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Amylin Replacement With Pramlintide in Type 1 and Type 2 Diabetes: A Physiological Approach to Overcome Barriers With Insulin Therapy

John B. Buse
Jul 1, 2002; 20:
Feature Articles




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The Disparate Impact of Diabetes on Racial/Ethnic Minority Populations

Edward A. Chow
Jul 1, 2012; 30:130-133
Diabetes Advocacy




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Standards of Medical Care in Diabetes--2016 Abridged for Primary Care Providers

American Diabetes Association
Jan 1, 2016; 34:3-21
Position Statements




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What's So Tough About Taking Insulin? Addressing the Problem of Psychological Insulin Resistance in Type 2 Diabetes

William H. Polonsky
Jul 1, 2004; 22:147-150
Practical Pointers




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A Real-World Approach to Insulin Therapy in Primary Care Practice

Irl B. Hirsch
Apr 1, 2005; 23:78-86
Practical Pointers




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Standards of Medical Care in Diabetes--2018 Abridged for Primary Care Providers

American Diabetes Association
Jan 1, 2018; 36:14-37
Position Statements




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Standards of Medical Care in Diabetes--2017 Abridged for Primary Care Providers

American Diabetes Association
Jan 1, 2017; 35:5-26
Position Statements




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Standards of Medical Care in Diabetes--2015 Abridged for Primary Care Providers

American Diabetes Association
Apr 1, 2015; 33:97-111
Position Statements




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Microvascular and Macrovascular Complications of Diabetes

Michael J. Fowler
Apr 1, 2008; 26:77-82
Diabetes Foundation




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Heroic Consciousness: What it is and How to Acquire it

By Scott T. Allison This blog post is excerpted from: Allison, S. T. (2019). Heroic consciousness. Heroism Science, 4, 1-43.   The philosopher Yuval Noah Harari (2018) recently described consciousness as “the greatest mystery in the universe”. What exactly is heroic consciousness? It is a way of seeing the world, perceiving reality, and making decisions … Continue reading Heroic Consciousness: What it is and How to Acquire it




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The Heroic Leadership Imperative

Allison, S. T. & Goethals, G. R. (2020). The heroic leadership imperative: How leaders inspire and mobilize change. West Yorkshire: Emerald. Our next book describes a new principle that we call the heroic leadership imperative. We show how leaders who fulfill the imperative will inspire followers and initiate social change.   The imperative consists of … Continue reading The Heroic Leadership Imperative



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COVID-19 Pandemic Turns Heroism Upside-Down

By Scott T. Allison William James, who authored the first psychology texbook, was taken and moved by the quiet heroism in everyday working people. He noticed “the great fields of heroism lying round about” him. He was mesmerized by small, seemingly inconsequential everyday acts that, in effect, exemplified unsung heroism in everyone. Before the COVID-19 … Continue reading COVID-19 Pandemic Turns Heroism Upside-Down



  • Commentary and Analysis

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10 Examples of Heroism Arising From the COVID-19 Pandemic

By Scott T. Allison In any tragedy or crisis, you will see many people standing out and stepping up to save lives and make the world a better place. These heroic individuals can range from leaders of nations to ordinary citizens who rise to the occasion to help others in need. During this COVID-19 pandemic, … Continue reading 10 Examples of Heroism Arising From the COVID-19 Pandemic




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The Miniseries ‘Devs’ Delivers a Delicious Dose of Heroism and Villainy

By Scott T. Allison Devs is the ideal TV mini-series for people to sink their teeth into, for many reasons: (1) It’s both science and science-fiction; (2) it’s brilliant mix of psychology, philosophy, religion, and technology; (3) it tantalizes us with the mysteries of love, life, death, time, and space; and (4) it features a … Continue reading The Miniseries ‘Devs’ Delivers a Delicious Dose of Heroism and Villainy



  • Commentary and Analysis

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(Even) God is a Satisficer

To 'satisfice' means "To decide on and pursue a course of action that will satisfy the minimum requirements necessary to achieve a particular goal." (Oxford English Dictionary). Herbert Simon (1978 Nobel Prize in Economics) was the first to use the term in this technical sense, which is an old alteration of the ordinary English word "satisfy". Simon wrote (Psychological Review, 63(2), 129-138 (1956)) "Evidently, organisms adapt well enough to 'satisfice'; they do not, in general, 'optimize'." Agents satisfice, according to Simon, due to limitation of their information, understanding, and cognitive or computational ability. These limitations, which Simon called "bounded rationality", force agents to look for solutions which are good enough, though not necessarily optimal. The optimum may exist but it cannot be known by the resource- and information-limited agent.

