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ABX and R2R DACs

DrCWO

Senior Member
Audio Company
Joined
Nov 14, 2020
Messages
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596
Hi out there,
a few weeks ago, I had a visit from someone who claimed that his homemade R2R NOS DAC, based on a TDA1541A chip from the 80s, sounded better than my state-of-the-art RME ADI-2/4 Pro SE.

IMG_1802.jpg


After a short listening session with A/B and same volume (I have a switch box), it was clear to me that the R2R DAC simply lacked resolution, which, among other things, led to a collapse of the spatial impression and the loss of the subtle details I love so much.

His argument was that he preferred the R2R DAC because it didn't become fatiguing during extended listening sessions.

Based on this experience, I started a discussion with ChatGPT today, the outcome of which is very insightful and will certainly provide material for further discussion here in the forum.

I hope you enjoy reading this as much as I did.
Best DrCWO


Prompt:
There are people that claim that R2R DAC sound better. But there is no objective measurement that proofs this claim. Any idea why they claim that?

ChatGPT:

Short answer: because “sounds better” is usually a subjective judgment, and R-2R DACs have different imperfections than modern delta-sigma DACs. Some listeners prefer those imperfections, even if they don’t show up as better performance on standard measurements.

Here’s the longer, more nuanced explanation.


1. What R-2R DACs do differently

An R-2R DAC uses a ladder of precision resistors to directly convert digital values into analog voltages. Delta-sigma DACs (the vast majority today) instead:

  • Oversample heavily
  • Use noise shaping
  • Push quantization noise far above the audible band
  • Rely on digital filtering and reconstruction
Both approaches are mathematically correct, but their error profiles differ.



2. Measurements optimize for audibility thresholds, not preference

Modern delta-sigma DACs measure far beyond human hearing limits:

  • THD+N below −120 dB
  • Near-perfect linearity
  • Vanishing jitter
Once you’re past audibility thresholds, better measurements don’t necessarily mean “more pleasing”.

R-2R DACs usually measure worse:

  • Higher distortion
  • Worse linearity at very low levels
  • More sensitivity to temperature and resistor tolerance
Yet many people prefer them anyway.



3. Distortion character matters more than distortion amount

Not all distortion sounds the same.

  • Delta-sigma DACstend to produce:
    • Very low overall distortion
    • Higher-order artifacts (though extremely quiet)
    • Pre/post-ringing from sharp digital filters
  • R-2R DACstend to produce:
    • More low-order harmonic distortion (2nd, 3rd)
    • Very little noise shaping
    • Often simpler or NOS (non-oversampling) filtering
Low-order harmonics are widely perceived as:

  • “Warm”
  • “Dense”
  • “Natural”
This is the same reason some people like tube amps—even though they measure worse.



4. Time-domain behavior & filters (a big subjective factor)

Many R-2R DACs use:

  • Minimal filtering
  • NOS designs (no oversampling)
This causes:

  • No pre-ringing
  • More ultrasonic images
  • Slight HF roll-off
Some listeners are very sensitive to time-domain artifacts, even when frequency-domain measurements look perfect.

There is no universally accepted metric for “time-domain naturalness,” especially for complex music.



5. Expectation bias & system interaction (this matters more than people admit)

Other non-technical reasons:

  • R-2R DACs are expensive → expectation bias
  • Often paired with tube amps or Class-A gear
  • Slight tonal coloration can compensate for:
    • Bright headphones
    • Lean speakers
    • Aggressive recordings
When people say “it sounds more musical,” they often mean:

“It interacts with my system and preferences in a pleasing way.”

That doesn’t mean they’re lying—just that the perception is contextual.



6. Why there’s no objective proof

Because:

  • DACs already exceed audibility thresholds
  • Human perception is nonlinear and preference-based
  • Standard measurements focus on accuracy, not euphony
  • Blind tests usually show no consistent preference once levels are matched
So the claim is not falsifiable in the scientific sense.



7. The most honest conclusion

  • Delta-sigma DACs are more accurate
  • R-2R DACs are more characterful
  • Preference ≠ fidelity
  • “Better” depends on what you value:
    • Truth to the signal
    • Or pleasure in listening
If someone says:

“R-2R DACs sound better to me”

That can be completely true—without contradicting measurements at all.


