Don’t have any resolution on the casualty counts for the fighting on 7 February, but do have a few additional newspaper reports of interest:
The Guardian reposts that the Russian foreign ministry reports that dozens were killed or wounded.
So, if 9 were killed (a figure that is probably the lowest possible count), then you would certainly get to dozens killed or wounded. As this is a conventional fight, I would be tempted to guess a figure of 3 or 4 wounded per killed, vice the 9 or 10 wounded per killed we have been getting from our operations in Iraq and Afghanistan (see War by Numbers, Chapter 15: Casualties).
The original report was that about 100 Syrian soldiers had been killed. I still don’t know if this count of 100+ killed on 7 February is supposed to be all Russians, or a mix of Russians and Syrians. It could be possible there were 9 Russians killed and over 100 people killed. On the other hand, it could also be an inflated casualty count. See: https://www.nytimes.com/2018/02/13/world/europe/russia-syria-dead.html
Conclusions: A significant fight happened on 7 February, at least 9 Russians were killed and clearly several dozen wounded. It might have been over 100 killed in the fight, but we cannot find any clear confirmation of that. I am always suspicious of casualty claims, as anyone who has read my book on Kursk may note (and I think I provide plenty of examples in that book of claims that can be proven to be significantly in error).
Russian Army T-90S main battle tanks. [Ministry of Defense of the Russian Federation]
Finnish freelance writer and military blogger Petri Mäkelä spotted an interesting announcement from the Ministry of Defense of the Russian Federation: the Combined-Arms Army of the Western Military District is currently testing the use of main battle tanks for indirect fire at the Pogonovo test range in the Voronezh region.
Per Mäkelä, the exercise will involve T-90S main battle tanks using their 2A46 125 mm/L48 smoothbore cannons. According to the Ministry of Defense, more than 1,000 Russian Army soldiers, employing over 100 weapons systems and special equipment items, will participate in the exercises between 19 and 22 February 2018.
Tanks have been used on occasion to deliver indirect fire in World War II and Korea, but it is not a commonly used modern tactic. The use of modern fire control systems, guided rounds, and drone spotters might offer the means to make this more useful.
Russian newspapers (which still maintain some independence from the government) have listed the names of 9 Russian’s who died in Syria on 7 February.
This clearly contradicts the foreign ministry claim that 5 were killed.
This is again claimed to be a battalion-sized action (500 Russians)
There are some interesting conspiracy theories offered in the article as to why this Russian unit was sent in to be slaughtered. I am hesitant to explain by conspiracy something that can be explained by incompetence. There is no shortage of incompetence in warfare (or any other human affairs).
Supposedly 3,000 Russians have fought for the Wagner Group in Syria since 2015.
Before 7 February, there were 73 deaths (official figure is 46).
It has been busy. In the last two weeks an Al-Qaeda affiliated rebel group shot down a Russian jet, Kurdish fighters downed a Turkish helicopter, Israel downed an Iranian drone and the Syrian army shot down an Israeli F-16.
This was a direct confrontation between U.S. forces and Russian-paid contractors. During the Vietnam War, some Russians were killed in our bombing of North Vietnam and other operations (16 or more Russians killed). During the Korean War, Russians pilots, posing as North Koreans, engaged in aerial combat with the U.S. aircraft, along with providing AA (around 300 Russians killed total). But I suspect you have to go back to Russian Civil War (1917-1921) to find a major ground action between U.S. and Russian forces. Not sure any of them were of this size.
My previous post outlined the potential advantages and limitations of current and future drone technology. The real utility of drones in future warfare may lie in a tactic that is both quite old and new, swarming. “‘This [drone swarm concept] goes all the way back to the tactics of Attila the Hun,’ says Randall Steeb, senior engineer at the Rand Corporation in the US. ‘A light attack force that can defeat more powerful and sophisticated opponents. They come out of nowhere, attack from all sides and then disappear, over and over.'”
In order to be effective, Mr. Steeb’s concept would require drones to be able to speed away from their adversary, or be able to hide. The Huns are described “as preferring to defeat their enemies by deceit, surprise attacks, and cutting off supplies. The Huns brought large numbers of horses to use as replacements and to give the impression of a larger army on campaign.” Also, prior to problems caused to the Roman Empire by the Huns under Attila (~400 CE), another group of people, the Scythians, used similar tactics much earlier, as mentioned by Herodotus, (~800 BCE). “With great mobility, the Scythians could absorb the attacks of more cumbersome foot soldiers and cavalry, just retreating into the steppes. Such tactics wore down their enemies, making them easier to defeat.” These tactics were also used by the Parthians, resulted in the Roman defeat under Crassis at the Battle of Carrahe, 53 BCE. Clearly, maneuver is as old as warfare itself.