There is a deep psychological motivation for satisficing, as Barry Schwartz discusses in Paradox of Choice: Why More Is Less. "When people have no choice, life is almost unbearable." But as the number and variety of choices grows, the challenge of deciding "no longer liberates, but debilitates. It might even be said to tyrannize." (p.2) "It is maximizers who suffer most in a culture that provides too many choices" (p.225) because their expectations cannot be met, they regret missed opportunities, worry about social comparison, and so on. Maximizers may acquire or achieve more than satisficers, but satisficers will tend to be happier.

Psychology is not the only realm in which satisficing finds its roots. Satisficing - as a decision strategy - has systemic or structural advantages that suggest its prevalence even in situations where the complexity of the human psyche is irrelevant. We will discuss an example from the behavior of animals.

Several years ago an ecological colleague of mine at the Technion, Prof. Yohay Carmel, posed the following question: Why do foraging animals move from one feeding site to another later than would seem to be suggested by strategies aimed at maximizing caloric intake? Of course, animals have many goals in addition to foraging. They must keep warm (or cool), evade predators, rest, reproduce, and so on. Many mathematical models of foraging by animals attempt to predict "patch residence times" (PRTs): how long the animal stays at one feeding patch before moving to the next one. A common conclusion is that patch residence times are under-predicted when the model assumes that the animal tries to maximize caloric intake. Models do exist which "patch up" the PRT paradox, but the quandary still exists.

Yohay and I wrote a paper in which we explored a satisficing - rather than maximizing - model for patch residence time. Here's the idea. The animal needs a critical amount of energy to survive until the next foraging session. More food might be nice, but it's not necessary for survival. The animal's foraging strategy must maximize the confidence in achieving the critical caloric intake. So maximization is taking place, but not maximization of the substantive "good" (calories) but rather maximization of the confidence (or reliability, or likelihood, but these are more technical terms) of meeting the survival requirement. We developed a very simple foraging model based on info-gap theory. The model predicts that PRTs for a large number of species - including invertebrates, birds and mammals - tended to be longer (and thus more realistic) than predicted by energy-maximizing models.

This conclusion - that satisficing predicts observed foraging times better than maximizing - is tentative and preliminary (like most scientific conclusions). Nonetheless, it seems to hold a grain of truth, and it suggests an interesting idea. Consider the following syllogism.

1. Evolution selects those traits that enhance the chance of survival.

2. Animals seem to have evolved strategies for foraging which satisfice (rather than maximize) the energy intake.

3. Hence satisficing seems to be competitively advantageous. Satisficing seems to be a better bet than maximizing.

Unlike my psychologist colleague Barry Schwartz, we are not talking about happiness or emotional satisfaction. We're talking about survival of dung flies or blue jays. It seems that aiming to do good enough, but not necessarily the best possible, is the way the world is made.

And this brings me to the suggestion that (even) God is a satisficer. The word "good" appears quite early in the Bible: in the 4th verse of the 1st chapter of Genesis, the very first book: "And God saw the light [that had just been created] that it was good...". At this point, when the world is just emerging out of tohu v'vohu (chaos), we should probably understand the word "good" as a binary category, as distinct from "bad" or "chaos". The meaning of "good" is subsequently refined through examples in the coming verses. God creates dry land and oceans and sees that it is good (1:10). Grass and fruit trees are seen to be good (1:12). The sun and moon are good (1:16-18). Swarming sea creatures, birds, and beasts are good (1:20-21, 25).

And now comes a real innovation. God reviews the entire creation and sees that it is very good (1:31). It turns out that goodness comes in degrees; it's not simply binary: good or bad. "Good" requires judgment; ethics is born. But what particularly interests me here is that God's handiwork isn't excellent. Shouldn't we expect the very best? I'll leave this question to the theologians, but it seems to me that God is a satisficer.




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Baseball and Linguistic Uncertainty

In my youth I played an inordinate amount of baseball, collected baseball cards, and idolized baseball players. I've outgrown all that but when I'm in the States during baseball season I do enjoy watching a few innings on the TV.

So I was watching a baseball game recently and the commentator was talking about the art of pitching. Throwing a baseball, he said, is like shooting a shotgun. You get a spray. As a pitcher, you have to know your spray. You learn to control it, but you know that it is there. The ball won't always go where you want it. And furthermore, where you want the ball depends on the batter's style and strategy, which vary from pitch to pitch for every batter.

That's baseball talk, but it stuck in my mind. Baseball pitchers must manage uncertainty! And it is not enough to reduce it and hope for the best. Suppose you want to throw a strike. It's not a good strategy to aim directly at, say, the lower outside corner of the strike zone, because of the spray of the ball's path and because the batter's stance can shift. Especially if the spray is skewed down and out, you'll want to move up and in a bit.

This is all very similar to the ambiguity of human speech when we pitch words at each other. Words don't have precise meanings; meanings spread out like the pitcher's spray. If we want to communicate precisely we need to be aware of this uncertainty, and manage it, taking account of the listener's propensities.

