Is Synthetic Brake Fluid a Marketing Gimmick?

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0xDEADBEEF

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The issue likely wasn't the fluid, but rather the rubber deteriorating with age. If you'd replaced it with the same type of new fluid it probably would have gone dead as well.

When I was a tech we always replaced the master, slave, and hose as a set. If you didn't, the other components were going to fail soon after. If you don't bleed the brakes with new fluid occasionally (who does?) replacing the old fluid with fresh fluid often causes sudden leaks. Brake/clutch hydraulics are weird and problematic like that.

Hindsight 20/20, I would have left it alone. It was old, but it was working until I attempted to do the fluid replacement.
 

Pinger

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^ So much truth to that.

And its become standard practice to cherry pick statistics or make false statistics to fit a narrative to continue a one-sided conversation instead of listening to actual facts and changing your mind and changing the narrative based on real facts and truth. This is coming from both sides...
As the saying goes, statistics are like bikinis. What they reveal is interesting, what they conceal is vital.
 

618 Syndicate

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Statistics are math. Math never lies, it is incapable of deception. 2+2=4, no matter what. If you arrive at a different answer, you weren't adding 2+2.
People on the other hand can and do manipulate stats and use them to support lies.
I've taken more hours of stats than anyone should have to, and I am not a fan!
 

0xDEADBEEF

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Statistics are math. Math never lies, it is incapable of deception. 2+2=4, no matter what. If you arrive at a different answer, you weren't adding 2+2.
People on the other hand can and do manipulate stats and use them to support lies.
I've taken more hours of stats than anyone should have to, and I am not a fan!

It's all about selecting the sample and/or adjusting data. For instance, I have found out that people in the past always read their thermometers too high, so we had to correct that data before we used it in climate models.
 

618 Syndicate

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It's all about selecting the sample and/or adjusting data. For instance, I have found out that people in the past always read their thermometers too high, so we had to correct that data before we used it in climate models.
It's not just sampling techniques, appropriate methods and analysis type are super important as well.
 
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