pioneers in the study of dark matter, acclaimed theoretical physicist Katherine Freese. Neil deGrasse Tyson calls the book “a gripping first person account of her life as a cosmologist…Part memoir, part tutorial, part social commentary.” It’s the perfect detective story for science geeks.

Freese post-talk

Post-event drinks at the Royal Astronomical Society

This week, Katherine Freese is in the UK talking about her research and the book. On April 8, she gave a talk at the Royal Astronomical Society and then recorded The Forum on the BBC World Service, which was presented by science journalist Quentin Cooper and will be broadcast and available to listen to online later this month.

Freese and Quinton Cooper

Freese and Quentin Cooper

Don’t miss Freese’s upcoming speaking engagements: On April 15th, Freese and PUP author Jacqueline Mitton will be participating in Edinburgh International Science Festival and on April 16th Freese will be speaking at Blackwell’s in Oxford. Freese will be a guest on BBC Radio 4’s Woman’s Hour on April 17th. On May 26th, she will be speaking at Hay Festival, a philosophy and music festival in Hay-on-Wye, (one of the biggest literary festivals in the UK, which was described by Bill Clinton in 2001 as “The Woodstock of the mind”).

Freese recording The Forum at BBC

Freese recording at BBC Broadcasting House


March Mathness 2015: The Wrap Up


The champion has been crowned! After an eventful and surprising March Madness tournament, Duke has been named the new NCAA national champion.

A year of bragging rights goes to PUP paperbacks manager Larissa Skurka (98.6 percent) and PUP executive math and computer science editor Vickie Kearn (98.4 percent), who took first and second place in our ESPN bracket pool. Congrats to both! Check out all of the results here.

As we wrap up March Mathness, here are two final guest posts from basketball fans who used math and Tim Chartier‘s methods to create their brackets.

 Swearing by Bracketology

By Jeff Smith

My name is Jeff Smith, and I’ve been using Tim Chartier’s math algorithms to help with my March Madness brackets for several years now. I met Tim when we were traveling the ‘circuit’ together in creative ministries training. You may only know Tim for his math prowess, but I knew him for his creativity before I knew he was a brilliant mathematician. He and his wife, Tanya, are professional mimes, and his creativity is genius too.

Several years ago, he mentioned his method for picking brackets at a conference where we were doing some training together. He promised to send me the home page for his site and I could fill out my brackets using his parameters and formula. I was excited to give it a shot. Mainly, because I am part of a men’s group at our church that participates in March Madness brackets every year. Bragging rights are a big deal…for the whole year. You get the picture.

Also, I have two boys who did get one of my genes: the competitive edge. I sat down and explained the process. Because they did not know Tim, they were a little more skeptical, but I promised it wouldn’t hurt to try. That year, in a pool of 40+ guys, we all finished in the top ten. We were all hooked!

Since then, I have contacted Tim each year and reminded him to send me the link to his site where I could put in our numbers to fill out our brackets. Generally, the three of us each incorporate different parameters because we have different philosophies about the process. It has become a family event, where we sit around the dinner table; almost ceremonially, and we take our output and place them in the brackets. The submission is generally preceded by trash talking, prayer, and fasting. (Well, probably not the fasting, because we fill up with nachos and chips during the process.)

Jeff post

Men of March Mathness: Jeff, Samuel, Ben Smith.

This year, I was in South Africa on a mission trip during the annual ritual. Thank God for video chatting and internet access. Halfway across the world, we were still able to be together and place our brackets into the pool. It was such a wonderful experience. While my boys veered from the path, picking intuitively instead of statistically, I didn’t stray far. (I was strong!) If it wouldn’t have been for Villanova, whom I will never choose again in a bracket, I would be leading the pack. But, I’m still in the top ten of the men’s bracket at my church, with an outside shot of winning. In the Princeton bracket, I’m doing even better because I stayed away from the guessing game a little more.

I do not follow college basketball during the season. I’m from central Pennsylvania, and Penn State doesn’t have a good basketball team. So, I have no passion for the basketball season. Periodically, I’ll watch a game because my boys are watching, but generally, basketball season is the long wait until baseball season. (Go Pirates!) So, March Mathness has saved my reputation. It makes me look like a genius. Other guys in the group are looking at my bracket for answers. My boys and I are sworn to secrecy about the formula. The only reason I write this is because I’m sure none of them read this blog! But I’m thankful for Tim and the formula and the chance to look good in front of friends. I have never won the pool, however, if you factor my finishes over the course of the years I have been using Tim’s formula, I have the best average of all the guys.


