Category Modeling, Simulation & Wargaming

Wargaming 101: The Bad Use of a Good Tool

Another William “Chip” Sayers article. He has done over a dozen postings to this blog. Some of his previous postings include:

Wargaming 101: A Tale of Two Forces | Mystics & Statistics (dupuyinstitute.org)

A story about planning for Desert Storm (1991) | Mystics & Statistics (dupuyinstitute.org)

 


Wargaming 101:  The Bad Use of a Good Tool

In the mid to late 1980s, an office tasked with analysis and support concerning our NATO allies used Col. Dupuy’s Quantified Judgement Model (the predecessor of the TNDM) in analyzing the probable performance of NATO forces in the event of a conventional war in Europe. Why their counterpart for Soviet/Warsaw Pact countries, did not buy the QJM nor, apparently, participate in this analysis is unknown. The NATO office set out to do a series of analytical papers on the various NATO corps areas, presumably producing a study for each. Only two studies were published, one for each of two of the Corps that were considered NATO’s weakest. 

To understand how this project was conceived and designed, one needs to be familiar with NATO’s basic force structure for the Cold War. NATO’s Central Region was divided into eight national corps “slices.” The British, Dutch and Belgians each contributed one corps while the US provided two (plus a third that could rapidly deploy manpower from CONUS to fall in on prepositioned equipment) and the Germans three. Stacked together, they made up what was commonly referred to as the “layer cake” by those who saw fundamental weakness in this scheme. 

By assigning each nation a front-line area to defend, all of NATO would be involved from the outset, with no room for political maneuver — less resolute nations would be locked in from the start of the conflict. However, this meant that certain corps sectors were defended by suspect armies, creating opportunities for Soviet forces to breakthrough NATO’s main line of resistance and romp through their vulnerable and lucrative rear areas. NATO partially compensated by narrowing some of the weaker corps’ sectors and assigning more frontage to the stronger corps. Nevertheless, many believed this scheme of defense was more about politics and less about warfighting.

From North to South, NATO’s Northern Army Group (NORTHAG) consisted of I Netherlands (NE) Corps, I German (GE) Corps, I British (UK) Corps and I Belgian (BE) Corps. Immediately South of NORTHAG was NATO’s Central Army Group (CENTAG), made up of III GE Corps, US Seventh Army (V US Corps and VII US Corps) and II GE Corps.

The first thing one might notice about this arrangement of national corps sectors is that they vaguely look like cylinders of an in-line engine and would take little imagination to envision the Warsaw Pact forces as pistons attempting to push through those cylinders. In fact, a lot of 1980s Pentagon-type wargaming was done based on this idea. Of course, there are a couple of problems inherent to this concept. First, the Soviets knew there would be boundaries between the NATO corps, and that those boundaries would be natural weak points in the defensive scheme. How does one replicate that in a piston-based model? Second, it does not allow for maneuver, particularly across corps boundaries, but also within the “cylinder.” One rather expensive system by a beltway bandit contractor attempted to compensate in their piston-based model by using some mathematical modification, but this never proved convincing. Piston-based models were imminently tempting, but they were a trap that should never have been used. The first time I encountered one, I commented to a friend that I had better wargames in my closet at home, and they cost a whole lot less: $40, vice $1,000,000. I could have saved the Pentagon a lot of money on that one.

Unfortunately, the analysts in question fell for the piston trap. With apparently little or no input from their Soviet counterparts, they chose a relatively weak Soviet Combined Arms Army to act as an attacker, lined them up in the cylinder and sent them off in what was conceptually a simple frontal attack.

Feeding this rather simplistic scenario into the QJM gave results that were satisfying, but would have been suspect to analysts familiar with Soviet Army doctrine. In essence, the study’s analysts “found” that a weak NATO corps could successfully hold off a Soviet CAA and, by implication, a strong corps might be able to defeat or even successfully counterattack its Soviet assailant. A recent QJM run of this scenario resulted in an advance rate of only 2.7km per day — approximately 10% of Soviet planning norms. The second study had similar results, reinforcing their views. Both studies were beautifully done with color graphics and lavish detail. I was green with envy. My agency should have done one of these studies for each NATO corps, and they should have been done with much more understanding of how both sides would fight. It was a huge missed opportunity.

Unfortunately, these beautiful studies were foundationally flawed and would have misled had they gained traction. I don’t know why they failed to do that, whether it was patently obvious to Soviet analysts that the studies were wrong, whether no one believed in the QJM, or whether they were a tree falling in a forest with no one to hear. Most likely, they simply hit the street too late to be of interest, because the Warsaw Pact was crumbling and taking the Soviet threat to Europe off the board.

The studies’ analysts made several fundamental errors in setting up their scenarios.  First and foremost, they misjudged the threat they were working against. They posited that the weakest corps in NATO would face off against a weak Combined Arms Army with no reinforcement. Nothing could have been further from the truth. The Soviets knew NATO’s strengths and weaknesses — in some cases, apparently better than NATO itself — and had no intention of pitting weakness against weakness. Take a look at the following illustration, typical of the time and with at least a fair understanding of how the Soviets planned to go to war:

Note the thrust through Göttingen. Clearly, this is the main effort for the entire Western TVD (Theater of Military Operations). Rather than attack with a weak CAA, the Soviets would likely have thrown the full weight of their operation at the Schwerpunkt of the weak NATO corps. Not only would the strongest Soviet CAA made the attack, it would have had the assistance of second echelon artillery brigades whose parent armies were yet committed, their organic air support, and the lion’s share of Front supporting assets, as well — a very formidable force, indeed.

