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Revenge of the Nerds!

Much to my amusement, this post on the utlity of quantitative analysis caused quite a stir in the international relations blogosphere. I don't know if folks in security studies just don't have a sense of humor or if it's true what Kissinger said about how university politics are vicious precisely because the stakes are so small. But what I think happened is that Stephen Walt read my post, chuckled, and his chuckling did two things: 1) it brought a lot of people to this site who were not aware that the posts on this blog are meant to be light and irreverent, and 2) it opened up an old fault line in security studies between traditionalists like Walt who aren't so impressed by quantitative analysis and the Young Turks and political economists who have pushed to make it ascendent in political science departments across the United States. I have about as much interest getting involved in these scholarly disputes as I do catching the Ebola virus. But I did find some of the reaction pretty amusing. Like the fact that Hein Goemans, a brilliant scholar at the University of Rochester, was writing comments on my blog at 5:17 on a Friday afternoon. (Hein, buddy, it's happy hour. Put down the TI-89, get off the internets and go drink a beer.) Or the fact that Cranky Dan Drezner was left in a cursing, sputtering rage over at his Foreign Policy blog. (I was particularly hurt that Drezner didn't see the humor in my post, as I have always found his willingness to hold forth on the peoples and politics of the Arabic-speaking world and Iran without any time spent in the region or training in its languages to be hilarious.)

In the end, though, I commissioned one of this blog's regular readers, "Scott Wedman", to write a response to what I had written. What follows is good stuff. I am sorry that folks got their proverbial panties in a twist about a post that was meant to be funny, so hopefully this will make up for things. (Though curses to you all for making me publish something serious minded.)

Plenty of people have already weighed in on AM’s “Quantitative Manifesto”, including Drezner, Walt, Farrell, and others (including but not limited to Drew Conway, Justin Logan, and Kindred Winecoff).

 

Since others have covered many of the specifics in depth, I’ll limit myself to four broad points that I think those even vaguely interested in these issues should consider (and feel free to disagree with). Just so you know where I’m coming from, I’m an assistant professor of political science at a research university who primarily publishes on international conflict and security issues. I use both qualitative and quantitative research methods. I have also done some work that is better defined as policy relevant or even policy analysis.

 

First, good research is good research, regardless of method. Just criticizing one method or another out of hand is short-sighted because the more important thing is encouraging good research methods overall. While that sounds trite, it’s true. Good work asks an interesting question, utilizes new evidence or methods to answer the question, and is appropriately modest in its conclusions. Good work can be qualitative, quantitative, or game theoretic. Frankly, lots of research isn’t good work, but there’s quite a bit of good stuff out there. And much good work follows a lot of AM’s manifesto, though not all of it. What’s important is that people from across the methodological spectrum be open to sources of evidence and argumentation that fall outside what they may utilize in their research, but that may shed light on a topic of interest. Of course, that’s easier to say in theory than in practice.

 

Second, there is a difference between empirical social science research and policy analysis. Social science research, which lays out theories/hypotheses and then (mostly) uses evidence to test those theories/hypotheses, is potentially a useful input for those interested in specific policy recommendations. Good social science research suggests what is most likely to happen in a certain situation, based on what has happened before in similar situations. But that’s not a substitute for specific, in-depth information on the question of the day, whether it’s the consequences of implementing new sanctions on Iran, whether or not Obama’s surge in Afghanistan is likely to succeed, or something else. Social science research is one tool in the policy maker’s toolkit. And perhaps, as Drezner and others have argued, it should be used more often. But it’s not, and it shouldn’t be, the only tool.

 

Third, there are important benefits to using quantitative methods in international relations/security studies. The simplest is just that there are often competing theories or arguments drawn from qualitative studies on topics like the effectiveness of economic sanctions or the link between different types of political regimes and success on the battlefield. Quantitative analysis helps scholars systematically evaluate those competing claims by seeing how they fare when tested on dozens or hundreds or thousands of cases instead of just a handful or fewer (quantitative scholars will argue among themselves as well, but you get the drift). Of course that doesn’t mean a political science professor knows more about how to take a hill or how to secure a village than someone in, you know, the military, but it does mean those scholars are (hopefully) producing valuable knowledge that is based on more than their (or any one person’s) personal experience.