Take the word "liberal" as it is used in political discussion.

For many decades, "liberals" have tended to support high taxes to provide generous welfare, public medical insurance, and low-cost housing. They advocate liberal (meaning magnanimous or abundant) government involvement for the citizens' benefit.

A "liberal" might also be someone who is open-minded and tolerant, who is not strict in applying rules to other people, or even to him or herself. Such a person might be called "liberal" (meaning advocating individual rights) for opposing extensive government involvement in private decisions. For instance, liberals (in this second sense) might oppose high taxes since they reduce individuals' ability to make independent choices. As another example, John Stuart Mill opposed laws which restricted the rights of women to work (at night, for instance), even though these laws were intended to promote the welfare of women. Women, insisted Mill, are intelligent adults and can judge for themselves what is good for them.

Returning to the first meaning of "liberal" mentioned above, people of that strain may support restrictions of trade to countries which ignore the health and safety of workers. The other type of "liberal" might tend to support unrestricted trade.

Sending out words and pitching baseballs are both like shooting a shotgun: meanings (and baseballs) spray out. You must know what meaning you wish to convey, and what other meanings the word can have. The choice of the word, and the crafting of its context, must manage the uncertainty of where the word will land in the listener's mind.


Let's go back to baseball again.

If there were no uncertainty in the pitcher's pitch and the batter's swing, then baseball would be a dreadfully boring game. If the batter knows exactly where and when the ball will arrive, and can completely control the bat, then every swing will be a homer. Or conversely, if the pitcher always knows exactly how the batter will swing, and if each throw is perfectly controlled, then every batter will strike out. But which is it? Whose certainty dominates? The batter's or the pitcher's? It can't be both. There is some deep philosophical problem here. Clearly there cannot be complete certainty in a world which has some element of free will, or surprise, or discovery. This is not just a tautology, a necessary result of what we mean by "uncertainty" and "surprise". It is an implication of limited human knowledge. Uncertainty - which makes baseball and life interesting - is inevitable in the human world.

How does this carry over to human speech?

It is said of the Wright brothers that they thought so synergistically that one brother could finish an idea or sentence begun by the other. If there is no uncertainty in what I am going to say, then you will be bored with my conversation, or at least, you won't learn anything from me. It is because you don't know what I mean by, for instance, "robustness", that my speech on this topic is enlightening (and maybe interesting). And it is because you disagree with me about what robustness means (and you tell me so), that I can perhaps extend my own understanding.

So, uncertainty is inevitable in a world that is rich enough to have surprise or free will. Furthermore, this uncertainty leads to a process - through speech - of discovery and new understanding. Uncertainty, and the use of language, leads to discovery.

Isn't baseball an interesting game?




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Picking a Theory is Like Building a Boat at Sea


"We are like sailors who on the open sea must reconstruct their ship
 but are never able to start afresh from the bottom." 
Otto Neurath's analogy in the words of Willard V. Quine

Engineers, economists, social planners, security strategists, and others base their plans and decisions on theories. They often argue long and hard over which theory to use. Is it ever right to use a theory that we know is empirically wrong, especially if a true (or truer) theory is available? Why is it so difficult to pick a theory?

Let's consider two introductory examples.

You are an engineer designing a robot. You must calculate the forces needed to achieve specified motions of the robotic arms. You can base these calculations on either of two theories. One theory assumes that an object comes to rest unless a force acts upon it. Let's call this axiom A. The other theory assumes that an object moves at constant speed unless a force acts upon it. Let's call this axiom G. Axiom A agrees with observation: Nothing moves continuously without the exertion of force; an object will come to rest unless you keep pushing it. Axiom G contradicts all observation; no experiment illustrates the perpetual motion postulated by the axiom. If all else is the same, which theory should you choose?

Axiom A is Aristotle's law of inertia, which contributed little to the development of mechanical dynamics. Axiom G is Galileo's law of inertia: one of the most fruitful scientific ideas of all time. Why is an undemonstrable assertion - axiom G - a good starting point for a theory?

Consider another example.

You are an economist designing a market-based policy to induce firms to reduce pollution. You will use an economic theory to choose between policies. One theory assumes that firms face pure competition, meaning that no single firm can influence market prices. Another theory provides agent-based game-theoretic characterization of how firms interact (without colluding) by observing and responding to price behavior of other firms and of consumers.

Pure competition is a stylized idealization (like axiom G). Game theory is much more realistic (like axiom A), but may obscure essential patterns in its massive detail. Which theory should you use?

We will not address the question of how to choose a theory upon which to base a decision. We will focus on the question: why is theory selection so difficult? We will discuss four trade offs.

