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Republican · Governor of Louisiana

Portrait of Jeff Landry, rendered as a two-tone print
Official portrait
2.7×
the Republican governor rate of personal attacks

2.3% of 516 statements contain a personal attack (12 statements); the average for Republican governors is 0.9%. Ranks 2nd of 22, where 1st is the highest rate.

An AI model reads each of Landry’s posts on X and marks whether it attacks a person’s character, integrity or loyalty. The rate is the share of statements marked; it is compared with the average among Republican governors and ranked against the same group.

At a glance

6 measures against Republican governors. Landry sits at +1.06 on the CSIP scale, more conservative than 86% of Republican governors. 2.9% of Landry’s statements criticize a policy, in the bottom half of Republican governors (average 4.4%).

The measures on which Landry 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.

Personal attacks

2.3%

Republican governors average 0.9% · ranks 2nd of 22

CSIP ideology

+1.06

More conservative than 86% of Republican governors · ± 0.07

Policy criticism

2.9%

Republican governors average 4.4% · ranks 15th of 22

Policy discussion

32%

Republican governors average 40% · ranks 15th of 22

Bipartisanship

0.8%

Republican governors average 2.7% · ranks 15th of 22

Credit claiming

27%

Republican governors average 29% · ranks 13th of 22

Peer group: Republican governors. Rank 1 is the highest value in the group; the thick bar is Landry, the thin grey bar the peer average. The headline is the measure on which Landry is most unusual among peers (Methods, §08).

Back to topNext: What politicians say

What Landry says

Landry stresses bipartisanship less than 63% of Republican governors. Bipartisanship in 0.8% of 516 statements, against 2.7% for the average Republican governor; 15th of 22.

An AI model reads each of Landry’s 516 statements in the current term (516 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%
Landry
Peers
Rank
Policy discussion165 statements
32%
40%
15th of 22
Credit claiming140 statements
27%
29%
13th of 22
Policy criticism15 statements
3%
4%
15th of 22
Personal attacks12 statements
2%
1%
2nd of 22
Bipartisanship4 statements
1%
3%
15th of 22
Show the data
Landry's share of statements in each category against the Republican governors average.
RowLandryPeers
Policy discussion32%40%
Credit claiming27%29%
Policy criticism3%4%
Personal attacks2%1%
Bipartisanship1%3%
516

statements classified

516 posts on X.

posts on X: 516 (100.0%)posts on X 516
Show the data
Landry's statements by source
PartValue
posts on X516
How to read the bars

The thick bar is Landry; the thin grey bar is the average Republican governors. A longer thick bar means Landry does this more than peers. Rank 1 is the highest rate in the group.

Extreme labels

Landry used extreme labels in 1.6% of statements, close to the peer average. 8 statements, most often aimed at MAHA movement; peers 1.7%.

  1. “MAGA”1

Who gets the labels

Targets named alongside an extreme label, by number of statements

  1. MAHA movement2
  2. Donald Trump1
  3. Julia Letlow1
  4. Katharine MacGregor1
  5. MAGA1
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

