So, two days ago, the doxxing website DOGEQUEST, primed by an article by the @sltrib, slapped my husband’s distillery front and center in an attempt to intimidate and silence me.
To be honest, it did get me down.
And … congratulations, they might have achieved their goal. We might just have to shutter the whole operation…
… because my husband just now notified me our entire inventory got nearly cleared out in 48 hours flat. His multi-year productions, all of which he personally oversaw and toiled over. All bought out in the blink of an eye.
Terrorists lose this round.
And I have a great feeling that this is going to similarly backfire against @Tesla .
There is a miraculous element to this, IMHO.
We had been trying many months to sell our product online with little success.
It is not a coincidence of the Lord that we finally went online, just one day after he got doxxed in the worst way possible by a viral website.
I pray that every patriot takes encouragement from this.
Looks like my husband has *just* changed it up to offer the actual storefront stock now because it’s not out of stock anymore, get it while it’s hot!
(To be clear, he has a portion he sells to distributors and a portion he offers in-person. He was quite clear today that he was on track to sell everything out, and I checked the website, and three out of four was sold out. I’m guessing he’s now selling the inventory he’d normally sell in person.)
Looks our vendor is overselling what we have in inventory, so apologies in advance if you get some awkward cancellation emails…
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💎 DUPLICATE SMALL DOLLAR DONATIONS IN KANSAS LOCAL RACES
Following the discovery of @matt_vanswol’s report on fraudulent donations in Kansas, I analyzed four local candidates’ filings. I uncovered 13 donors who each made identical donations to the same candidate on the same date—10 of these donors were from out of state. These same contributors also appeared across most of the nine candidates that Mr. Van Swol donated to, but I focused on these four reports.
Here are the names I found which appeared across all 4 reports. All dates and amounts were same:
🔷 Benjamin k Hand, 10/10/20, $2.00/$1.00, CA
🔷 Chia Yuan Hung, 10/10/20, $1.00, NY
🔷 Dawn Hoffman, 10/10/20, $1.00, FL
🔷 Elaina Rose, 10/10/20, $10.00, WA
🔷 Jennifer Forbes, 10/10/20, $2.00, KS
🔷 Kathleen Newman, 08/04/20, $32.00, KS
🔷 Margaret Pisciotta, 09/18/20, $4.00, KS
🔷 Martha Teitelbaum, 10/10/20, $1.00, MD
🔷 Matthew Van Swol, 09/01/20, $2.00, NC
🔷 Rena Korb, 10/10/20, $1.00, CA
🔷 Ryan Ward, 10/10/20, $1.00, CA
🔷 Tamir Avital, 10/10/20, $4.00, CA
🔷 Teresa Lewis-Hutson, 09/02/20, $1.00, MO
Receipts follow.
@matt_vanswol Here are where you can download the donation reports for the campaign cycle:
Three additional MAGA X influencers got swatted today: @Beard_Vet , @matt_vanswol , @GrageDustin .
I used Grok to compile the following list of swatting victims and then ran it through both Grok and OpenAI’s deep research tools to find common patterns.
I also used AI to analyze who wasn’t swatted, to identify differentiating factors. Finally, I attempt to identify the next high priority targets. Thread follows. 👇
@Beard_Vet @matt_vanswol @GrageDustin The top AI identifying factor among swatted victims: association with @elonmusk , and/or prominence in alt-media such as InfoWars or War Room.
Documenting receipts (sorry, this will be slow):
@Beard_Vet @matt_vanswol @GrageDustin @elonmusk . @JoeTalkShow is a big fan of Elon:
The question is not whether such awards exist—I have already acknowledged that they do. The issue at hand is not a matter of finding a counter-example and declaring the metric validated. The real question is which heuristic is more accurate: relying on "current award value" or assuming that contractors typically spend up to their maximum authority.
The scale of relevant awards is vast—tens of thousands exceed $1 million and collectively amount to trillions. In contrast, you have cited only a few dozen exceptions. You are not providing not a refutation; you prove to have a fundamental misunderstanding of how heuristic correctness is determined.
Historically and consistently, contractors spend to their maximum authority. Given this reality, the most accurate heuristic for estimating savings is to use potential award value.
I trust this clarifies the point.
In my initial run, which processed the first 60,000 rows, I did not find these awards—my hard drive overheated long before I could complete a full pass through the database. In a later run, which I referenced in another post, I did identify two such awards. That discrepancy is a matter of sampling size, not an issue with the query itself.
I’ll now attempt a full run, which should capture the awards you found.
Running on the full dataset now and I think it'll complete this time! Found a bug which underestimated the number of awards that ended under their potential value, but also underestimated the number of awards that ended OVER their potential value. And
🧵 (Re-posting after it was accidentally made exclusive)
Doing a thought-of-consciousness thread here. First up, Troublemakers. They are small and grassroots, with no EIN that I could link to them yet. They were featured in a news article wherein they asked Amazon to stop buying fracked gas from GTN XPress - which seems to be a highly specific request.