"Thanks to the negation sign, there are as many truths as falsehoods;
we just can't always be sure which are which." Willard V. Quine

The tension between right and right. The number of possible theories is infinite, and sometimes it's hard to separate the wheat from the chaff, as suggested by the quote from Quine. As an example, I have a book called A Modern Guide to Macroeconomics: An Introduction to Competing Schools of Thought by Snowdon, Vane and Wynarczyk. It's a wonderful overview of about a dozen theories developed by leading economic scholars, many of them Nobel Prize Laureates. The theories are all fundamentally different. They use different axioms and concepts and they compete for adoption by economists. These theories have been studied and tested upside down and backwards. However, economic processes are very complex and variable, and the various theories succeed in different ways or in different situations, so the jury is still out. The choice of a theory is no simple matter because many different theories can all seem right in one way or another.

"The fox knows many things, but the hedgehog knows one big thing." Archilochus

The fox-hedgehog tension. This aphorism by Archilochus metaphorically describes two types of theories (and two types of people). Fox-like theories are comprehensive and include all relevant aspects of the problem. Hedgehog-like theories, in contrast, skip the details and focus on essentials. Axiom A is fox-like because the complications of friction are acknowledged from the start. Axiom G is hedgehog-like because inertial resistance to change is acknowledged but the complications of friction are left for later. It is difficult to choose between these types of theories because it is difficult to balance comprehensiveness against essentialism. On the one hand, all relevant aspects of the problem should be considered. On the other hand, don't get bogged down in endless details. This fox-hedgehog tension can be managed by weighing the context, goals and implications of the decision. We won't expand on this idea since we're not considering how to choose a theory; we're only examining why it's a difficult choice. However, the idea of resolving this tension by goal-directed choice motivates the third tension.

"Beyond this island of meanings which in their own nature are true or false
lies the ocean of meanings to which truth and falsity are irrelevant." John Dewey

The truth-meaning tension. Theories are collections of statements like axioms A and G in our first example. Statements carry meaning, and statements can be either true or false. Truth and meaning are different. For instance, "Archilochus was a Japanese belly dancer" has meaning, but is not true. The quote from Dewey expresses the idea that "meaning" is a broader description of statements than "truth". All true statements mean something, but not all meaningful statements are true. That does not imply, however, that all untrue meaningful statements are false, as we will see.

We know the meanings of words and sentences from experience with language and life. A child learns the meanings of words - chair, mom, love, good, bad - by experience. Meanings are learned by pointing - this is a chair - and also by experiencing what it means to love or to be good or bad.

Truth is a different concept. John Dewey wrote that

"truths are but one class of meanings, namely, those in which a claim to verifiability by their consequences is an intrinsic part of their meaning. Beyond this island of meanings which in their own nature are true or false lies the ocean of meanings to which truth and falsity are irrelevant. We do not inquire whether Greek civilization was true or false, but we are immensely concerned to penetrate its meaning."

A true statement, in Dewey's sense, is one that can be confirmed by experience. Many statements are meaningful, even important and useful, but neither true nor false in this experimental sense. Axiom G is an example.

Our quest is to understand why the selection of a theory is difficult. Part of the challenge derives from the tension between meaning and truth. We select a theory for use in formulating and evaluating a plan or decision. The decision has implications: what would it mean to do this rather than that? Hence it is important that the meaning of the theory fit the context of the decision. Indeed, hedgehogs would say that getting the meaning and implication right is the essence of good decision making.

But what if a relevantly meaningful theory is unprovable or even false? Should we use a theory that is meaningful but not verifiable by experience? Should we use a meaningful theory that is even wrong? This quandary is related to the fox-hedgehog tension because the fox's theory is so full of true statements that its meaning may be obscured, while the hedgehog's bare-bones theory has clear relevance to the decision to be made, but may be either false or too idealized to be tested.

Galileo's axiom of inertia is an idealization that is unsupported by experience because friction can never be avoided. Axiom G assumes conditions that cannot be realized so the axiom can never be tested. Likewise, pure competition is an idealization that is rarely if ever encountered in practice. But these theories capture the essence of many situations. In practical terms, what it means to get the robotic arm from here to there is to apply net forces that overcome Galilean inertia. But actually designing a robot requires considering details of dissipative forces like friction. What it means to be a small business is that the market price of your product is beyond your control. But actually running a business requires following and reacting to prices in the store next door.

It is difficult to choose between a relevantly meaningful but unverifiable theory, and a true theory that is perhaps not quite what we mean.

The knowledge-ignorance tension. Recall that we are discussing theories in the service of decision-making by engineers, social scientists and others. A theory should facilitate the use of our knowledge and understanding. However, in some situations our ignorance is vast and our knowledge will grow. Hence a theory should also account for ignorance and be able to accommodate new knowledge.

