The point that you fawned over a SINGLE DATA POINT with a tester and think that provides some "proof" shows you don't understand statistics or probability.
Oh, for fuck's sake. If you want to start touting professional credentials, I have an EE degree, and have worked in the digital communications field for 25 years, hence my avatar. Yes, I'm familiar with basic probability. If you want, you can read a tutorial I wrote about Bernoulli trials, confidence intervals, and hypothesis testing
twenty years ago.
The reason I support the video is because it backs what I *already* know to be the case, because I've *been* studying this for years.
Question 1: Why would it change your mind if provided you a document with numbers in it? If you don't accept what I'm saying now, how would a spreadsheet of numbers make you feel differently?
And contrary to what you say, if you can test each capacitor in a lot of 50 (same voltage, microfarads, temperature range, brand) and document it then you will have statistically significant data which is NOT opinion.
I have a statistically significant data set. That's what makes it NOT opinion.
Opinion is defined as "a view or judgment formed about something, not necessarily based on fact or knowledge." My view IS based on knowledge. Knowledge gained from years of repairing, measuring, and standing behind these boards, which has *included* observation of a large data set of caps.
Contrast this with what you are asking people to accept on face value.
1. You have fixed hundreds of boards.
2. In each board (with no business need), you have tested all the capacitors.
3. In this testing, you have found the capacitors were still good.
4. You apparently never found a single bad capacitor.
5. You don't have any records of your readings. We just need to trust you.
Yes, that's exactly what I'm presenting. (Specifically for Atari game boards and AR's.)
I have also found plenty of bad caps on HV cages, and non-Atari game boards. I can even tell you which caps fail most often on specific boards (because I've seen a significant number of those that HAVE been bad, as well).
I *had* a business need to test all of the caps. Because they were all boards that I was either repairing or selling, with a warranty that I stand behind. Therefore I needed to do some testing to build confidence that the caps could be left original and the board would be reliable. Hence me incorporating a study of this into my process.
I've been publicly stating for years here that it isn't necessary to replace original Atari caps, unless they're physically damaged or missing. I've sold countless game boards and AR's here, and my volume is backed by
public data. What do you think my recommendations are based on? Opinion?
Question 2: If my practices were somehow flawed, do you think I would still be in business? Don't you think I'd be having chronic problems with boards failing in the field?
If you have data, I'd be happy to look at it. I can run a statistical analysis and see what it tells us. I suspect you just looked and didn't write things down. That's fine. Note that until you do, the results are just your opinion.
Yes, I didn't record every ESR value. Because that isn't necessary in order to form one type of statistical study.
I checked the ESR values, compared them to the acceptable values you find in typical tables (and/or I would grab a new cap to compare against), and none have shown high ESR. Nor has a single Atari game board or AR failure been due to a bad electrolytic cap. Caps with high ESR are obvious when you see them, because they will measure significantly above the typical value. It's a specific failure mode.
The data comes in the VOLUME of Atari boards I've looked at, and seen none with bad ESR, and no cap-related failures. That *is* data. Specifically it is
Bernoulli trial data. The data is represented in binary form. And the volume of it is what gives statistical confidence, particularly when the number of observed failures is zero. See references above regarding Bernoulli trials.
Question 3: If I were to give you a spreadsheet with measured ESR values, what statistical analysis would you perform? Be specific.