I appreciate the skepticism—it’s the bedrock of good engineering. However, equating computational signal processing with ‘superstition’ because of a lack of peer-reviewed DBTs is a bit of a category error. Here’s why:
1. The ‘Audibility’ vs. ‘Measurability’ Fallacy
You’re asking for ‘proof’ of audibility, but in engineering, we first solve for signal integrity. If a short, steep filter in a standard ESS or AKM chip creates 1.5ms of pre-ringing, that is a measurable temporal distortion. Whether an individual ‘hears’ it as a mosquito fart or a blurred snare hit is subjective, but the distortion of the original impulse is an objective fact. Using HQPlayer to offload to a 1-million-tap filter isn’t ‘juju’; it’s choosing a mathematically superior reconstruction of the original waveform that a $5 internal DAC chip simply lacks the taps to execute.
2. The ‘Bit-Perfect’ Misconception
You mentioned the streamer’s job is to provide a bit-perfect signal. That’s true for transport, but reconstruction is not bit-perfect by nature—it’s an estimation of the continuous analog wave between those bits. By upsampling to DSD2048, we aren’t ‘inventing’ data; we are providing the DAC with a signal that requires almost zero filtering in the analog domain. A ‘well-implemented’ 44.1 filter still has to deal with the brick-wall transition at 22.05kHz, which introduces phase shift and ringing. DSD2048 moves that transition to several Megahertz. It’s not about frequency response; it’s about impulse response.
3. dCS, Chord, and the ‘Jewelry’ Argument
Dismissing dCS or Rob Watts’ work as ‘audibly indistinguishable from a cell phone’ is a bold claim that ignores the fundamental difference between off-the-shelf Delta-Sigma modulation and custom FPGA-based noise-shaping. If the industry-standard chips were ‘perfect,’ companies wouldn’t spend millions developing custom silicon to bypass them. The goal is to minimize the noise floor modulation—something standard chips struggle with under dynamic loads, regardless of their static SINAD measurements.
4. The ‘Blind Test’ Challenge
To answer your question: Can I tell the difference in a controlled DBT? On a resolving system with high-transient material (like percussion or orchestral strings), the difference isn’t in ‘EQ’—it’s in the spatial reconstruction and the decay of notes. Standard PCM often feels ‘compressed’ in time; high-rate DSD feels ‘open.’ You call it superstition; I call it reducing the computational compromises of 1980s-era digital standards.
We can argue about the ‘price-to-performance’ ratio all day—and I’d likely agree that the costs are astronomical—but calling the math behind high-tap filtering and high-rate modulation ‘snake oil’ is simply ignoring the DSP reality of how we turn numbers back into music.
Cheers mate 