Let's take an example from theories of decision. The independence axiom is fundamental in various decision theories, for instance in von Neumann-Morgenstern expected utility theory. It says that one's choices should be independent of irrelevant alternatives. Suppose you are offered the dinner choice between chicken and fish, and you choose chicken. The server returns a few minutes later saying that beef is also available. If you switch your choice from chicken to fish you are violating the independence axiom. You prefer beef less than both chicken and fish, so the beef option shouldn't alter the fish-chicken preference.

But let's suppose that when the server returned and mentioned beef, your physician advised you to reduce your cholesterol intake (so your preference for beef is lowest) which prompted your wife to say that you should eat fish at least twice a week because of vitamins in the oil. So you switch from chicken to fish. Beef is not chosen, but new information that resulted from introducing the irrelevant alternative has altered the chicken-fish preference.

One could argue for the independence axiom by saying that it applies only when all relevant information (like considerations of cholesterol and fish oil) are taken into account. On the other hand, one can argue against the independence axiom by saying that new relevant information quite often surfaces unexpectedly. The difficulty is to judge the extent to which ignorance and the emergence of new knowledge should be central in a decision theory.

Wrapping up. Theories express our knowledge and understanding about the unknown and confusing world. Knowledge begets knowledge. We use knowledge and understanding - that is, theory - in choosing a theory. The process is difficult because it's like building a boat on the open sea as Otto Neurath once said. 




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Mathematical Metaphors


Theories in all areas of science tell us something about the world. They are images, or models, or representations of reality. Theories tell stories about the world and are often associated with stories about their discovery. Like the story (probably apocryphal) that Newton invented the theory of gravity after an apple fell on his head. Or the story (probably true) that Kekule discovered the cyclical structure of benzene after day-dreaming of a snake seizing its tail. Theories are metaphors that explain reality.

A theory is scientific if it is precise, quantitative, and amenable to being tested. A scientific theory is mathematical. Scientific theories are mathematical metaphors.

A metaphor uses a word or phrase to define or extend or focus the meaning of another word or phrase. For example, "The river of time" is a metaphor. We all know that rivers flow inevitably from high to low ground. The metaphor focuses the concept of time on its inevitable uni-directionality. Metaphors make sense because we understand what they mean. We all know that rivers are wet, but we understand that the metaphor does not mean to imply that time drips, because we understand the words and their context. But on the other hand, a metaphor - in the hands of a creative and imaginative person - might mean something unexpected, and we need to think carefully about what the metaphor does, or might, mean. Mathematical metaphors - scientific models - also focus attention in one direction rather than another, which gives them explanatory and predictive power. Mathematical metaphors can also be interpreted in different and surprising ways.

Some mathematical models are very accurate metaphors. For instance, when Galileo dropped a heavy object from the leaning tower of Pisa, the distance it fell increased in proportion to the square of the elapsed time. Mathematical equations sometimes represent reality quite accurately, but we understand the representation only when the meanings of the mathematical terms are given in words. The meaning of the equation tells us what aspect of reality the model focuses on. Many things happened when Galileo released the object - it rotated, air swirled, friction developed - while the equation focuses on one particular aspect: distance versus time. Likewise, the quadratic equation that relates distance to time can also be used to relate energy to the speed of light, or to relate population growth rate to population size. In Galileo's case the metaphor relates to freely falling objects.

Other models are only approximations. For example, a particular theory describes the build up of mechanical stress around a crack, causing damage in the material. While cracks often have rough or ragged shapes, this important and useful theory assumes the crack is smooth and elliptical. This mathematical metaphor is useful because it focuses the analysis on the radius of curvature of the crack that is critical in determining the concentration of stress.

Not all scientific models are approximations. Some models measure something. For example, in statistical mechanics, the temperature of a material is proportional to the average kinetic energy of the molecules in the material. The temperature, in degrees centigrade, is a global measure of random molecular motion. In economics, the gross domestic product is a measure of the degree of economic activity in the country.

Other models are not approximations or measures of anything, but rather graphical portrayals of a relationship. Consider, for example, the competition among three restaurants: Joe's Easy Diner, McDonald's, and Maxim's de Paris. All three restaurants compete with each other: if you're hungry, you've got to choose. Joe's and McDonald's are close competitors because they both specialize in hamburgers but also have other dishes. They both compete with Maxim's, a really swank and expensive boutique restaurant, but the competition is more remote. To model the competition we might draw a line representing "competition", with each restaurant as a dot on the line. Joe's and McDonald's are close together and far from Maxim's. This line is a mathematical metaphor, representing the proximity (and hence strength) of competition between the three restaurants. The distances between the dots are precise, but what the metaphor means, in terms of the real-world competition between Joe, McDonald, and Maxim, is not so clear. Why a line rather than a plane to refine the "axes" of competition (price and location for instance)? Or maybe a hill to reflect difficulty of access (Joe's is at one location in South Africa, Maxim's has restaurants in Paris, Peking, Tokyo and Shanghai, and McDonald's is just about everywhere). A metaphor emphasizes some aspects while ignoring others. Different mathematical metaphors of the same phenomenon can support very different interpretations or insights.

