YouTube UOA Testing of Amsoil SS vs Penzoil Ultra Platinum on Ram 2500 w/6.4L HEMI

What is the cause of the viscosity deviation you’ve seen?
I wish I knew. I have no Earthly idea. I have always assumed that the AGS system (and a 203 degree thermostat) maintaining higher temps had something to do with it. The 0W-40 sheared down to slightly out of grade in less than 3500 miles. This engine has less than 15k, and the fuel dilution was by Blackstone’s method.
 
I wish I knew. I have no Earthly idea. I have always assumed that the AGS system (and a 203 degree thermostat) maintaining higher temps had something to do with it. The 0W-40 sheared down to slightly out of grade in less than 3500 miles. This engine has less than 15k, and the fuel dilution was by Blackstone’s method.
Yeah that's the problem. With Blackstone you have no idea whether it was thinning due to fuel dilution or due to mechanical shear of the VM. Their estimations of fuel have been shown to be grossly inaccurate.

If it is fuel (which it typically is) then it's not a problem with the oil. For the most part fuel dilution is simply the addition of a low viscosity fluid to one with a higher viscosity. No oil resists that better than another. Sure there are long-term problems arising from the fuel but this isn't a long OCI.

Plus the fact that Blackstone analyses have also been shown to have problems with accurate viscosity measurements, so an oil that is "slightly out of grade" is suspect on its face. 3500 miles is an awfully short period for a high quality oil to not stay in grade, but depending on driving conditions and the particular engine, it is certainly enough time for fuel to cause a deviation.

It also shows why a VOA is helpful, you'd know how close to the limit you are before you start. That oil is the SRT one, correct? There are others on the board (@OVERKILL ?) that may have input. It could be mechanical shear of the VM but you'd need a better analysis than Blackstone is able to give.
 
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Not really. He's been to HPL's lab, Valvoline's lab, did videos on Mobil 1 etc. and will pretty much talk to anyone about anything related to oil. He's always gotten back to me with any question I had even when he was with Driven, and still does get back to me if I message him.

So your facts aren't really facts at all.

Who knows how many endorsement's he gets but you outlined several. "That's data, not speculation."
His name is plastered all over speediagnostix's website. "That's data, not speculation."
He has at least 3 videos now where he promotes Pennzoil. "That's data, not speculation."
 
Yeah that's the problem. With Blackstone you have no idea whether it was thinning due to fuel dilution or due to mechanical shear of the VM. Their estimations of fuel have been shown to be grossly inaccurate.

If it is fuel (which it typically is) then it's not a problem with the oil. For the most part fuel dilution is simply the addition of a low viscosity fluid to one with a higher viscosity. No oil resists that better than another. Sure there are long-term problems arising from the fuel but this isn't a long OCI.

Plus the fact that Blackstone analyses have also been shown to have problems with accurate viscosity measurements, so an oil that is "slightly out of grade" is suspect on its face. 3500 miles is an awfully short period for a high quality oil to not stay in grade, but depending on driving conditions and the particular engine, it is certainly enough time for fuel to cause a deviation.

It also shows why a VOA is helpful, you'd know how close to the limit you are before you start. That oil is the SRT one, correct? There are others on the board (@OVERKILL ?) that may have input. It could be mechanical shear of the VM but you'd need a better analysis than Blackstone is able to give.
I actually have a Blackstone VOA on the PUP 0W-40 that's in there now. I'll be doing a UOA with a kit from Amsoil. Oil Analyzers, maybe? I'll be sure to post it.
 
He doesn't own a lab. He outsources the labwork and the value he adds is his interpretation of the results.
I'd have them re-run it. Not sure how he would interpret a viscosity measurement wrong. All the other values including oxidation seem accurate.
 
I'd have them re-run it. Not sure how he would interpret a viscosity measurement wrong. All the other values including oxidation seem accurate.
Transcription errors happen, I have no special insight as to how it got messed up here, though. I do agree it seems to be wrong.

I did a lot of research before making my first foray into UOA. I decided to go directly with Horizon/Polaris even though it means being treated like I'm running a large fleet and having to use some clunky systems. It's worth it to me.
 
Transcription errors happen, I have no special insight as to how it got messed up here, though. I do agree it seems to be wrong.