 

Fourth, international relations and security studies were traditionally very hostile to quantitative methods and formal models (the old security studies = realist = qualitative idea used to rule the day), but most of the best scholars these days use multiple methods, usually meaning qualitative analysis and either quantitative analysis or formal models. Sometimes they use all three. However, the move to multiple methods is generally not a crass ploy to get published or get tenure (and I don’t think AM meant to imply that it was). It’s a genuine recognition on the part of many scholars, and especially younger scholars, that the more tools you have in the box, or clubs in the bag, or whatever the analogy, the more evidence you can bring to bear to answer a question. And there’s no reason to exclude a type of evidence when it can help give you a new perspective on a question. There are also some questions better answered through qualitative analysis, some through quantitative analysis, and some through formal models. So the more methods you know and can use, the more interesting and varied questions you can answer. That’s just smart.

social science

64 comments

"First, good research is

"First, good research is good research, regardless of method."

Not to be a pedantic jerk, but how can that be so? If the method is a poor one, how can the research that follows be meaningful?

But I don't study these topics, so I don't know.

I hate to be that guy, but

I hate to be that guy, but you consider this blog to be a joke now? The header says:

"Abu Muqawama is a blog dedicated to following issues related to contemporary insurgencies as well as counterinsurgency tactics and strategy. Abu Muqawama aims to be a resource for students, counterinsurgents, academics, and the general public."

I will never begrudge you having fun... hell, I enjoy being flippant and sarcastic (and your commenters mock my pretty ruthlessly for it!). But if you want to write most of your posts unseriously, at least throw us a bone and actually write that way, or give us some kind of marker that says so. That post about quants didn't come off as being flippant or sarcastic -- you even called it a manifesto and proceeded to make pretty serious accusations about an entire field of study.

And I'm saying this as the leader of a band of hired assassins (the others were, erm, quants) that has pretty thoroughly criticized sloppy quant research. I'm a bit chagrined to find out you didn't really mean what you wrote there, since it came across as an actual stance you hold.

You've written flippant posts before that were pretty obviously meant to be lighthearted. This didn't have that. It's a bit cheeky to sell a blog as a serious place to discuss serious issues, then without warning or indication announce your dedication to unseriousness right when there's a bit of a uproar over something you wrote. Just own it and move on, and people will care a lot less.

All I meant is that there is

All I meant is that there is lots of good research out there, regardless of method, and it usually shares more in common with other good research using different methods than bad research using the same method.

Madhu: Here is what I meant

Madhu:

Here is what I meant to say about Laitin: which is, essentially, he asks the same question you do.

Laitin (whose most recent work on a theory of political identities uses a rational choice “tipping model” and large-N statistical analysis to determine whether Russian-speaking persons in former Soviet states will learn their nations’ dominant languages) rebukes perestroikans for having “abandoned the project of a scientific discipline.” He writes, “It would be convenient to write off this quasi-coordinated attack on the scientific turn in the study of society, calling its proponents Luddites. Indeed, their abhorrence of all things mathematical—and their typical but useless conflation of statistical and formal reasoning—reveals a fear of the modern.”

ADTS

Ex, I say we butt fuck these

Ex,

I say we butt fuck these nerds and show them some qualitative dominance boinking, prison style.

There's no more DADT, we don't have to whisper no more, we just take it and hump it like pit bulls.

Let's show them how Rangers lead the way. Soon enough, these goddamn nerds will be saying,

I can't quit you.

LOL! Put down your Latte Mocha you non-serving theoritical pussies, your ass is mine.

How are you going to quantify all my sperms up your asshole, nerd?

Josh, you are right -- but

Josh, you are right -- but only to a point. The stated mission of the blog is pretty darn earnest ... but it's directly to the right of a mujahid Legoman. And I think that gets the balance we try to strike -- tackling serious issues with the levity of a court jester.

Abu M: You *do* realise that

Abu M: You *do* realise that your post coincided with the author of "The Quants", Jon Patterson, appearing on Jon Stewart? (http://www.huffingtonpost.com/2010/03/05/jon-stewart-interviews-th_n_487...) Might have caused some cumulative effect, since you use the same termset in a loose, sound-bity kind of way. And the basic critiscism is more or less the same, the lads who think the map defines the terrain.

Foust: I think there is a big difference between a site being a joke and having a sense of humour. Its a blog.

hep.

Fair enough to you both -

Fair enough to you both - like said, my complaint isn't with being humorous (I enjoy it, here especially!) but rather signalling when you are being humorous. The quant manifesto post didn't come across as flippant or lighthearted - it read like a fairly earnest attack on the discipline. Seeing that it's intended to be funny makes me read it in a wholly different light.

On Quants. Reason:

On Quants.

Reason: Robert.Strange.McNamara.