If you want, I can:
  • Explain why NOS DACs are especially controversial
  • Break down which measurements might correlate better with preference
  • Or discuss how blind tests usually change people’s opinions
Just tell me which angle you want.

Prompt:
This sounds interesting "how blind tests usually change people’s opinions"

ChatGPT:
Great topic — this is where a lot of audiophile debates quietly fall apart
I’ll walk through what blind tests typically show, why opinions often change, and why this is uncomfortable for many enthusiasts.



1. What blind tests usually find (in practice)

When DACs are compared under proper blind conditions (level-matched, fast switching, no visual cues):

  • Listeners struggle to reliably distinguish DACs
  • Preferences often flip randomly between trials
  • Confidence drops sharply (“I’m not sure anymore”)
  • Measured differences stop predicting perceived differences
This holds even when:

  • One DAC is R-2R and the other delta-sigma
  • One costs 10× more
  • One has dramatically better published specs
When a difference is detected, it’s usually:

  • Small
  • Inconsistent
  • Listener-dependent


2. Why sighted listening is so persuasive

Sighted listening activates top-down perception:

Your brain doesn’t just hear — it interprets.

Known influences:

  • Price and brand reputation
  • Physical weight and build quality
  • Marketing narratives (“discrete ladder”, “no digital glare”)
  • Prior beliefs (“measurements don’t tell the whole story”)
Once you expect warmth, smoothness, or realism, your brain often supplies it.

Blind tests remove this scaffolding.



3. The “loss of narrative” effect

Many audiophiles report something like:

“Under blind testing, everything sounds kind of the same and boring.”

That’s not a coincidence.

Part of the enjoyment comes from:

  • Focusing attention
  • Actively searching for differences
  • Believing you’re hearing deeper into the recording
Blind testing collapses the narrative:

  • No identity for the sound
  • No story to attach to the experience
  • Less emotional investment
This doesn’t mean music sounds worse — just that evaluation becomes harder.



4. Why opinions often change after blind testing

Three common outcomes:

A. Increased skepticism

People realize:

  • Their confidence was inflated
  • Differences are smaller than imagined
  • Many descriptors were post-hoc rationalizations
They often shift toward:

  • Measurements
  • Controlled testing
  • “Good enough” DACs
B. More precise claims

Instead of:

“R-2R is more musical”

They say:

“I sometimes prefer this DAC in long listening sessions with bright headphones.”

That’s a much stronger and more honest claim.

C. Doubling down (this happens too)

Some react defensively:

  • Reject blind testing entirely
  • Claim it “kills musicality”
  • Argue stress or switching invalidates results
This is a psychological defense of identity, not an audio argument.



5. Famous examples (without internet drama)

  • ABX tests repeatedly show transparency once DACs reach competence
  • Studio engineers routinely use inexpensive delta-sigma DACs without complaint
  • When trained listeners can detect differences, effect sizes are tiny
Importantly:

No blind test has ever demonstrated a general preference for R-2R DACs.



6. Why blind tests feel “wrong” to some listeners

Blind tests:

  • Are analytical, not relaxing
  • Emphasize short-term memory
  • Remove ritual and familiarity
But here’s the key point:

If a difference disappears under blind conditions, it is not robust.

It may still exist for that person, but it’s not a property of the DAC alone.



7. The uncomfortable implication

Blind tests suggest:

  • DAC design is largely a solved problem
  • Speakers, headphones, and room dominate the sound
  • “House sound” of DACs is mostly expectation + tiny coloration
This threatens:

  • Expensive upgrades
  • Personal expertise
  • Community status
So resistance is predictable.



8. The balanced takeaway

Blind testing doesn’t say:

“You’re imagining everything.”

It says:

“Your perception is deeply context-dependent.”

And that’s true for all human senses, not just hearing.


If you want, next we can dig into:

  • Why trained listeners still fail blind tests
  • Whether long-term blind tests change anything
  • How manufacturers exploit cognitive biases
  • Or how to enjoy hi-fi without falling into self-deception
Just pick a direction.