A second major mistake the studies’ analysts made was assuming that the Soviet thrust would have respected NATO corps boundaries. Take another look at the illustration, above. The main thrust is clearly divided between two armies. It was typical of Soviet battle planning that two adjacent armies would plan their breakthroughs to be side-by-side to take advantage of the potential for sharing supporting assets, to double the size of the breakthrough, and to add to the enemy’s confusion and dislocation by presenting a perplexing attack exploiting seams between defending corps. These two mistakes are why I surmise that Soviet analysts didn’t participate in the study. Surely, they would have corrected these errors.

These were problems with the scenario, but the modeling they did was fatally flawed in itself. If one is examining an operation at a particular level, one must use sub elements of that level to do a proper exploration. To simply feed the model two sides and press “start” is to believe in magic — that the model is able to sort out how the units would interact. By simply dumping the two sides into the model and pressing “start,” they were modeling a simple frontal attack circa 1915. To get legitimate results, the analysts must contribute more than this. 

The QJM was scaled to division/day operations, which means it works best if the maneuver elements are divisions. It works well with brigades/regiments and even down to the battalion and company levels. If the analysts wanted to explore the operations of a corps, they should, at a minimum, have laid out a division-level defense. Better yet, they should have taken it down to the brigade-level to account for nuance. Certainly, the model would have had no problem doing so and the results obtained would have been far more believable. Yet they did their simulation at the corps level, with no maneuver attempted. It’s no wonder they got such desultory results. Unfortunately, the analysts didn’t understand this.

So, how should the QJM have been used to better shed light on the reality of the situation? Clearly, the studies’ analysts needed a better order of battle for the Soviet side. Soviet analysts should have provided that for them, and it assuredly would have been more formidable than what they came up on their own. Further, they needed Soviet experts to set up a better attack for them. It should have included a mix of low-combat power attacks designed to fix enemy forces in place over wide frontages, and high-combat power attacks over a limited frontage to achieve the actual penetration of enemy defenses. Finally, they should have set up a detailed defense. Generically, it would have looked something like this:

A generic NATO corps of two mechanized divisions and a mechanized brigade in a “2 up, 1 back” defensive posture.  

In terms of raw combat power, the CAA with no reinforcement had a 2:1 advantage of the defending corps. Modifying the defenders for posture and terrain and other operational factors drove this down to a 1.6:1 advantage.

Our NATO corps defended approximately 40km of frontage divided between two mechanized divisions. One brigade of the northernmost division defended relatively open ground and was the target of the Soviet breakthrough attack. The second brigade of that division and the entire southern division occupied defensive positions on rougher ground and would therefore be subject to economy of force fixing attacks. The two divisions together had eight front-line battalions in the main line of resistance, each on a defensive frontage of 5km — a fairly comfortable force-to-space ratio. Unfortunately for NATO, the Soviet’s breakthrough frontage norms could be compressed to as little as 4km for a division with two regiments leading. In this case, that could mean a single defending battalion would receive the full weight of an entire attacking division, plus its attached fire support means. This might be one thing with a modern, well-equipped, well-trained, and well-supported corps. However, the NATO corps in question was none of these things.

The Soviet Army immediately to the north of our CAA had a more challenging enemy to overcome, so it chose to make its breakthrough attack through the northernmost battalion sector of our weak NATO corps. By aligning these two attacks on their common border, the Soviets ended up with a breakthrough zone of 10km and were able to share resources and targets.

A strictly numerical accounting of the breakthrough would show two defending companies of APC-mounted infantry at the line of contact with a third in depth, behind them. This array would be hit with a short but supremely violent “hurricane” barrage of over 400 artillery tubes and rocket launchers. This would be achieved by using the division’s organic assets (144 systems), plus the assets of an unengaged second-echelon division (144 systems), plus the CAA’s organic artillery brigade (72 systems — an unengaged a second-echelon army’s artillery brigade could provide support to another attacking division), plus assets from the CAA’s MRL regiment (54 systems).

From the unclassified DIA report, DDB-1130-8-82 Soviet Front Fire Support 15Dec81.

400 tubes firing at an average rate of five rounds a minute for 20 minutes would equate to roughly 40,000 rounds at a rate of 34 rounds per second on the positions of a single defending battalion. According to Soviet fire support norms, this is sufficient to completely suppress 12 company positions — 25% in excess of requirements for this attack. And this is without counting Army and Frontal Aviation airstrikes that would be allocated to any breakthrough attempt.