Statements2025-01: 472025-02: 272025-03: 352025-04: 442025-05: 352025-06: 262025-07: 332025-08: 212025-09: 172025-10: 262025-11: 92025-12: 172026-01: 322026-02: 202026-03: 122026-04: 142026-05: 212026-06: 182026-07: 202026-08: 132026-09: 162026-10: 13peak 47 · Jan ’25Personal attackspeak 15.4% · Oct ’25 · latest 0.0%Personal attacks, 2025-01: 2.1% of 47Personal attacks, 2025-02: 0.0% of 27Personal attacks, 2025-03: 0.0% of 35Personal attacks, 2025-04: 0.0% of 44Personal attacks, 2025-05: 2.9% of 35Personal attacks, 2025-06: 0.0% of 26Personal attacks, 2025-07: 3.0% of 33Personal attacks, 2025-08: 0.0% of 21Personal attacks, 2025-09: 0.0% of 17Personal attacks, 2025-10: 15.4% of 26Personal attacks, 2025-11: not plotted (fewer than 10 statements)Personal attacks, 2025-12: 0.0% of 17Personal attacks, 2026-01: 0.0% of 32Personal attacks, 2026-02: 0.0% of 20Personal attacks, 2026-03: 8.3% of 12Personal attacks, 2026-04: 0.0% of 14Personal attacks, 2026-05: 9.5% of 21Personal attacks, 2026-06: 5.6% of 18Personal attacks, 2026-07: 5.0% of 20Personal attacks, 2026-08: 0.0% of 13Personal attacks, 2026-09: 0.0% of 16Personal attacks, 2026-10: 0.0% of 13Policy criticismpeak 9.5% · Aug ’25 · latest 0.0%Policy criticism, 2025-01: 4.3% of 47Policy criticism, 2025-02: 0.0% of 27Policy criticism, 2025-03: 0.0% of 35Policy criticism, 2025-04: 6.8% of 44Policy criticism, 2025-05: 2.9% of 35Policy criticism, 2025-06: 3.9% of 26Policy criticism, 2025-07: 0.0% of 33Policy criticism, 2025-08: 9.5% of 21Policy criticism, 2025-09: 0.0% of 17Policy criticism, 2025-10: 7.7% of 26Policy criticism, 2025-11: not plotted (fewer than 10 statements)Policy criticism, 2025-12: 0.0% of 17Policy criticism, 2026-01: 0.0% of 32Policy criticism, 2026-02: 5.0% of 20Policy criticism, 2026-03: 8.3% of 12Policy criticism, 2026-04: 7.1% of 14Policy criticism, 2026-05: 0.0% of 21Policy criticism, 2026-06: 0.0% of 18Policy criticism, 2026-07: 0.0% of 20Policy criticism, 2026-08: 0.0% of 13Policy criticism, 2026-09: 0.0% of 16Policy criticism, 2026-10: 0.0% of 13Policy discussionpeak 56.3% · Sep ’26 · latest 46.2%Policy discussion, 2025-01: 23.4% of 47Policy discussion, 2025-02: 14.8% of 27Policy discussion, 2025-03: 31.4% of 35Policy discussion, 2025-04: 29.5% of 44Policy discussion, 2025-05: 31.4% of 35Policy discussion, 2025-06: 23.1% of 26Policy discussion, 2025-07: 45.5% of 33Policy discussion, 2025-08: 28.6% of 21Policy discussion, 2025-09: 35.3% of 17Policy discussion, 2025-10: 23.1% of 26Policy discussion, 2025-11: not plotted (fewer than 10 statements)Policy discussion, 2025-12: 47.1% of 17Policy discussion, 2026-01: 43.8% of 32Policy discussion, 2026-02: 40.0% of 20Policy discussion, 2026-03: 8.3% of 12Policy discussion, 2026-04: 21.4% of 14Policy discussion, 2026-05: 23.8% of 21Policy discussion, 2026-06: 33.3% of 18Policy discussion, 2026-07: 40.0% of 20Policy discussion, 2026-08: 38.5% of 13Policy discussion, 2026-09: 56.3% of 16Policy discussion, 2026-10: 46.2% of 13Bipartisanshippeak 5.9% · Dec ’25 · latest 0.0%Bipartisanship, 2025-01: 0.0% of 47Bipartisanship, 2025-02: 0.0% of 27Bipartisanship, 2025-03: 0.0% of 35Bipartisanship, 2025-04: 2.3% of 44Bipartisanship, 2025-05: 0.0% of 35Bipartisanship, 2025-06: 0.0% of 26Bipartisanship, 2025-07: 0.0% of 33Bipartisanship, 2025-08: 4.8% of 21Bipartisanship, 2025-09: 0.0% of 17Bipartisanship, 2025-10: 0.0% of 