Mystics & Statistics

Survey of German WWI Records

At one point, we did a survey of German records from World War I. This was for an exploratory effort to look at measuring the impact of chemical weapons in an urban environment. As World War I was one of the few wars with extensive use of chemical weapons, then it was natural to look there for operational use of chemical weapons. Specifically we were looking at the use of chemical weapons in villages and such, as there was little urban combat in World War I.

As discussed in my last post on this subject, there is a two-sided collection of records in the U.S. Archives for those German units that fought the Americans in 1918. As our customer was British, they wanted to work with British units. They conducted the British research, but, they needed records from the German side. Ironically, the German World War I records were destroyed by the British bombing of Potsdam in April 1945. So where to find good opposing force data for units facing the British during World War I?

Germany did not form into a nation until 1871. During World War I, there were still several independent states, and duchies inside of the Germany and some of these maintained their own armies. The kingdoms of Bavaria, Wurttemberg and Saxony, along with the Grand Duchy of Baden fielded their own armies. They raised their own units and maintained their own records. So, if they maintained their records from World War I then we could developed a two-sided database of combat between the British and Germans in those cases where the British units opposed German units from those states.

So….for practical purposes, we ended up making a “research trip” to Freiburg (German archives), Stuttgart (Wurttemberg) and then Munich (Bavaria). Sure enough, Wurttemberg had an nice collection of records for its units (a total of seven divisions during the war) and Bavaria still had a complete collection of records for its many divisions. The Bavarian Army fielded over a dozen divisions during the war.

So we ended up in Munich for several days going through their records. Their archives were located near Munich’s Olympic Park, the place of the tragic 1972 Olympics. It was in the old Bavarian Army headquarters that had been converted to an archives. After World War II, it was occupied by the Americans, and on the doors of many of the offices was still the name tags of the American NCOs and officers who last occupied those offices. The records were in great shape. The German Army just before WWII had done a complete inventory of the Bavarian records and made sure that there were complete. It was clear that when we looked into that, that many of these files had not been opened since then. Many of the files had sixty years of dust on them. The exception was the Sixth Bavarian Reserve Division, which clearly had been accessed several times recently. Adolf Hitler had served in that division in WWI.

The staff was extremely helpful. I did bring them gifts of candy for their efforts. They were  neatly wrapped in the box with plastic mice attached to the packaging. Later, they sent me this:

So we were able to establish that good German data could be assembled for those Wurttemberg and Bavarian units that the face the British. The British company that hired us determine that the British records were good for their research efforts. So the exploratory research effort was a success, but main effort was never funded because of changing priorities among their sponsors. This research was occurring while the Iraq War (2003-2011) was going on, so sometimes budget priorities would change rather suddenly.

The Iran-Iraq War (1980-1988) also made extensive used of chemical weapons. This is discussed in depth in our newsletters. See: http://www.dupuyinstitute.org/tdipub4.htm  (issues Vol 2, No. 3; Vol 2, No. 4, Vol. 3, No 1, and Vol 3, No 2). Specifically see: http://www.dupuyinstitute.org/pdf/Issue11.pdf, page 21. To date, I am not aware of any significant work done on chemical warfare based upon their records of the war.

This post is the follow-up to these two posts:

Captured Records: World War I

The Sad Story Of The Captured Iraqi DESERT STORM Documents

New U.S. Army Security Force Assistance Brigades Face Challenges

The shoulder sleeve insignia of the U.S. Army 1st Security Forces Assistance Brigade (SFAB). [U.S. Army]

The recent deaths of four U.S. Army Special Forces (ARSOF) operators in an apparent ambush in support of the Train and Assist mission in Niger appears to have reminded Congress of the enormous scope of ongoing Security Force Assistance (SFA) activities being conducted world-wide by the Defense Department. U.S. military forces deployed to 138 countries in 2016, the majority of which were by U.S. Special Operations Forces (SOF) conducting SFA activities. (While SFA deployments continue at a high tempo, the number of U.S. active-duty troops stationed overseas has fallen below 200,000 for the first time in 60 years, interestingly enough.)

SFA is the umbrella term for U.S. whole-of-government support provided to develop the capability and capacity of foreign security forces and institutions. SFA is intended to help defend host nations from external and internal threats, and encompasses foreign internal defense (FID), counterterrorism (CT), counterinsurgency (COIN), and stability operations.

Last year, the U.S. Army announced that it would revamp its contribution to SFA by creating a new type of unit, the Security Force Assistance Brigade (SFAB), and by establishing a Military Advisor Training Academy. The first of six projected SFABs is scheduled to stand up this month at Ft. Benning, Georgia.