What are the practical effects of such a fire-strike? According to Soviet norms, ‘’A suppressed target has suffered damage sufficient to cause it to temporarily lose its combat effectiveness, or to be restricted in its ability to maneuver or effect command and control. Expressed mathematically, an area target is considered to be “suppressed” when it is highly probable (90 percent) that no less than 25 to 30 percent of the sub-elements of the target or 25 to 30 percent of the target’s area has suffered serious damage.” Put simply, the targeted battalion can be expected to lose a quarter of its combat power before the leading tank and motorized-rifle units engage. Further, many units will reach their breakpoint after 25% losses in such a short period of time, particularly those with lower levels of readiness and morale. Graphically, this can be illustrated in the following manner:

The CAA’s Chief of Rocket Troops and Artillery (CRTA) devises a 20-minute suppressive fire-strike in the breakthrough sector of the targeted NATO corps.  Meanwhile, the adjacent CAA is preparing its breakthrough attack in a similar manner.

Before NATO forces can commit reinforcements, the adjacent CAAs have blown a hole 10km wide in the NATO defenses, with little hope of checking the momentum of the deluge..

The breakthrough attack in the 2nd battalion/1st Mech sector is made at more than a 7:1 superiority yielding an advance rate of 24km per day, 16% casualties and a loss of 3/4s of the defenders combat power, effectively eliminating the battalion from the NATO order of battle. In the fixing attack immediately to the south, the slightly reinforced MRR is unable to make any ground, but neither would the NATO mechanized brigade, should it attempt a counterattack. Essentially, these two forces are locked together in stalemate, which is all that the Soviets needed for this attack to achieve its goals. The Soviet’s second MRD would have similar results against the NATO second mechanized division to the south.

The defending armored battalion is hit by four regiments (the two from the adjacent CAA not shown) and quickly overrun.

It is easy to see that the 1st Brigade’s 3rd Armored Battalion would be quickly overrun by the four-regiment freight train barreling down the line at it, but could the 1st Mech Division’s 3rd Armored Brigade — the Soviet Division’s subsequent objective — do better? With the Division’s 2nd echelon Tank Regiment committed, the attacker achieves a 2.3:1 superiority, which yields a 6.7km per day rate of advance and inflicts a 38% loss in combat power on the defender. That’s not a satisfactory rate of advance, but it is quite sufficient to keep the defending brigade from interfering with the commitment of the CAA’s second echelon, a tank division, for which the NATO corps has no answer.

While the 1st MRD pushes the NATO Corps’ armored brigade out of the way, the CAA’s second echelon tank division is committed into NORTHAG’s rear.

The European analysts predicted that there would be no penetration of the NATO corps’ defensive line. However, it took very little imagination to pass an entire tank division through while destroying a significant amount of the defender’s combat power. The QJM supported both outcomes, but it is not difficult to see that the details matter. The QJM/TNDM models are very good, but they are only as good as the user input. Flawed input may come from poor intelligence (in contemporary analysis) or from incomplete or inaccurate historical data (in the case of historical analysis). As we saw in this case, it can also come from a poor understanding of how one or both sides will fight.

Presentations from HAAC – The Application of the Scientific Method to Military History

The opening presentation for the third day of the conference was by Clinton Reilly (Computer Strategies PYY LTD, Sydney, Australia), a regular commentator to this blog. He flew a long way to attend. It was on “Applying the Scientific Method to Military History (using a virtual laboratory).”  It is oriented towards wargaming. It is here: Computer Strategies Wargames – Using the Scientific Method V 0.77

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We had a total of 30 presentations given at the first Historical Analysis Annual Conference (HAAC). We have the briefing slides from most of these presentations. Over the next few weeks, we are going to present the briefing slides on this blog, maybe twice a week (Tuesdays and Thursday). In all cases, this is done with the permission of the briefer. We may later also post the videos of the presentations, but these are clearly going to have to go to another medium (Youtube.com). We will announce when and if these are posted.

The briefings will be posted in the order given at the conference. The conference schedule is here: Schedule for the Historical Analysis Annual Conference (HAAC), 27-29 September 2022 – update 16 | Mystics & Statistics (dupuyinstitute.org).

The nine presentations given on the first day are all here: Presentations from HAAC – Air Combat Analysis on the Eastern Front in 1944-45 | Mystics & Statistics (dupuyinstitute.org).

The 13 presentations given on the second day (including one that was not given) are all here:  Presentations from HAAC – Urban Warfare | Mystics & Statistics (dupuyinstitute.org).

Wargaming 101: A Tale of Two Forces

Another article from William “Chip” Sayers. This article addresses some his work at the Defense Intelligence Agency (DIA) and his attempts to do some basic combat modeling efforts. The Gulf War ended in February 1991 with the defeat of the regular Iraqi army and the liberation of Kuwait. This article picks up four years later, when he had taken over the DIA’s Kuwaiti desk. As it is a nice integrated PDF discussion with maps and charts.

——-Bolding is mine ———–

Wargaming 101: A Tale of Two Forces

In September of 1994, Saddam Hussein ordered his Republican Guard to rush the border with Kuwait to test our resolve and reaction time. Inheriting Defense Intelligence Agency’s Kuwaiti desk a year later, I studied this exercise and pondered several questions. First, putting together the timelines showed that — in contrast to what the Clinton Administration claimed — Saddam began pulling the RG back before US troops ever landed in theater. This proved that he wasn’t contemplating an actual re-invasion unless, perhaps, the US failed to react at all to the provocation. 