The scientist who constructs a mathematical metaphor - a model or theory - chooses to focus on some aspects of the phenomenon rather than others, and chooses to represent those aspects with one image rather than another. Scientific theories are fascinating and extraordinarily useful, but they are, after all, only metaphors.






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New History of Psychiatry: Melancholy, Madness, Chinese Psychiatry, Psychedelic Therapy, and More

The June 2020 issue of History of Psychiatry is now online. Full details follow below: “Wild melancholy. On the historical plausibility of a black bile theory of blood madness, or hæmatomania,” Jan Verplaetse. Abstract: Nineteenth-century art historian John Addington Symonds coined the term hæmatomania (blood madness) for the extremely bloodthirsty behaviour of a number of … Continue reading New History of Psychiatry: Melancholy, Madness, Chinese Psychiatry, Psychedelic Therapy, and More




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New JHBS: Mind-Body Medicine Before Freud, Psychology and Biography, Jung and Einstein

The Spring 2020 issue of the Journal of the History of the Behavioral Sciences is now online. Full details about contributions to this issue follow below. “Practicing mind-body medicine before Freud: John G. Gehring, the “Wizard of the Androscoggin”” by. Ben Harris and Courtney J. Stevens. Abstract: This article describes the psychotherapy practice of physician … Continue reading New JHBS: Mind-Body Medicine Before Freud, Psychology and Biography, Jung and Einstein




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Review Article – Within a single lifetime: Recent writings on autism

AHP readers will be interested in a review article now available online from History of the Human Sciences “Within a single lifetime: Recent writings on autism.” Written by Gregory Hollin the piece reviews five recent books on autism.




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New Theory & Psychology: Early Critical Theory and Beck’s Cognitive Theory

Two articles in the most recent issue of Theory & Psychology may interest AHP readers. Full details below. “How lost and accomplished revolutions shaped psychology: Early Critical Theory (Frankfurt School), Wilhelm Reich, and Vygotsky,” by Gordana Jovanovi?. Abstract: On the occasion of recent centenaries of revolutions in Europe (1917, 1918–19), this article examines, within a … Continue reading New Theory & Psychology: Early Critical Theory and Beck’s Cognitive Theory




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Forthcoming in JHBS: Quêtelet on Deviance, McClelland on Leadership, Psychological Warfare, and More

A number of articles now in press at the Journal of the History of the Behavioral Sciences will be of interest to AHP readers. Full details below. “Uncovering the metaphysics of psychological warfare: The social science behind the Psychological Strategy Board’s operations planning, 1951–1953,” Gabrielle Kemmis. Abstract: In April 1951 president Harry S. Truman established … Continue reading Forthcoming in JHBS: Quêtelet on Deviance, McClelland on Leadership, Psychological Warfare, and More




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May HoP, including a Special Section: Who Was Little Albert? The Historical Controversy

Photographs of John Watson (left) and Rosalie Rayner (right) via Ben Harris. The May 2020 issue of History of Psychology is now online. The issue includes a special section on “Who Was Little Albert? The Historical Controversy.” Full details follow below. Special Section: Who Was Little Albert? The Historical Controversy“Journals, referees, and gatekeepers in the … Continue reading May HoP, including a Special Section: Who Was Little Albert? The Historical Controversy




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The Music That Boosts Learning By 18% (M)

Three classical pieces that boost memory retention.

Support PsyBlog for just $5 per month. Enables access to articles marked (M) and removes ads.

→ Explore PsyBlog's ebooks, all written by Dr Jeremy Dean:




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Is Addiction Hereditary?

Addiction is a major health problem, both mentally and physically. In fact, it is probably one of the most complicated illnesses to deal with because it is has to be dealt with on both a physical and psychological level. Approximately one in eight adults struggle with drug and alcohol addiction at the same time and […]




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“Mandate-Schmandate,” Rick Perry and the HPV vaccine – by Richard Thaler

Nudge blog note: Last night’s Republican debate prompted Richard Thaler to weigh in on Rick Perry’s handling of an HPV vaccine executive order, but not the policy itself. Also, Thaler recently started tweeting. Follow him. By Richard Thaler In the Republican Presidential debate last night at the Reagan library a question emerged about Rick Perry’s [...]




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Where is behavioral economics headed in the world of marketing?

The Nudge blog sat down (electronically) with John Kenny, Senior Vice President of Strategic Planning in Draftfcb’s Chicago office, to explore whether behavioral economics is just a fad in marketing or a legitimate tool to help the industry perform better. Starting with the Institute of Decision Making, Draftfcb has been one of the leaders in [...]