26Bipartisanship, 2025-11: not plotted (fewer than 10 statements)Bipartisanship, 2025-12: 5.9% of 17Bipartisanship, 2026-01: 0.0% of 32Bipartisanship, 2026-02: 0.0% of 20Bipartisanship, 2026-03: 0.0% of 12Bipartisanship, 2026-04: 0.0% of 14Bipartisanship, 2026-05: 0.0% of 21Bipartisanship, 2026-06: 0.0% of 18Bipartisanship, 2026-07: 5.0% of 20Bipartisanship, 2026-08: 0.0% of 13Bipartisanship, 2026-09: 0.0% of 16Bipartisanship, 2026-10: 0.0% of 13Credit claimingpeak 46.2% · Aug ’26 · latest 30.8%Credit claiming, 2025-01: 12.8% of 47Credit claiming, 2025-02: 22.2% of 27Credit claiming, 2025-03: 22.9% of 35Credit claiming, 2025-04: 27.3% of 44Credit claiming, 2025-05: 31.4% of 35Credit claiming, 2025-06: 23.1% of 26Credit claiming, 2025-07: 42.4% of 33Credit claiming, 2025-08: 33.3% of 21Credit claiming, 2025-09: 29.4% of 17Credit claiming, 2025-10: 19.2% of 26Credit claiming, 2025-11: not plotted (fewer than 10 statements)Credit claiming, 2025-12: 29.4% of 17Credit claiming, 2026-01: 40.6% of 32Credit claiming, 2026-02: 30.0% of 20Credit claiming, 2026-03: 16.7% of 12Credit claiming, 2026-04: 14.3% of 14Credit claiming, 2026-05: 23.8% of 21Credit claiming, 2026-06: 33.3% of 18Credit claiming, 2026-07: 5.0% of 20Credit claiming, 2026-08: 46.2% of 13Credit claiming, 2026-09: 43.8% of 16Credit claiming, 2026-10: 30.8% of 13Extreme labelspeak 4.8% · Aug ’25 · latest 0.0%Extreme labels, 2025-01: 4.3% of 47Extreme labels, 2025-02: 0.0% of 27Extreme labels, 2025-03: 0.0% of 35Extreme labels, 2025-04: 0.0% of 44Extreme labels, 2025-05: 2.9% of 35Extreme labels, 2025-06: 3.9% of 26Extreme labels, 2025-07: 0.0% of 33Extreme labels, 2025-08: 4.8% of 21Extreme labels, 2025-09: 0.0% of 17Extreme labels, 2025-10: 0.0% of 26Extreme labels, 2025-11: not plotted (fewer than 10 statements)Extreme labels, 2025-12: 0.0% of 17Extreme labels, 2026-01: 3.1% of 32Extreme labels, 2026-02: 0.0% of 20Extreme labels, 2026-03: 0.0% of 12Extreme labels, 2026-04: 0.0% of 14Extreme labels, 2026-05: 4.8% of 21Extreme labels, 2026-06: 0.0% of 18Extreme labels, 2026-07: 0.0% of 20Extreme labels, 2026-08: 0.0% of 13Extreme labels, 2026-09: 0.0% of 16Extreme labels, 2026-10: 0.0% of 13Jan ’25Jul ’25Jan ’26Jul ’26Oct ’26
Show the data
Monthly rates for Landry, each row shaded against its own peak, with statement volume. Months with fewer than 10 statements are left blank.
ColumnStatementsPersonal attacksPolicy criticismPolicy discussionBipartisanshipCredit claimingExtreme labels
Jan ’25472.1%4.3%23.4%0.0%12.8%4.3%
Feb ’25270.0%0.0%14.8%0.0%22.2%0.0%
Mar ’25350.0%0.0%31.4%0.0%22.9%0.0%
Apr ’25440.0%6.8%29.5%2.3%27.3%0.0%
May ’25352.9%2.9%31.4%0.0%31.4%2.9%
Jun ’25260.0%3.9%23.1%0.0%23.1%3.9%
Jul ’25333.0%0.0%45.5%0.0%42.4%0.0%
Aug ’25210.0%9.5%28.6%4.8%33.3%4.8%
Sep ’25170.0%0.0%35.3%0.0%29.4%0.0%
Oct ’252615.4%7.7%23.1%0.0%19.2%0.0%
Nov ’259— (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 ’25170.0%0.0%47.1%5.9%29.4%0.0%
Jan ’26320.0%0.0%43.8%0.0%40.6%3.1%
Feb ’26200.0%5.0%40.0%0.0%30.0%0.0%
Mar ’26128.3%8.3%8.3%0.0%16.7%0.0%
Apr ’26140.0%7.1%21.4%0.0%14.3%0.0%
May ’26219.5%0.0%23.8%0.0%23.8%4.8%
Jun ’26185.6%0.0%33.3%0.0%33.3%0.0%
Jul ’26205.0%0.0%40.0%5.0%5.0%0.0%
Aug ’26130.0%0.0%38.5%0.0%46.2%0.0%
Sep ’26160.0%0.0%56.3%0.0%43.8%0.0%
Oct ’26130.0%0.0%46.2%0.0%30.8%0.0%
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%. One month is hatched here.