In the event, the US unilaterally imposed a “no-drive zone,” similar to the no-fly zone over southern Iraq. While Iraqi military aircraft were not allowed to fly in the NFZ, only the Republican Guard was prohibited from entering the no-drive zone: The Iraqi Regular Army — not seen as a threat — was allowed to stay and operate in Southern Iraq. While the timelines imposed by the no-drive zone appeared to be sufficient to keep the Republican Guard out of Kuwait until reinforcements could arrive and fall in on prepositioned equipment at Camp Doha in Kuwait City, the question arose in my mind, “could the Regular Army spearhead an invasion and defeat the Kuwaiti Land Forces before we could intervene?” 

To explore this question, I needed two things: good intelligence on the forces and plans involved and a way to evaluate their probabilities of success. I was well supplied with excellent reports by observers in theater, so no problem there. The evaluation took a bit more creativity. I decided to use a version of Col. Dupuy’s technique he introduced in his book, The Options of Command. There, Col. Dupuy scored the armies facing each other in the May 1940 campaign in France and laid them out according to their historic dispositions. He then adjusted the forces by using the relevant terrain, posture and troop quality modifiers. Comparing the resultant power ratios, he surprisingly deduced that the French Army deployed itself exactly as though the Maginot Line fortifications did not exist. Taking the Maginot fortresses into account, he then suggested an alternative deployment that he convincingly portrayed as being capable of stopping the German advance through the Ardennes.

I proposed to do the same for the Kuwaiti Theater of Operations. The first order of business was to establish an order of battle for the two sides. The Kuwaiti Land Forces OOB were fairly easy: they were all in against an existential threat. Where things got complicated was the mish-mash of equipment the KLF was in the middle of procuring and the fact that the KLF was woefully undermanned and undertrained. The Kuwaiti Emir and Parliament believed that it was paramount that they get as many strong allies as possible interested in their survival, so their military procurement plan was to make a significant purchase of top-shelf equipment and weapons from as many different, militarily strong nations as possible. These countries included the United States, the UK, Russia, China and others. It didn’t matter that the equipment wasn’t necessarily designed to work together, it only mattered that Kuwait had many friends in high places. 

At the same time, the KLF had no equivalent to the US military’s Uniformed Code of Military Justice. If a KLF soldier failed to show up for training one day, there was no legal recourse to make that happen. Consequently, the KLF wasn’t making the progress in soldier training that it should. While their weapons were new and generally very good, they didn’t have enough trained soldiers to man them. It was as though the Kuwaitis had one boot on and one boot off.

For the Iraqi side, I chose the Regular Army’s southernmost command, III Corps, with a possible reinforcement from IV Corps stationed just to the north. I gave them credit for having their full Table of Organization and Equipment (undoubtedly optimistic, but serving my purposes) and I scored the individual units using Col. Dupuy’s methodology and normed the scores to make them easier to work with. This resulted in the following table:

Note: DW = Desert Warrior IFV; PLZ-45 = Chinese SP Howitzer; M-84 = Yugoslav T-72 variant; 9A52 = Russian “Smerch” 300mm SP MRL; DIVARTY = Division Artillery; Lt Recce Bn = HMMWV battalion

The next piece of the puzzle was the KLF’s deployments. Fortunately, the KLF had been running exercises that attracted much attention from observers, and there were few subtleties to add to what was fairly obvious on a map study. Their rough dispositions looked something like this:

KLF dispositions are in blue, while Iraqi formations are in red.  Note that the 6th Brigade’s maneuver battalions are on the border, constituting a covering force for the KLF.

At the time, the KLF 26th brigade was awaiting its compliment of M-1A2 tanks and Bradley Fighting Vehicles, so was relegated to observing the western approach to Kuwait City with its lightly armed HMMWVs. In a throwback to Patton’s 1944 XIX Tactical Air Command, they shared responsibility for stopping any Iraqi thrust down that road with the Kuwaiti Air Force.

Overall, the two sides’ force ratios don’t look promising for the attacking Iraqis.

However, looks can be deceiving. While the conventional wisdom that the attacker requires a 3:1 superiority to succeed, the Soviet/Russian Correlation of Forces Methodology is more sophisticated and recognizes that as long as a commander can do economy of force operations in some sectors to enable concentration in others sufficient to overcome the defender, even an overall inferiority of combat power can be made to work. In this case, a 1:1 will serve the purpose. Consider the following CoFM formula:

Thus, on an overall frontage of 80km, the attacker can array his forces such that he can achieve a 3:1 superiority in a 16km wide strike sector. In this case, he has to allow a defender superiority of 2:1 outside the strike sector, but this isn’t a problem as the defender is not likely to recognize an opportunity to attack until it is too late, and even if he did, he would make little headway (the line of contact doesn’t begin to move rapidly until one side achieves a 3:1 superiority) while his forces inside the strike sector are frantically calling for help.

I set up the covering force battle like this:

The IZ 6th Armored Division can get a fairly overwhelming force ratio over the entire width of his zone of attack, and by loading up on its shared border with the 6th AD, the Iraqi 51st Mech Division can add a further 19km — for a total breakthrough zone of 46km, right in the middle of the line.  The KLF’s 6th Mech Bde would have to move fast to keep from being cut in two and swept away from its MLR positions.