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Seeking Participants for a Study on How COVID-19 is Affecting Sex and Relationships

The COVID-19 coronavirus pandemic is causing a number of societal changes that are new to nearly all of us, with governments around the world locking down cities and countries in an attempt to slow the spread of the virus. This situation is pushing some people together, but pulling others apart—and we’ve never seen anything quite like it in the modern era. Countless media articles have been written about the ways in which this is affecting people’s sex lives and relationships; however, most of them are purely speculative. This led some of my colleagues at the Kinsey Institute and I to wonder what’s really happening—and we’ve designed a study to help us better understand how emergency situations like this affect people’s sexual and romantic lives, which may help us to better plan and prepare for similar events in the future.



  • Professional Issues in Psychology

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Why The Pandemic is Making Some People Horny--But Turning Others Off

There are a lot of conflicting media reports out right now about how the COVID-19 coronavirus pandemic is affecting people’s sex drives. Some are saying that all of the stress and anxiety is putting a damper on desire, while others are saying that everyone is super horny. So which is it? Truth be told, it’s probably a bit of both.




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What are the Most Effective Pick-Up Lines? Here’s What the Science Says

For decades, researchers have been studying the effectiveness of different kinds of pick-up lines in order to better understand the psychology of attraction. What they’ve found is that certain types of lines definitely seem to work better than others—and the results have been surprisingly consistent over the years.




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How Do You Help a Partner Who is Depressed? Advice From a Sex Therapist

Depression is one of the most common mental health issues in the United States. In fact, according to the National Institutes of Mental Health, 1 in 14 Americans experienced an episode of major depression in the last year alone. Given the circumstances surrounding the current COVID-19 coronavirus pandemic, many in the mental health community predict that the number will be even higher this year because these circumstances are creating a “perfect storm” of depression risks. The widespread prevalence of depression has a lot of implications for our lives, even if we don’t personally have depression ourselves. Many of us will have loved ones, such as a romantic partner, who develops depression at some point. In these situations, it’s common for people to wonder how they can help their partner most effectively. So what should they do?




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Sex and Psychology Podcast: SexTech, Sexting, and Dick Pics in the Time of COVID-19

Lockdowns and “social distancing” guidelines are changing our intimate lives in major ways. For example, think about people living alone in heavily restricted areas right now. What we’re seeing in our research is that many of these folks are turning to sextech to fill the void in their sexual lives, such as by increasing their participation in activities like sexting and cybersex—and many are trying these things for the very first time. In order to explore the various ways that people are leveraging sextech right now, I spoke to two sextech experts: Dr. Erin Watson and Tasha Falconer.




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Fact Check: Does Pubic Hair Grooming Increase the Risk of Getting an STI?

Sexually transmitted infections (STIs) are on the rise, and many people are curious about the reasons why. While the cause is obviously multifactorial, some have suggested that at least part of the rise in STIs may be due to increasing rates of pubic hair grooming in men and women alike. Given that it’s not uncommon for people to experience cuts and skin irritation from genital grooming practices, it at least sounds plausible in theory that pubic hair shaving could potentially increase infection risk. But what does the research actually say?




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Have You Reached Out to or Heard From an Ex During the Pandemic? You're Not Alone

Anecdotally, I’ve heard from a lot of people who have said that they reached out to (or heard from) and ex-partner since the COVID-19 coronavirus pandemic began. But just how many people have done so? And what motivated them to reconnect? Some of my colleagues and I at The Kinsey Institute are currently in the midst of researching how this pandemic is affecting people’s intimate lives (click here if you’d like to participate and learn more about the study), and our preliminary data suggest that reaching out to an ex isn’t a rare occurrence.




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What happens when a Silicon Valley technologist works for the government | Matt Cutts

What if the government ran more like Silicon Valley? Engineer Matt Cutts shares why he decided to leave Google (where he worked for nearly 17 years) for a career in the US government -- and makes the case that if you really want to make an impact, go where your help is needed most.




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The dangers of a noisy ocean -- and how we can quiet it down | Nicola Jones

The ocean is a naturally noisy place full of singing whales, grunting fish, snapping shrimp, cracking ice, wind and rain. But human-made sounds -- from ship engines to oil drilling -- have become an acute threat to marine life, says science journalist Nicola Jones. Watch (and listen) as she discusses the strange things that happen to underwater creatures in the face of ocean noise pollution -- and shares straightforward ways we can dial down the sound to see almost immediate impacts.