Mind you going thru downturn II - the Bufoo continues isn't selling me either...especially as we are watching Downturn III - Carry Trade - unfold before us...I will grant you their pretty charts and models are being used by crooks. But at what point do you realize you're are acting as the straight man for their not funny punch lines? The Priest can only baptize so many of Micheal Corelone's nephews to give Mike an alibi before he should become suspicious.

=============

@JF - mock time..."mock my pretty ruthlessly"

GAME ON

*Wow. Is that what you call him? You then proceed to use "throw us a bone" and "cheeky" in the same breath?

I got dibs on Foust and

I got dibs on Foust and Drezner! Their asses are mine!

They are my bitches and I'll make love to them like Arabs do to their camels.

I will especially make love to Foust's behind similar to how a Pashtun makes love to his neighbor's goat.

And no I don't use any personal lubricant, I am all natural. If you think 'Hurt Locker' was good, you two are in for some hurtin'. Quantify that!

no DADT, means I can talk about humpin' these nerds to my CO and 1stSgt, and do so proudly, because Man Love is back in fashion!

It's raining men, hallelujah!!!

A second reading of the post

A second reading of the post lent the following:

"or if it's true what Kissinger said about how university politics are vicious precisely because the stakes are so small"

I don't know if the stakes in this are so small. Who gets the best parking space, absolutely. How to understand the causes of war initiation, duration, conduct and termination - perhaps not so small.

ADTS

ADTS: Actually, the stakes

ADTS: Actually, the stakes are pretty freaking big. Think human lives. Think macro-economic models. Quants without checks kill. And thats a proven fact, that any theory that separates itself from the actual engineers/soldiers/"warriors" through academic/buerocratic fogscreens *will* atrophy in skill. Always. Everytime. Organisational enthropy theory.

Andrew, FY Amusement,

Andrew,

FY Amusement, Regarding K's analysis, "The Babes of Hizb'allah":

http://joshualandis.com/blog/?p=110

One of the outstanding blosogphere contributions, something one would never see from quants or in journals.

Oh, and to the point of the

Oh, and to the point of the thread:

regarding, "the lads who think the map defines the terrain", as someone noted above.

The issue isn't quantitative versus non-quantitative. It's really a question of ethics. It's about those who represent the map as defining the terrain, without caveats or knowing it is false.

On Wall Street, which is from where the analogy was originally drawn to securities studies, "numbers" were introduced to help people make decisions that couldn't be resolved qualitatively, i.e. is this business a better risk than that business, etc.?

One can argue "Black Swan" and that the problem was _inherently_ the models, but knowledgeable people know that the problem was rather with those who used the numbers for their own politics, gain or unethically to hide risk, rather than reveal it.

The similarly large parallel failure with 'securities _studies_' I can't think of off the top of my head. One could argue that the key analytical failure of Rumsfeld, et. al., would indeed have been 'corrected' by a rigorous analytical approach to problem solving, rather than 'hope for the best and don't plan for the rest'. It certainly would not have sugar coated the cost-benefit of the Saddam takedown, and would have given significant weight to a 'worst case' scenario, i.e. a protracted nation-building effort at the cost of nearly $1 trillion.

Quantitative or Qualitative

Quantitative or Qualitative its tomatoes or potatoes really. Find a method that you best suit and apply that with rigor and honesty.

The main problem with all forms of research is sloppy research, research that does not address the actual situation. Now that's not to say that one cannot research from an armchair with your laptop. Christ knows that of the 25 odd essays I have penned in the last few years, none had actual field research. (benefits of being an undergrad), however as someone who relies on the works of others to validate my often tenuous arguments,I need to have faith that their research has been done with precision and honesty. Otherwise its back to Wikipedia!

If its numbers or words I don't care, as long as there is a good graph.

Can we see Am and Fick as Lego men?

Fnord -"any theory that

Fnord -"any theory that separates itself from the actual engineers/soldiers/"warriors" through academic/buerocratic fogscreens *will* atrophy in skill. Always. Everytime. Organisational enthropy theory."

Yeah right on. True in tech and telecom as well...

Need doers to do. Up until the second half of the 20th century we had people who did war and FP well. In the second half, well...absent an already strong standing army and deep well of reserve knowledge..oh..and nukes God knows what would have become of us...as far as domestic social management it started a few years earlier with the Federal Reserve and the rest of the Progressive Agenda. Think: Prohibition. Think: Depression.

@Abu Arabic: the USAF is the G-Bomb. Anal Troll would be in heaven.

aside from the useful

aside from the useful proctological comments above, these quant folks live in a very strange world.

Back in Vietnam days the basic grunt was severely numerically challenged, but it didn't appear to make a whole lot of difference. I also rather doubt that the NVA had statistics courses for the winning side grunts either.