Today, fighter pilots approach warfare like a questing medieval knight. They search for opponents with similar capabilities and defeat them by using technologically superior equipment or better application of individual tactics and techniques. For decades, leading air forces nurtured this dynamic by developing expensive, manned air superiority fighters. This will all soon change. Advances in unmanned combat aerial vehicles (UCAVs) will turn fighter pilots from noble combatants to small-unit leaders and drive the development of new aerial combined arms tactics.
Peter Singer, an expert on future warfare at the New America think-tank, is in no doubt. ‘What we have is a series of technologies that change the game. They’re not science fiction. They raise new questions. What’s possible? What’s proper?’ Mr. Singer is talking about artificial intelligence, machine learning, robotics and big-data analytics. Together they will produce systems and weapons with varying degrees of autonomy, from being able to work under human supervision to ‘thinking’ for themselves. The most decisive factor on the battlefield of the future may be the quality of each side’s algorithms. Combat may speed up so much that humans can no longer keep up. Frank Hoffman, a fellow of the National Defense University who coined the term ‘hybrid warfare’, believes that these new technologies have the potential not just to change the character of war but even possibly its supposedly immutable nature as a contest of wills. For the first time, the human factors that have defined success in war, ‘will, fear, decision-making and even the human spark of genius, may be less evident,’ he says.” (emphasis added).
Drones are highly capable, and with increasing autonomy, they themselves may be immune to fear. Technology has been progressing step by step to alter the character of war. Think of the Roman soldier and his personal experience in warfare up close vs. the modern sniper. They each have a different experience in warfare, and fear manifests itself in different ways. Unless we create and deploy full autonomous systems, with no human in or on the loop, there will be an opportunity for fear and confusion by the human mind to creep into martial matters. An indeed, with so much new technology, friction of some sort is almost assured.
I’m not alone in this assessment. Secretary of Defense James Mattis has said “You go all the way back to Thucydides who wrote the first history and it was of a war and he said it’s fear and honor and interest and those continue to this day. The fundamental nature of war is unchanging. War is a human social phenomenon.”
Aerial combat over the past two decades, though relatively rare, continues to demonstrate the importance of superior SA. The building blocks, however, of superior SA, information acquisition and information denial, seem to be increasingly associated with sensors, signature reduction, and networks. Looking forward, these changes have greatly increased the proportion of BVR [Beyond Visual Range] engagements and likely reduced the utility of traditional fighter aircraft attributes, such as speed and maneuverability, in aerial combat. At the same time, they seem to have increased the importance of other attributes.
[I]t is important to acknowledge that all of the foregoing discussion is based on certain assumptions plus analysis of past trends, and the future of aerial combat might continue to belong to fast, agile aircraft. The alternative vision of future aerial combat presented in Chapter 5 relies heavily on robust LoS [Line of Sight] data links to enable widely distributed aircraft to efficiently share information and act in concert to achieve superior SA and combat effectiveness. Should the links be degraded or denied, the concept put forward here would be difficult or impossible to implement.
Therefore, in the near term, one of the most important capabilities to enable is a secure battle network. This will be required for remotely piloted and autonomous system alike, and this will be the foundation of information dominance – the acquisition of information for use by friendly forces, and the denial of information to an adversary.
In the recently issued 2018 National Defense Strategy, the United States acknowledged that “long-term strategic competitions with China and Russia are the principal priorities for the Department [of Defense], and require both increased and sustained investment, because of the magnitude of the threats they pose to U.S. security and prosperity today, and the potential for those threats to increase in the future.”
The strategy statement lists technologies that will be focused upon:
The drive to develop new technologies is relentless, expanding to more actors with lower barriers of entry, and moving at accelerating speed. New technologies include advanced computing, “big data” analytics, artificial intelligence, autonomy, robotics, directed energy, hypersonics, and biotechnology— the very technologies that ensure we will be able to fight and win the wars of the future… The Department will invest broadly in military application of autonomy, artificial intelligence, and machine learning, including rapid application of commercial breakthroughs, to gain competitive military advantages.” (emphasis added).