Rick Montcalm has a nice piece up at the Modern War Institute describing the doctrinal and organizational challenges the Army faces in implementing the SFABs. The Army’s existing SFA structure features regionally-aligned Brigade Combat Teams (BCTs) providing combined training and partnered mission assistance for foreign conventional forces from the team to company level, while ARSOF focuses on partner-nation counterterrorism missions and advising and assisting commando and special operations-type forces.

Ideally, the SFABs would supplement and gradually replace most, but not all, of the regionally-aligned BCTs to allow them to focus on warfighting tasks. Concerns have arisen with the ARSOF community, however, that a dedicated SFAB force would encroach functionally on its mission and compete within the Army for trained personnel. The SFABs currently lack the intelligence capabilities necessary to successfully conduct the advisory mission in hostile environments. Although U.S. Army Chief of Staff General Mark Milley asserts that the SFABs are not Special Forces, properly preparing them for advise and assist roles would make them very similar to existing ARSOF.

Montcalm also points out that Army personnel policies complicate maintain the SFABs in the long-term. The Army has not created a specific military advisor career field and volunteering to serve in a SFAB could complicate the career progression of active duty personnel. Although the Army has taken steps to address this, the prospect of long repeat overseas tours and uncertain career prospects has forced the service to offer cash incentives and automatic promotions to bolster SFAB recruiting. As of August, the 1st SFAB needed 350 more soldiers to fully man the unit, which was scheduled to be operational in November.

SFA and the Army’s role in it will not decline anytime soon, so there is considerable pressure to make the SFAB concept successful. Yet, in light of the largely unsuccessful efforts to build effective security forces in Iraq and Afghanistan, it remains an open question if the SFAB’s themselves will be enough to remedy the Army’s problematic approach to building partner capacity.

The 3-to-1 Rule in Histories

I was reading a book this last week, The Blitzkrieg Legend: The 1940 Campaign in the West by Karl-Heinz Frieser (originally published in German in 1996). On page 54 it states:

According to a military rule of thumb, the attack should be numerically superior to the defender at a ratio of 3:1. That ratio goes up if the defender can fight from well developed fortification, such as the Maginot Line.

This “rule” never seems to go away. Trevor Dupuy had a chapter on it in Understanding War, published in 1987. It was Chapter 4: The Three-to-One Theory of Combat. I didn’t really bother discussing the 3-to-1 rule in my book, War by Numbers: Understanding Conventional Combat. I do have a chapter on force ratios: Chapter 2: Force Ratios. In that chapter I show a number of force ratios based on history. Here is my chart from the European Theater of Operations, 1944 (page 10):

Force Ratio…………………..Result……………..Percentage of Failure………Number of Cases

0.55 to 1.01-to-1.00…………Attack Fails………………………….100……………………………………5

1.15 to 1.88-to-1.00…………Attack usually succeeds………21…………………………………..48

1.95 to 2.56-to-1.00…………Attack usually succeeds………10…………………………………..21

2.71 to 1.00 and higher….Attack advances……………………..0…………………………………..42

 

We have also done a number of blog posts on the subject (click on our category “Force Ratios”), primarily:

Trevor Dupuy and the 3-1 Rule

You will also see in that blog post another similar chart showing the odds of success at various force ratios.

Anyhow, I kind of think that people should probably quit referencing the 3-to-1 rule. It gives it far more weight and attention than it deserves.

 

TDI Friday Read: U.S. Airpower

[Image by Geopol Intelligence]

This weekend’s edition of TDI’s Friday Read is a collection of posts on the current state of U.S. airpower by guest contributor Geoffery Clark. The same factors changing the character of land warfare are changing the way conflict will be waged in the air. Clark’s posts highlight some of the way these changes are influencing current and future U.S. airpower plans and concepts.

F-22 vs. F-35: Thoughts On Fifth Generation Fighters

The F-35 Is Not A Fighter

U.S. Armed Forces Vision For Future Air Warfare

The U.S. Navy and U.S. Air Force Debate Future Air Superiority

U.S. Marine Corps Concepts of Operation with the F-35B

The State of U.S. Air Force Air Power

Fifth Generation Deterrence

 

The Effects Of Dispersion On Combat

[The article below is reprinted from the December 1996 edition of The International TNDM Newsletter. A revised version appears in Christopher A. Lawrence, War by Numbers: Understanding Conventional Combat (Potomac Books, 2017), Chapter 13.]