I did a lot of research before making my first foray into UOA. I decided to go directly with Horizon/Polaris even though it means being treated like I'm running a large fleet and having to use some clunky systems. It's worth it to me.
Good choice. (y)
 
I will defend him here. He's very knowledgeable when it comes to data and the proper methods of obtaining that data. However, most of it gets lost on the average Youtube viewer. That stuff makes videos dull and boring, unlikey to be shared, and so on. I don't like that he does it that way, just to be clear, but he's well versed in data if you speak to him in person. Show that you know a bit about that subject, he'll talk your ear off. Sitting in the pits at an NHRA event a couple years ago, we had a 2 hour long conversation about the use of ionic liquids as friction modifiers in engines, transmissions, and differentials. He broke down everything he did, alongside GM engineers, in testing these at ORNL with a ton of graphical data.

No. I don't condone using singular UOAs as conclusive data, and I hate that he does this. He knows better, we've spoken about this, but in the world of Youtube, there's often a distinction between what's valid and what's likable/relatable. Lab tests like PDSC, TGA, RPVOT, Teost, etc... and live engine tests on a dyno cell are not available to the average Joe. A UOA is, however. Thus... you use what's relatable. He still does videos with these appropriate tests. I'm not defending this approach to Youtube videos. I'm defending the comment of him being ignorant. He most certainly isn't.

The video should be treated as any other Youtube video which is entertainment only.

He also is not a shill for Pennzoil. He's done more videos with Mobil 1 than Pennzoil, as well as videos with Valvoline, Chevron, HPL, Amsoil, etc....


I acknowledge the information you're sharing, but that just makes him that much worse IMO. What you're telling me is that he's aware of what he's doing, and is willing to eschew a higher bar for the sake of monetization. If he's so well versed in data driven decisions, and yet he panders to YT algorithms, then the end result is no better than PF. Because what I'm reading is that you're saying that he knows small sample sets are only, at best, able to show correlation but not causation. But he's OK with pandering to YT anyway.

I will defend my position. One cannot make SANE, RATIONALE decisions in comparison or contrast, by using a few samples (or worse, one for each). That is bovine-manure! Anyone can take a few data points and make decisions; I won't disagree. But that doesn't make them good decisions. It makes them unreliable and haphazard.

It appears to me that perhaps we're mixing definitions here. When I say "data driven decisions", I'm speaking of statistically sound methodology that is proven in the world to be of use for controlling processes and products. SixSigma ... Shanin RedX ... etc ... Unless you have a solid understanding of variation of any process or product, you have ZERO idea of what "normal" is, and is not. That is IMPOSSIBLE to accurately ascertain with just a few samples.

And if his YT stuff is just for entertainment only, then perhaps we should block his videos here. I mean, if he's just about the money and not about good intellectual lube conversations, why should we help promote his hypocrisy? We can't have it both ways ... We shouldn't say he is a credible tribologist and worthy of revering, and yet admit his YT content is generally watered down dribble. Would you accept that kind of approach from a doctor? A credible man of medicine that dumbs down YT content for the sake of making money? Would you want that from a lawyer? That he's well respected for his knowledge but stretches and/or obscures the truth to get "likes"?

Given what you've shared, I'll retract my statement that he's ignorant.
Because (according to you) he knows better and yet proceeds to promote this garbage anyway, that makes him arrogant.
 
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This forum gets tiresome sometimes, when people bash and bash and bash information posted by the likes of Speed, when them in themselves have nothing substantive to offer. Just complaints.

We get the continual "oil analysis reports are useless to determine wear", but nobody offers anything better.

It's easy to be a critic. Blah blah blah, this test is meaningless. The test methodology is wrong, ect, etc. Yet, nothing better if offered.

Opinion is more valuable to many of these critics than science. And even if the science has flaws, or room for improvement, science is better than raw opinions, which is all many on this forum have to offer.
 
This forum gets tiresome sometimes, when people bash and bash and bash information posted by the likes of Speed, when them in themselves have nothing substantive to offer. Just complaints.

We get the continual "oil analysis reports are useless to determine wear", but nobody offers anything better.

It's easy to be a critic. Blah blah blah, this test is meaningless. The test methodology is wrong, ect, etc. Yet, nothing better if offered.

Opinion is more valuable to many of these critics than science. And even if the science has flaws, or room for improvement, science is better than raw opinions, which is all many on this forum have to offer.
Who is bashing?