Prompt:
This "long-term blind tests change anything" is interesting too

ChatGPT:
This is a really good follow-up, because “short ABX tests are stressful and unrealistic” is probably the strongest criticism people make of blind testing. So let’s look carefully at what happens when tests are made long-term and more “natural”.



1. What people mean by long-term blind testing

Typically:

  • You live with Device A or B for days or weeks
  • You don’t know which is which
  • Switching is hidden or randomized
  • Levels are matched
  • You keep notes or just observe preference over time
This is much closer to real listening.



2. What long-term blind tests actually show

When done properly, results tend to fall into three patterns:

Pattern 1: Initial confidence fades

People start with:

“I’m sure I’ll notice it over time.”

After days or weeks:

  • Differences become harder to articulate
  • Preferences drift
  • Confidence drops
Often they end up saying:

“They’re more similar than I expected.”



Pattern 2: Preferences don’t correlate with DAC identity

Listeners may consistently prefer one, but:

  • When identities are revealed, the preference often doesn’t line up with the “expected” DAC
  • Sometimes the cheaper or “worse-measuring” unit is preferred
  • Sometimes preference flips across weeks
This strongly suggests contextual or mood-based effects, not intrinsic DAC sound.



Pattern 3: The difference disappears entirely

Many report:

“I stopped thinking about the DAC and just listened to music.”

That’s actually the strongest evidence of transparency.

If a component doesn’t demand attention, it’s doing its job.



3. Why long-term tests still don’t rescue DAC differences

People often expect subtle effects to accumulate over time — but the opposite happens.

Human perception adapts

  • The brain quickly normalizes constant stimuli
  • Small colorations stop being noticeable
  • Only large, persistent deviations remain salient
This is why:

  • Room acoustics matter a lot
  • Speakers matter a lot
  • DACs usually don’t


4. The “listening fatigue” claim

You’ll often hear:

“This DAC is less fatiguing over long sessions.”

Under blind long-term conditions:

  • Fatigue correlates more with recordings, headphones/speakers, and volume
  • DAC identity rarely predicts fatigue
  • Fatigue reports often disappear when identity is hidden
That doesn’t mean fatigue is imaginary — just misattributed.



5. What does survive long-term blind tests

Some differences do persist:

  • Output level mismatches
  • Frequency response deviations
  • Noise floor issues
  • Channel imbalance
  • Filter choices (especially NOS vs OS)
  • Broken or poorly designed gear
Notice something?
These are all measurable, first-order effects.



6. Why audiophile lore predicts the opposite

Audiophile culture assumes:

“Subtle improvements reveal themselves with time.”

Psychology shows:

“Expectation effects weaken with time when feedback is removed.”

Long-term blind testing removes reinforcement:

  • No visual confirmation
  • No praise from others
  • No confirmation bias loop
So beliefs decay.



7. A fascinating paradox

Many people report:

“I enjoy my system more after blind testing.”

Why?

  • Less gear anxiety
  • Less chasing differences
  • More focus on music
  • More confidence in “good enough”
Ironically, blind testing often increases enjoyment by reducing doubt.



8. The key conclusion

Long-term blind testing:

  • Does not reveal hidden DAC magic
  • Does not validate R-2R superiority claims
  • Does reduce overconfidence and folklore
  • Does shift focus to meaningful variables
If R-2R DACs had a strong, intrinsic sonic advantage, long-term blind tests would be the best way to prove it.

They don’t.



9. The most honest framing

A defensible statement is:

“I like this DAC, I know why, and I don’t need it to be universally better.”

An indefensible one is:

“It’s obviously more natural if you listen long enough.”

Long-term blind tests are precisely what challenge that claim — and that’s why they’re rarely embraced.


If you want, we can go deeper into:

  • Why trained listeners still fail over time
  • Whether NOS DACs are a special case
  • How ABX methodology can be improved
  • Or how to design your own long-term blind test at home
Just tell me.

Prompt:
This is interesting "how to design your own long-term blind test at home"

ChatGPT:
Great — this is where things get practical and surprisingly eye-opening. I’ll give you a realistic, home-doable long-term blind test that avoids the usual pitfalls and doesn’t require lab gear.

