Category Ardennes Campaign Simulation Data Base

Dupuy Institute Data Bases

Yes, I still use data base as two words, much to the annoyance of Jay Karamales.

Anyhow, War by Numbers does rely extensively on a group of combat data bases that were developed over several decades. The earliest versions were developed in the 1970s and they were assembled into a large data base of around 600 cases in the 1980s. They were then computerized (they were originally a paper data base), re-organized, re-programed in Access, and greatly expanded. The data bases we currently have include:

Conventional Combat Data Bases:

LADB = Large Action Data Bases of 55 cases

DLEDB = Division Level Engagement Data Base of 752 cases

BLODB = Battalion Level Operations Data Base of 127 cases

CLEDB = Company Level Engagement Data Base of 98 cases

SADB = Small Action Data Base of 5 cases

BaDB = Battles Data Base of 243 cases from 1600-1900

 

We also have:

CaDB = Campaign Data Base of 196 cases. While the other data bases address battles, or engagements of no more than a few days in length, this one summarizes campaigns, often extending for months.

Finally we have three databases tracking campaigns from day-to-day. They are all programmed in Access:

ACSDB = Ardennes Campaign Simulation Data Base (meaning Battle of the Bulge)

KDB = Kursk Data Base

Battle of Britain Data Base

These were primarily intended for model validation efforts.

We also have three insurgency/peaceeping/intervention/OOTW (Operations Other than War) data bases. They are:

WACCO = Warfare and Armed Conflict Data Base of 793 cases

SSCO = Small Scale Operations Data Base of 203 cases

DISS = Dupuy Insurgency Spread Sheets of 109 cases.

 

The DISS data base was the one that America’s Modern Wars is based upon. The other two were earlier efforts.

These links provides some snap shots of the data base content: http://www.dupuyinstitute.org/dbases.htm

These are all company proprietary, although some have been released publicly in earlier forms or different forms (including the CHASE data base of 599 cases, the ACSDB in Dbase III and the KDB in Dbase IV). Our versions have been updated, including revisions to content.

Economics of Warfare 15-1

Moving onto the fifteenth lecture from Professor Michael Spagat’s Economics of Warfare course that he gives at Royal Holloway University. It is posted on his blog Wars, Numbers and Human Losses at: https://mikespagat.wordpress.com/

This lecture addresses the impact of global warming on armed conflict over time. If you happen to be one of those who believes that global warming is pseudo-science/a scientific hoax/an excuse to troll for research $$$/an invention of Al Gore/a liberal plot/a religion/a Chinese plot/obviously false because it was cold yesterday/and so forth…..then probably best to stop reading. On the other hand, we have done some proposals on measuring the impact of climate change on violence and consider this a legitimate area of study. Our attention was drawn to the subject over a decade ago when a CNA (Center for Naval Analysis) paper came out that postulated that global warming could result in more violence. This conclusion does not appear to have been based upon any analysis of data, just the assumption that as things get worse (in the environment) then things are going to get worse (with armed conflict). Of course, going back to Feierabend & Feierabend (and I do go back to them a lot)….poorer counties had less political violence than developing countries. Therefore, it does not necessarily follow that worse environmental and economics conditions results in more violence. The effect may be the reverse, which is that declining conditions may actually result in a reduction of violence. We really don’t know. Trying to examine these effects analytically was the gist of my proposals on the subject, but sequestration happened and budget for anything seemed to disappear.

So….first two sentences of Dr. Spagat’s slides are

“There is a strong scientific consensus that the Earth is getting warmer over time.”

“It is reasonable to imagine that a side effect of global warming could be an increase in armed conflict over time.”

Slide 2 looks at possible channels that could lead to conflict

  1. Dwindling food supply
  2. Dwindling water supply
  3. Sea Level changes causing migration.

On slide 3 he then addresses a study by Burke and others that attempt to address these concerns using a cross-country regression approach and linear probability model.

On slide 5 the results are summarized as “…an increase of 1 degree centigrade for a  particularly country in a particular year is associated with a 0.0447 increase in the probability of there being an ongoing civil war….”

and on slide 11 as: “This means that Burke et al. predict that 15.8-17.1% of the countries in Sub-Saharan Africa in 2030 will suffer from big civil wars rather than the 11% that would occur without the warming climate.”

and on slide 16 as: “Burke et al. go on to predict 393,000 excess battle deaths caused by climate change…” (my bolding). Dr. Spagat then examines this number in the next two slides. It doesn’t sound like he fully accepts it.

Now, Burke based his study on the period from 1981-2002. One of Dr. Spagat’s TAs then used the model to make predictions from the period 2003-2013. There is nothing like trying to use a model to predict the past. It sort of shows whether it really works or not. This was the reasoning because the Ardennes Campaign Simulation Data Base and the Kursk Data Base that we did (they were model validation data bases). It is related in concept to what I did in America’s Modern War, pages 65-68 when I tested my logistics probability model back to the 68 cases used to create the model and tried to figure out for each case why the model was predicting wrong. Once you have a model, there are lots of things to test it to in the past. If you can’t predict the past, you may not be able to predict the future.

Anyhow, the results are on slide 19 and summarized in slide 20 as

  1. “There are 414 “no war” predictions…A war actually happens in 11 out of these 414 cases.”
  2. “There are 37 predictions of “war”. War actually happens in 7 out of these 37 cases.”

Not sure I am any smarter at this point, but I am certainly amused.

His final point is “The Burke et al. model seems to be of some use in predicting wars although it seems have a general tendency to predict war too often.”