The Effects of Dispersion on Combat
by Christopher A. Lawrence

The TNDM[1] does not play dispersion. But it is clear that dispersion has continued to increase over time, and this must have some effect on combat. This effect was identified by Trevor N. Dupuy in his various writings, starting with the Evolution of Weapons and Warfare. His graph in Understanding War of the battle casualties trends over time is presented here as Figure 1. As dispersion changes over time (dramatically), one would expect the casualties would change over time. I therefore went back to the Land Warfare Database (the 605 engagement version[2]) and proceeded to look at casualties over time and dispersion from every angle that l could.

l eventually realized that l was going to need some better definition of the time periods l was measuring to, as measuring by years scattered the data, measuring by century assembled the data in too gross a manner, and measuring by war left a confusing picture due to the number of small wars with only two or three battles in them in the Land Warfare Database. I eventually defined the wars into 14 categories, so I could fit them onto one readable graph:

To give some idea of how representative the battles listed in the LWDB were for covering the period, I have included a count of the number of battles listed in Michael Clodfelter’s two-volume book Warfare and Armed Conflict, 1618-1991. In the case of WWI, WWII and later, battles tend to be defined as a divisional-level engagement, and there were literally tens of thousands of those.

I then tested my data again looking at the 14 wars that I defined:

  • Average Strength by War (Figure 2)
  • Average Losses by War (Figure 3)
  • Percent Losses Per Day By War (Figure 4)a
  • Average People Per Kilometer By War (Figure 5)
  • Losses per Kilometer of Front by War (Figure 6)
  • Strength and Losses Per Kilometer of Front By War (Figure 7)
  • Ratio of Strength and Losses per Kilometer of Front by War (Figure 8)
  • Ratio of Strength and Loses per Kilometer of Front by Century (Figure 9)

A review of average strengths over time by century and by war showed no surprises (see Figure 2). Up through around 1900, battles were easy to define: they were one- to three-day affairs between clearly defined forces at a locale. The forces had a clear left flank and right flank that was not bounded by other friendly forces. After 1900 (and in a few cases before), warfare was fought on continuous fronts

with a ‘battle’ often being a large multi-corps operation. It is no longer clearly understood what is meant by a battle, as the forces, area covered, and duration can vary widely. For the LWDB, each battle was defined as the analyst wished. ln the case of WWI, there are a lot of very large battles which drive the average battle size up. ln the cases of the WWII, there are a lot of division-level battles, which bring the average down. In the case of the Arab-Israeli Wars, there are nothing but division and brigade-level battles, which bring the average down.

The interesting point to notice is that the average attacker strength in the 16th and 17th century is lower than the average defender strength. Later it is higher. This may be due to anomalies in our data selection.

Average loses by war (see Figure 3) suffers from the same battle definition problem.

Percent losses per day (see Figure 4) is a useful comparison through the end of the 19th Century. After that, the battles get longer and the definition of a duration of the battle is up to the analyst. Note the very dear and definite downward pattern of percent loses per day from the Napoleonic Wars through the Arab-Israeli Wars. Here is a very clear indication of the effects of dispersion. It would appear that from the 1600s to the 1800s the pattern was effectively constant and level, then declines in a very systematic pattern. This partially contradicts Trevor Dupuy’s writing and graphs (see Figure 1). It does appear that after this period of decline that the percent losses per day are being set at a new, much lower plateau. Percent losses per day by war is attached.

Looking at the actual subject of the dispersion of people (measured in people per kilometer of front) remained relatively constant from 1600 through the American Civil War (see Figure 5). Trevor Dupuy defined dispersion as the number of people in a box-like area. Unfortunately, l do not know how to measure that. lean clearly identify the left and right of a unit, but it is more difficult to tell how deep it is Furthermore, density of occupation of this box is far from uniform, with a very forward bias By the same token, fire delivered into this box is also not uniform, with a very forward bias. Therefore, l am quite comfortable measuring dispersion based upon unit frontage, more so than front multiplied by depth.

Note, when comparing the Napoleonic Wars to the American Civil War that the dispersion remains about the same. Yet, if you look at the average casualties (Figure 3) and the average percent casualties per day (Figure 4), it is clear that the rate of casualty accumulation is lower in the American Civil War (this again partially contradicts Dupuy‘s writings). There is no question that with the advent of the Minié ball, allowing for rapid-fire rifled muskets, the ability to deliver accurate firepower increased.

As you will also note, the average people per linear kilometer between WWI and WWII differs by a factor of a little over 1.5 to 1. Yet the actual difference in casualties (see Figure 4) is much greater. While one can just postulate that the difference is the change in dispersion squared (basically Dupuy‘s approach), this does not seem to explain the complete difference, especially the difference between the Napoleonic Wars and the Civil War.

lnstead of discussing dispersion, we should be discussing “casualty reduction efforts.” This basically consists of three elements:

  • Dispersion (D)
  • Increased engagement ranges (R)
  • More individual use of cover and concealment (C&C).