In Landry’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.

Jul 24, 2026 · Posts on X (governors) · personal attacks; policy discussion; Emergency Management; Economics and Public Finance; Transportation and Public Works; target: Mitch Landrieu · Source

Bipartisanship

The text of this post is on X; follow the source link to read it.

Jul 6, 2026 · Posts on X (governors) · policy discussion; bipartisanship; credit claiming; Armed Forces and National Security · Source

Extreme label

The text of this post is on X; follow the source link to read it.

May 17, 2026 · Posts on X (governors) · credit claiming; extreme label “MAGA” aimed at Julia Letlow · Source

Examples by category

Up to five recent statements in each category

Category

Overtly questions a named person’s character, integrity or loyalty, or calls them names. Criticising a record or a policy does not count.

  1. Posts on X (governors)

    The text of this post is on X; follow the source link to read it.

    personal attacks · policy discussion · Emergency Management · Economics and Public Finance · Transportation and Public Works · target: Mitch LandrieuSource

  2. Posts on X (governors)

    The text of this post is on X; follow the source link to read it.

    personal attacksSource

  3. Posts on X (governors)

    The text of this post is on X; follow the source link to read it.

    personal attacks · target: FlemingSource

  4. Posts on X (governors)

    The text of this post is on X; follow the source link to read it.

    personal attacks · target: certain news outletsSource

  5. Posts on X (governors)

    The text of this post is on X; follow the source link to read it.

    personal attacks · target: DC swampSource

All 516 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: 516 posts on X.

Back to topNext: Policy

Policy

Crime and Law Enforcement is what Landry talks about most: 14% of policy statements, above the peer share. Peers give it 11%.

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 Landry talks about. The bills Landry sponsors and cosponsors carry the same areas, so the two can be compared.

What Landry talks about

Share of policy statements by area, the current term

0%35%
Landry
Peers
Crime and Law Enforcement23 statements
14%
11%
Economics and Public Finance23 statements
14%
19%
Armed Forces and National Security18 statements
11%
5%
Education18 statements
11%
18%
Energy16 statements
10%
7%
Show the data
Policy areas Landry talks about, as a share of policy statements, against the Republican governors average.
RowLandryPeers
Crime and Law Enforcement14%11%
Economics and Public Finance14%19%
Armed Forces and National Security11%5%
Education11%18%
Energy10%7%
How to read the bars

The thick bar is the share of Landry’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 Landry legislates on exactly the areas Landry 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 Landry sponsored count fully, cosponsored bills a quarter. Shown with at least 20 policy statements and 5 bills.

Back to topNext: Ideology

Ideology

Landry sits at +1.06 on the CSIP scale, right of 0, more conservative than 86% of Republican governors. Approximate range +0.99 to +1.13, which understates the uncertainty; from 13,243 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”.

+1.06

CSIP ideal point

Approximate range +0.99 to +1.13. From 13,243 donors and no roll calls. Run 2026-10-25T215945. Blue is left of 0, red right of 0.

← More liberalMore conservative →0Landry +1.1Republican governors +0.7Governors +0.4

The outlined dot is Landry, 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 Landry’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 Landry sits

Every official in each group, on the CSIP scale

−2.0−1.00.0+1.0+2.0← More liberalMore conservative →Republican governorsmedian +0.7Landry +1.1Governorsmedian +0.4
Show the data
Landry's CSIP score of +1.06 placed against Republican governors, Governors.
GroupOfficialsMedianShare left of Landry
Republican governors25+0.784%
Governors48+0.492%
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 Landry 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 Landry.

Back to topNext: Money

Money

No campaign-finance data.No campaign-finance records are matched to this governor yet.

Back to topNext: Votes

Votes

No roll-call votes for the current term.Governors do not cast roll-call votes.

Back to topNext: Legislation

Legislation

No bills for the current term.Governors do not sponsor bills.

Back to topNext: Online

Online

The lab crawls Landry’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 Landry 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 Landry posted

No images from Landry’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.

Back to topNext: Methods and sources

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 Landry 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. The wording always names the direction (“in the bottom 5% of …”, “votes against the majority of …”).

Identifiers

Profile id
gov-LA-jeff-landry
Governor id
LA-jeff-landry

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

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