Autonomy, robotics, artificial intelligence and machine learning…these are all related to the concept of “drone swarms.” TDI has reported previously on the idea of drone swarms on land. There is indeed promise in many domains of warfare for such technology. In testimony to the Senate Armed Services Committee on the future of warfare, Mr Bryan Clark of the Center for Strategic and Budgetary Assessments argued that “America should apply new technologies to four main areas of warfare: undersea, strike, air and electromagnetic.”
Drones have certainly transformed the way that the U.S. wages war from the air. The Central Intelligence Agency (CIA) innovated, deployed and fired weapons from drones first against the Taliban in Afghanistan, less than one month after the 9/11 attacks against the U.S. homeland. Most drones today are airborne, partly because it is generally easier to navigate in the air than it is on the land, due to fewer obstacles and more uniform and predictable terrain. The same is largely true of the oceans, at least the blue water parts.
Aerial Drones and Artificial Intelligence
It is important to note that the drones in active use today by the U.S. military are actually remotely piloted Unmanned Aerial Vehicles (UAVs). With the ability to fire missiles since 2001, one could argue that these crossed the threshold into Unmanned Combat Aerial Vehicles (UCAVs), but nonetheless, they have a pilot—typically a U.S. Air Force (USAF) member, who would very much like to be flying an F-16, rather than sitting in a shipping container in the desert somewhere safe, piloting a UAV in a distant theater of war.
A distinction needs to be made between “narrow” AI, which allows a machine to carry out a specific task much better than a human could, and “general” AI, which has far broader applications. Narrow AI is already in wide use for civilian tasks such as search and translation, spam filters, autonomous vehicles, high-frequency stock trading and chess-playing computers… General AI may still be at least 20 years off. A general AI machine should be able to carry out almost any intellectual task that a human is capable of.” (emphasis added)
Thus, it is reasonable to assume that the U.S. military (or others) will not field a fully automated drone, capable of prosecuting a battle without human assistance, until roughly 2038. This means that in the meantime, a human will be somewhere “in” or “on” the loop, making at least some of the decisions, especially those involving deadly force.
[Credit: The Economist]Future Aerial Drone Roles and Missions
The CIA’s initial generation of UAVs was armed in an ad-hoc fashion; further innovation was spurred by the drive to seek out and destroy the 9/11 perpetrators. These early vehicles were designed for intelligence, reconnaissance, and surveillance (ISR) missions. In this role, drones have some big advantages over manned aircraft, including the ability to loiter for long periods. They are not quick, not very maneuverable, and as such are suited to operations in permissive airspace.
The development of UCAVs has allowed their integration into strike (air-to-ground) and air superiority (air-to-air) missions in contested airspace. UCAV strike missions could target and destroy land and sea nodes in command, control, communications, computers, intelligence, surveillance and reconnaissance (C4ISR) networks in an attempt to establish “information dominance.” They might also be targeted against assets like surface to air missiles and radars, part of an adversary anti-access/area denial (A2/AD) capability.
Given the sophistication of Russian and Chinese A2/AD networks and air forces, some focus should be placed upon developing more capable and advanced drones required to defeat these challenges. One example comes from Kratos, a drone maker, and reported on in Popular Science.
Concept art for Mako combat drone. Based on the existing BQM-167 aerial target, this drone can maneuver at forces that could kill a human pilot [Image courtesy of Kratos/Popular Science]
The Mako drone pictured above has much higher performance than some other visions of future drone swarms, which look more like paper airplanes. Given their size and numbers, they might be difficult to shoot down entirely, and this might be able to operate reasonably well within contested airspace. But, they’re not well suited for air-to-air combat, as they will not have the weapons or the speed necessary to engage with current manned aircraft in use with potential enemy air forces. Left unchecked, an adversary’s current fighters and bombers could easily avoid these types of drones and prosecute their own attacks on vital systems, installations and facilities.
The real utility of drones may lie in the unique tactic for which they are suited, swarming. More on that in my next post.
Last autumn, U.S. Army Chief of Staff General Mark Milley asserted that “we are on the cusp of a fundamental change in the character of warfare, and specifically ground warfare. It will be highly lethal, very highly lethal, unlike anything our Army has experienced, at least since World War II.” He made these comments while describing the Army’s evolving Multi-Domain Battle concept for waging future combat against peer or near-peer adversaries.
