Skip to content
July 13, 2008 | No comments

Actual footage

UPDATE: Christian Toto, over at Pajama’s Media, has seen the HBO Generation Kill and says “The new HBO miniseries on Iraq is well-executed, but its anti-war bias is clear.” Make sure to also read the comments.

This tip in from Kyle Smith, from today’s New York Post. Since the subject came up yesterday about fictional accounts of military action, we have here, at, hundreds of actual scenes filmed by the soldiers themselves. Smith’s story is called Wartube.

Some examples. One:


I had no idea of this site before today. But I would imagine that whatever Hollywood offers, no matter how “gritty and realistic”, cannot compare to the actual real reality as delivered directly by the soldiers. Of course, the soldiers’ own story suffers only one flaw when compared to fictionalized accounts: no slow motion (joking, just joking).

July 12, 2008 | 1 Comment

Transforming American Military Policy

Finding the Target: The Transformation of American Military Policy by Frederick W. Kagan, 2006. Encounter Books. Recommendation: read

This book is an excellent accounting of the theories that have gripped and influenced American military thinking and planning since the Vietnam war.


If all your information on the military has come from Hollywood (and there is a new series about Iraq out on HBO, surely this time written by writers who actually served and are thus knowledgeable), then it might come as a surprise that when planning a war you actually have to decide what to hit, what resources are needed, when those resources should be in place, what will happen in theater and out of it, the political consequences, and on and on. These decisions are made with reference to a guiding doctrine, a.k.a. a theory.

Since Clausewitz, a leading theory has been to attack an enemy’s “centers of gravity”. Destroy those, the theory goes, and the enemy collapses in confusion. Maybe so. But what is a center of gravity? Does this mean you try to kill as many troops in the field as possible? Or instead commit your resources to disrupting enemy supply lines, or perhaps the lines of communication and control? Or do you, as happened at the very beginning of Iraqi Freedom, attempt to take out the leadership (an effort, you will recall, which failed)? All good questions, the answers to which should depend on the situation. The danger is that people can pay more attention to the guiding theory—to what the theory says reality should be like—than to actual reality itself. This common human failing is found in war just as it is in other areas.

There is also the danger of rushing in, say after an unexpected attack of your country, and not having any plan:

[T]hey find it difficult—albeit no less important—to identify clear, achievable strategic aims. There is an emotional temptation to want to ‘do something’ without first clearly understanding what political purpose that ‘something’ is supposed to accomplish.

Kagan repeatedly emphasizes that military actions are subservient to, or an extension of, a country’s political aims. Just killing the enemy is not enough. The way that enemy is killed or defeated must be done in such a way to further the political aims. The lack of these thoughts harmed the Iraqi war. As is well known by now, the hostilities themselves were over very quickly. The war plan was to “topple the regime” as fast as possible. This was “mission accomplished.” But in toppling the regime, nothing took its place, and chaos prevailed. The problem was the enemy was not captured, they was instead allowed to disperse, taking their weapons with them, the result of which was the insurgence.

The situation in Iraq was not turned around until more boots were on the ground, handling things in the old fashioned way, opposite to dictates of the “revolution in military affairs” and “transformative” theories then touted by the leadership.

Kagan also takes to task the latest theories that holds some in thrall: Network Centric Warfare, or NCW. This is the idea that the miracles of the “Information age” will “revolutionize” and “transform” forever our view of the “battlespace” (the old term “battlefield” deemed musty). Generals, using these things called computers, will soon be able to see what every platoon-leading lieutenant sees, and so will be able to direct the battlespace more effectively. Information overload? Don’t bother me with details. Kagan sums up his objections to NCW:

First, it is a solution in search of a problem. Second, the technical requirements needed to produce the capabilities sought and promised are unattainable in the real world. Third, it proceeds from a misunderstanding of the nature of war…The NCW visionaries imagine a world in which the eternal race between offense and defense ands in our favor—we will be able to see everything and the enemy will be about to nothing about it. This notion is preposterous.

