The Trump Organization is trying to determine the sweep of Tuesday’s ruling that Donald Trump is liable for fraud and what it means for the future of the former president’s namesake business, his attorneys say.
At a pre-trial hearing Wednesday, Trump attorneys said they didn’t know to which part of the company the ruling applied and were starting to work out what may need to be dissolved to comply with the judge’s surprise decision.
Officials from New York Attorney General Letitia James’ office also said they needed more time to go through the order.
The fraud case “changed significantly since yesterday,” New York Judge Arthur Engoron said in court Wednesday, referring to his stunning ruling where he found Trump and his adult sons liable for fraud and canceled the Trump Organization’s business certification.
First I've heard of you agreeing. And no, I'm not ignoring your baseless claims, I'm calling them out for being baseless. It's a significant difference.
You have provided arguments, not examples.
I also haven't disproven that between the Earth and Mars there is a china teapot revolving about the sun in an elliptical orbit.
You can't prove a negative. I refer you back to the teapot.
They're imperical proof that the things I claim actually happen. That they don't quantify it doesn't imply that your unproven claims must be true.
All well-functioning democracies have better facilitation of voting than the US and higher voter participation. That they have both of those things in common is no coincidence.
That's an interpretation ignoring a ton of known data in favor of your unproven hypothesis. Ever hear of confirmation bias?
I have no idea and that's fine since it's irrelevant.
Ah, so it's a comprehension problem. Well, no point wasting my time then.
The point of asking for the least gerrymandered state was to show the differences in a state of your choosing, without me cherrypicking data.
The fact that they don't quantify it is my point. Youre making assertions of fact without the data to back it up. I'm pointing to flaws in your data and offering examples that show your assertions are incorrect.