These three factors together result in the reduced chance to hit. They are also partially interrelated, as one cannot make more individual use of cover and concealment unless one is allowed to disperse. So, therefore. The need for cover and concealment increases the desire to disperse and the process of dispersing allows one to use more cover and concealment.

Command and control are integrated into this construct as being something that allows dispersion, and dispersion creates the need for better command control. Therefore, improved command and control in this construct does not operate as a force modifier, but enables a force to disperse.

Intelligence becomes more necessary as the opposing forces use cover and concealment and the ranges of engagement increase. By the same token, improved intelligence allows you to increase the range of engagement and forces the enemy to use better concealment.

This whole construct could be represented by the diagram at the top of the next page.

Now, I may have said the obvious here, but this construct is probably provable in each individual element, and the overall outcome is measurable. Each individual connection between these boxes may also be measurable.

Therefore, to measure the effects of reduced chance to hit, one would need to measure the following formula (assuming these formulae are close to being correct):

(K * ΔD) + (K * ΔC&C) + (K * ΔR) = H

(K * ΔC2) = ΔD

(K * ΔD) = ΔC&C

(K * ΔW) + (K * ΔI) = ΔR

K = a constant
Δ = the change in….. (alias “Delta”)
D = Dispersion
C&C = Cover & Concealment
R = Engagement Range
W = Weapon’s Characteristics
H = the chance to hit
C2 = Command and control
I = Intelligence or ability to observe

Also, certain actions lead to a desire for certain technological and system improvements. This includes the effect of increased dispersion leading to a need for better C2 and increased range leading to a need for better intelligence. I am not sure these are measurable.

I have also shown in the diagram how the enemy impacts upon this. There is also an interrelated mirror image of this construct for the other side.

I am focusing on this because l really want to come up with some means of measuring the effects of a “revolution in warfare.” The last 400 years of human history have given us more revolutionary inventions impacting war than we can reasonably expect to see in the next 100 years. In particular, I would like to measure the impact of increased weapon accuracy, improved intelligence, and improved C2 on combat.

For the purposes of the TNDM, I would very specifically like to work out an attrition multiplier for battles before WWII (and theoretically after WWII) based upon reduced chance to be hit (“dispersion”). For example, Dave Bongard is currently using an attrition multiplier of 4 for his WWI engagements that he is running for the battalion-level validation data base.[3] No one can point to a piece of paper saying this is the value that should be used. Dave picked this value based upon experience and familiarity with the period.

I have also attached Average Loses per Kilometer of Front by War (see Figure 6 above), and a summary chart showing the two on the same chart (see figure 7 above).

The values from these charts are:

The TNDM sets WWII dispersion factor at 3,000 (which l gather translates into 30,000 men per square kilometer). The above data shows a linear dispersion per kilometer of 2,992 men, so this number parallels Dupuy‘s figures.

The final chart I have included is the Ratio of Strength and Losses per Kilometer of Front by War (Figure 8). Each line on the bar graph measures the average ratio of strength over casualties for either the attacker or defender. Being a ratio, unusual outcomes resulted in some really unusually high ratios. I took the liberty of taking out six

data points because they appeared unusually lop-sided. Three of these points are from the English Civil War and were way out of line with everything else. These were the three Scottish battles where you had a small group of mostly sword-armed troops defeating a “modem” army. Also, Walcourt (1689), Front Royal (1862), and Calbritto (1943) were removed. L also have included the same chart, except by century (Figure 9).
Again, one sees a consistency in results in over 300+ years of war, in this case going all the way through WWI, then sees an entirely different pattern with WWII and the Arab-Israeli Wars

A very tentative set of conclusions from all this is:

  1. Dispersion has been relatively constant and driven by factors other than firepower from 1600-1815.
  2. Since the Napoleonic Wars, units have increasingly dispersed (found ways to reduce their chance to be hit) in response to increased lethality of weapons.
  3. As a result of this increased dispersion, casualties in a given space have declined.
  4. The ratio of this decline in casualties over area have been roughly proportional to the strength over an area from 1600 through WWI. Starting with WWII, it appears that people have dispersed faster than weapons lethality, and this trend has continued.
  5. In effect, people dispersed in direct relation to increased firepower from 1815 through 1920, and then after that time dispersed faster than the increase in lethality.
  6. It appears that since WWII, people have gone back to dispersing (reducing their chance to be hit) at the same rate that firepower is increasing.
  7. Effectively, there are four patterns of casualties in modem war:

Period 1 (1600 – 1815): Period of Stability

  • Short battles
  • Short frontages
  • High attrition per day
  • Constant dispersion
  • Dispersion decreasing slightly after late 1700s
  • Attrition decreasing slightly after mid-1700s.