Artillery surveyors, FDC and FOs were about the only ones able to do even simple trig. The Few, The Proud

Now, through the assistance of GPS, even the most numerically deficient grunt has a chance of not blowing himself up when calling a fire mission.
===========

Exum says:
I recognize that very few squad leaders in the 10th Mountain Division have ever taken a course in statistics yet probably know more about the conduct and realities of war than I do

By Drew Conway, on February 27th, 2010
Though I will expose my own ignorance to the training of military leaders, I fail to understand why squad leaders would not be given a basic class in statistics, or furthermore why this lack of training is seen as efficient. Withholding all of one’s pretense for the value of quantitative research in conflict, would these squad leaders not benefit from a basic understanding of probability theory, the law of large numbers, or the fundamentals of regression analysis? Perhaps Exum is pointing this out in an attempt to motivate policy makers to provide this type of training, but from the text it seems he presents this ignorance as a badge of honor when surly it should be viewed as a critical deficiency.

12:47 PM: "we just take it

12:47 PM: "we just take it and hump it like pit bulls."

this is why we can't have nice things.

"Second, there is a

"Second, there is a difference between empirical social science research and policy analysis. Social science research, which lays out theories/hypotheses and then (mostly) uses evidence to test those theories/hypotheses, is potentially a useful input for those interested in specific policy recommendations. Good social science research suggests what is most likely to happen in a certain situation, based on what has happened before in similar situations. But that’s not a substitute for specific, in-depth information on the question of the day, whether it’s the consequences of implementing new sanctions on Iran, whether or not Obama’s surge in Afghanistan is likely to succeed, or something else. Social science research is one tool in the policy maker’s toolkit. And perhaps, as Drezner and others have argued, it should be used more often. But it’s not, and it shouldn’t be, the only tool."

Scott Wedman:

This seems like a strawman or irrelevant argument. You're not debating whether good theory informs good policy - you seem to concede that it does - and you're not debating whether good theory should inform good policy - you seem to concede that it does - but rather that writing policy prescriptive work requires knowing facts. Whoever said it does not? Of course arguing about sanctions in Iran today requires information about the state of affairs in Iran today. Of course using social network theory to understand North Korean trafficking networks, and make recommendations about how to stop them, requires facts about North Korean trafficking networks. Of course evaluating whether Iran could close the Strait of Hormuz requires facts about the military capabilities of Iran. The argument you're making - facts are irrelevant to current policy debates - is one I haven't seen before. Now, I've seen arguments, or hints, that one ought to focus more on theory rather than policy (good theory underlies good policy, because it provides the causal foundation upon which to make recommendations), and vice versa (van Evera, S., for example, at least just a tad). But once more, you seem to be getting away from the core issue of the qualitative-quantitative divide: does one exist, and should one exist.

ADTS

Naturally I screwed up in

Naturally I screwed up in the heat - passion? - of my diatribe.

"The argument you're making - facts are irrelevant to current policy debates - is one I haven't seen before.

ADTS

Not to monopolize the

Not to monopolize the comments, but comparing my two last comments, I guess I didn't screw up in the heat of passion.

ADTS

AM, What would you being

AM,

What would you being using lambda, gamma, tau, and chi (squared) to solve for?

I'm still uncertain how I pulled off a A- in Research Methods, but it would be interesting to get back into nerd-mode and perhaps use SPSS to "geek it up" on the weekends. Damn, I'll have to knock the dust off the calculator and uninstall Super Mario Bros from my TI-89. Maybe we could have robster craws and pray dungeons and dragons on the weekends too? Where's Booger when you need him?

Look, I found Hein Goemans a drinking buddy! http://reference-man.blogspot.com/2005/03/ti-89.html

It was a pretty stupid post

It was a pretty stupid post though.

Quants without checks kill.

What this means, I have no idea.

What I really want to know

What I really want to know is, did you show your manifesto to Stephen BIddle? Did he say sorry and promise never to do it again?

. . . . Think I would like

.
.
.
.
Think I would like to suggest that the nerds and the front line troops swap places for a week in Afghanistan for a few months.

Then have this discussion over again.

Then maybe the nerds will talk about which MRE flavors they like rather then restaurants. Remember the buddy that was Kennedy's color guard? His brother got a grenade thrown in his lap in one of those most talked about beer halls.