Instead, Kagan advocates the obvious strategy: plan for the situations you are most likely to face. You might still be wrong, but you, by definition, have the best chance of being right. Do not ask for “revolutionary” technologies, but build better weapons from known technologies.

Other topics are discussed. For example: “The Army still maintain garrisons as though it were preparing to subdue the Sioux and Apache once again.” These historical dispositions “impose significant delays” on deployment and offer the enemy “numerous bottlenecks to strike.” But to try and change base and post locations is a mighty political task. Try suggesting to your congressperson—Democrat or Republican—that the base in their state is aptly located and see what happens. Politicians, as ever, will usually opt for what is best for themselves and not the country.

The book is an intelligent, readable overview of military policy planning and I highly recommend it.

July 8, 2008 | 4 Comments

Another increase in moronicity

This story has been making the rounds (I first heard of it from Roger Kimball’s blog). It’s so incredibly asinine that it deserves broad exposure.

The headline from England’s Telegraph is Toddlers who dislike spicy food ‘racist’. The article leads:

Toddlers who turn their noses up at spicy food from overseas could be branded racists by a Government-sponsored agency.

The National Children’s Bureau, which receives ?12 million a year, mainly from Government funded organisations, has issued guidance to play leaders and nursery teachers advising them to be alert for racist incidents among youngsters in their care.

This could include a child of as young as three who says “yuk” in response to being served unfamiliar foreign food.

The guide is 366 pages long! Yuk!

Nurseries are encouraged to report as many incidents as possible to their local council. The guide added: “Some people think that if a large number of racist incidents are reported, this will reflect badly on the institution. In fact, the opposite is the case.”

That is to say, nursery workers are encouraged to rat out small children to the local Party Leaders. No doubt horrific injustices like denying a love of curry will be noted on the tots’ permanent records. Can re-education day camps be far behind?

This reminds of a guy (whose name I expurgated from my memory) invited to campus when I was still at professor at Central Michigan. The topic was—what else?—diversity. This guy, who had many letters after his name, was touting a theory called micro-racism. These are racists acts that are so small that the person perpetrating them, and the person being disparaged, cannot see them. Only people specially trained could spot and analyze the atrocities.

Professors were told that when overhearing something shocking like—if you have a weak stomach, please do not read further—“Where are you from?”, we should recognize the ill intent behind the words and caution the student to modify his behavior.

That’s the only example of “micro-racism” that I can recall. Not too many examples were given. This of course makes it easy for the PC Police to label anything they want as “micro-racism.” Only an exceptionally dull person could not take any phrase whatsoever and twist it into an example of intolerance.

I don’t have the National Children’s Bureau’s guide, but I can only hope they include material on micro-racism.

July 7, 2008 | 6 Comments

What happened to sultry?

I like Jessica Rabbit. Her voice, I mean—Kathleen Turner. Throaty, a hint of edgy raspiness, alluring, damn sexy.

But I just found out that I was wrong. Turns out I do not like sultry voices like I think I do. Instead, peer-reviewed research has proved that “High-pitched voices are most attractive.” This can only mean that I require re-education to correct my incorrect choice. Experts have weighed in!

Actually, of course, and because I can’t continue being facetious, I want to highlight a very common piece of poor “science” journalism, based on questionable research. I want to dissect this article paragraph by paragraph (don’t worry, it’s not long), to show how to spot garbage.

The article, entitled “High-pitched voices are most attractive“, by Dave Munger over at Cognitive Daily, summarizes a paper by Feinberg and others entitled “The role of femininity and averageness of voice pitch in aesthetic judgments of women’s voices” in the journal Perception.

First, the title (the reporter’s, not the paper’s). It is false. Not just “maybe not true” but false as in “ridiculously untrue.” It is not true in my case, nor in many, many other cases. So why would somebody write such a headline? Laziness, probably.

The article starts with some unmemorable fluff about some celebrity, finally moving to the sentence “In general we perceive higher voices as more feminine.” This is true. But it is one of those statements that every single human already knew was true—who didn’t know females had higher voices?—only it could be “proved” true until “research” said it was. This unfortunate attitude is now commonplace. It isn’t true until some “researcher” does “research” to show it’s true. Nonsense.