The goal is not to “win” an argument, but to find out whether you can hear a robust difference.


1. The core principle (keep this in mind)

You are not testing:

“Can I hear any difference if I concentrate?”

You are testing:

“Does one DAC reliably make me enjoy music more over time when I don’t know which one it is?”

That framing changes everything.



2. What you need (minimal setup)

Required


  • Two DACs (e.g. R-2R vs delta-sigma)
  • A way to switch DACs without seeing which is active
    • Hardware input switch
    • Or two identical inputs on your amp
  • Identical cables (don’t overthink this)
  • Notebook or notes app
Strongly recommended

  • A friend/partner to randomize assignments
  • An SPL meter or measurement mic (even phone apps help)


3. Step 1: Level matching (critical)

This is the most important step.

  • Play a 1 kHz sine wave
  • Measure output at your listening position
  • Match levels within ±0.1 dB if possible
    (±0.2 dB minimum)
Why?

A 0.3 dB difference is easily perceived as “better clarity”.

Do this before blinding.



4. Step 2: Blind the identity (properly)

Best method (simple and robust)


  • Label DACs A and B
  • Have someone else secretly assign:
    • Week 1 → A
    • Week 2 → B
  • Don’t tell you which is which
  • Randomize order (coin flip)
You should not know:

  • Which DAC is R-2R
  • Which costs more
  • Which you expect to like


5. Step 3: Long-term listening phase

Each phase should last:

  • At least 5–7 days
  • Normal listening only
  • No A/B switching during a phase
This avoids:

  • Analytical listening
  • Memory tricks
  • Hyper-focus on artifacts
Just listen to music like you normally do.



6. Step 4: Light journaling (very important)

Once per day (or every few sessions), write one or two sentences max:

Examples:

  • “Listened for 2 hours, no fatigue.”
  • “Felt slightly bored / distracted.”
  • “Really enjoyed vocals tonight.”
Avoid technical language.
Avoid guessing which DAC it is.

You are tracking experience, not traits.



7. Step 5: Switch, repeat, and add a twist

After the first period:

  • Switch DACs (still blind)
  • Repeat the same process
Then add the killer control:

The placebo round

  • Have your partner secretly not change anything
  • Tell you they did
If your notes show:

  • New “differences”
  • A sudden preference
…you’ve just observed expectation effects in yourself — which is incredibly valuable insight.



8. Step 6: Reveal and analyze

Only after all rounds are done:

  • Reveal which DAC was which
  • Compare notes
Look for:

  • Consistent preference aligned with one DAC
  • Repeated language patterns
  • Preference surviving the placebo round


9. How to interpret outcomes (honestly)

Outcome A: Clear, consistent preference


This is rare — but valid.

  • The DAC difference matters to you
  • No need for universal claims
Outcome B: Preference flips or fades

This is the most common result.

  • Differences are not robust
  • Sighted listening likely inflated them
Outcome C: No preference at all

Congratulations:

  • You’ve reached transparency
  • Stop worrying about DACs


10. Common mistakes to avoid

  • Switching mid-track
  • “Hunting” for differences
  • Reading forums during the test
  • Changing volume
  • Using unfamiliar music
  • Short test periods (“I’ll know in 10 minutes”)


11. Why this works better than ABX

ABX tests:

  • Short-term
  • Stressful
  • Analytical
This method:

  • Tests preference, not detection
  • Mimics real listening
  • Lets biases decay naturally


12. Final thought (important)

If you do this honestly, one of two things happens:

  • You free yourself from gear anxiety
  • Or you justify your preference with confidence
Both are wins.

Very few audiophiles do this because it risks killing cherished beliefs — but for someone genuinely curious, it’s one of the most enlightening things you can do in audio.
 
Last edited:
Measured differences stop predicting perceived differences
Really?

If a difference can be repeatably perceived, then isn't it usually one already found in measurements? Like rolled off treble or significant phase/harmonic distortion.

Isn't it more that Measured differences stop predicting perceived preference?
That I'd argue for.