ADTS - I apologize for the

ADTS - I apologize for the confusion. I didn't mean to imply facts are irrelevant from policy making. If you read it "straight", Ex's original post implied that quantitative work is flawed because it doesn't tell us what to do in a specific situation of warfare (which someone in the military might know better). But his underlying argument was more an indictment of social science versus policy making than it was quantitative work versus policy making (this was one of the things I didn't get into in my post since other commentators on other web sites already covered it). My point was only that he's right in that specific way, but that doesn't mean quantitative work on warfare lacks value. At it's best, it can suggest what will happen in the large majority of cases within some confidence interval. Then you add the actual details of what's going on on the ground to get the complete picture. Both are good to have for the policy maker.

Or put another way, my argument there is that political scientists, whether qualitative or quantitative, most often are looking at history (whether you mean history as "data" or history as specific cases) to find trends, patterns, or what have you. Policy analysts are trying to figure out what to do about problem X in country Y. These things are related, and should inform each other, but they are not exactly the same thing.

Would you disagree?

ADTS - with regards to what

ADTS - with regards to what you said about Hein Goemans, I'd add that, in his own research, his qualitative work has been quite good in the past. For his War & Punishment book, he did primary source work in several languages on World War I.

Thank you for the

Thank you for the clarifications all - I was confused and thought perhaps there was a hierarchy of of quantitative methods, perhaps, in the way for instance a double-blinded study is a gold-standard for drug therapies.

Misunderstandings from learning cross-discipline, I suppose.

Madhu - great point. Yeah

Madhu - great point. Yeah these things are very different from discipline to discipline.

Madhu - sorry if this ends

Madhu - sorry if this ends up being a double-post, but yeah there's no real hierarchy in that way within political science that everyone accepts (though different people will privilege different methods. . .usually the ones they use!)

Scott Wedman: ADTS - I

Scott Wedman:

ADTS - I apologize for the confusion. I didn't mean to imply facts are irrelevant from policy making. If you read it "straight", Ex's original post implied that quantitative work is flawed because it doesn't tell us what to do in a specific situation of warfare (which someone in the military might know better). But his underlying argument was more an indictment of social science versus policy making than it was quantitative work versus policy making (this was one of the things I didn't get into in my post since other commentators on other web sites already covered it). My point was only that he's right in that specific way, but that doesn't mean quantitative work on warfare lacks value. At it's best, it can suggest what will happen in the large majority of cases within some confidence interval. Then you add the actual details of what's going on on the ground to get the complete picture. Both are good to have for the policy maker.

Or put another way, my argument there is that political scientists, whether qualitative or quantitative, most often are looking at history (whether you mean history as "data" or history as specific cases) to find trends, patterns, or what have you. Policy analysts are trying to figure out what to do about problem X in country Y. These things are related, and should inform each other, but they are not exactly the same thing.

###

Scott Wedman:

We agree a lot more than we disagree.

I think they are indeed related and should inform each other, and they are not exactly the same thing. So I'm in agreement. The only things I'd add or note are the following. First, just because quantitative work uses confidence intervals or p values (or the more important measures of substantive statistical significance whose value no one seems to understand) does not mean it cannot be used for policy work vis-a-vis qualitative work. Needless to say, small-n qualitative work has its own confidence interval problems to work through, and those are possibly if not probably greater than quantitative work. Would you like to make a policy recommendation from a universe of 250 cases or five cases? It probably depends on how the cases are treated (i.e., the quality of the methodology?). Second is the value of translation. As Daniel Drezner noted, I think, a lot of people we cite were quantitative scholars who wrote in plain English, e.g., Thomas Schelling or Robert Axelrod (or this year's Nobel Prize winners, Elinor Ostrom and Oliver Williamson). Robert Pape to me is not a quantitative scholar, so maybe he's a bad example, but his ability to assemble a database and turn numbers into data into information into knowledge into words is a good one to have. For perhaps a better example, I think I saw Jack Goldstone do a policy writeup on the causes of political instability for the USIP, undoubtedly drawing on quantitative work done by the Political Instability Task Force. Third, and most importantly, is the cost tradeoff involved between theory and policy. Good theory underlies good policy, and I don't think you'll ever persuade me otherwise, nor do I think you'd try. You need understandings of causal linkages to make policy prescriptions. How do you do that? You go back with a research question, examine the past using the relevant data and the appropriate method(S) (not a typo, at least not necessarily), and then you state why you think A does (or does not) cause B. The present resembles the past, so the less time you spend doing that, the less well-founded your prescriptions for today will be because you spent less time studying the lessons of the past. So I do think there's a trade-off. If you and/or AM said so already, I apologize.

I think the empirical chapters (read: qualitative) of "War and Punishment" were the only ones I read :) - I suspect you can guess which side of the divide I stand on? - and thought they were absolutely phenomenal. I was more annoyed that AM insinuated Goemans didn't now how to drink - a clearly falsifiable proposition.