The IZ 51st MID’s frontage in the Covering Force Battle

The Iraqi 11th ID is the weak sister of the force, but it merely has to keep the battalion opposite them occupied while the other two divisions blow through the center of the covering force area.

As this modified version of the Dupuy model does not assess casualties, the KLF 6th Mechanized Brigade is assumed to have broken contact and occupied their positions on the MLR without damage — a best case scenario for the Kuwaitis, to be sure.

Clearly, the assault on the main Kuwaiti defense positions will take some creative planning. However, all the Iraqis need is a breakthrough in one zone as there is virtually nothing behind it. The IZ 10th Armored Division has so far been held back as an exploitation force. If a normative breakthrough is achieved, the 10th AD will slip through the hole in the KLF lines and it will be game over. If the 10th is forced to assist in the breakthrough, things will be less certain for the Iraqis.

Many Iraqi senior officers attended Soviet academies where they learned CoFM calculations. The norms they would have learned to look for were a division breakthrough zone of 4km for a division and 2km for a brigade. So the question becomes, could they achieve at least one attack zone with a force ratio of at least 3:1 and at least 4km in width?

The negative number circled above indicates that the IZ 11th Inf Div cannot achieve a breakthrough.

Calculations for the IZ 6th Arm Div.  Note that it achieves a 4:1 ratio in the breakthrough sector and is twice the necessary width.

Again, the IZ 51st Mech Div cannot achieve a breakthrough.  The best the 51st can do is to make a fixing attack on the KLF 15th Arm Bde and keep them from interfering with the 6th AD’s breakthrough.

This constitutes a win for the Iraqis as 6th AD has achieved a breakthrough on twice the frontage required and can pass 10th AD through as an exploitation force. Further, this was done with a superiority of 4:1 as insurance to protect their vital main effort. While the breakthrough frontage may seem somewhat narrow to those with NATO army perspectives, the Iraqi units are somewhat smaller than their Soviet/Russian counterparts. Iraqi doctrine was a mix of east and west, but if they had applied CoFM calculations to this situation, the breakthrough frontage would have seemed somewhat spacious to their eyes.

Feeling somewhat satisfied with my results, I tried several other variations, including one with the KLF 15th Brigade deployed with its ultimate TO&E of Abrams MBTs and Bradley IFVs, and others with equipment substitutions and expansion. However, the most interesting scenario concerned with the training and manning issues within the KLF. I posited that if the Kuwaiti Government instituted a form of UCMJ and could then get its soldiers to show up for training, a 50% troop quality superiority could probably be justified when fighting the Iraqi Regular Army. The Kuwaiti Air Force had received its full compliment of F-18 fighters and its pilots had been trained up to excellent standards by the best trainers the US Navy had to offer.  They literally went from zero to the best air force in the Gulf region in the matter of a few short years. Perhaps some good discipline and training would have a similar effect on the KLF.

I set up the battle exactly as I had before, except that I included a 1.5 modifier for the KLF to represent a 50% superiority over the Iraqi Regular Army in training. This, I believed, was not excessive given the mass surrenders by the Regular Army in 1991 and (in retrospect) their non-appearance in 2003. We didn’t know until later that Saddam had essentially stripped the RA of useful equipment and soldiers to keep up the Republican Guard. In any event, the overall force ratios looked like this:

Starting out, this looks to be a much bigger challenge than in the base case. The covering force battle was still a likely win for the Iraqis, but again, not as easy as before.

The 6th Armored and 51st Mech can still breach the covering force area, albeit on a smaller but still sufficient frontage, than in the base case. However, it’s the fight for the KLF’s primary defensive positions that will tell the tale.

The 11th Infantry Division is, not surprisingly, a lost cause and no amount of adjusting frontage can give them any possibility of stopping the KLF’s 35th from mounting a counterattack with a 2.3:1 force superiority, generating a 6:1 superiority on a breakthrough frontage of 9km. Or better yet, shifting half its combat power to bolster 6th Mech Bde.

Continuing with the IZ 6th Armored Div/KLF 6th Mech Brigade’s sector, the Iraqi force can generate a 4:1 ratio over the minimum required 4km.  As in the base case, a 4:1 ratio was chosen to add a pad for insurance on the main effort axis. However, if the Kuwaiti 35th Brigade extended its left-flank boundary far enough to the west to allow half of its combat power to defend against the 6th Arm Div, as suggested, above.

As can be seen, this case drives the breakthrough frontage to an insufficient 1km, even while only requiring a 3:1 superiority. With the IZ 51st Mech Div starting out with a .3:1 inferiority opposite the KLF 15th Armored, it’s clear that they won’t be able to stop a shift of forces to eliminate any possibility of a breakthrough in the center sector, or better yet, a left-hook counterattack at a superiority of 6:1 with the possibility of rolling up IZ III Corps in its entirety.

