This e-mail has been cryogenically treated


I’d like to announce that, for no additional charge, all of my e-mails will be cryogenically treated. You can’t prove otherwise.

Seriously though, when a manufacturer claims their product has been cryogenically treated how would we even know? At least with seafood we can run DNA analysis, and often we find out we are being ripped off.

How would we know this about cables, plugs, power connectors, etc? Has anyone ever even seen this being done? That’s actually a serious question. I have never actually seen this happening.

How would we even know if, for instance, they treated a batch in 1995 and no longer do?

erik_squires

A few years ago I had a pair of cary audio cad 1610se amps, the main tubes being KR 1610’s. I had a problem that the main tubes were dying after a couple of hundred hours. I got in contact with KR and they suggested proving a paid that had been cryp treated. I had no further issues. (Sold the amps a few years later so can’t comment on if they’re still going but they had maybe 500 hrs at sale. 

@carlsbad2 you for one do not believe in measurements, that has been established many times over. But not interested in getting into another pointless back and forth about facts vs imagined things. 

but most people on this forum don’t believe in measurements, so there is that.

I believe in measurements, I don’t believe in people taking non-scientific approaches to measurements such as:

  • Making claims that the current measurements are the end of all measurements
  • Making claims about measurements and perception or desirability that are not actually proven or may be an individual preference.

Still, with as many tools as I have around this house to measure distance, temperature, humidity, speakers and electronics what I don’t have is anything that can prove to me if a cable is OCC or not or if it has been cryogenically treated or not.

@fredrik222 As a physicist I may have some experience with Data.  one of the first things a scientist has to figure out is the difference between good data and bad data.  you would benefit from improvement of this skill but is is generally difficult for laypeople.