Opinion might be better than science for looks, but for facts? That’s just your opinion man.
 
This forum gets tiresome sometimes, when people bash and bash and bash information posted by the likes of Speed, when them in themselves have nothing substantive to offer. Just complaints.

We get the continual "oil analysis reports are useless to determine wear", but nobody offers anything better.

It's easy to be a critic. Blah blah blah, this test is meaningless. The test methodology is wrong, ect, etc. Yet, nothing better if offered.

Opinion is more valuable to many of these critics than science. And even if the science has flaws, or room for improvement, science is better than raw opinions, which is all many on this forum have to offer.
You may well be his target audience.

Perhaps tell us what is wrong with the criticisms posted here? Or tell us how the spectrographic analyses as presented are actually valid? From what I've seen so far there are technical reasons why people are having issues with that video that are pretty well thought out and have some actual technical background. Not at all "raw opinions" as you're claiming.
 
Then you either haven't been reading or you can't understand what I've written.
90% of what you post is condemnation of what someone else posted. Or, meaningless leading posts, asking questions trying to trip up the person on the receiving end. No science from you, that I've seen, for the most part.
 
90% of what you post is condemnation of what someone else posted. Or, meaningless leading posts, asking questions trying to trip up the person on the receiving end. No science from you, that I've seen, for the most part.
So forget me, how about the other technical arguments given in this thread? There are several other posters who have made comments, what about them and what they've said? I can repost some if you like, or you can just look back yourself.
 
@dnewton3
Since I have a background in stats, I can appreciate all the x-bar R and SPC stuff and confidence intervals and Z testing and such. I've done the R90C90 work and can sort of intuit that stuff now. I've analyzed data from MATLAB to JMP to MINITAB to EXCEL and back-- everything from reliability/warranty data to engine test cell data to field test data. I'm talking data files where the farthest column is XIV and tens of thousands of rows.

And I'll back you up-- if you want to publish a paper in a lubrication journal declaring one oil better than another, you need a massive sample size and a good gauge R&R study to accompany the lab data. NIST traceability, calibration certs, all that.

But I think you're missing the mark in insisting that you can't learn *anything* to distinguish oils short of such a scientific study. You don't just magically transition from "completely inconclusive" to "Nobel committee called me" on a step function basis. There is a spectrum. And there is useful information to be gleaned. If I shot a rifle one time and hit a 12" target at 100y, how accurate/precise is that rifle? I can't say with certainty. But I know there's a good probability I can hit a 12" target with hit because my first shot did just that, and-- almost tautologically so-- the first shot represents the most likely outcome. So my confidence in hitting it a second time is much higher than if I'd never shot it at all-- because it's already done so once. So with a sample size of two, I've gleaned useful but anecdotal information.

If I move a light switch up and down, the light goes from off to on and it doesn't take very long to become convinced that moving the the switch causes the light to change and that moving it one direction vs the other always causes the light to move the same direction.

Now what if instead of the light going off and on it just got the tiniest bit dimmer or brighter? Twice in a row it got brighter when you moved it up and got dimmer when you moved it down. When do you conclude that one position of the switch is brighter than the other? Do you need a NIST-traceable light meter with precise quantification of luminous flux? Or can you trust your eyeballs enough to have a reasonable confidence that one position is brighter than the other?


So what are reasonable statement that can be made about the UOA shown in the OP?
-- The change in aluminum levels is nonexistent and essentially zero. There' no difference between these oils.
-- There's no discernible effect on iron levels. Changing back to PUP had no effect on iron vs SS iron levels. There's no difference between these oils.
-- The copper difference is *absolutely* discernible and real. Two runs of SS trended copper much higher and kept going, only for the PUP to revert to the same prior copper level, which was half of the SS value.

What's misleading in the UOA report is labeling copper a "wear metal" when it's very likely to be leaching vs wearing. Copper is catalytic and quite reactive. And how exactly does one "wear" copper into the oil without also wearing any aluminum, tin, zinc, or iron?

To my knowledge, pure copper does not exist in most oil-wetted surfaces in a modern engine. It only exists as a brass or bronze alloy. I know that's true of Cummins engines at least because our engineering standards forbid pure copper on oil wetted (and fuel wetted) surfaces. The injector combustion seals are one of the only places you'll see pure copper on a Cummins engine.