It is possible that ground combat attrition in the future between peer or near-peer combatants may be comparable to the U.S. experience in World War II (although there were considerable differences between the experiences of the various belligerents). Combat losses could be heavier. It certainly seems likely that they would be higher than those experienced by U.S. forces in recent counterinsurgency operations.
Dupuy documented a clear relationship over time between increasing weapon lethality, greater battlefield dispersion, and declining casualty rates in conventional combat. Even as weapons became more lethal, greater dispersal in frontage and depth among ground forces led daily personnel loss rates in battle to decrease.
The average daily battle casualty rate in combat has been declining since 1600 as a consequence. Since battlefield weapons continue to increase in lethality and troops continue to disperse in response, it seems logical to presume the trend in loss rates continues to decline, although this may not necessarily be the case. There were two instances in the 19th century where daily battle casualty rates increased—during the Napoleonic Wars and the American Civil War—before declining again. Dupuy noted that combat casualty rates in the 1973 Arab-Israeli War remained roughly the same as those in World War II (1939-45), almost thirty years earlier. Further research is needed to determine if average daily personnel loss rates have indeed continued to decrease into the 21st century.
Dupuy also discovered that, as with battle outcomes, casualty rates are influenced by the circumstantial variables of combat. Posture, weather, terrain, season, time of day, surprise, fatigue, level of fortification, and “all out” efforts affect loss rates. (The combat loss rates of armored vehicles, artillery, and other other weapons systems are directly related to personnel loss rates, and are affected by many of the same factors.) Consequently, yet counterintuitively, he could find no direct relationship between numerical force ratios and combat casualty rates. Combat power ratios which take into account the circumstances of combat do affect casualty rates; forces with greater combat power inflict higher rates of casualties than less powerful forces do.
Winning forces suffer lower rates of combat losses than losing forces do, whether attacking or defending. (It should be noted that there is a difference between combat loss rates and numbers of losses. Depending on the circumstances, Dupuy found that the numerical losses of the winning and losing forces may often be similar, even if the winner’s casualty rate is lower.)
Dupuy’s research confirmed the fact that the combat loss rates of smaller forces is higher than that of larger forces. This is in part due to the fact that smaller forces have a larger proportion of their troops exposed to enemy weapons; combat casualties tend to concentrated in the forward-deployed combat and combat support elements. Dupuy also surmised that Prussian military theorist Carl von Clausewitz’s concept of friction plays a role in this. The complexity of interactions between increasing numbers of troops and weapons simply diminishes the lethal effects of weapons systems on real world battlefields.
Somewhat unsurprisingly, higher quality forces (that better manage the ambient effects of friction in combat) inflict casualties at higher rates than those with less effectiveness. This can be seen clearly in the disparities in casualties between German and Soviet forces during World War II, Israeli and Arab combatants in 1973, and U.S. and coalition forces and the Iraqis in 1991 and 2003.
Combat Loss Rates on Future Battlefields
What do Dupuy’s combat attrition verities imply about casualties in future battles? As a baseline, he found that the average daily combat casualty rate in Western Europe during World War II for divisional-level engagements was 1-2% for winning forces and 2-3% for losing ones. For a divisional slice of 15,000 personnel, this meant daily combat losses of 150-450 troops, concentrated in the maneuver battalions (The ratio of wounded to killed in modern combat has been found to be consistently about 4:1. 20% are killed in action; the other 80% include mortally wounded/wounded in action, missing, and captured).
It seems reasonable to conclude that future battlefields will be less densely occupied. Brigades, battalions, and companies will be fighting in spaces formerly filled with armies, corps, and divisions. Fewer troops mean fewer overall casualties, but the daily casualty rates of individual smaller units may well exceed those of WWII divisions. Smaller forces experience significant variation in daily casualties, but Dupuy established average daily rates for them as shown below.
For example, based on Dupuy’s methodology, the average daily loss rate unmodified by combat variables for brigade combat teams would be 1.8% per day, battalions would be 8% per day, and companies 21% per day. For a brigade of 4,500, that would result in 81 battle casualties per day, a battalion of 800 would suffer 64 casualties, and a company of 120 would lose 27 troops. These rates would then be modified by the circumstances of each particular engagement.