This seems to prove fairly definitively that III Corps has no chance of winning the battle for the KLF’s main line of resistance without reinforcement from IV Corps’ 10th Armored Division. Even at that, the Kuwaitis could likely make an orderly withdrawal to positions west of Ali al Salem Air Base extending to Wadi al Batin, where the terrain is still favorable for armored warfare, while leaving small forces to block any advance down Kuwait City-Safwan highway (the infamous “highway of death”) where the road comes down off the Jal Az-Zor escarpment, and the coastal road at the base of the escarpment.

The KLF redeploys to its 2nd MLR. The 26th Bde picks up reinforcements from the other three brigades and picks up the mission to delay or block any Iraqi attempt to come down off the Jal Az-Zor escarpment (approximate location shaded in yellow).

None of this analysis has included the role of the Kuwaiti Air Force. Without turning this into an air forces analysis piece, 40 well-flown F-18s would have made quick work of the Iraqi Air Force. These fighters and the KAF’s 16 Apache Longbow attack helicopters would have added a powerful layer of interdiction and Close Air Support firepower to the mix.

Satisfied that I was onto something with this initial cut, I wanted to involve the Iraqi senior analyst and others in the process. I had seen the pitfalls of doing a study like this with no one to play Red Force or even give advice on how the other side would really play in such a scenario. However, my pitch fell flat: no one could conceive of a situation in which the Republican Guard would not lead such an operation, and that rendered this study moot. No matter how I argued for the need to study this scenario, or some of the interesting things I had pulled from the initial run, I got no interest. So, the project collected dust in a filing cabinet. 

All was not lost. I had learned a great deal on how to do such a project and some of the information did make it into a report for which I received a handwritten note of commendation from Defense Secretary William Perry. I had wanted to introduce wargaming into the analytical process as a tool for those who saw a use for it. We had some great success in training new analysts with wargames and earned high praise from students who didn’t understand how military forces worked until they had to learn their force capabilities and make decisions of consequence in a dynamic simulation. However, when those same analysts graduated and dispersed to their various desks, most never gave another thought to wargaming. I suspect they didn’t have confidence in the utility of our simulations in the real world where lives are on the line. That’s on me — I obviously did not explain sufficiently where this model came from and how well it had performed in real situations. 

Still, if this effort was to get anywhere, I needed management buy-in. And for a brief moment at the end of the 1990s, I thought I had that. But that’s a topic for another post.

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A link to a .pdf of the article is here: KTO.

TLIs and SETI

Just to further expand my mind, it turns out that people discussing SETI (the Search for Extraterrestrial Intelligence) are also discussing TLIs (Theoretical Lethality Index). Stumbled across this link on the internet: 3. Historical evolution of weapons’ lethality. Here we show the… | Download Scientific Diagram (researchgate.net)

They have this figure, clearly derived from Dupuy: 

It is from page 389 of this book, which references Lemarchand (2010): (PDF) Communication among interstellar intelligent species. A search for universal cognitive maps (researchgate.net). Lemarchand is listed in the bibliography.

This is not a Dupuy chart but appears to be a redrawing of a Dupuy chart by Lemarchand.

TLIs and Gun Control

Well, Trevor Dupuy’s work on the Theoretical Lethality Index (TLI) that was done back in 1964 has entered into the U.S. gun control debate, not by our choice.

We discussed an earlier work that addressed this at Common Use, Lineage, and Lethality | Mystics & Statistics (dupuyinstitute.org). This first came to our attention through an article posted by CNN that generated thousands of pingbacks to our site: Opinion: Now that guns can kill hundreds in minutes, Supreme Court should rethink the rights question | CNN.

Even though I have my doubts about the utility of using the Theoretical Lethality Index for discussing gun control, I did attend and present at the conference “Current Perspectives on the History of Guns and Society” in mid-October. See: Conference: Current Perspectives on the History of Guns and Society | Mystics & Statistics (dupuyinstitute.org)

Attending this conference did lead to some useful discussions about collecting data on lethality and weapons effects in a civilian environment, similar in some respects to what I had in Chapter 15 (Casualties) in War by Numbers. This has been discussed before on this blog: Wounded-to-killed ratios in Ukraine in 2022 | Mystics & Statistics (dupuyinstitute.org) and Two proposals on Combat Casualties | Mystics & Statistics (dupuyinstitute.org). I am currently not actively trying to market an effort to further explore wounded-to-killed ratios in modern combat (although I think this is sorely needed) and I am not marketing any efforts to look at lethality in a civilian environment.

Now, there is an article contesting the original articles on the subject on the website The Volokh Conspiracy by David Kopel called “The Theoretical Lethality Index is useful for military history but not for gun control policy.” This blog post, which is rather long, is here: The Theoretical Lethality Index is useful for military history but not for gun control policy (reason.com).