ADTS

Exactly--politics as usual.

Exactly--politics as usual.

Scott Wedman and Madhu (and

Scott Wedman and Madhu (and AM):

Madhu:

Here's a concrete example. A scholar said, "You can't prove anything with a case study" (qualitative piece of work). Obviously, he does quantitative work. The obvious rejoinder is, "But can you prove anything with a regression or some similar exercise?" (and remember that game theorists don't even have to prove anything). His rejoinder would be, "Probably not, but you can be more sure whether or not you're wrong or right - whether your argument has been falsified - in quantitative work - and by how much you're wrong or right." I'm not sure what the qualitative rejoinder would be, at least off the top of my head, but there is one - probably, "But you don't understand why you get the results you do; you don't understand the *process* by which your results manifest themselves" - and undoubtedly such a confrontation could probably go on ad infinitum.

Scott Wedman and Madhu (and AM):

This may amuse - it gives a sense of the bickering and status struggles within the field:

http://www.gotterdammerung.org/humor/medieval-ir.html

NOTE: In this, the qualitative scholars are the nobles, the quantitative scholars the peasants.

ADTS

ADTS - I actually think we

ADTS - I actually think we may completely agree on nearly all if not all points.

If you're really interested

If you're really interested in this topic - it's - as you discovered - one of the most explosive and upsetting to the academic economist - political scientist groups. The problems is, they adopted the mathematics of physics without understanding the physics, then thought that the mathematics could somehow stand alone. Here's the background:

    he physical theory that the creators of neoclassical economics used as a template was conceived in response to the inability of Newtonian physics to account for the phenomena of heat, light and electricity. In 1847 German physicist Hermann von Helmholtz formulated the conservation of energy principle and postulated the existence of a field of conserved energy that fills all space and unifies these phenomena. Later in the century James Maxwell, Ludwig Boltzmann and other physicists devised better explanations for electromagnetism and thermodynamics, but in the meantime, the economists had borrowed and altered Helmholtz’s equations.

    The strategy the economists used was as simple as it was absurd—they substituted economic variables for physical ones. Utility (a measure of economic well-being) took the place of energy; the sum of utility and expenditure replaced potential and kinetic energy. A number of well-known mathematicians and physicists told the economists that there was absolutely no basis for making these substitutions. But the economists ignored such criticisms and proceeded to claim that they had transformed their field of study into a rigorously mathematical scientific discipline.

    Strangely enough, the origins of neoclassical economics in mid-19th century physics were forgotten.

www.scientificamerican.com/article.cfm?id=the-economist-has-no-clothes

www.scientificamerican.com/article.cfm?id=does-economics-violate-th

The record of failure is pretty impressive - for example, econometric modelers predicted NAFTA would enrich U.S. laborers as well as Mexican ones - oops. The fact here is that these models are so floppy that anyone can design a model to fit their agenda - if you want more, look at the electricity demand forecast models used by the World Bank to justify bloated loans for idiot projects. There's no shortage of examples.

Nevertheless, no media economist or media quant will discuss this fundamental failure. Here's a typical example of "criticism" - a nice liberal apologist for the economic quants:

krugman.blogs.nytimes.com/2009/09/11/mathematics-and-economics

www.nytimes.com/2009/09/06/magazine/06Economic

Of course, the gurus for the economic quants are well-known: Milton Friedman & Alan Greenspan... maybe a little Ayn Rand for flavor, right?

I too was also annoyed that

I too was also annoyed that AM insinuated Goemans' didn't now how to drink - an obviously falsifiable proposition. Any man who's from the City of Rochester, knows how to handle his Labatt's Blue / Genesee Cream Ale and can top it off at the end of the night with a Double Cheese Burger - Nick Tahou's Garbage Plate wid- extra hot sauce. He is invincible.

Goemans you are my geek-war-hero. If I was only 1/2 as smart as that Nerd.... the possibilities would be limitless.

"I have about as much

"I have about as much interest getting involved in these scholarly disputes as I do catching the Ebola virus."

C'mon. Ebola isn't that bad. It only causes you to hemorrhage to death. Political science turns your brain into a vegetable, thus turning you into something intermediate between (a) a pseudo-zombie who spouts nonsense to others in order to turn their brains to vegetables and (b) an undead non-vampire that sucks up federal grant money rather than blood.

And no, a tomato is not a vegetable, so don't even go there.

Schmedlap: "an undead

Schmedlap:

"an undead non-vampire that sucks up federal grant money rather than blood. "

Even Nobel Prize winners like Elinor Ostrom, who received National Science Foundation grants?