This doesn’t mean music sounds worse — just that evaluation becomes harder *honest.

An SPL meter or measurement mic (even phone apps help)
A multimeter costs less and is orders of magnitude more precise for level matching DACs.
 
Last edited:
Hi out there,
today I started a discussion with ChatGPT, and the result is very enlightening and will certainly provide material for further discussion here in the forum.
Therefore, I've decided to post the result here.

I hope you enjoy reading this as much as I did.
Best DrCWO


I’ll walk through what blind tests typically show, why opinions often change, and why this is uncomfortable for many enthusiasts.



1. What blind tests usually find (in practice)

When DACs are compared under proper blind conditions (level-matched, fast switching, no visual cues):

  • Listeners struggle to reliably distinguish DACs
  • Preferences often flip randomly between trials
  • Confidence drops sharply (“I’m not sure anymore”)
  • Measured differences stop predicting perceived differences
This holds even when:

  • One DAC is R-2R and the other delta-sigma
  • One costs 10× more
  • One has dramatically better published specs
When a difference is detected, it’s usually:

  • Small
  • Inconsistent
  • Listener-dependent


2. Why sighted listening is so persuasive

Sighted listening activates top-down perception:

Your brain doesn’t just hear — it interprets.

Known influences:

  • Price and brand reputation
  • Physical weight and build quality
  • Marketing narratives (“discrete ladder”, “no digital glare”)
  • Prior beliefs (“measurements don’t tell the whole story”)
Once you expect warmth, smoothness, or realism, your brain often supplies it.

Blind tests remove this scaffolding.



3. The “loss of narrative” effect

Many audiophiles report something like:

“Under blind testing, everything sounds kind of the same and boring.”

That’s not a coincidence.

Part of the enjoyment comes from:

  • Focusing attention
  • Actively searching for differences
  • Believing you’re hearing deeper into the recording
Blind testing collapses the narrative:

  • No identity for the sound
  • No story to attach to the experience
  • Less emotional investment
This doesn’t mean music sounds worse — just that evaluation becomes harder.



4. Why opinions often change after blind testing

Three common outcomes:

A. Increased skepticism

People realize:

  • Their confidence was inflated
  • Differences are smaller than imagined
  • Many descriptors were post-hoc rationalizations
They often shift toward:

  • Measurements
  • Controlled testing
  • “Good enough” DACs
B. More precise claims

Instead of:

“R-2R is more musical”

They say:

“I sometimes prefer this DAC in long listening sessions with bright headphones.”

That’s a much stronger and more honest claim.

C. Doubling down (this happens too)

Some react defensively:

  • Reject blind testing entirely
  • Claim it “kills musicality”
  • Argue stress or switching invalidates results
This is a psychological defense of identity, not an audio argument.



5. Famous examples (without internet drama)

  • ABX tests repeatedly show transparency once DACs reach competence
  • Studio engineers routinely use inexpensive delta-sigma DACs without complaint
  • When trained listeners can detect differences, effect sizes are tiny
Importantly:

No blind test has ever demonstrated a general preference for R-2R DACs.



6. Why blind tests feel “wrong” to some listeners

Blind tests:

  • Are analytical, not relaxing
  • Emphasize short-term memory
  • Remove ritual and familiarity
But here’s the key point:

If a difference disappears under blind conditions, it is not robust.

It may still exist for that person, but it’s not a property of the DAC alone.



7. The uncomfortable implication

Blind tests suggest:

  • DAC design is largely a solved problem
  • Speakers, headphones, and room dominate the sound
  • “House sound” of DACs is mostly expectation + tiny coloration
This threatens:

  • Expensive upgrades
  • Personal expertise
  • Community status
So resistance is predictable.



8. The balanced takeaway

Blind testing doesn’t say:

“You’re imagining everything.”

It says:

“Your perception is deeply context-dependent.”

And that’s true for all human senses, not just hearing.








This is a really good follow-up, because “short ABX tests are stressful and unrealistic” is probably the strongest criticism people make of blind testing. So let’s look carefully at what happens when tests are made long-term and more “natural”.