Period 2 (1816 – 1905): Period of Adjustment

  • Longer battles
  • Longer frontages
  • Lower attrition per day
  • Increasing dispersion
  • Dispersion increasing slightly faster than lethality

Period 3 (1912 – 1920): Period of Transition

  • Long Battles
  • Continuous Frontages
  • Lower attrition per day
  • Increasing dispersion
  • Relative lethality per kilometer similar to past, but lower
  • Dispersion increasing slightly faster than lethality

Period 4 (1937 – present): Modern Warfare

  • Long Battles
  • Continuous Frontages
  • Low Attrition per day
  • High dispersion (perhaps constant?)
  • Relatively lethality per kilometer much lower than the past
  • Dispersion increased much faster than lethality going into the period.
  • Dispersion increased at the same rate as lethality within the period.

So the question is whether warfare of the next 50 years will see a new “period of adjustment,” where the rate of dispersion (and other factors) adjusts in direct proportion to increased lethality, or will there be a significant change in the nature of war?

Note that when l use the word “dispersion” above, l often mean “reduced chance to be hit,” which consists of dispersion, increased engagement ranges, and use of cover & concealment.

One of the reasons l wandered into this subject was to see if the TNDM can be used for predicting combat before WWII. l then spent the next few days attempting to find some correlation between dispersion and casualties. Using the data on historical dispersion provided above, l created a mathematical formulation and tested that against the actual historical data points, and could not get any type of fit.

I then locked at the length of battles over time, at one-day battles, and attempted to find a pattern. I could find none. I also looked at other permutations, but did not keep a record of my attempts. I then looked through the work done by Dean Hartley (Oakridge) with the LWDB and called Paul Davis (RAND) to see if there was anyone who had found any correlation between dispersion and casualties, and they had not noted any.

It became clear to me that if there is any such correlation, it is buried so deep in the data that it cannot be found by any casual search. I suspect that I can find a mathematical correlation between weapon lethality, reduced chance to hit (including dispersion), and casualties. This would require some improvement to the data, some systematic measure of weapons lethality, and some serious regression analysis. I unfortunately cannot pursue this at this time.

Finally, for reference, l have attached two charts showing the duration of the battles in the LWDB in days (Figure 10, Duration of Battles Over Time and Figure 11, A Count of the Duration of Battles by War).

NOTES

[1] The Tactical Numerical Deterministic Model, a combat model developed by Trevor Dupuy in 1990-1991 as the follow-up to his Quantified Judgement Model. Dr. James G. Taylor and Jose Perez also contributed to the TNDM’s development.

[2] TDI’s Land Warfare Database (LWDB) was a revised version of a database created by the Historical Evaluation Research Organization (HERO) for the then-U.S. Army Concepts and Analysis Agency (now known as the U.S. Army Center for Army Analysis (CAA)) in 1984. Since the original publication of this article, TDI expanded and revised the data into a suite of databases.

[3] This matter is discussed in Christopher A. Lawrence, “The Second Test of the TNDM Battalion-Level Validations: Predicting Casualties,” The International TNDM Newsletter, April 1997, pp. 40-50.

Raqqa Has Fallen

It would appear that Raqqa has fallen: https://www.yahoo.com/news/islamic-state-raqqa-mounts-last-stand-around-city-083330251.html

  1. This announcement comes from U.S.-backed militias.
  2. It was only a four-month battle (in contrast to Mosul).
  3. “A formal declaration of victory in Raqqa will be made soon”

This does appear to end the current phase of the Islamic State, which exploded out of the desert to take Raqqa and Mosul in the first half of 2014. It lasted less than 4 years. It was an interesting experiment for a guerilla movement to suddenly try to seize power in several cities and establish a functioning state in the middle of a war. Sort of gave conventional forces something to attack. You wonder if this worked to the advantage of ISIL in the long run or not.

I gather now that the state-less Islamic state will go back to being a guerilla movement. Not sure what its long term prognosis is. This is still a far-from-resolved civil war going on in Syria.

Captured Records: World War I

When Shawn Woodford sent me that article on the Captured Iraqi Records, it reminded me of a half-dozen examples I had dealt with over the years. This will keep me blogging for a week or more. Let me start a hundred years ago, with World War I.

The United States signed a separate treaty with Germany after the end of World War I. We were not part of the much maligned Versailles Treaty (although we had to come back to Europe to help clean up the mess they made of the peace). As part of that agreement, we required access to the German military archives.

We used this access well. We put together a research team that included Lt. Colonel Walter Kruger. The United States plopped this team of researchers in Germany for a while and carefully copied all the records of German units that the United States faced. This really covered only the last year of a war that lasted over four years (28 July 1914 – 11 November 1918). Krueger was in Germany with the team in 1922. This was a pretty significant effort back in the days before Xerox machines, microfilm, scanners, and other such tools.

