Americans disagree on a lot. AI regulation isn't one of them.
In our latest report deep dive, Tyler Bench and Ben Leff unpack what bipartisan agreement on AI means for candidates, and why we're likely just scratching the surface of what AI regulation will look like.
Full video and report linked in comments.
Congrats to @ZoeyRosen and Will Livingston on their new @RMetS study in Meteorological Applications, fielded on the Verasight panel.
Adding health warnings to winter forecasts didn't shift how people judged their risk or planned to protect themselves, but self-efficacy and response efficacy did.
https://t.co/1MUSi8JITZ
We built an AI "digital twin" and tested it against human survey respondents.
Across 16 questions it still missed by 6.6 points on average. The gap held across every model and method we tried. New study from @gelliottmorris, @pete_enns, and Benjamin Leff. Link in reply.
Can AI "digital twins" replace human respondents?
To find out, we built an agent pipeline that samples respondents from Census microdata, attaches attitudes from tens of thousands of Verasight interviews, and generates responses.
Full report and methodology👇
As companies begin to sell synthetic (AI-generated) survey responses, new research with @gelliottmorris and Ben Leff shows why you should be skeptical: https://t.co/4qTfxl5HZw
@gelliottmorris Thanks, Elliott. We really enjoyed working with you on this one, and we welcome any questions or feedback as more people get a chance to read it.
New report out today with my friends at Verasight writing up a couple new studies I designed on AI “digital twins” in polling. The upshot is basically these tools are very inaccurate unless you have raw polling data to build on (which defeats the purpose!) https://t.co/LvJqsBTR09
Require a government ID to take a survey, and the people who decline aren't random.
They skew toward people who are more skeptical of institutions and more concerned about data privacy.
That biases the sample, especially on research about trust and politics. https://t.co/fPwrkeqUs8
In Verasight's testing, an LLM standing in for survey respondents labeled about 20% of Trump disapprovers as approvers, and made the same error in reverse.
Our research keeps finding it: LLMs cannot replace human respondents. Synthetic samples are predictions, not measurements.
Verifying real respondents shouldn't be a single checkpoint. Verasight verifies identity up front (SMS verification, voter-file matching), then measures quality across every survey using multiple signals.
Verasight doesn't require respondents to upload a government ID to participate; it's a rare backstop to let a flagged-but-real person confirm themselves and keep going.
Two independent studies found near-zero AI agents in our data. Read our new blog post to learn more. https://t.co/4N2iIUleuR
"Exceptionally nimble."
That's how @TasseliMcKay(UNC Chapel Hill, Social Medicine) describes working with Verasight.
We love working with researchers like Tasseli to bring rigorous survey projects to life.
Learn how we could support your next survey research project.
Have got a new poll out today on the reasons many Trump voters give for defecting from him over the last year, how Americans feel about Trump’s prioritization of the economy (bad, and punishing the GOP for it), and tests some immigration messaging https://t.co/bAy96YJh1s
Mandatory ID verification at the front of a survey looks like a fraud-prevention upgrade. It is actually a sample-distortion problem.
@pete_enns walks through Verasight's alternative, SMS authentication up front, government ID as a back-end precision check, in a new short video.
https://t.co/Xd3d0VficC
We are excited to see 3 new studies published using Verasight data hit academic journals in April.
-Boston, Joshua, Anna Gunderson, David Miller, and Kirsten Widner. 2026. "The Prosecutor Paradox: Understanding the Public's Low Knowledge About Chief Local Prosecutors." Journal of Law and Courts.
-Nelson, Michael J. and James L. Gibson. 2026. "Institutional Structures and Judicial Legitimacy." Political Research Quarterly.
-Dumas, Sarah E., Katherine O'Brien, Maya Rao, and Timothy H. Holtz. 2026. "U.S. Climate Change Policy Must Include Vector-Borne Disease Prevention." Frontiers in Public Health 14.
Browse our growing bibliography:
https://t.co/PmGcSV8oJ8
Verasight in @Newsweek!
Our latest 2028 Republican primary poll was cited in Newsweek's coverage of Trump's "dream team" comments on a potential Vance-Rubio ticket.
"A Verasight 2026 Variety Survey shows Vance has 37 percent of the potential vote compared to Rubio's 16 percent, Trump Jr.'s 13 percent and DeSantis' 7 percent."