1. What people mean by long-term blind testing

Typically:

  • You live with Device A or B for days or weeks
  • You don’t know which is which
  • Switching is hidden or randomized
  • Levels are matched
  • You keep notes or just observe preference over time
This is much closer to real listening.



2. What long-term blind tests actually show

When done properly, results tend to fall into three patterns:

Pattern 1: Initial confidence fades

People start with:

“I’m sure I’ll notice it over time.”

After days or weeks:

  • Differences become harder to articulate
  • Preferences drift
  • Confidence drops
Often they end up saying:

“They’re more similar than I expected.”



Pattern 2: Preferences don’t correlate with DAC identity

Listeners may consistently prefer one, but:

  • When identities are revealed, the preference often doesn’t line up with the “expected” DAC
  • Sometimes the cheaper or “worse-measuring” unit is preferred
  • Sometimes preference flips across weeks
This strongly suggests contextual or mood-based effects, not intrinsic DAC sound.



Pattern 3: The difference disappears entirely

Many report:

“I stopped thinking about the DAC and just listened to music.”

That’s actually the strongest evidence of transparency.

If a component doesn’t demand attention, it’s doing its job.



3. Why long-term tests still don’t rescue DAC differences

People often expect subtle effects to accumulate over time — but the opposite happens.

Human perception adapts

  • The brain quickly normalizes constant stimuli
  • Small colorations stop being noticeable
  • Only large, persistent deviations remain salient
This is why:

  • Room acoustics matter a lot
  • Speakers matter a lot
  • DACs usually don’t


4. The “listening fatigue” claim

You’ll often hear:

“This DAC is less fatiguing over long sessions.”

Under blind long-term conditions:

  • Fatigue correlates more with recordings, headphones/speakers, and volume
  • DAC identity rarely predicts fatigue
  • Fatigue reports often disappear when identity is hidden
That doesn’t mean fatigue is imaginary — just misattributed.



5. What does survive long-term blind tests

Some differences do persist:

  • Output level mismatches
  • Frequency response deviations
  • Noise floor issues
  • Channel imbalance
  • Filter choices (especially NOS vs OS)
  • Broken or poorly designed gear
Notice something?
These are all measurable, first-order effects.



6. Why audiophile lore predicts the opposite

Audiophile culture assumes:

“Subtle improvements reveal themselves with time.”

Psychology shows:

“Expectation effects weaken with time when feedback is removed.”

Long-term blind testing removes reinforcement:

  • No visual confirmation
  • No praise from others
  • No confirmation bias loop
So beliefs decay.



7. A fascinating paradox

Many people report:

“I enjoy my system more after blind testing.”

Why?

  • Less gear anxiety
  • Less chasing differences
  • More focus on music
  • More confidence in “good enough”
Ironically, blind testing often increases enjoyment by reducing doubt.



8. The key conclusion

Long-term blind testing:

  • Does not reveal hidden DAC magic
  • Does not validate R-2R superiority claims
  • Does reduce overconfidence and folklore
  • Does shift focus to meaningful variables
If R-2R DACs had a strong, intrinsic sonic advantage, long-term blind tests would be the best way to prove it.

They don’t.



9. The most honest framing

A defensible statement is:

“I like this DAC, I know why, and I don’t need it to be universally better.”

An indefensible one is:

“It’s obviously more natural if you listen long enough.”

Long-term blind tests are precisely what challenge that claim — and that’s why they’re rarely embraced.










Great — this is where things get practical and surprisingly eye-opening. I’ll give you a realistic, home-doable long-term blind test that avoids the usual pitfalls and doesn’t require lab gear.

The goal is not to “win” an argument, but to find out whether you can hear a robust difference.



1. The core principle (keep this in mind)

You are not testing:

“Can I hear any difference if I concentrate?”

You are testing:

“Does one DAC reliably make me enjoy music more over time when I don’t know which one it is?”

That framing changes everything.



2. What you need (minimal setup)

Required


  • Two DACs (e.g. R-2R vs delta-sigma)
  • A way to switch DACs without seeing which is active
    • Hardware input switch
    • Or two identical inputs on your amp
  • Identical cables (don’t overthink this)
  • Notebook or notes app
Strongly recommended

  • A friend/partner to randomize assignments
  • An SPL meter or measurement mic (even phone apps help)


3. Step 1: Level matching (critical)

This is the most important step.