These records were later saved to the U.S. National Archives. So one can access those records now, and will find the records of U.S. units involved, the German units involved (much of it translated), along with maps and descriptions of the fighting. It is all nicely assembled for researchers. It is a very meticulous and nicely done collection.

Just to add to the importance of this record collection, the German archives in Potsdam were bombed by the RAF in April 1945, destroying most of their World War I records (this raid on 14/15 April: apr45 and also: bundesarchiv). So, one cannot now go back and look up these German records. The only surviving primary source combat records for many German units from World War I is the records in the U.S. Archives copied (translated and typed from the original) done by the U.S. researchers.

Lt. Colonel Krueger was fluent in German because of his family background (he was born in Prussia). During World War II, he rose to be a full general (four-star general) in command of the Sixth Army in the Pacific: https://en.wikipedia.org/wiki/Walter_Krueger

This effort sets that standard almost a hundred years ago of what could/should be done with captured records. A later post will discuss the World War II effort.

The Sad Story Of The Captured Iraqi DESERT STORM Documents

 

U.S. Army Updates Draft Multi-Domain Battle Operating Concept

The U.S. Army Training and Doctrine Command has released a revised draft version of its Multi-Domain Battle operating concept, titled “Multi-Domain Battle: Evolution of Combined Arms for the 21st Century, 2025-2040.” Clearly a work in progress, the document is listed as version 1.0, dated October 2017, and as a draft and not for implementation. Sydney J. Freeberg, Jr. has an excellent run-down on the revision at Breaking Defense.

The update is the result of the initial round of work between the U.S. Army and U.S. Air Force to redefine the scope of the multi-domain battlespace for the Joint Force. More work will be needed to refine the concept, but it shows remarkable cooperation in forging a common warfighting perspective between services long-noted for their independent thinking.

On a related note, Albert Palazzo, an Australian defense thinker and one of the early contributors to the Multi-Domain Battle concept, has published the first of a series of articles at The Strategy Bridge offering constructive criticism of the U.S. military’s approach to defining the concept. Palazzo warns that the U.S. may be over-emphasizing countering potential Russian and Chinese capabilities in its efforts and not enough on the broad general implications of long-range fires with global reach.

What difference can it make if those designing Multi-Domain Battle are acting on possibly the wrong threat diagnosis? Designing a solution for a misdiagnosed problem can result in the inculcation of a way of war unsuited for the wars of the future. One is reminded of the French Army during the interwar period. No one can accuse the French of not thinking seriously about war during these years, but, in the doctrine of the methodical battle, they got it wrong and misread the opportunities presented by mechanisation. There were many factors contributing to France’s defeat, but at their core was a misinterpretation of the art of the possible and a singular focus on a particular way of war. Shaping Multi-Domain Battle for the wrong problem may see the United States similarly sow the seeds for a military disaster that is avoidable.

He suggests that it would be wise for U.S. doctrine writers to take a more considered look at potential implications before venturing too far ahead with specific solutions.

TDI Friday Read: Principles Of War & Verities Of Combat

[izquotes.com]

Trevor Dupuy distilled his research and analysis on combat into a series of verities, or what he believed were empirically-derived principles. He intended for his verities to complement the classic principles of war, a slightly variable list of maxims of unknown derivation and provenance, which describe the essence of warfare largely from the perspective of Western societies. These are summarized below.

What Is The Best List Of The Principles Of War?

The Timeless Verities of Combat

Trevor N. Dupuy’s Combat Attrition Verities

Trevor Dupuy’s Combat Advance Rate Verities

Military History and Validation of Combat Models

Soldiers from Britain’s Royal Artillery train in a “virtual world” during Exercise Steel Sabre, 2015 [Sgt Si Longworth RLC (Phot)/MOD]

Military History and Validation of Combat Models

A Presentation at MORS Mini-Symposium on Validation, 16 Oct 1990

By Trevor N. Dupuy

In the operations research community there is some confusion as to the respective meanings of the words “validation” and “verification.” My definition of validation is as follows:

“To confirm or prove that the output or outputs of a model are consistent with the real-world functioning or operation of the process, procedure, or activity which the model is intended to represent or replicate.”

In this paper the word “validation” with respect to combat models is assumed to mean assurance that a model realistically and reliably represents the real world of combat. Or, in other words, given a set of inputs which reflect the anticipated forces and weapons in a combat encounter between two opponents under a given set of circumstances, the model is validated if we can demonstrate that its outputs are likely to represent what would actually happen in a real-world encounter between these forces under those circumstances

Thus, in this paper, the word “validation” has nothing to do with the correctness of computer code, or the apparent internal consistency or logic of relationships of model components, or with the soundness of the mathematical relationships or algorithms, or with satisfying the military judgment or experience of one individual.