 What Do Coaches Have to Do with It?

By Stephen Gorman, College of Charleston student


It’s that time of year again. The time of year when everyone compares brackets to see who did the best. But if your bracket was busted early, don’t worry — you’re not the only one. In fact, nobody came out of the tournament with a perfect bracket.

The unpredictability of these games is an inescapable fact of March Madness. This tournament is so incredibly unpredictable that some people are willing to give out billions to anyone who can create a perfect bracket; Warren Buffett is one of these people. So is he crazy? Or does he realize your odds of creating a perfect bracket are 52 billion times worse than winning the Powerball. In layman’s terms – if you think playing the lottery is crazy, trying to create the perfect bracket is insane.

However, once you can accept the statistics, predicting March Madness becomes a game of bettering you’re odds – and there are many predictive models that can help you out along the way. Some of these models include rating methods, like the Massey method, which takes into account score differentials and strength of schedule. In addition to this, there are weighting methods that can be applied to rating methods; these take into account the significance of particular games and even individual player statistics. However, I noticed there is one thing missing from these predictive models: a method that quantifies the value of a good coach. In order to take into account the importance of a coach, a fellow researcher (John Sussingham) and I decided to create our own rating system for coaches.

Using data available from, we made a system of rating that incorporated such factors as the coach’s career win percentage, March Madness appearances, and the record of success in March Madness. But before we implemented it, we wanted to justify that it was, indeed, a good way to quantify the strength of a coach. In order to do this, we tested the coach ratings in two ways. The first way being a comparison between how sports writers ranked the top 10 College Basketball coaches of all time and what our coach ratings said were the best coaches of all time. The second way was to test how the coach ratings did by themselves at predicting March Madness.

The comparison of the rankings are shown in the table below:

Rank Our Results CBS Sports Results Bleacher Report Results
1 John Wooden John Wooden John Wooden
2 Mike Krzyzewski Mike Krzyzewski Bobby Knight
3 Adolph Rupp Bob Knight Mike Krzyzewski
4 Jim Boeheim Dean Smith Adolph Rupp
5 Dean Smith Adolph Rupp Dean Smith
6 Roy Williams Henry Iba Jim Calhoun
7 Jerry Tarkanian Phog Allen Jim Boeheim
8 Al McGuire Jim Calhoun Lute Olson
9 Bill Self John Thompson Eddie Sutton
10 Jamie Dixon Jim Boeheim Jim Phelan

It is clear from the table above that there are striking similarities between all three rankings. This concluded our first test.

For the second test, we decided to use the coach ratings to predict the last fourteen years of March Madness. The results showed that over the last fourteen years, on average, coach ratings had 68.4 precent prediction accuracy and an ESPN bracket score of 946. As a comparison, the uniform (un-weighted) Massey method of rating (over the same timespan) had an average prediction accuracy of 65.2 precent and an average ESPN bracket score of 1006. Having a higher prediction accuracy, but lower ESPN bracket score essentially means that you have predicted more games correctly in the beginning of the tournament, but struggle in the later rounds. This comes to show that not only are these ratings good at predicting March Madness, but they stand their ground when compared to the effectiveness of very popular methods of rating.

To conclude this article, we decided that, this year, we would combine both the Massey ratings and our Coach ratings to make a bracket for March Madness. Over the last fourteen years, the combination-rating had an average prediction accuracy of 66.33 percent and an average ESPN bracket score of 1024. It’s interesting to note that while the prediction accuracy went down from just using the Coach ratings, the ESPN bracket score went up significantly. Even more interestingly, both the prediction accuracy and the ESPN Bracket score were better than uniform Massey.

This year, the combination-ratings had three out of the four Final Four teams correctly predicted with Kentucky beating Duke in the Championship. However, the undefeated Kentucky lost to Wisconsin in the Final Four. Despite this, the combination-ratings bracket still did well, finishing in the 87.6th percentile on ESPN.