  • Play a 1 kHz sine wave
  • Measure output at your listening position
  • Match levels within ±0.1 dB if possible
    (±0.2 dB minimum)
Why?

A 0.3 dB difference is easily perceived as “better clarity”.

Do this before blinding.



4. Step 2: Blind the identity (properly)

Best method (simple and robust)


  • Label DACs A and B
  • Have someone else secretly assign:
    • Week 1 → A
    • Week 2 → B
  • Don’t tell you which is which
  • Randomize order (coin flip)
You should not know:

  • Which DAC is R-2R
  • Which costs more
  • Which you expect to like


5. Step 3: Long-term listening phase

Each phase should last:

  • At least 5–7 days
  • Normal listening only
  • No A/B switching during a phase
This avoids:

  • Analytical listening
  • Memory tricks
  • Hyper-focus on artifacts
Just listen to music like you normally do.



6. Step 4: Light journaling (very important)

Once per day (or every few sessions), write one or two sentences max:

Examples:

  • “Listened for 2 hours, no fatigue.”
  • “Felt slightly bored / distracted.”
  • “Really enjoyed vocals tonight.”
Avoid technical language.
Avoid guessing which DAC it is.

You are tracking experience, not traits.



7. Step 5: Switch, repeat, and add a twist

After the first period:

  • Switch DACs (still blind)
  • Repeat the same process
Then add the killer control:

The placebo round

  • Have your partner secretly not change anything
  • Tell you they did
If your notes show:

  • New “differences”
  • A sudden preference
…you’ve just observed expectation effects in yourself — which is incredibly valuable insight.



8. Step 6: Reveal and analyze

Only after all rounds are done:

  • Reveal which DAC was which
  • Compare notes
Look for:

  • Consistent preference aligned with one DAC
  • Repeated language patterns
  • Preference surviving the placebo round


9. How to interpret outcomes (honestly)

Outcome A: Clear, consistent preference


This is rare — but valid.

  • The DAC difference matters to you
  • No need for universal claims
Outcome B: Preference flips or fades

This is the most common result.

  • Differences are not robust
  • Sighted listening likely inflated them
Outcome C: No preference at all

Congratulations:

  • You’ve reached transparency
  • Stop worrying about DACs


10. Common mistakes to avoid

  • Switching mid-track
  • “Hunting” for differences
  • Reading forums during the test
  • Changing volume
  • Using unfamiliar music
  • Short test periods (“I’ll know in 10 minutes”)


11. Why this works better than ABX

ABX tests:

  • Short-term
  • Stressful
  • Analytical
This method:

  • Tests preference, not detection
  • Mimics real listening
  • Lets biases decay naturally


12. Final thought (important)

If you do this honestly, one of two things happens:

  • You free yourself from gear anxiety
  • Or you justify your preference with confidence
Both are wins.

Very few audiophiles do this because it risks killing cherished beliefs — but for someone genuinely curious, it’s one of the most enlightening things you can do in audio.
Do we really need AI for that?
You are member of ASR since 2020, and if followig the main themes on this forum would/should have given You (and everybody else) the same experience.
 
Do we really need AI for that?
You are member of ASR since 2020, and if followig the main themes on this forum would/should have given You (and everybody else) the same experience.
Unfortunately like most forums there are plenty of opinions and educated arguments. Often in conflict with each other. And often the finer detail gets assumed and just muddies the conversation. As a reader / learner I’ve been led down many incorrect paths through not intentional misdirection but rather misinterpretation. Arguing / Discussing with AI has been invaluable for me.
 
Do we really need AI for that?
You are member of ASR since 2020, and if followig the main themes on this forum would/should have given You (and everybody else) the same experience.
Sure, but I think all I know is nicely translated and summed up in this text :)
 
It’s amazing to see how AI evolved to where it became smarter than most audiophiles. And also reassuring that it didn't surpass ASR members ;)
That was my first thought, too, and the motivation for the reply above :cool: ;)
 
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