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Wit Research

Wit Research

A frontier global think tank aimed at surfacing truth in all things.

We are an independent alternative to research programs organized by ideological pressure. Communistic doctrine does not set our questions, and no other political orthodoxy does either. We commit to statistics that reflect the evidence.

  • 01Evidence before political convenience
  • 02Methods a reader can reproduce
  • 03Controversial questions, studied in the open

Position

Ideological independence

Stated as commitments. They are the standard we are willing to be judged by, not a catalogue of studies already finished.

  1. 01

    Independence from communist doctrine

    We commit to independence from communist doctrine and from other political orthodoxies. A political theory may suggest a question. It does not decide which results may be reported.

  2. 02

    Evidence before political convenience

    We commit to reporting what the measurements support, including null results, uncertain results, and results that cut against a preferred story. Political convenience is not a reason to stop the work or to soften what it found.

  3. 03

    Controversial questions stay admissible

    We commit to studying questions that political incentives often close, because a favored conclusion is already in circulation. The standard does not relax for those questions, and it does not tighten into a veto. Design, measurement, and a plain account of uncertainty apply in either case.

Coverage

What we measure

  • Politics and governance

    Vote intention, approval, issue priorities and attitudes toward government, measured on a consistent schedule so change can be read with confidence.

  • Economy and households

    Consumer sentiment, financial expectations and cost-of-living pressure, broken out by the groups that experience them differently.

  • Society and institutions

    Trust, civic life, community and the values that shape them. Long-running series, asked the same way each time.

  • Reputation and policy

    How the public regards organizations, sectors and proposals, including the arguments that move opinion and the ones that do not.

Sample findings

How we report results

The studies below are illustrative. Their figures are sample data, prepared to show the form our reporting takes: a clear finding, the question as asked, and the sample, dates and margin of error beside every chart. They are not results from actual surveys.

01/Institutions

Illustrative sample data

Confidence in national institutions remains uneven

Local institutions continue to command more confidence than national ones. Small-business owners and the military lead; Congress and national news organizations trail by a wide margin.

Confidence in national institutions remains uneven
Institution2026 (%)2025 (%)
Small businesses6870
The military6163
Local government4744
Public schools3938
The Supreme Court3336
Large corporations2221
National news organizations1820
Congress1112
2026, great deal / quite a lot (%)2025 reading
Question wording: “How much confidence do you have in each of the following: a great deal, quite a lot, some, or very little?”
Population
U.S. adults
Sample
n = 2,412
Fieldwork
Sept. 8–21, 2026
Margin of error
±2.3 points
Mode
Probability-based online panel

02/Economy

Illustrative sample data

Younger adults are the least optimistic about the year ahead

Expectations for personal finances divide sharply by age. Adults under 30 are nearly twice as likely as those 65 and older to expect their situation to worsen.

Younger adults are the least optimistic about the year ahead
GroupBetter (%)About the same (%)Worse (%)
All adults314227
Ages 18–29293437
Ages 30–49353827
Ages 50–64304624
Ages 65+245719
BetterAbout the sameWorseFigures may not sum to 100 due to rounding.
Question wording: “Twelve months from now, do you expect your household’s financial situation to be better, about the same, or worse than it is today?”
Population
U.S. adults
Sample
n = 3,086
Fieldwork
Oct. 1–12, 2026
Margin of error
±2.0 points (total sample)
Mode
Mixed mode: online panel and live telephone

03/Tracking

Illustrative sample data

Sentiment about the country’s direction, eight quarters

The share saying the country is headed in the right direction has moved within a narrow band, rising modestly through mid-2026 before easing this autumn.

Sentiment about the country’s direction, eight quarters
QuarterRight direction (%)
Q4 ’2427
Q1 ’2529
Q2 ’2528
Q3 ’2531
Q4 ’2533
Q1 ’2634
Q2 ’2636
Q3 ’2632
Right direction (%)Approximate margin of error
Question wording: “Generally speaking, would you say things in this country are headed in the right direction, or are they off on the wrong track?”
Population
U.S. adults
Sample
n = ≈2,000 per wave
Fieldwork
Quarterly, Q4 2024 – Q3 2026
Margin of error
±2.2 to ±2.6 points per wave
Mode
Probability-based online panel

Methodology

Standards we commit to

We commit to methods a reader can examine. The sample and the weights are stated. Uncertainty travels with the estimate. The calculation can be reproduced. When we are wrong, the correction is public and the original claim stays visible. Where a release has not yet met that standard, we will say so.

Evidence
Before political convenience
Uncertainty
Stated with every estimate
Correction
Public when we are wrong
  1. 01

    Sampling

    We commit to probability-based samples drawn from address-based and random-digit frames, supplemented by vetted online panels only where the design calls for it, and to naming that frame in the release.

  2. 02

    Weighting

    We commit to weighting to stated population benchmarks for age, sex, education, race and ethnicity, region and, where relevant, past vote, and to publishing those variables.

  3. 03

    Uncertainty

    We commit to margins of error that account for the design effect of weighting. Subgroup estimates carry their own, wider, intervals.

  4. 04

    Disclosure

    We commit to stating, with each release, its sponsor, population, field dates, mode, sample size, weighting variables, margin of error, and full question wording.

  5. 05

    Reproducibility

    We commit to publishing enough of the design, questionnaire, and analysis that a competent reader can reproduce the reported figures.

  6. 06

    Corrections

    We commit to correcting errors in public, with the original claim left visible and the change dated.

Production

Human review, against the slop factory

Comparable research operations have become slop factories: mass-produced unreviewed material, generated as if volume were a method.

Wit Research uses AI models. Every AI output receives thorough human review before publication.

Clients

Who we work with

We conduct custom studies and long-term tracking programs for organizations whose decisions depend on an honest reading of the evidence. A client may commission the question. We commit to this boundary: the client does not select the result. Engagements are confidential unless a client elects to publish.

  • Public agencies
  • Foundations and nonprofits
  • News organizations
  • Universities and think tanks
  • Corporate leadership
  • Associations and coalitions

Join Wit

Wit Research membership is exclusive and discretionary. Additionally, in order to promote rational thought and limit emotional bias within the organization, only male applicants are considered.

Apply for Wit Membership