Which means any wear particle generated that contain copper will also contain the other alloying elements-- tin or zinc especially, but perhaps even lead.

The only way copper can spike up without taking any other element with it is if it is, in fact, leaching and not wear.


So at the end of the day, I interpret this UOA as saying there's no discernible wear performance difference between the oils, and that the high ester content of the Amsoil is leaching copper from a bushing alloy somewhere (presumably valvetrain), and this will come back down after the surface depletion and a bit of passivation.

If a third run of SS showed the copper staying higher at 10ppm/1k miles, I'd abandon SS for this engine because chronic high copper levels are an accelerant of piston deposits. And since Amsoil's stout ester dose is presumably rooted in cleanliness desires, that would be counterproductive.


Based on copper alone, I'd say this is a "win" for the PUP and there's no need to pull 30 samples to reasonably conclude that. The copper went up and the SS went in and it came back down when the SS came out. Cause and effect.

There's no way to translate these results into engine life or failure probability. But that's not the point. The point is upvote vs downvote. To me, the copper leaching of Amsoil gets the downvote here and I'd recommend the PUP here confidently and not need 30 samples to have that confidence.
 
I appreciate his science. Haven't seen any from you, just complaints.

Here's some "science" for you ...
https://www.isixsigma.com/sampling-data/a-study-of-estimates-of-sigma-in-small-sample-sizes/
And I quote ... "The question was posed to me: “I have five samples to test from my population. From that data, how can I estimate capability against our specifications?” Of course, the brutally honest answer is, “Poorly.”

Small sample sets are notoriously inaccurate in calculating accurate Stdev values. Woefully so. 30 samples is a min; 50 is better.

I don't doubt that LSJr was able to find correlation between his UOA data and other means of measuring wear. That is actually a well proven correlation in many SAE articles and studies. Just a couple I'll mention:
- Ford/Conoco wear data study 2007-01-4133
- GM filtration study (the infamous one which is so badly misunderstood) 88-1825
- etc

The issue is that correlation does not prove causation; those are not the same thing.

Further, LSJr is mixing methodologies; macro and micro data stream results cannot be jumbled with any expectation of conclusive validity.


Have you bothered to read this? I've only posted it about 1000 times on this site in many different conversations. It was linked a page back in this very thread; did you ignore it?
https://bobistheoilguy.com/used-oil-analysis-how-to-decide-what-is-normal/

You're asking for credible information as to why I'm skeptical of his "science". I've laid out a very good explanation. And I'm not trying to taunt or tease you here; I'm trying to answer the objection you put forth. I can explain it to you, but I cannot understand it for you. You've got to spend the time to read the information and digest it, then ask questions if you don't understand.

I am the first person to admit I'm not a chemist; there's a lot I struggle to understand in the world of tribology and I count on others here to help me. But I'm really good at statistical methodology; made my living doing that for more than a decade. When I say you can't take a few UOAs and make comparative/contrasting conclusions, I know darn well what I'm talking about.
 
@dnewton3
Since I have a background in stats, I can appreciate all the x-bar R and SPC stuff and confidence intervals and Z testing and such. I've done the R90C90 work and can sort of intuit that stuff now. I've analyzed data from MATLAB to JMP to MINITAB to EXCEL and back-- everything from reliability/warranty data to engine test cell data to field test data. I'm talking data files where the farthest column is XIV and tens of thousands of rows.

And I'll back you up-- if you want to publish a paper in a lubrication journal declaring one oil better than another, you need a massive sample size and a good gauge R&R study to accompany the lab data. NIST traceability, calibration certs, all that.

But I think you're missing the mark in insisting that you can't learn *anything* to distinguish oils short of such a scientific study. You don't just magically transition from "completely inconclusive" to "Nobel committee called me" on a step function basis. There is a spectrum. And there is useful information to be gleaned. If I shot a rifle one time and hit a 12" target at 100y, how accurate/precise is that rifle? I can't say with certainty. But I know there's a good probability I can hit a 12" target with hit because my first shot did just that, and-- almost tautologically so-- the first shot represents the most likely outcome. So my confidence in hitting it a second time is much higher than if I'd never shot it at all-- because it's already done so once. So with a sample size of two, I've gleaned useful but anecdotal information.

If I move a light switch up and down, the light goes from off to on and it doesn't take very long to become convinced that moving the the switch causes the light to change and that moving it one direction vs the other always causes the light to move the same direction.

