Credit claiming
The text of this post is on X; follow the source link to read it.
Apr 10, 2025 · Posts on X (governors) · credit claiming · Source
44
statements classified
44 posts on X in the current term. No measure in the current term stands far from the peer average.
Every post, press release, newsletter and floor speech the lab collected and ran through its classifier.
At a glance
1 measure against Republican governors. Stitt sits at +0.67 on the CSIP scale, more liberal than 66% of Republican governors.
The measures on which Stitt sits furthest from the middle of Republican governors, each against the same group, with the CSIP score when there is one. Every number is explained in its own section below.
CSIP ideology
+0.67
More liberal than 66% of Republican governors · ± 0.07
Statements
44
44 posts on X
Peer group: Republican governors. Rank 1 is the highest value in the group; the thick bar is Stitt, the thin grey bar the peer average. The headline is the measure on which Stitt is most unusual among peers (Methods, §08).
What Stitt says
Stitt stresses bipartisanship less than 84% of Republican governors. Bipartisanship in 0% of 44 statements, against 2.7% for the average Republican governor; 20th of 22.
An AI model reads each of Stitt’s 44 statements in the current term (44 posts on X) and marks the kinds of statement it contains: a personal attack, criticism of a policy, discussion of policy, bipartisanship, credit claiming, and extreme labels. A statement can carry several. Every rate is compared with the average for Republican governors and ranked among them.
Kinds of statement
Share of statements carrying each label, the current term
0%80%
Stitt
Peers
Rank
Policy discussion10 statements
23%
40%
19th of 22
Credit claiming6 statements
14%
29%
19th of 22
Policy criticism2 statements
5%
4%
10th of 22
Personal attacks1 statements
2%
1%
3rd of 22
Bipartisanship0 statements
0%
3%
20th of 22
Show the data
| Row | Stitt | Peers |
|---|---|---|
| Policy discussion | 23% | 40% |
| Credit claiming | 14% | 29% |
| Policy criticism | 5% | 4% |
| Personal attacks | 2% | 1% |
| Bipartisanship | 0% | 3% |
44
statements classified
44 posts on X.
Show the data
| Part | Value |
|---|---|
| posts on X | 44 |
How to read the bars
The thick bar is Stitt; the thin grey bar is the average Republican governors. A longer thick bar means Stitt does this more than peers. Rank 1 is the highest rate in the group.
Extreme labels
Stitt used extreme labels in 2.3% of statements, above the peer average. 1 statement, most often aimed at progressive policies; peers 1.7%.
Who gets the labels
Targets named alongside an extreme label, by number of statements
- progressive policies1
What an extreme label is
Calls a politician, a party or a policy “far left”, “far right”, “MAGA”, “extreme”, “radical”, “woke”, “fascist” or “communist”. The target is who or what the label was aimed at. The lists show the five most used labels and targets; the toggle shows the rest.
Month by month
Share of statements per month, the current term
Show the data
| Column | Statements | Personal attacks | Policy criticism | Policy discussion | Bipartisanship | Credit claiming | Extreme labels |
|---|---|---|---|---|---|---|---|
| Jan ’25 | 11 | 0.0% | 18.2% | 45.5% | 0.0% | 36.4% | 9.1% |
| Feb ’25 | 4 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Mar ’25 | 5 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Apr ’25 | 5 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| May ’25 | 3 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Jun ’25 | 1 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Jul ’25 | 3 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Aug ’25 | 0 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Sep ’25 | 0 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Oct ’25 | 0 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Nov ’25 | 2 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Dec ’25 | 2 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Jan ’26 | 0 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Feb ’26 | 1 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Mar ’26 | 0 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Apr ’26 | 3 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| May ’26 | 1 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Jun ’26 | 2 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Jul ’26 | 1 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Aug ’26 | 0 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Sep ’26 | 0 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Oct ’26 | 0 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
How to read the strips
Each row is one kind of statement; each cell is a month, shaded against that row’s own peak (darker = closer to the peak), with the peak and the latest value written at the right. The top row counts statements. The strip covers every month of the current term, the same span as the rates above, including months with no statements. A month with fewer than 10 statements is hatched, not shaded: one or two posts would swing its rate to 0% or 100%. 21 months are hatched here; 8 of them have no statements.
In Stitt’s words
Real statements from the classifier’s example set, with the labels it assigned
Personal attacks
The text of this post is on X; follow the source link to read it.
Apr 30, 2025 · Posts on X (governors) · personal attacks; target: Drummond · Source
Extreme label
The text of this post is on X; follow the source link to read it.