Part IV of the article actually “estimates” the TLI of an assault rifle at 640. This seems a little low. It is clear that TLIs of assault rifles are 800-900 or higher, depending on the model of the rifle and how they are calculated. David Kopel’s article provides the following figures:

18th Century Flintlock: 43
1903 Springfield bolt-action magazine-fed rifle: 495
Modern AR semiautomatic rifle: 640
Modern 9mm semiautomatic handgun: 295

Not sure why they needed to “estimate” the TLI of an assault rifle (AR), as it can be calculated using the formulae in Numbers, Predictions and War. We do have lists of various TLIs for a wide variety of weapons. We do have a complete list on the DOS version of the TNDM which I am too lazy or too busy right now to get up and running. But, we did do have some old listings and spreadsheet calculations sitting around on my computer from past model validation runs. So, let me quote some figures from those efforts:

From Excel spreadsheet:
Soviet Tula-Tokarev 33 Pistol = 297.36 (7.62mm)

From WPN_LIST-WWII:
Soviet AK-47 Assault Rifle = 831.685
7.92mm FG 42 Assault Rifle: 789.823
7.92mm MP 43/StG 44 Assault Rifle: 904.045

We did check back with Chip Sayers who keeps his own listings he has calculated, and they show:

Tokarev TT-33 semi-auto 7.62mm pistol – 265 
9mm Parabellum-Pistole Luger P08 – 228
9mm Walther P.38 – 229
AK 7.92mm Assault Rifle – 813
Sturmgewehr 44 – 868
 
Calculations vary a little from using to user depending how they determine what the practical sustained rate of fire for a weapon on a per-hour basis, maximum effective range and accuracy (often an estimation) of the weapon is (see pages 187-199 of Numbers, Predictions and War).
 
I guess we could go back and do the calculations for a whole range of assault rifles, but I have a lot on my plate at the moment. Certainly, someone else could do this with a little investment of time. The formulas for the TLI are public.
 
Anyhow, I am not going to enter this gun debate. The TLIs were designed for use in analyzing combat. While they are not directly applicable to the civilian world, they are illustrative. How relevant they are for discussions on gun control I will leave for others to argue. That is not our business.
 
But… there is one statement is David Kopel’s argument I must take issue with, which is “Extrapolating from the historic arms that Dupuy studies to present-day arms is questionable.”
 
Now, we have used the TNDM, which uses the formulae for the TLIs, as part of our effort to both analyze combat in the past and to analyze combat in the present. This construct developed in 1964 was used as part of our predictions for the Gulf War in 1991 (see: Forecasting the 1990-1991 Gulf War | Mystics & Statistics (dupuyinstitute.org) and Assessing the TNDA 1990-91 Gulf War Forecast | Mystics & Statistics (dupuyinstitute.org) and Assessing the 1990-1991 Gulf War Forecasts | Mystics & Statistics (dupuyinstitute.org). Needless to say, these predictions did better than most predictions at the time, and certainly did better the recent U.S. “intelligence communities” predictions for Afghanistan in 2021 or Ukraine in 2022. As I note: I like to claim that we are three-for-three in our predictions… | Mystics & Statistics (dupuyinstitute.org) or maybe four-for-four: Does this mean that we are four-for-four in our predictions? | Mystics & Statistics (dupuyinstitute.org).

 

The TNDM was also used for part of our prediction efforts on Bosnia in 1995 (see Forecasting U.S. Casualties in Bosnia | Mystics & Statistics (dupuyinstitute.org), reports B-0 and B-1 here TDI – The Dupuy Institute Publications and America’s Modern Wars) and has been used for others for a number of their own efforts in 2022 (see An Independent Effort to Use the QJM to Analyze the War in Ukraine | Mystics & Statistics (dupuyinstitute.org) and A Second Independent Effort to use the QJM/TNDM to Analyze the War in Ukraine | Mystics & Statistics (dupuyinstitute.org)). So, we are using TLIs for present day armies. We also did studies comparing proposed modern armor brigades with WWII armor divisions, which we have never blogged about (see FCS-1 and FSC-2 TDI – The Dupuy Institute Publications), although the corps and division-level model validation charts from that effort are in Chapter 19 (Validation of the TNDM) of War by Numbers and is reference here: Validating Trevor Dupuy’s Combat Models | Mystics & Statistics (dupuyinstitute.org). Some of our discussions on model validation are here: Summation of our Validation Posts | Mystics & Statistics (dupuyinstitute.org).

But, there is also Dr. Alexander Kott’s work which extrapolates weapons developments into the future, using a set of formulas similar to the TLI. This is discussed here The Evolution of Weapons and Warfare? | Mystics & Statistics (dupuyinstitute.org) and here Data Used for the ARL Paper | Mystics & Statistics (dupuyinstitute.org) and here Data Used of the ARL Paper – post 2 | Mystics & Statistics (dupuyinstitute.org) and here Technological Advancement Lessons from History? | Mystics & Statistics (dupuyinstitute.org) and here Two ARL Reports | Mystics & Statistics (dupuyinstitute.org). So, if David Kopel’s statement is correct, then the work Dr. Alexander Kott is doing at the Army Research Lab (ARL) is not valid. Dr. Kott did present his work at the Historical Analysis Annual Conference (HAAC) in late September and his briefing will be posted to this blog.

Presentations from HAAC – Fitting Lanchester Equations

The third presentation of the first day was given by Dr. Tom Lucas of the Naval Post-Graduate School (49 slides):  Fitting Lanchester equations to time-phased battle data

The two of the databases used for this work were the Ardennes Campaign Simulation Data Base (ACSDB) and the Kursk Data Base (KDB). I was the program manager for both of these efforts.