Now what if instead of the light going off and on it just got the tiniest bit dimmer or brighter? Twice in a row it got brighter when you moved it up and got dimmer when you moved it down. When do you conclude that one position of the switch is brighter than the other? Do you need a NIST-traceable light meter with precise quantification of luminous flux? Or can you trust your eyeballs enough to have a reasonable confidence that one position is brighter than the other?


So what are reasonable statement that can be made about the UOA shown in the OP?
-- The change in aluminum levels is nonexistent and essentially zero. There' no difference between these oils.
-- There's no discernible effect on iron levels. Changing back to PUP had no effect on iron vs SS iron levels. There's no difference between these oils.
-- The copper difference is *absolutely* discernible and real. Two runs of SS trended copper much higher and kept going, only for the PUP to revert to the same prior copper level, which was half of the SS value.

What's misleading in the UOA report is labeling copper a "wear metal" when it's very likely to be leaching vs wearing. Copper is catalytic and quite reactive. And how exactly does one "wear" copper into the oil without also wearing any aluminum, tin, zinc, or iron?

To my knowledge, pure copper does not exist in most oil-wetted surfaces in a modern engine. It only exists as a brass or bronze alloy. I know that's true of Cummins engines at least because our engineering standards forbid pure copper on oil wetted (and fuel wetted) surfaces. The injector combustion seals are one of the only places you'll see pure copper on a Cummins engine.

Which means any wear particle generated that contain copper will also contain the other alloying elements-- tin or zinc especially, but perhaps even lead.

The only way copper can spike up without taking any other element with it is if it is, in fact, leaching and not wear.


So at the end of the day, I interpret this UOA as saying there's no discernible wear performance difference between the oils, and that the high ester content of the Amsoil is leaching copper from a bushing alloy somewhere (presumably valvetrain), and this will come back down after the surface depletion and a bit of passivation.

If a third run of SS showed the copper staying higher at 10ppm/1k miles, I'd abandon SS for this engine because chronic high copper levels are an accelerant of piston deposits. And since Amsoil's stout ester dose is presumably rooted in cleanliness desires, that would be counterproductive.


Based on copper alone, I'd say this is a "win" for the PUP and there's no need to pull 30 samples to reasonably conclude that. The copper went up and the SS went in and it came back down when the SS came out. Cause and effect.

There's no way to translate these results into engine life or failure probability. But that's not the point. The point is upvote vs downvote. To me, the copper leaching of Amsoil gets the downvote here and I'd recommend the PUP here confidently and not need 30 samples to have that confidence.

I agree to a point. The danger here is that novices/noobs will take one sliver of what LSJr says and think they can use any UOA to make a "better/worse" determination. That is patently untrue if accuracy is the goal.

Also, I agree about the Cu with ester reaction comments. That was SUPER common back in the day with LLY/LBZ/LMM Duramax engines which ran Amsoil due to the chelation of Cu from the oil cooler; the Cu would spike sky high. It wasn't really detrimental to the engine, but it was surely able to mask real problems and made Cu a red herring. The issue is that the high Cu reading from chelation would easily mask the beginning of a problem of wear; you can't distinguish one from the other when the totals are so high.


One thing that we ignore (because we don't have any ability to correct it from our chairs at home) is that UOA data is reported in whole numbers. And when we're only talking about a few ppm difference, that's too darn close to be declaring a winner or loser. Anyone who's spent any time in a quality lab, and understands equipment validation and R&R studies, realizes that accurate reporting is dependent upon a 10x factor.
- If you want to report something in whole inches, you should be able to discern .1 inches with good R&R
- If you want to report something in tenths of an inch, you need to be able to accurately measure .01 of inch with good R&R
- If you want to report something in hundredths of inches, you need to be able to measure to a thou with good R&R,
etc ...
UOAs are reported in whole numbers; but are they measured in tenths? I have no idea. No one I've asked does.
I would salivate at the chance to run a good R&R on an ICP or other oil analysis system, but I've not been able to find any takers.



These UOAs in the video don't prove that either oil is better or worse, because the micro data is grossly lacking in volume.
What they prove that is neither oil is better or worse, relative to macro data norms.



I must exit now; leaving for a long weekend. Please don't take my silence as disinterest; I'll just be AFK for a while.
 
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