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Democrat · Governor of Rhode Island

Portrait of Daniel McKee, rendered as a two-tone print
Official portrait
98%
of Democratic governors score to the left of McKee on the CSIP scale

CSIP score +0.07 (approximate range +0.02 to +0.11, which understates the uncertainty); negative is left of the scale’s centre, positive right. From 4,312 donors and no roll calls.

CSIP places every official on one left–right scale estimated from roll-call votes, campaign donations and the text of statements; 0 is the centre of the scale, not a definition of moderate. The share says where McKee sits among Democratic governors, not how far from the centre.

At a glance

1 measure against Democratic governors. McKee sits at +0.07 on the CSIP scale, more conservative than 98% of Democratic governors.

The measures on which McKee sits furthest from the middle of Democratic 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

+0.07

More conservative than 98% of Democratic governors · ± 0.05

Statements

147

147 posts on X

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

Back to topNext: What politicians say

What McKee says

McKee stresses bipartisanship less than any other Democratic governor. Bipartisanship in 0% of 147 statements, against 3.7% for the average Democratic governor; 21st of 21.

An AI model reads each of McKee’s 147 statements in the current term (147 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 Democratic governors and ranked among them.

Kinds of statement

Share of statements carrying each label, the current term

0%80%
McKee
Peers
Rank
Policy discussion70 statements
48%
49%
11th of 21
Credit claiming42 statements
29%
26%
10th of 21
Personal attacks8 statements
5%
4%
6th of 21
Policy criticism5 statements
3%
14%
20th of 21
Bipartisanship0 statements
0%
4%
21st of 21
Show the data
McKee's share of statements in each category against the Democratic governors average.
RowMcKeePeers
Policy discussion48%49%
Credit claiming29%26%
Personal attacks5%4%
Policy criticism3%14%
Bipartisanship0%4%
147

statements classified

147 posts on X.

posts on X: 147 (100.0%)posts on X 147
Show the data
McKee's statements by source
PartValue
posts on X147
How to read the bars

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

Extreme labels

McKee used no extreme labels in 147 statements. The peer average is 1.7%.

No extreme labels in this window.

Who gets the labels

Targets named alongside an extreme label, by number of statements

No targets recorded.