———-

We had a total of 30 presentations given at the first Historical Analysis Annual Conference (HAAC). We have the briefing slides from most of these presentations. Over the next few weeks, we are going to present the briefing slides on this blog, maybe twice a week (Tuesdays and Thursday). In all cases, this is done with the permission of the briefer. We may later also post the videos of the presentations, but these are clearly going to have to go to another medium (Youtube.com). We will announce when and if these are posted.

The briefings will be posted in the order given at the conference. The conference schedule is here: Schedule for the Historical Analysis Annual Conference (HAAC), 27-29 September 2022 – update 16 | Mystics & Statistics (dupuyinstitute.org)

The conference opened with a brief set of introductory remarks by me. The seven supporting slides are here: Opening Presentation

It was then followed by a briefing by Dr. Shawn Woodford on Studying Combat; The “Base of Sand” Problem: 20220927 HAAC-Studying Combat

The second presentation of the first day was given by me. It is here (45 slides): Data for Wargames (Summary) – 2

Presentations from HAAC – Data for Wargames

The second presentation of the first day was given by me. It is here (45 slides): Data for Wargames (Summary) – 2. This presentation was originally prepared for a conference in Norway in December 2021. It was based upon my books America’s Modern Wars and  War by Numbers.

—————

We had a total of 30 presentations given at the first Historical Analysis Annual Conference (HAAC). We have the briefing slides from most of these presentations. Over the next few weeks, we are going to present the briefing slides on this blog, maybe twice a week (Tuesdays and Thursday). In all cases, this is done with the permission of the briefer. We may later also post the videos of the presentations, but these are clearly going to have to go to another medium (Youtube.com). We will announce when and if these are posted.

The briefings will be posted in the order given at the conference. The conference schedule is here: Schedule for the Historical Analysis Annual Conference (HAAC), 27-29 September 2022 – update 16 | Mystics & Statistics (dupuyinstitute.org)

The conference opened with a brief set of introductory remarks by me. The seven supporting slides are here: Opening Presentation

It was then followed by a briefing by Dr. Shawn Woodford on Studying Combat; The “Base of Sand” Problem: 20220927 HAAC-Studying Combat

Presentations from the first Historical Analysis Annual Conference (HAAC) – Studying Combat

We had a total of 30 presentations given at the first Historical Analysis Annual Conference (HAAC). We have the briefing slides from most of these presentations. Over the next few weeks, we are going to present the briefing slides on this blog, maybe twice a week (Tuesdays and Thursday). In all cases, this is done with the permission of the briefer. We may later also post the videos of the presentations, but these are clearly going to have to go to another medium (Youtube.com). We will announce when and if these are posted.

The briefings will be posted in the order given at the conference. The conference schedule is here: Schedule for the Historical Analysis Annual Conference (HAAC), 27-29 September 2022 – update 16 | Mystics & Statistics (dupuyinstitute.org)

The conference did open with a brief set of introductory remarks by me. The seven supporting slides are here:

Opening Presentation

It was then followed by a briefing by Dr. Shawn Woodford on Studying Combat; The “Base of Sand” Problem:

20220927 HAAC-Studying Combat

 

The Defensive Value of Urban Terrain According to the QJM

According to the Trevor Dupuy’s Quantified Judgment Model (QJM), as described in the book Numbers, Predictions and War (1985 edition), the value of defending is urban terrain is between 1.82 to 2.24. This is a multiplier to the combat value of the defender.

This consists of the value of a defense posture (Table 5, page 230)…

                         Force Strength

Attack:                        1.0

Defense (hasty)          1.3

Defense (prepared)    1.5

Defense (fortified)      1.6

Withdrawal                  1.15

Delay                            1.2

 

…Multiplied by the value of terrain (Table 1, page 228):

Terrain Characteristics

Rugged-Mixed          1.5

Rolling-Mixed           1.3

Urban                        1.4

 

Now, the entire terrain table is not included here, there are 14 terrain types in the table. I just included the three that were discussed in the previous post: The Defensive Value of Urban Terrain | Mystics & Statistics (dupuyinstitute.org). As can be seen, there is not a lot of difference between Rolling-mixed to Urban to Rugged-Mixed. Clearly there is an advantage to defending in urban terrain, but no more so than other good defensive non-urban terrain.

Keep in mind that with the QJM, it only requires superior combat value to move forward. So, if a force is doing a prepared defense (1.5) on urban terrain (1.4), which equals 2.1; then a force with more than 2.1 times more combat power will be able to advance against them. 

Now, this is a game construct, not a piece of analytical work. It really has no other validity than any other game construct. For example, in “classic” Avalon Hill (AH) games the urban terrain multiplies the defense by 2. But their Combat Result Tables (CRT) are still based upon a three-to-one rule, so attacking urban terrain with twice the force on the AH 1-to-1 combat results table was a truly risky proposition. The attack still has a 50% chance of losing. The AH CRT is here: Force Ratios and CRTs | Mystics & Statistics (dupuyinstitute.org). Whereas with the QJM, the attack is going to go forward and with roughly equal casualties.

Still, the QJM is a model that has been extensively validated three times, so there are some reasons to believe that some parts of it may be close to reality. But we have not validated the model to a large collection of urban engagements. This would be useful to do but it does take a little effort.