Let’s not lose sight of what they author is trying to prove: “High-pitched voices are most attractive.” What is the evidence for this (false) statement? Well, this: researchers “recorded the voices of 123 young women as they pronounced five vowel sounds: ah, ee, eh, oh, and oo. Then ten male volunteers rated each voice for attractiveness.”

How many men? 10, or “ten”, or “just one more than nine.” No doubt these men were chosen from a broad population to ensure to capture a wide range of opinion. Just kidding. They weren’t. Like many papers, the “researchers” grabbed a bunch of men who were close at hand and hoped for the best. That is, these young American men were assumed to have the same tastes as Vietnamese, Yemenese, Chinese, Siamese, and other-eses, of all age, economic, social, etc. backgrounds. The same comments can be made about the women. Did they all speak English? Have the same accent? Did they vary their tone to fit the circumstance? Etc. etc.

The chance that the sample used was representative of all humans? The words “near zero” come to mind. And we haven’t even begun to ask why just five English vowel sounds would be representative of all sounds, nor how the manner of speech and the words used are mixed up in how attractiveness is rated.

A statistical graph is then shown, which I do not have the heart to reproduce. It is a scatterplot, showing the relationship of the frequency of the spoken vowel sounds with the attractiveness rating. A straight (and curved) line is drawn through the points. It is said to be “statistically significant.” This means that the p-value of the slope of the regression line is less than 0.05. What is a p-value? It says that the chance of seeing a statistic (which is a function of the estimate of that slope) larger than the one we actually got given the experiment were an infinite number of additional times and given the slope is actually 0. Yes, complicated and confusing. That’s classical statistics for you.

But, statistically speaking, the line is crap. Pick a frequency, a low one, like 180-190 Hertz. Attractiveness ratings range from just over 2 to about 5.5, just the same as they do for higher frequencies. For one high frequency lady (about 250 Hertz), the attractiveness was low; and there were far fewer high pitched sounds to sample from. The researchers have made the common error of conflating the “statistical significance” of the parameter (slope) of the regression line with the actually difference in observable attractiveness ratings. We do not see which women was which — some women’s voice might have been better than others regardless of pitch. To prove that the reporter does not understand what he has just seen, he repeats “Higher-pitched voices are more attractive” right after discussing the graph.

There are other problems with this graph. There are about 123 numbers. Fine. There were 123 ladies. But each recorded 5 sounds, and there were 10 men. Shouldn’t there be 123 x 5 x 10 = 6150 points? Because there are not, it means some prior data manipulation has taken place. A summarization has been done (the mean of attractiveness per women). I have no idea how this summarization would effect the results. Nor would the researchers, because it would require some sort of model, which is not present.

The researchers knew at least some of their limitations because, as the reporter reports, they asked “[W]ill simply raising the pitch of a female voice make it more attractive, or are there other factors involved?” So they picked “three groups of five voices…:five low-pitched, five medium-pitched, and five high-pitched.” After this— I swear this is true—“a computer program was used to artificially raise and lower the pitch of each of these voices.” Then “volunteers listened to high- and low-pitch versions of each voice and indicated which was more attractive.”

Again, they claim that higher pitched voices were picked slightly more often as being attractive (another bad statistical graph is shown).

But wait a minute. A “a computer program was used to artificially raise and lower the pitch of each of these voices”? Yes, “”a computer program was used to artificially raise and lower the pitch of each of these voices.”

Good thing that was the end of the article, because I couldn’t take any more. From 123 women, just 15 (that’s “three groups of five voices”) were supposed to represent all human females everywhere. These 15 voices were changed by a computer algorithm to sound how a computer programmer thought they should sound. After they made the voices sound like they wanted them to sound, they asked other people how they sounded. Oh, good grief.

If the overall finding is that “men prefer high-pitched voices”, then I would say that it is true, but everybody already knew it was true because everybody knows women have higher-pitched voices than men, and that men prefer women (generally), therefore they must prefer higher-pitched voices (generally).

But just writing that into a paper will not get you published.