True validation of combat models is not possible without testing them against modern historical combat experience. And so, in my opinion, a model is validated only when it will consistently replicate a number of military history battle outcomes in terms of: (a) Success-failure; (b) Attrition rates; and (c) Advance rates.

“Why,” you may ask, “use imprecise, doubtful, and outdated history to validate a modem, scientific process? Field tests, experiments, and field exercises can provide data that is often instrumented, and certainly more reliable than any historical data.”

I recognize that military history is imprecise; it is only an approximate, often biased and/or distorted, and frequently inconsistent reflection of what actually happened on historical battlefields. Records are contradictory. I also recognize that there is an element of chance or randomness in human combat which can produce different results in otherwise apparently identical circumstances. I further recognize that history is retrospective, telling us only what has happened in the past. It cannot predict, if only because combat in the future will be fought with different weapons and equipment than were used in historical combat.

Despite these undoubted problems, military history provides more, and more accurate information about the real world of combat, and how human beings behave and perform under varying circumstances of combat, than is possible to derive or compile from arty other source. Despite some discrepancies, patterns are unmistakable and consistent. There is always a logical explanation for any individual deviations from the patterns. Historical examples that are inconsistent, or that are counter-intuitive, must be viewed with suspicion as possibly being poor or false history.

Of course absolute prediction of a future event is practically impossible, although not necessarily so theoretically. Any speculations which we make from tests or experiments must have some basis in terms of projections from past experience.

Training or demonstration exercises, proving ground tests, field experiments, all lack the one most pervasive and most important component of combat: Fear in a lethal environment. There is no way in peacetime, or non-battlefield, exercises, test, or experiments to be sure that the results are consistent with what would have been the behavior or performance of individuals or units or formations facing hostile firepower on a real battlefield.

We know from the writings of the ancients (for instance Sun Tze—pronounced Sun Dzuh—and Thucydides) that have survived to this day that human nature has not changed since the dawn of history. The human factor the way in which humans respond to stimuli or circumstances is the most important basis for speculation and prediction. What about the “scientific” approach of those who insist that we cart have no confidence in the accuracy or reliability of historical data, that it is therefore unscientific, and therefore that it should be ignored? These people insist that only “scientific” data should be used in modeling.

In fact, every model is based upon fundamental assumptions that are intuitive and unprovable. The first step in the creation of a model is a step away from scientific reality in seeking a basis for an unreal representation of a real phenomenon. I have shown that the unreality is perpetuated when we use other imitations of reality as the basis for representing reality. History is less than perfect, but to ignore it, and to use only data that is bound to be wrong, assures that we will not be able to represent human behavior in real combat.

At the risk of repetition, and even of protesting too much, let me assure you that I am well aware of the shortcomings of military history:

The record which is available to us, which is history, only approximately reflects what actually happened. It is incomplete. It is often biased, it is often distorted. Even when it is accurate, it may be reflecting chance rather than normal processes. It is neither precise nor consistent. But, it provides more, and more accurate, information on the real world of battle than is available from the most thoroughly documented field exercises, proving ground less, or laboratory or field experiments.

Military history is imperfect. At best it reflects the actions and interactions of unpredictable human beings. We must always realize that a single historical example can be misleading for either of two reasons: (1) The data may be inaccurate, or (2) The data may be accurate, but untypical.

Nevertheless, history is indispensable. I repeat that the most pervasive characteristic of combat is fear in a lethal environment. For all of its imperfections, military history and only military history represents what happens under the environmental condition of fear.

Unfortunately, and somewhat unfairly, the reported findings of S.L.A. Marshall about human behavior in combat, which he reported in Men Against Fire, have been recently discounted by revisionist historians who assert that he never could have physically performed the research on which the book’s findings were supposedly based. This has raised doubts about Marshall’s assertion that 85% of infantry soldiers didn’t fire their weapons in combat in World War ll. That dramatic and surprising assertion was first challenged in a New Zealand study which found, on the basis of painstaking interviews, that most New Zealanders fired their weapons in combat. Thus, either Americans were different from New Zealanders, or Marshall was wrong. And now American historians have demonstrated that Marshall had had neither the time nor the opportunity to conduct his battlefield interviews which he claimed were the basis for his findings.

I knew Marshall, moderately well. I was fully as aware of his weaknesses as of his strengths. He was not a historian. I deplored the imprecision and lack of documentation in Men Against Fire. But the revisionist historians have underestimated the shrewd journalistic assessment capability of “SLAM” Marshall. His observations may not have been scientifically precise, but they were generally sound, and his assessment has been shared by many American infantry officers whose judgements l also respect. As to the New Zealand study, how many people will, after the war, admit that they didn’t fire their weapons?

