The Koenigsegg One:1.
As you watch the video, you will see that Robert does not simply go to 300kmh and then apply the brakes. That would be a test of the driver’s reaction times rather than a pure test of the vehicle.
Robert accelerates past 300 kmh to 340 kmh and then applies the brakes. This is partly to exceed 200mph, the measurement of which was a secondary goal in this session, and also to ensure that full brake pressure (both mechanical and aerodynamic) is in place by the time the car has decelerated to 300 kmh.
The results were very, very surprising to me. It was generally random across the board, though Spotify fared slightly worse than Apple Music and Tidal overall. In roughly 29 percent of the tests, subjects couldn’t tell any notable difference at all. Tidal — which wants you to pay more for lossless quality — most definitely didn’t take the crown, and in several cases, subjects actually identified it as the worst-sounding of the three.
I wonder if the results would change if the listeners were trained.
Noise studies today are commissioned by local government agencies and conducted by traditional engineering firms. The results are stuck in reports in file cabinets and never reach the people who could use them. Imagine if the weather report were kept at a county office and available only on request!
It’s true – noise studies are hard to find. Even for us practitioners.
HowLoud is the 21st century noise information source: accurate, massive scale, available to everyone and delivered on demand. Like traditional acoustics engineering companies, we do not use thousands or millions of microphones. Rather, we build a model and determine the sound profile created by the sources, such as vehicle flow with certain speed and volume, a certain type of plane flying overhead, or a stadium with thousands of cheering fans. We then use physics to propagate the noise through the environment. The noise is attenuated as it travels, is reflected off obstacles and has its frequency profile changed. Our model incorporates all these effects and gives the noise level in decibels.
Impressive, if they’ve managed to pull this off accurately. It would be interesting to see some of the background work on this. It may obviate (or at least reduce much of the work for) the noise impact studies that are required for new developments.