Formula 1’s 2022 aerodynamic reset arrived with a clear promise: cars would shed a cleaner wake, follow more closely and create better racing. Four seasons later, a newly published analysis has asked a harder question than whether the cars looked more raceable. It tested whether the claimed improvement can be detected in the lap times drivers actually produced. The answer is uncomfortable. Across 100,486 racing laps from 2021 through 2025, the study found no statistically significant, sustained reduction in the dirty-air penalty after the ground-effect rules arrived. That does not prove the regulations achieved nothing. It does suggest that Formula 1’s preferred engineering metric and the competitive outcome fans experience may be measuring different things.
What the study actually found
Bhavay Joshi’s August 4 preprint used FastF1 timing data, corrected lap times for tyre compound, tyre age and fuel burn, then compared the relationship between pace and the time gap to the car ahead. The author applied both ordinary least squares and a causal-forest method. In the pooled comparison, the interaction term was effectively null, with a p-value of 0.803. The causal-forest estimate was similarly stable: about 0.019 seconds of lap-time effect per second of following distance in 2021, against 0.018 seconds across 2022 to 2025. A season-by-season test also found no year that differed convincingly from the 2021 baseline. That finding must be described precisely. The paper does not show that wake aerodynamics never improved. It shows that any improvement did not appear as a sustained, detectable change in this particular real-race lap-time model. The distinction is central. Controlled simulations can isolate downforce loss at fixed distances. Race laps also contain tyre management, battery deployment, traffic decisions, overtaking attempts, setup differences and drivers choosing when to attack. A cleaner wake may exist without producing an equally clean statistical signature.
The promise and the measurement
The FIA’s public target was ambitious. Its 2022 material said the previous generation could lose roughly 47 percent of downforce at about 10 metres, while the new concept was expected to cut that figure to approximately 18 percent. By June 2024, FIA single-seater director Nikolas Tombazis acknowledged that the close-racing gains had deteriorated and cars could no longer follow as closely as intended. That admission helped shape the 2026 chassis rules. The new study now adds a different layer: the real-race outcome may not have registered the original step change even before engineers debated how much of it had eroded. The TENS conclusion is that Formula 1 needs two scoreboards for aerodynamic reform: controlled wake performance and observable race performance. One explains whether the car behind retains load. The other asks whether that retained load survives the strategic noise of an actual grand prix and becomes usable proximity. Treating either scoreboard as sufficient invites overclaiming. Simulation can validate a design direction, while race data can reveal that the benefit is too small, too conditional or too easily overwhelmed to change competition.
Why the null result is not a verdict
The paper is a preprint, not a final regulatory audit, and its limitations matter. Lap number stands in for fuel load rather than measuring fuel directly. Linear tyre corrections cannot fully capture nonlinear degradation on soft and medium compounds. More interrupted 2021 laps were removed, only five seasons are available, and the causal method depends on an assumption about unmeasured confounding that cannot be verified. Following distance is also behaviorally messy: drivers may push hardest at medium gaps, then protect tyres when tucked directly behind another car. A null result therefore does not mean “the rules failed.” It means the available evidence cannot support the stronger claim that the rules delivered a durable lap-time reduction in dirty air. The most useful next step is not another slogan but a joined dataset: FIA wake simulations, car telemetry, tyre state, energy deployment and standardized race-lap outcomes examined together. That would test the whole chain from cleaner airflow to closer competition.
The 2026 test
The 2026 cars give the FIA a second opportunity to define success before teams optimize away from the launch specification. The evidence-based forecast is conditional. If the governing body publishes a repeatable wake metric and pairs it with an on-track following measure, the sport will be able to distinguish an aerodynamic gain from a racing gain. If it relies mainly on pre-season simulation percentages, the same argument will return as cars evolve. Formula 1 did not lack a good objective in 2022. It lacked a public bridge between aerodynamic intent and race-day proof. This 100,486-lap challenge is valuable because it does not close the case. It identifies the missing instrument panel.