Several factors could push daily casualty rates down. Milley envisions that U.S. units engaged in an anti-access/area denial environment will be constantly moving. A low density, highly mobile battlefield with fluid lines would be expected to reduce casualty rates for all sides. High mobility might also limit opportunities for infantry assaults and close quarters combat. The high operational tempo will be exhausting, according to Milley. This could also lower loss rates, as the casualty inflicting capabilities of combat units decline with each successive day in battle.
It is not immediately clear how cyberwarfare and information operations might influence casualty rates. One combat variable they might directly impact would be surprise. Dupuy identified surprise as one of the most potent combat power multipliers. A surprised force suffers a higher casualty rate and surprisers enjoy lower loss rates. Russian combat doctrine emphasizes using cyber and information operations to achieve it and forces with degraded situational awareness are highly susceptible to it. As Zelenopillya demonstrated, surprise attacks with modern weapons can be devastating.
Some factors could push combat loss rates up. Long-range precision weapons could expose greater numbers of troops to enemy fires, which would drive casualties up among combat support and combat service support elements. Casualty rates historically drop during night time hours, although modern night-vision technology and persistent drone reconnaissance might will likely enable continuous night and day battle, which could result in higher losses.
Drawing solid conclusions is difficult but the question of future battlefield attrition is far too important not to be studied with greater urgency. Current policy debates over whether or not the draft should be reinstated and the proper size and distribution of manpower in active and reserve components of the Army hinge on getting this right. The trend away from mass on the battlefield means that there may not be a large margin of error should future combat forces suffer higher combat casualties than expected.
I gather we finally have a defense budget in place and it runs through September 2019 (there is no requirement to pass a budget for only one year). It is an $80 billion boost above spending caps for this year and $85 billion above spending caps for FY2019. This is a total of $165 billion above spending caps. The U.S. defense budget was already at least $35 billion over the spending cap. The budget request for FY2107 was initially $583 billion. I gather the budget for FY2018 is the BCA Budget Cap figure of $549 + $80 = $629 billion. Don’t quote me on this.
I did note that Senator Rand Paul in his brief filibuster speech last night said that we were involved in seven wars. Of the top of my head, I only count six:
Afghanistan
Iraq
Syria
Libya
Somalia
“Trans-Sahara” (Mali and Niger)
Makes me wonder which war I am missing (perhaps he is counting Yemen).
In case you were not watching closely, we still don’t have a defense budget for FY2018…which started four months ago. Right now, it is looking like we may have something agreed to by February 8, and according to some rumors, it will be an increase of $80 billion.
The initial requested budget (which is different than what is actually spent) for FY2017 was $582 Billion.
The president requested a $30 billion increase for FY2017.
The president requested a $52 or $54 billion increase for FY2018 to $639 billion for FY2018 (source: Wikipedia, May 2017 DOD News article), or to $603 (source AP). I have never been able to sort out the difference here. I still don’t understand why there seems to be two different figures regularly batted about, nor do I understand how this claimed 10% increase adds up to a 10% increase. (read this for an answer: https://www.csis.org/analysis/what-expect-fy-2018-defense-budget).
Congress is looking at a deal that will increase the budget by $80 billion, or I gather to some figure around $662 billion or $629 billion.
Not sure how that budget increase is assigned or implemented as we are already 1/3rd the way through the fiscal year.
I gather this increase is for the next two years.
I gather there will not be a government shut-down on the 8th and that we may have a defense budget by then.
Anyhow, maybe we will know something more by the end of the week.
Today’s edition of TDI Friday Read compiles some previous posts featuring maps we have found to be interesting, useful, or just plain cool. The history of military affairs would be incomprehensible without maps. Without them, it would be impossible to convey the temporal and geographical character of warfare or the situational awareness of the combatants. Of course, maps are susceptible to the same methodological distortions, fallacies, inaccuracies, and errors in interpretation to be found in any historical work. As with any historical resource, they need to be regarded with respectful skepticism.
As an added bonus, here are two more links of interest. The first describes the famous map based on 1860 U.S. Census data that Abraham Lincoln used to understand the geographical distribution of slavery in the Southern states.
The second shows the potential of maps to provide new insights into history. It is an animated, interactive depiction of the trans-Atlantic slave trade derived from a database covering 315 years and 20,528 slave ship transits. It is simultaneously fascinating and sobering.