WHO chief Tedros Adhanom Ghebreyesus blames higher rates of cancer and heart disease on the "climate crisis". 🤡
Of course, it couldn't possibly have anything to do with those mRNA injections you coerced most of the planet into taking, could it? 🤡
So let me get this straight… the people of Colorado voted on an issue but Democrats are poised to ignore that and implement their will?
And that’s not fascist or authoritarian?
Interesting 🤔
Oh god I hope not! The politicians have already turned Denver and the outlying areas into a drug infested, homeless camp and outdoor toilet.
(Then again, perhaps that is the draw? )
@MorigeauJanine@Beyond_Mystic
We tried to tell you, DC is closed permanently the new capital of the United States is going to be in Denver Colorado, United States Republic only under article 4 section 4, meaning all laws all federal state City county local laws all company policies all gun laws are all null and void.
H/T Alex Collier
Canada brings in 3 new people
Every. Single. Minute.
⏱��� 2.7 / minute ⏰ 160 / hour 🗓️ 3,800 / day 📅 117,000 / month 📈 1.4 million / year
Carney & the liberals want even more immigrants.
Are we supposed to believe Ottawa is properly screening, vetting, and security checking every single one of them at this volume? They can barely process a passport on time.
This isn’t immigration. It’s a controlled demolition of our country.
It’s time to shut the door.
THE 15% BAND
Look at this chart.
59 races. Senate and governor.
States ordered from reddest to bluest in 2024.
The solid lines are 2024.
The dashed lines are 2026.
The shaded bands are what moved.
One formula fits all of it:
Republican 2026 = 0.85 × Trump 2024
Democrat 2026 = Harris 2024 + 0.15 × Trump 2024
For every 1,000 Trump points, 850 stayed Republican. 150 landed on the Democratic side.
The numbers:
Senate: Republicans kept ~85% of Trump’s share
Governor: ~86%
Variation explained: 88%
What makes it strange:
It didn’t matter how red the state was. Wyoming, Ohio, Illinois, Massachusetts: same 15% (p = 0.69). The Democratic gain was sized by Trump’s vote, not Harris’s. The Harris part is zero.
The 0.85 beat both standard election-swing models in every set of races.
Drop any single state and the multiplier stays between 0.846 and 0.853.
Why seats flipped:
At 0.85, any state where Trump got under about 58.5% falls below 50%. Texas, Kansas, Iowa, Ohio, South Carolina, North Carolina: all under that line. All flipped.
What this means:
Midterms are messy. This one isn’t. Two sets of races, different candidates, different campaigns, and the same 15% decrease almost everywhere.
A pattern this even demands answers at the ballot level: paper ballot hand counts, poll-book check-ins against votes counted, and voter files showing who actually turned out.
The numbers raise the question.
The ballots can answer it.
We cracked their cheating algorithm.
85/15 algorithm….for every 1000 Trump votes (most likely during early voting when Dems front loaded everything) 150 switched to Dems.
It’s the same pattern in every state that went blue.
WOW 🚨 I just verified this and these election results are real. I ran the numbers through artificial intelligence:
The likelihood of these election results are 0.00001%, effectively 1 in trillions
Again, THE LIKELIHOOD OF THE MIDTERM RESULTS NOT BEING FRAUD IS “1 IN TRILLIONS”