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How can we control the coronavirus pandemic? | Adam Kucharski

As the threat of COVID-19 continues, infectious disease expert and TED Fellow Adam Kucharski answers five key questions about the novel coronavirus, providing necessary perspective on its transmission, how governments have responded and what might need to change about our social behavior to end the pandemic. (This video is excerpted from a 70-minute interview between Kucharski and head of TED Chris Anderson. Listen to the full interview at http://go.ted.com/adamkucharski. Recorded March 11, 2020)




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Without farmers, you'd be hungry, naked and sober | Eric Sannerud

Farmers keep us fed and our economies stable, but in the US they're retiring faster than they're being replaced. Take a crash course in agricultural policy with Eric Sannerud to see why this problem can't be solved by simply buying from your local farmer's market -- and learn how you can use your vote to create a better future for farmers.




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How repaying loans with social service transforms communities | Angie Murimirwa

What if you could repay loans through volunteering and mentorship instead of money? Activist Angie Murimirwa shares how a game-changing economic tool known as "social interest" is reinvigorating sub-Saharan communities once trapped in cycles of poverty. Join her as she explains how this approach to lending is creating opportunities for thousands of African women and girls -- and shows why this model can be replicated anywhere with lasting effects.




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How we must respond to the coronavirus pandemic | Bill Gates

Philanthropist and Microsoft cofounder Bill Gates offers insights into the COVID-19 pandemic, discussing why testing and self-isolation are essential, which medical advancements show promise and what it will take for the world to endure this crisis. (This virtual conversation is part of the TED Connects series, hosted by head of TED Chris Anderson and current affairs curator Whitney Pennington Rodgers. Recorded March 24, 2020)




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How we can navigate the coronavirus pandemic with courage and hope | Rabbi Lord Jonathan Sacks

Rabbi Lord Jonathan Sacks offers thoughts on how we can navigate the coronavirus pandemic with courage, hope and empathy. With wisdom and clarity, he speaks on leadership, fear, death, hope and how we could use this moment to build a more just world. Watch for a special, impromptu prayer about halfway through the conversation. (This virtual conversation is part of the TED Connects series, hosted by head of TED Chris Anderson and head of curation Helen Walters. Recorded March 30, 2020)




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How to make pandemics optional, not inevitable | Sonia Shah

What can past pandemics teach us how to tackle the current one? Tracing the history of contagions from cholera to Ebola and beyond, science journalist Sonia Shah explains why we're more vulnerable to outbreaks now than ever before, what we can do to minimize the spread of coronavirus and how to prevent future pandemics. (This virtual conversation is part of the TED Connects series, hosted by science curator David Biello and current affairs curator Whitney Pennington Rodgers. Recorded March 31, 2020)




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An ethical plan for ending the pandemic and restarting the economy | Danielle Allen

As COVID-19 continues to spread, the world is facing two existential threats at once: a public health emergency and an economic crisis. Political theorist Danielle Allen describes how we can ethically and democratically address both problems by scaling up "smart testing," which would track positive cases with peer-to-peer software on people's cell phones -- so we can end the pandemic and get back to work. (This virtual conversation is part of the TED Connects series, hosted by head of TED Chris Anderson and business curator Corey Hajim. Recorded April 6, 2020)




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How health workers are responding to the COVID-19 pandemic | Esther Choo

The coronavirus pandemic is unlike anything we've ever seen in health care, says emergency physician Esther Choo. Sharing insights into how health workers are responding to the outbreak, she explains what makes this public health emergency different from others -- and provides a few simple things you can do to help. Watch to the end to hear about Choo's work deploying mobile ICUs across the United States as hospitals start to reach capacity. (This virtual conversation is part of the TED Connects series, hosted by current affairs curator Whitney Pennington Rodgers and head of curation Helen Walters. Recorded April 7, 2020)




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A global hackathon to take on the coronavirus pandemic | Marko Russiver

Looking to put your skills to use to fight the pandemic? Consider joining The Global Hack, a virtual hackathon designed to rapidly develop solutions to the coronavirus crisis. Designer and technologist Marko Russiver shares the motivation behind a movement looking to help people build post-pandemic resilience. (This virtual conversation is part of the TED Connects series, hosted by head of curation Helen Walters. Recorded April 8, 2020)




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How the coronavirus pandemic is changing the world | Fareed Zakaria

The coronavirus pandemic is more global, dramatic and unusual than any crisis we've seen in a long time, says journalist Fareed Zakaria. Listen as he shares his perspective on how we can recover from the economic fallout, why certain countries were able to avoid major outbreaks and what this might mean for the balance of global power. (This virtual conversation is part of the TED Connects series, hosted by head of TED Chris Anderson and current affairs curator Whitney Pennington Rodgers. Recorded April 9, 2020)




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The galactic recipe for a living planet | Karin Öberg

Did you know that one of the most notorious poisons is also a key ingredient for life as we know it? Join space chemist Karin Öberg and learn how she scans the universe in search of this paradoxical chemical using ALMA, the world's largest radio telescope, to detect hotbeds of molecular activity and the formation of life-sustaining planets.