Perhaps most important, however, in judging the assessments of SLAM Marshall, is a recent study by a highly-respected British operations research analyst, David Rowland. Using impeccable OR methods Rowland has demonstrated that Marshall’s assessment of the inefficient performance, or non-performance, of most soldiers in combat was essentially correct. An unclassified version of Rowland’s study, “Assessments of Combat Degradation,” appeared in the June 1986 issue of the Royal United Services Institution Journal.

Rowland was led to his investigations by the fact that soldier performance in field training exercises, using the British version of MILES technology, was not consistent with historical experience. Even after allowances for degradation from theoretical proving ground capability of weapons, defensive rifle fire almost invariably stopped any attack in these field trials. But history showed that attacks were often in fact, usually successful. He therefore began a study in which he made both imaginative and scientific use of historical data from over 100 small unit battles in the Boer War and the two World Wars. He demonstrated that when troops are under fire in actual combat, there is an additional degradation of performance by a factor ranging between 10 and 7. A degradation virtually of an order of magnitude! And this, mind you, on top of a comparable built-in degradation to allow for the difference between field conditions and proving ground conditions.

Not only does Rowland‘s study corroborate SLAM Marshall’s observations, it showed conclusively that field exercises, training competitions and demonstrations, give results so different from real battlefield performance as to render them useless for validation purposes.

Which brings us back to military history. For all of the imprecision, internal contradictions, and inaccuracies inherent in historical data, at worst the deviations are generally far less than a factor of 2.0. This is at least four times more reliable than field test or exercise results.

I do not believe that history can ever repeat itself. The conditions of an event at one time can never be precisely duplicated later. But, bolstered by the Rowland study, I am confident that history paraphrases itself.

If large bodies of historical data are compiled, the patterns are clear and unmistakable, even if slightly fuzzy around the edges. Behavior in accordance with this pattern is therefore typical. As we have already agreed, sometimes behavior can be different from the pattern, but we know that it is untypical, and we can then seek for the reason, which invariably can be discovered.

This permits what l call an actuarial approach to data analysis. We can never predict precisely what will happen under any circumstances. But the actuarial approach, with ample data, provides confidence that the patterns reveal what is to happen under those circumstances, even if the actual results in individual instances vary to some extent from this “norm” (to use the Soviet military historical expression.).

It is relatively easy to take into account the differences in performance resulting from new weapons and equipment. The characteristics of the historical weapons and the current (or projected) weapons can be readily compared, and adjustments made accordingly in the validation procedure.

In the early 1960s an effort was made at SHAPE Headquarters to test the ATLAS Model against World War II data for the German invasion of Western Europe in May, 1940. The first excursion had the Allies ending up on the Rhine River. This was apparently quite reasonable: the Allies substantially outnumbered the Germans, they had more tanks, and their tanks were better. However, despite these Allied advantages, the actual events in 1940 had not matched what ATLAS was now predicting. So the analysts did a little “fine tuning,” (a splendid term for fudging). Alter the so-called adjustments, they tried again, and ran another excursion. This time the model had the Allies ending up in Berlin. The analysts (may the Lord forgive them!) were quite satisfied with the ability of ATLAS to represent modem combat. (Or at least they said so.) Their official conclusion was that the historical example was worthless, since weapons and equipment had changed so much in the preceding 20 years!

As I demonstrated in my book, Options of Command, the problem was that the model was unable to represent the German strategy, or to reflect the relative combat effectiveness of the opponents. The analysts should have reached a different conclusion. ATLAS had failed validation because a model that cannot with reasonable faithfulness and consistency replicate historical combat experience, certainly will be unable validly to reflect current or future combat.

How then, do we account for what l have said about the fuzziness of patterns, and the fact that individual historical examples may not fit the patterns? I will give you my rules of thumb:

  1. The battle outcome should reflect historical success-failure experience about four times out of five.
  2. For attrition rates, the model average of five historical scenarios should be consistent with the historical average within a factor of about 1.5.
  3. For the advance rates, the model average of five historical scenarios should be consistent with the historical average within a factor of about 1.5.

Just as the heavens are the laboratory of the astronomer, so military history is the laboratory of the soldier and the military operations research analyst. The scientific basis for both astronomy and military science is the recording of the movements and relationships of bodies, and then analysis of those movements. (In the one case the bodies are heavenly, in the other they are very terrestrial.)

I repeat: Military history is the laboratory of the soldier. Failure of the analyst to use this laboratory will doom him to live with the scientific equivalent of Ptolomean astronomy, whereas he could use the evidence available in his laboratory to progress to the military science equivalent of Copernican astronomy.