John Williams Sees The Onset Of Hyperinflation In As Little As 6 To 9 Months...

Zero Hedge ^ | 09/14/10

[TigerLikesRooster]

John Williams Sees The Onset Of Hyperinflation In As Little As 6 To 9 Months As Fed "Tap Dances On A Land Mine"

09/14/2010 08:22 -0500

John Williams, arguably one of the best trackers of real, unmanipulated government data via his Shadow Stats blog, has just released a note to clients in which he warns that hyperinflation may hit as soon as 6 to 9 months from today. With so many established economists and pundits seeing nothing but deflation as far as the eye can see, and the Fed doing all in its power to halt the deleveraging cycle, both in the open and shadow economies, what is Williams' argument? Read on. Incidentally, even if some fellow bloggers disagree with Mr. Williams' assesment, we believe it is in our readers' best interest to have them make up their own mind on this most critical economic development.

Systemic Turmoil is Unthinkable, Unacceptable but Unavoidable. Pardon the use of the Aerosmith lyrics in the opening headers, but the image of tap-dancing on a land mine pretty much describes what the Federal Reserve and the U.S. Government have been doing in order to prevent a systemic collapse in the last couple of years. Now, as business activity sinks anew, much expanded supportive measures will be needed to maintain short-term systemic stability. Such official actions, however, in combination with global perceptions of limited U.S. fiscal flexibility, likely will trigger massive flight from the U.S. dollar and force the Federal Reserve into heavy monetization of otherwise unwanted U.S. Treasury debt. When that land mine explodes — probably within the next six-to-nine months, the onset of a U.S. hyperinflation will be in place, with severe economic, social and political consequences that will follow. The Hyperinflation Special Report is referenced for broad background.

[1rudeboy]

Uh, no.

[1rudeboy]

Sorry, I misread your last sentence.

[1010RD]

We make fun of climate change models that don’t match reality, but seem to fall for every bad news bear out there. I mean a stopped clock is more accurate.

[1rudeboy]

I know how to figure it myself, I just don’t trust the result: what is the confidence-level (in %), of a stopped clock that is correct twice a day, if you calculate in minutes? How about seconds?

[Toddsterpatriot]

If you're right 2 minutes out of 1440, 0.139%

Seconds, 2/86400, 0.0023%.