Jan 14, 2025 · Posts on X (governors) · policy criticism; extreme label “extreme” aimed at progressive policies · Source
Examples by category
Up to five recent statements in each category
Overtly questions a named person’s character, integrity or loyalty, or calls them names. Criticising a record or a policy does not count.
Posts on X (governors)
The text of this post is on X; follow the source link to read it.
personal attacks · target: DrummondSource
All 44 statements
Newest first, the current term
The full feed
Five statements at a time, newest first; filters apply to the statements loaded so far. Export saves the statements that match. Sources: 44 posts on X.
Policy
Agriculture and Food is what Stitt talks about most: 20% of policy statements, 3.1 times the peer share. Peers give it 6.5%.
Each policy statement is tagged by the AI model with one or more of 25 policy areas from the Congressional Research Service list, so the shares say what Stitt talks about. The bills Stitt sponsors and cosponsors carry the same areas, so the two can be compared.
What Stitt talks about
Share of policy statements by area, the current term
0%35%
Stitt
Peers
Agriculture and Food2 statements
20%
6%
Economics and Public Finance2 statements
20%
19%
Government Operations and Politics2 statements
20%
12%
Civil Rights and Liberties, Minority Issues1 statements
10%
6%
Commerce1 statements
10%
6%
Show the data
| Row | Stitt | Peers |
|---|---|---|
| Agriculture and Food | 20% | 6% |
| Economics and Public Finance | 20% | 19% |
| Government Operations and Politics | 20% | 12% |
| Civil Rights and Liberties, Minority Issues | 10% | 6% |
| Commerce | 10% | 6% |
How to read the bars
The thick bar is the share of Stitt’s policy statements in an area; the thin grey bar is the average share for Republican governors. A statement counts once in each of its areas, so shares can add to more than 100%. The five largest areas are shown; the toggle shows the rest.
Talks about · legislates on
Left: share of statements by policy area. Right: share of bills. Areas in order of their share of statements; both sides run from 0 to 35%. Grey ticks are the Republican governors averages.
Governors do not sponsor bills, so there is nothing to compare.
What agreement means, and what it doesn’t
Agreement is 1 minus the distance between the two distributions (Jensen–Shannon): 1 means Stitt legislates on exactly the areas Stitt talks about, in the same proportions; 0 means no overlap. It does not say whether the bills match the positions in the statements, only the subjects. Bills Stitt sponsored count fully, cosponsored bills a quarter. Shown with at least 20 policy statements and 5 bills.
Ideology
Stitt sits at +0.67 on the CSIP scale, right of 0, more liberal than 66% of Republican governors. Approximate range +0.59 to +0.74, which understates the uncertainty; from 5,855 donors and no roll calls.
CSIP, the lab’s Common-Space Ideal Point, places every official, federal and state, on one left–right scale, estimated from roll-call votes, who gives money to whom, and the text of statements. Negative is left of 0, positive right of it; 0 is the centre of the scale, not a definition of “moderate”.
+0.67
CSIP ideal point
Approximate range +0.59 to +0.74. From 5,855 donors and no roll calls. Run 2026-10-25T215945. Blue is left of 0, red right of 0.
The outlined dot is Stitt, coloured by its side of 0 (blue left, red right, deeper further out); the bar through it is the approximate range (±1.96 standard errors), which understates the uncertainty; the grey ticks below are the medians of Stitt’s groups. 0 is the centre of the scale, not “moderate” by definition.
What this means, and what it doesn’t
The score summarises how an official votes, who funds them and how they talk, relative to everyone else. It does not grade positions as good or bad, and two officials with the same score can differ on any single issue. The ± range is 1.96 standard errors, which understates the uncertainty: scores whose ranges overlap may not differ at all, and even scores whose ranges do not overlap may not differ.
Where Stitt sits
Every official in each group, on the CSIP scale
Republican governors25 · median +0.7
Governors48 · median +0.4
Show the data
| Group | Officials | Median | Share left of Stitt |
|---|---|---|---|
| Republican governors | 25 | +0.7 | 32% |
| Governors | 48 | +0.4 | 65% |
How to read the strips
Every small dot is one official on the same scale, coloured by its own score (blue left of 0, red right of 0, grey at 0, deeper further out) and spread up and down only to keep dots apart; where a group is crowded the dots overlap, and darker patches mean more officials. The large outlined dot is Stitt in every row; the rule is each group’s median. The table under the figure gives the share of each group to the left of Stitt.
Money
No campaign-finance data.No campaign-finance records are matched to this governor yet.
Votes
No roll-call votes for the current term.Governors do not cast roll-call votes.
Legislation
No bills for the current term.Governors do not sponsor bills.