And then Dr. Spagat TA test how important the temperature variable is for making these predictions, so takes the temperature variable out of the model !!! This produces a table (slide 21) that is almost identical to his original table. The impact of removing the temperature from the model is that it produced five more false positives (predicted wars that did not happen). I am even more amused.

Spagat’s conclusion (slide 22) is “…They mean that temperature is not very useful for predicting civil war….”

This is a good point to stop…I will pick up the rest of this lecture in another post. The link to the lecture is here: http://personal.rhul.ac.uk/uhte/014/Economics%20of%20Warfare/Lecture%2015.pdf

Lanchester equations have been weighed….

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There have been a number of tests of Lanchester equations to historical data over the years. Versions of Lanchester equations were implemented in various ground combat models in the late 1960s and early 1970s without any rigorous testing. As John Stockfish of RAND stated in 1975 in his report: Models, Data, and War: A Critique of the Study of Conventional Forces:

However Lanchester is presently esteemed for his ‘combat model,’ and specifically his ‘N-square law’ of combat, which is nothing more than a mathematical formulation of the age-old military principal of force concentration. That there is no clear empirical verification of this law, or that Lanchester’s model or present versions of it may in fact be incapable of verification, have not detracted from this source of his luster.”

Since John Stockfish’s report in 1975 the tests of Lanchester have included:

(1) Janice B. Fain, “The Lanchester Equations and Historical Warfare: An Analysis of Sixty World War II Land Engagements.” Combat Data Subscription Service (HERO, Arlington, VA, Spring 1977);

(2) D. S. Hartley and R. L. Helmbold, “Validating Lanchester’s Square Law and Other Attrition Models,” in Warfare Modeling, J. Bracken, M. Kress, and R. E. Rosenthal, ed., (New York: John Wiley & Sons, 1995) and originally published in 1993;

(3) Jerome Bracken, “Lanchester Models of the Ardennes Campaign in Warfare Modeling (John Wiley & sons, Danvers, MA, 1995);

(4) R. D. Fricker, “Attrition Models of the Ardennes Campaign,” Naval Research Logistics, vol. 45, no. 1, January 1997;

(5) S. C. Clemens, “The Application of Lanchester Models to the Battle of Kursk” (unpublished manuscript, May 1997);

(6) 1LT Turker Turkes, Turkish Army, “Fitting Lanchester and Other Equations to the Battle of Kursk Data,” Dissertation for MS in Operations Research, March 2000;

(7) Captain John Dinges, U.S. Army, “Exploring the Validation of Lanchester Equations for the Battle of Kursk,” MS in Operations Research, June 2001;

(8) Tom Lucas and Turker Turkes, “Fitting Lanchester Equations to the Battles of Kursk and Ardennes,” Naval Research Logistics, 51, February 2004, pp. 95-116;

(9) Thomas W. Lucas and John A. Dinges, “The Effect of Battle Circumstances on Fitting Lanchester Equations to the Battle of Kursk,” forthcoming in Military Operations Research.

In all cases, it was from different data sets developed by us, with eight of the tests conducted completely independently of us and without our knowledge.

In all cases, they could not establish a Lanchester square law and really could not establish the Lanchester linear law. That is nine separate and independent tests in a row with basically no result. Furthermore, there has never been a test to historical data (meaning real-world combat data) that establishes Lanchester does apply to ground combat. This is added to the fact that Lanchester himself did not think it should. It does not get any clearer than that.

As Morse & Kimball stated in 1951 in Methods of Operations Research

Occasionally, however, it is useful to insert these constants into differential equations, to see what would happen in the long run if conditions were to remain the same, as far as the constants go. These differential equations, in order to be soluble, will have to represent extremely simplified forms of warfare; and therefore their range of applicability will be small.

And later they state:

Indeed an important problem in operations research for any type of warfare is the investigation, both theoretical and statistical, as to how nearly Lanchester’s laws apply.

I think this has now been done for land warfare, at last. Therefore, I conclude: Lanchester equations have been weighed, they have been measured, and they have been found wanting.

Really…..Lanchester?

RAND described the combat system from their hex boardgame as such:

The general game design was similar to that of traditional board wargames, with a hex grid governing movement superimposed on a map. Tactical Pilotage Charts (1:500,000 scale) were used, overlaid with 10-km hexes, as seen in Figure A.1. Land forces were represented at the battalion level and air units as squadrons; movement and combat were governed and adjudicated using rules and combat-result tables that incorporated both traditional gaming principles (e.g., Lanchester exchange rates) and the results of offline modeling….”

Now this catches my attention. Switching from a “series of tubes” to a hexagon boardgame brings back memories, but it is understandable. On the other hand, it is pretty widely known that no one has been able to make Lanchester equations work when tested to historical ground combat. There have been multiple efforts conducted to test this, mostly using the Ardennes and Kursk databases that we developed. In particular, Jerome Braken published his results in Modeling Warfare and Dr. Thomas Lucas out at Naval Post-Graduate School has conducted multiple tests to try to do the same thing. They all point to the same conclusion, which is that Lanchester equations do not really work for ground combat. They might work for air, but it is hard to tell from the RAND write-up whether they restricted the use of “Lanchester exchange rates” to only air combat. I could make the point by referencing many of these studies but this would be a long post. The issue is briefly discussed in Chapter Eighteen of my upcoming book War by Numbers and is discussed in depth in the TDI report “Casualty Estimation Methodologies Study.” Instead I will leave it to Frederick Lanchester himself, writing in 1914, to summarize the problem:

We have already seen that the N-square law applies broadly, if imperfectly, to military operations. On land, however, there sometimes exist special conditions and a multitude of factors extraneous to the hypothesis, whereby its operations may be suspended or masked.