Madness in Civilization

Madness in Civilization is a stunningly illustrated new cultural history of mental disturbance from antiquity to the present time.  Written by Andrew Scull, professor of sociology at University of California, San Diego and preeminent historian of psychiatry, the book’s mesmerizing subject matter ranges from exorcisms to Victorian asylums, from pharmacology to the introduction of psychiatry into popular culture. The Telegraph called it “ambitious and gruesome”, and the book has received wonderful write-ups in The Literary Review and The Financial Times. Scull has been blogging for Psychology Today as well, where he shares insights on his fascinating and frightening work. Check out chapter 1 here, and a slide show of some of the book’s most compelling images:

Types of Insanity
The Tranquilizer, 1811
Maniac in a strait-jacket, in a French asylum.
Battle Creek Sanitarium
Battle Creek Sanitarium
The first stage of General Faradization
The second stage of General Faradization
The third stage of General Faradization
Attitudes passionelles: extase (1878)
Advert for the psychiatric drug Thorazine
Depression Advertisement
Murder of Thomas Becket
Franz Joseph Gall examining the head of a pretty young girl
Hieronymus Bosch's The Cure of the Folly
Nebuchadnezzar as a wild animal
No Sex Please! (We're on antidepressants)

'Types of Insanity,' the frontispiece to John Charles Bucknill and Daniel Hack Tucke's A Manual of Psychological Medicine (1858), one of the first widely used textbooks on the diagnosis and treatment of insanity. Wellcome Library, London.

The Tranquilizer, 1811. Its inventor Benjamin Rush boasted that: "Its effects have been truly delightful to me." His patients' reactions are not recorded. Courtesy of the U.S. National Library of Medicine, Bethesda, Maryland

The French alienist J.-E.D. Equirol included many drawings of insane patients in the throes of their madness, such as this one, in his treatise Des Maladies mentales, published in 1938. Wellcome Library, London.

Photography at the Battle Creek Sanitarium, one of many therapies on offer there. 271

A postcard of the Battle Creek Sanitarium, for affluent and nervous patients. By 1933 it had been forced into receivership, a causality of the Great Depression. The Tichnor Brothers Collection, Boston Public Library.

Treatment with an electrical vibrator (1900); a nurse applies faradic current to a female patient. Wellcome Library, London.

Treatment with an electrical vibrator (1900); a nurse applies faradic current to a female patient. Wellcome Library, London.

Treatment with an electrical vibrator (1900); a nurse applies faradic current to a female patient. Wellcome Library, London.

The erotic overtones of Charcot’s pictures of his hysterical patients at the Salpêtrière are nowhere more obvious than here. Harvey Cushing/John Jay Whitney Medical Library, Yale University, New Haven.

An early advertisement for the virtues of Thorazine, touting its value in curbing the agitated husband's inclination to beat his wife. Wellcome Library, London.

Depressed? We have the solution! An advertisement for 'mother's little helper' - a pill for the housewife trapped in a prison of domesticity. Harvey Cushing/John Jay Whitney Medical Library, Yale University, New Haven.

A vivid portrayal of the murder of Thomas Becket, from a mid-thirteenth century codex. The saint's blood was thought to cure insanity, blindness, leprosy, and deafness, not to mention a host of other aliments. Walters Art Museum, Baltimore.

Franz Joseph Gall examines the head of an attractive young woman, while three gentlemen wait their turns to have their own characters read, in a satirical image published in 1825. Wellcome Library, London.

Hieronymus Bosch’s The Cure of the Folly: The Extraction of the Stone of Madness (c. 1494). A doctor, possibly a quack, uses a scalpel to remove the supposed cause of madness from the head of the patient. Museo del Prado, Madrid.

Nebuchadnezzar as a wild animal, his hair grown long and his nails like claws. This striking image of the biblical story of the Babylonian king’s madness is a detail from a manuscript painted by an unknown artist in Regensburg, Germany. Paul J. Getty Museum, Los Angeles (Ms. 33, fol. 215v)

Types of Insanity thumbnail
The Tranquilizer, 1811 thumbnail
Maniac in a strait-jacket, in a French asylum. thumbnail
Battle Creek Sanitarium thumbnail
Battle Creek Sanitarium thumbnail
The first stage of General Faradization thumbnail
The second stage of General Faradization thumbnail
The third stage of General Faradization thumbnail
Attitudes passionelles: extase (1878) thumbnail
Advert for the psychiatric drug Thorazine thumbnail
Depression Advertisement thumbnail
Murder of Thomas Becket thumbnail
Franz Joseph Gall examining the head of a pretty young girl thumbnail
Hieronymus Bosch's The Cure of the Folly thumbnail
Nebuchadnezzar as a wild animal thumbnail
No Sex Please! (We're on antidepressants) thumbnail