Online
The lab crawls Stitt’s official and campaign websites (weekly for Congress, monthly for the states) and keeps every page’s text, so changes can be read later; it also records social accounts and describes the images Stitt posts with a vision model.
Websites
No websites are tracked for this official.
How to read the counts
“Pages crawled” is the size of the site at the last crawl; “changes in 90 days” counts pages whose text differed from the previous crawl. Sites change for many routine reasons, such as new press releases, so a high count is not by itself notable.
Social accounts
Images Stitt posted
No images from Stitt’s posts have been described.
About the descriptions
Written by a vision model and may be wrong. Open the post to see the original. Five are shown; the toggle shows the rest.
Methods and sources
How this page was made. Profile built Oct 28, 2026; site last built Oct 28, 2026. Every number on the page is computed from the sources listed here, by the same rules for every official; nothing is written by hand.
The headline
The headline is the measure on which Stitt is most unusual among Republican governors, chosen by one rule for every official of every party. The candidates are the rate of each kind of statement and of extreme labels, party unity, attendance, the small-donor share, the in-state share and total receipts of the latest cycle, the share of sponsored bills that got out of committee, talk-to-bills agreement, and the CSIP score’s place within the party group.
The builder ranks every measure within the same peer group the page compares it with, and writes each official’s percentile: the share of the group below the value, ties counting half, so 0.5 is the median and a value shared by many never ranks first. A measure’s score is how far that percentile sits from the median (0 in the middle, 0.5 at either end), and the highest score leads if it is above 0.25, outside the middle half of the group. Scores within 0.03 of each other are a tie, broken in this order: votes against the party majority, kinds of statement, ideology, roll calls missed, small donations, in-state money, legislation, agreement, extreme labels, receipts.
A measure counts only with at least 200 statements, 100 roll calls or 5 sponsored bills behind it and a peer group of at least 10. Two things never lead: high party unity or attendance, where most members sit, and a high rate of a kind of statement backed by fewer than 10 statements. When nothing qualifies, the headline is a neutral fact instead: statements classified, or years in office. That is the case for Stitt in this window. The wording always names the direction (“in the bottom 5% of …”, “votes against the majority of …”).
Identifiers
- Profile id
- gov-OK-kevin-stitt
- Governor id
- OK-kevin-stitt
Bulk files with the same data for every official:
Freshness of this profile’s data
- What politicians sayOct 27, 20261 days agoMembers of Congress: tweets since 2017; press releases, newsletters and floor speeches since 2022. State legislators: tweets since May 2024. Governors: tweets since January 2025. Labels from an LLM classifier.
- Ideology (CSIP)Oct 25, 20263 days agoCommon-Space Ideal Points (CSIP), current validated run.
- ImagesOct 28, 2026todayImages in members' tweets with vision-model descriptions.
How the measures work
- What politicians say
- Every post, press release, newsletter and congressional floor speech is read by a language model and marked for personal attacks, policy criticism, policy discussion, bipartisanship and credit claiming. A statement can be in several. Rates are shares of statements in the window. The methods paper.
- Extreme labels
- A statement has an extreme label when it calls a politician, party or policy “far left”, “far right”, “MAGA”, “extreme”, “radical”, “woke”, “fascist” or “communist”. The target is who the label is aimed at.
- Policy areas and agreement
- Statements and bills share 25 Congressional Research Service policy areas (state bills are assigned by a language model). Agreement is 1 − Jensen–Shannon distance between the two distributions, shown with at least 20 policy statements and 5 bills.
- Ideology (CSIP)
- Common-Space Ideal Points place federal and state officials on one left–right scale, estimated jointly from roll calls, campaign contributions and the text of statements, with standard errors. Only a validated run is shown. The methods paper.
- Campaign money
- Campaigns report by name only donors who give more than $200 in a cycle; smaller gifts are reported as one total. Federal totals and the small-donor share come from the FEC’s financial summaries of each campaign committee. Donor counts, donor states, employers and occupations cover itemized donors only. State filings report no small-gift totals, so state figures are itemized only. The lab never publishes donor names.
- Votes and key votes
- Attendance, party unity and the count of votes against the majority of an official’s own party come from roll calls (Voteview for Congress, chamber records for the states). Key votes are final-passage or override votes that became law, were decided by under 10%, saw at least 10% of a party vote against its majority, or concerned one of the 25 bills most mentioned in officials’ statements.
- Peers and ranks
- Comparisons are with the same party, chamber and level (for example House Democrats); state legislators are compared within their state and chamber for votes. Every comparison names its group. Rank 1 is the highest value in the group; tied values share the average of their ranks, and the percentile is the share of the group below the value, ties counting half.
America’s Political Pulse · Polarization Research Lab