ADTS

Everyone needs to check the

Everyone needs to check the six year quantitative analysis research released in the Dec 2009 Nature magazine
"Ecology of Human Warfare" and then tell me there is no place for "quants" in the area of insurgency research.

http://blog.ted.com/2009/09/the_healthcare.php

Sorry-cut and paste function

Sorry-cut and paste function was to fast---here is the correct link to the released research.

http://blog.ted.com/2009/12/ted_fellow_sean.php

Gourley is totally

Gourley is totally unimpressive.

What about "Military Power", Ex?

outlaw7 that was a beautiful

outlaw7 that was a beautiful example of what I was talking about - page after page of mathematical-statistical expose almost completely disconnected from real-world complexities. You may think this captures the 'core elements' - but the basic assumptions themselves are flawed.

Let's put it in Milton Friedman terms, something even he acknowledged at the end: the externalities can become the dominant factor in a heartbeat. Let's use your example:

...the interesting part of our research is not that it is simply "harder" to kill more people in an attack, but that it is precisely harder to kill more people in an attack. Indeed, our research shows that when alpha equals 2.5 it is 316 times harder for insurgents to kill 100 people in an attack than it is for them to kill 10 people in an attack.

What kind of externalities might pop up here? What data points might skew your entire picture off the map? Oh, I don't know - 9/11 maybe? It was an act of war, carried out mainly by Saudi insurgents against the U.S. (but also clearly aimed at the Saudi Royals and their U.S. relationship). Group size: 19+support. Deaths: 3000+

There are endless other examples. What about external support? What about popular support? What if the insurgents have far more complex and subtle goals than just "killing people?" As far as Ebola - what about a pound of powdered aerosolized Ebola, dumped in the major metropolitan center of your choice?

There are many mathematical distributions that can satisfy the requirement "it is harder to kill more people."

Yeah, so what.

As scientists, our goal is to extract as much information from the data as possible, thereby moving beyond simple notions.

But what is "the data"? You obviously left out some key data points, what about the rest? Your construct is built on some very shaky foundations. Global warming denialists would tear you a new one, but they only attack climate models.

This isn't to say a statistical approach isn't useful - but you've got to include all the data. For example, try looking at the ratio of natural resource wealth to conflict over the past 50 years - you'll see a trend, indeed. Ask Michael Klare - he may have even done some quantitative estimates.

Likelihood of conflict = ([oil] + [minerals] + [water])*(development stage)*(global scarcity factor)

Try starting there.

Again to the topic of

Again to the topic of quantitative analysis of warfare and especially addressed to VIM and G.D.

And gentlemen where is your quantum analysis of warfare? Unless you are driving your own models or are debating the values of the math then where are you coming from as anyone can blog a critique or have a personal opinion. Either test the theory with opposing datasets and then peer release your results for a challenge or basically stop complaining.

You failed to see the tie-in to the theory of open source warfare which the researchers knew nothing about until after they released their research or if you had spent literally hours in interrogation of AQI or ASA insurgents "hearing" their experiences which dovetailed exactly to the listed 14 charateristics then you can blog with authority.

Again this came out today which actually inadvently ties into their research which I point out you has not scienticially been torn apart and I will state the fact that the author "knew" nothing about Sean's research.

Last year, open source warfare received some exciting validation in the form of a scientific study that reached the cover of Nature Magazine (although the theory reached the pinnacle of scientific validation, nobody in the DoD noticed -- wow, seriously, is there anybody with a working brain still working there?). Now Scott Atran, a sharp anthropologist that has been studying terrorism scientifically (although from his narrow area of specialization), has noticed some shifts in terrorist behavior that align more closely to Global Guerrillas using open source warfare than traditional Jihadis. Here's a summary from some Congressional testimony he recently gave.

http://www.edge.org/documents/archive/edge314.html

G.D./vim Again read the

G.D./vim

Again read the research from the perspective of "open source warfare" and review the 14 characteristics they released and tell me they are wrong point by point not wipe it from the table with some simplistic comments.

Show me your 54,000 data set entries on 11 totally different insurgencies over six years and then let's discuss your comments again.

As far as I know they are about the only research team that has actively worked this topic---unless you know of other research that has been recently peer reviewed and released?

Referencing : "Prior to our research no one had observed these types of power-law statistical distributions for the attacks within a specific conflict." I am assuming that both vim and g.d. have released their own research on the topic of power-law distribution in relationship to warfare so they are both in a position to thoroughly discuss if the research is correct or not correct?

