...Specifically, he suggested that when anyone supported a spending measure of any kind, the question of whether money should be taken out of the pockets of hardworking middle-class taxpayers like Dickey to finance it should be asked. (Yes!!)...
Originally Posted by Texas Contrarian
Bring Back Dickey Flatt!
...Is an item of spending worth taking a dollar from Dickey Flatt’s ink-stained hands?...
Good starting point. Can we do even better? Many appropriations may be better served to the peoples if it was a tax deductible donation from your own
ink-stained hands instead of glomming on to other peoples money and passing it on to many opaque, questionable and unaccountable efforts? Would certainly gauge the interest level closer to home.
Obviously, there would need to be some caps to donations and we would still need some general safety nets, i.e. not entitlements, along with transparent accountability. The Dickey Flatts article above highlights some examples of these, i.e. means testing.
...Nowadays, many incumbents enjoy being ensconced in districts that are so heavily gerrymandered that they have little concern about losing a general election...
Originally Posted by Texas Contrarian
Bingo! I would add this tidbit as well:
Q) What is the last thing a new Congress-critter does on their first day on the job?
A) Start running for reelection.
Trump is wise to go after the Dark Moneys, aka money laundromats like USAID and now ACTBLUE, via DOGE at the moment. This is a perfect place to leverage quantum computing in real time, along with artificial intelligence - IMMHO.
Pretty sure I posted a piece on this awhile back. As they link multiple data sets, across multiple sites, from multiple agencies (State/County/Federal etc) (think in the thousands), in the half-blink of an eye - you really get an eye full. You can see all the layers of Goes-Intos and Goes-Ottas. First mind blowing demos I saw of this was sanitizing voter roles in 2020 and Dark Money tracking.
As I remember it, neural networks had their start going back to the early '90s. It was crude and had nothing near as powerful as today. The '90s version was like static, 1 dimensional, flickering B&W versus today's rotating, expandible, drill down, 3D, 8K, Billion color, updating 3,000 time a second, across a thousand data sets.
Take another look at that
window into the debt world. But that is not even the neural network version I was referencing just above.
Pop Quiz!
Anyone try the go back in time feature?
Long winded version of saying:
Transparent Accountability in Real Time (TART)
Might even save us a gazillion carbon credits by eliminating all the gaslighting in the
LAMBScream media.