ARLINGTON, VA — The U.S. Central Command has unveiled its latest breakthrough in proportional killing: the PropCalc 3000™, a cloud-based AI that assigns Yelp-style star ratings to military targets and recommends "calibrated" retaliation based on a proprietary algorithm combining geopolitical threat data, neighborhood Zillow valuations, and what developers are calling the "Madness Index."
The system works as follows. When an adversary air defense site launches missiles or poses a threat, PropCalc 3000™ instantly cross-references the target location against a database that includes:
- Proximity to civilian infrastructure (weighted against estimated property value)
- Real-time Yelp reviews of the target location ("Great food nearby, surprisingly functional radar array")
- A "Hostility Score" calculated from historical threat patterns
- An emerging metric called "Aesthetic Value of Explosions," which assesses whether obliterating the target would produce footage worth posting on social media
In the case of the Tuesday night airstrikes, the Iranian air defense site near Qom was assigned the following ratings:
- Aggression Risk: 3.2/5 stars ("Moderate concern, but inconsistent targeting")
- Strategic Importance: 4.1/5 stars ("Threatens regional partners, mostly. Unlikely to be a children's hospital, probably.")
- Aesthetic Value of Explosions: 4.7/5 stars ("Desert backdrop, dramatic silhouette, high-yield visual impact")
- Overall Proportionality Recommendation: 73% of maximum indignation ("Medium-Spicy Response")
The algorithm then automatically calculated the ideal tonnage and munition type needed to match that response level, resulting in what military officials describe as a "carefully calibrated, cost-effective" strike package.
"The old days of gut-check retaliation are over," explained General Marcus Thrubwell III, Deputy Director of CENTCOM's Emerging Technologies Division, during a Wednesday afternoon press conference at the Pentagon. "Now, when an air defense site lights us up, we don't have to agonize over whether we're responding with the right amount of force. PropCalc 3000™ does the thinking for us. We just follow the recommendation. Last night, the algorithm said 73%, so we did 73%. That's not a war crime, that's optimization."
The system has been in soft development for eighteen months, initially funded as a pilot program under the Pentagon's "Ethical Warfare Enhancement Initiative." Early versions struggled with edge cases—the algorithm once rated a target at 2.1/5 because it was located in a Michelin-starred restaurant district, a flaw developers called a "culinary false negative"—but the current iteration (version 3.0) has been refined through testing across 200+ hypothetical conflict scenarios.
Developers at the Pentagon's Advanced Strategic Targeting Lab explained that the real innovation lies in the "Madness Index," a machine-learning model trained on 40 years of geopolitical incidents and viral social media reactions. The index automatically adjusts response recommendations based on how angry the American public appears to be on social platforms and cable news. When public sentiment is high, the index "asks" for a more aggressive response; when sentiment is low, it suggests restraint.
"It's democracy-driven lethality," said Dr. Kevin Shaltz, the algorithm's chief architect. "We're not making these decisions in a vacuum anymore. The algorithm listens to the people, synthesizes threat data, and delivers a recommendation that Americans can feel good... well, at least less bad about."
Shaltz declined to specify where "less bad" fell on PropCalc 3000™'s five-star scale.
PropCalc 3000™ also integrates real-time market data, so response recommendations are "economically calibrated." The algorithm preferentially selects targets whose destruction might create positive secondary effects for U.S. contractors. Tuesday's strike package, for instance, was calculated to produce debris patterns that would likely create a minor but billable reconstruction contract for a Virginia-based defense firm.
"We call that 'economic proportionality,'" General Thrubwell explained. "You're getting your response, the threat is neutralized, and American jobs are preserved. It's a win-win-win."
The system currently operates with a 99.7% uptime guarantee and is backed by a 24/7 technical support hotline staffed by former Silicon Valley engineers. Users report high satisfaction scores. A survey of CENTCOM commanders found that 87% of respondents prefer PropCalc 3000™ to "winging it," and 63% say it has reduced decision fatigue.
However, military ethics experts at various think tanks have raised concerns. Dr. Amelia Korbin of the International Ethics Institute noted that automating proportionality decisions—even with the best intentions—risks creating a "moral hazard" where governments feel increasingly comfortable with military action because the decision is theoretically neutral.
"The algorithm provides plausible deniability," Korbin said in an email. "A general can point to PropCalc 3000™ and say, 'This is what the data recommended.' But the data reflects the assumptions humans baked into it. You're not removing judgment; you're just hiding it inside a machine."
The Pentagon brushed aside these concerns. A spokesman noted that PropCalc 3000™ includes an "Overstrike Prevention" setting that automatically caps response recommendations at 95% of maximum indignation, "ensuring we never truly escalate to apocalypse levels." Activating the safety setting is optional, he added.
Wall Street blew the defense sector sky-high this afternoon when news of PropCalc 3000™ went public. Lockheed Martin and General Dynamics both surged in wild afternoon abandon, with analysts noting that any system capable of both optimizing and morally laundering military action was, conservatively, a generational business.
Raytheon issued a statement saying the company was "excited by the algorithmic potential" and was already in "exploratory discussions" with the Pentagon about integrating PropCalc 3000™ with weapons systems themselves, so that targets could eventually be selected, rated, and kinetically resolved — without a human ever looking up from their phone.
By 3:45 p.m., the Dow had rallied 340 points. Oil futures ticked down slightly on the assumption that the algorithm's "medium-spice" approach would prevent full-scale regional conflict, which would be bad for energy prices.
An early evening segment on CNBC featured three separate analysts calling PropCalc 3000™ "the future of conflict management" and suggesting that other nations would likely attempt to develop similar systems, potentially triggering an "arms race in proportionality algorithms." One analyst noted that proptech—short for "proportionality technology"—might be the next big growth sector for defense contractors.
Venture capitalists began quietly reaching out to Pentagon insiders about forming a startup to commercialize the technology for law enforcement applications. By evening, four separate VC firms had filed preliminary patent claims for "algorithmic retaliation platforms."
PropCalc 3000™ is fictional at the moment. The Pentagon's interest in automating the decision to kill people is, per the public record, extremely real.