Outlaw 7: If you google

Outlaw 7:

If you google Scott Atran and terrorism and Powerpoint, you can come up with some of his slides presentations.

ADTS

A summary of Scott's points

A summary of Scott's points are as follows and they greatly parallel/reenforce the "open source warfare" work done by John Robb since 2004 and the 15 characteristics formulated out of the results of the "Ecology of Human Warfare" research that also points to the validation of "open source warfare".

Here's a summary from some Congressional testimony he recently gave.
•The threat today is from a Qaeda –inspired viral social and political movement... which is particularly contagious among Muslim youth who are increasingly marginalized — economically, socially, politically — and are in transition stages in their lives, such as immigrants, students, and those in search of friends, mates and jobs.
•Economic globalization, which has led to greater access by humankind to material opportunity, has also led to a crisis, even collapse, of cultures, as people unmoored from millennial traditions flail about in search of a social identity. Today's most virulent terrorism is rooted in rootlessness and restlessness.
•Individuals now mostly radicalize horizontally with their peers, rather than vertically through institutional leaders or organizational hierarchies. They do so mostly in small groups of friends — from the same neighborhood or social network — or even as loners who find common cause with a virtual internet community.
•Entry into the jihadi brotherhood is from the bottom up: from alienated and marginalized youth seeking out companionship, esteem, and meaning, but also the thrill of action, sense of empowerment, and glory in fighting the world's most powerful nation and army.
•The boundaries of the newer terrorist networks are very loose and fluid, and the internet now allows anyone who wishes to become a terrorist to become one, anywhere, anytime. More and more, terror networks are intertwined with petty criminal networks: drug trafficking, stolen cars, credit card fraud, and the like.
•Although lack of economic opportunity often reliably leads to criminality, it turns out that some criminal youth really don't want to be criminals after all. Given half a chance to take up a moral cause, they can be even more altruistically prone than others to give up their lives for their comrades and cause.

So why is the IC/DoD so darn quiet about the Ecology research---can it be that is challenges the current views of COIN and the need for the Human Terrain System---for the first time the Ecology research gives Cmdrs on the ground the ability to analyze their decisions and the follow-on 2nd, 3rd or even 5th degree level of effects without risking troops lives with bad decisions.

But wow absolutely no comments on the research from DoD and the IC-granted that many Cmdrs do not hold Ph.Ds but at least show some interest.

Outlaw 7: In re: "Economic

Outlaw 7:

In re: "Economic globalization, which has led to greater access by humankind to material opportunity, has also led to a crisis, even collapse, of cultures, as people unmoored from millennial traditions flail about in search of a social identity" and some of your other points: have you looked at "sense-making crises":

See, e.g., Zonis, Marvin. "Self-objects, self-representation, and sense-making crises: Political instability in the 1980s." Political Psychology, 1984, 5(2), pp. 267-85.

It's a powerful but simple explanation I think for revolutions and the like, but also for more microphenomena such as what you are, I think, alluding to elsewhere in your post: "Accidental Terrorists" (to borrow from David Kilcullen, of course).

Beyond that, I've followed your exposition on HTS on SWJ. Could you elaborate further, please, on how the Human Ecology research undermines the case for HTS? I haven't read the Human Ecology piece in full - my bad, then, if I'm asking a foolish question - but I'm hard-pressed to see how any article is going to change the current paradigm (population-centric COIN?) of how we wage war.

ADTS

Outlaw 7, Stop

Outlaw 7,

Stop hyperventilating. I am not g.d. Please do not conflate our comments. It should be obvious from my previous interjections that I do not object to quantitative analysis per se. In fact, I think that it is very useful, and that Exum's criticism is not coherent.

Gourley is simply regurgitating old research. The fact that the magnitude of conflicts follows a power law distribution was first noted in “Variation of the Frequency of Fatal Quarrels With Magnitude" by Lewis F. Richardson sixty odd years ago.

More thoughts: Are Gourley's

More thoughts:

Are Gourley's findings in the broadest sense really that surprising? No, of course they are not. They are common sense.

Do you need a PhD in quantitative social research to know this? No. A PhD in physics? No. Why would you suggest otherwise? In lieu of real argument. (And in fact, I work in education research and we use a lot of quant methods).

The exact value for alpha--is this really a "law"? No, of course not--it's an empirical regularity in the data set used. E.g., witness Gourley's forecasting error for the outcome of the surge.

Are these data even "facts"? Nope, they're press reports and notoriously unreliable, but Gourley assumes that they are still representative.

Can you give me a practical use for the formula (Probability of X people killed = C(x)^-2.5)?

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