Fifteen minutes of insight and exposition

 

Last Monday I mentioned Glenn Beck's analysis of the Deep State's "money trail".  He used analysis from Datarepublican to illustrate the incestuous links between various NGO's and each other, and between them and State organs such as USAID, whereby taxpayer dollars were distributed wholesale to causes and activities that were clearly way outside US priorities.

Yesterday, digging deeper, I learned that Mr. Beck has just interviewed the lady known as Datarepublican.  They spent 15 minutes discussing what's been going on, and how the links now being uncovered between departments of state and NGO's are redefining what we know about corruption and misuse of taxpayer funds.  It's very interesting, and well worth your time.

All this should have been known years ago, of course.  The only reason it hasn't is that the mainstream media have ignored their job of investigative reporting, and helped to conceal all this chicanery and deception.  Today, thanks to the Internet, President Trump, D.O.G.E. and millions of concerned citizens, the truth is coming out, and the mainstream media are powerless to stop it (although they're doing their best, I'm sure).  I daresay it'll take years to analyze it all, but please God we'll get it done in the end.

It's been claimed (albeit from a source I've generally considered unreliable and untrustworthy) that:

Algorithms created by the United States Department of Government Efficiency (DOGE), have finally achieved what they are calling "God Mode" access to every Executive Branch Agency spending system.

Algorithms are now inside all the Executive Branch systems actively tracing ALL transactions, cataloguing all the requisite information, and creating output files for Executive (Presidential) Review.

No expenditure of money can be hidden by vast networks of "pass-throughs" as was possible for the past fifty years.. No bank account destinations can be shielded anymore.

There's more at the link.

For once, I hope that source is accurate!

Peter