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: 02025-02: 02025-03: 12025-04: 02025-05: 02025-06: 02025-07: 02025-08: 02025-09: 02025-10: 02025-11: 02025-12: 02026-01: 02026-02: 02026-03: 02026-04: 12026-05: 22026-06: 152026-07: 462026-08: 462026-09: 362026-10: 0peak 46 · Jul ’26Personal attackspeak 10.9% · Jul ’26 · latest 0.0%Personal attacks, 2025-01: not plotted (fewer than 10 statements)Personal attacks, 2025-02: not plotted (fewer than 10 statements)Personal attacks, 2025-03: not plotted (fewer than 10 statements)Personal attacks, 2025-04: not plotted (fewer than 10 statements)Personal attacks, 2025-05: not plotted (fewer than 10 statements)Personal attacks, 2025-06: not plotted (fewer than 10 statements)Personal attacks, 2025-07: not plotted (fewer than 10 statements)Personal attacks, 2025-08: not plotted (fewer than 10 statements)Personal attacks, 2025-09: not plotted (fewer than 10 statements)Personal attacks, 2025-10: not plotted (fewer than 10 statements)Personal attacks, 2025-11: not plotted (fewer than 10 statements)Personal attacks, 2025-12: not plotted (fewer than 10 statements)Personal attacks, 2026-01: not plotted (fewer than 10 statements)Personal attacks, 2026-02: not plotted (fewer than 10 statements)Personal attacks, 2026-03: not plotted (fewer than 10 statements)Personal attacks, 2026-04: not plotted (fewer than 10 statements)Personal attacks, 2026-05: not plotted (fewer than 10 statements)Personal attacks, 2026-06: 0.0% of 15Personal attacks, 2026-07: 10.9% of 46Personal attacks, 2026-08: 6.5% of 46Personal attacks, 2026-09: 0.0% of 36Personal attacks, 2026-10: not plotted (fewer than 10 statements)Policy criticismpeak 13.3% · Jun ’26 · latest 0.0%Policy criticism, 2025-01: not plotted (fewer than 10 statements)Policy criticism, 2025-02: not plotted (fewer than 10 statements)Policy criticism, 2025-03: not plotted (fewer than 10 statements)Policy criticism, 2025-04: not plotted (fewer than 10 statements)Policy criticism, 2025-05: not plotted (fewer than 10 statements)Policy criticism, 2025-06: not plotted (fewer than 10 statements)Policy criticism, 2025-07: not plotted (fewer than 10 statements)Policy criticism, 2025-08: not plotted (fewer than 10 statements)Policy criticism, 2025-09: not plotted (fewer than 10 statements)Policy criticism, 2025-10: not plotted (fewer than 10 statements)Policy criticism, 2025-11: not plotted (fewer than 10 statements)Policy criticism, 2025-12: not plotted (fewer than 10 statements)Policy criticism, 2026-01: not plotted (fewer than 10 statements)Policy criticism, 2026-02: not plotted (fewer than 10 statements)Policy criticism, 2026-03: not plotted (fewer than 10 statements)Policy criticism, 2026-04: not plotted (fewer than 10 statements)Policy criticism, 2026-05: not plotted (fewer than 10 statements)Policy criticism, 2026-06: 13.3% of 15Policy criticism, 2026-07: 4.3% of 46Policy criticism, 2026-08: 0.0% of 46Policy criticism, 2026-09: 0.0% of 36Policy criticism, 2026-10: not plotted (fewer than 10 statements)Policy discussionpeak 54.4% · Aug ’26 · latest 38.9%Policy discussion, 2025-01: not plotted (fewer than 10 statements)Policy discussion, 2025-02: not plotted (fewer than 10 statements)Policy discussion, 2025-03: not plotted (fewer than 10 statements)Policy discussion, 2025-04: not plotted (fewer than 10 statements)Policy discussion, 2025-05: not plotted (fewer than 10 statements)Policy discussion, 2025-06: not plotted (fewer than 10 statements)Policy discussion, 2025-07: not plotted (fewer than 10 statements)Policy discussion, 2025-08: not plotted (fewer than 10 statements)Policy discussion, 2025-09: not plotted (fewer than 10 statements)Policy discussion, 2025-10: not plotted (fewer than 10 statements)Policy discussion, 2025-11: not plotted (fewer than 10 statements)Policy discussion, 2025-12: not plotted (fewer than 10 statements)Policy discussion, 2026-01: not plotted (fewer than 10 statements)Policy discussion, 2026-02: not plotted (fewer than 10 statements)Policy discussion, 2026-03: not plotted (fewer than 10 statements)Policy discussion, 2026-04: not plotted (fewer than 10 statements)Policy discussion, 2026-05: not plotted (fewer than 10 statements)Policy discussion, 2026-06: 40.0% of 15Policy discussion, 2026-07: 52.2% of 46Policy discussion, 2026-08: 54.4% of 46Policy discussion, 2026-09: 38.9% of 36Policy discussion, 2026-10: not plotted (fewer than 10 statements)Bipartisanshippeak 0.0% · Jun ’26 · latest 0.0%Bipartisanship, 2025-01: not plotted (fewer than 10 statements)Bipartisanship, 2025-02: not plotted (fewer than 10 statements)Bipartisanship, 2025-03: not plotted (fewer than 10 statements)Bipartisanship, 2025-04: not plotted (fewer than 10 statements)Bipartisanship, 2025-05: not plotted (fewer than 10 statements)Bipartisanship, 2025-06: not plotted (fewer than 10 statements)Bipartisanship, 2025-07: not plotted (fewer than 10 statements)Bipartisanship, 2025-08: not plotted (fewer than 10 statements)Bipartisanship, 2025-09: not plotted (fewer than 10 statements)Bipartisanship, 2025-10: not plotted (fewer than 10 statements)Bipartisanship, 2025-11: not plotted (fewer than 10 statements)Bipartisanship, 2025-12: not plotted (fewer than 10 statements)Bipartisanship, 2026-01: not plotted (fewer than 10 statements)Bipartisanship, 2026-02: not plotted (fewer than 10 statements)Bipartisanship, 2026-03: not plotted (fewer than 10 statements)Bipartisanship, 2026-04: not plotted (fewer than 10 statements)Bipartisanship, 2026-05: not plotted (fewer than 10 statements)Bipartisanship, 2026-06: 0.0% of 15Bipartisanship, 2026-07: 0.0% of 46Bipartisanship, 2026-08: 0.0% of 46Bipartisanship, 2026-09: 0.0% of 36Bipartisanship, 2026-10: not plotted (fewer than 10 statements)Credit claimingpeak 39.1% · Jul ’26 · latest 13.9%Credit claiming, 2025-01: not plotted (fewer than 10 statements)Credit claiming, 2025-02: not plotted (fewer than 10 statements)Credit claiming, 2025-03: not plotted (fewer than 10 statements)Credit claiming, 2025-04: not plotted (fewer than 10 statements)Credit claiming, 2025-05: not plotted (fewer than 10 statements)Credit claiming, 2025-06: not plotted (fewer than 10 statements)Credit claiming, 2025-07: not plotted (fewer than 10 statements)Credit claiming, 2025-08: not plotted (fewer than 10 statements)Credit claiming, 2025-09: not plotted (fewer than 10 statements)Credit claiming, 2025-10: not plotted (fewer than 10 statements)Credit claiming, 2025-11: not plotted (fewer than 10 statements)Credit claiming, 2025-12: not plotted (fewer than 10 statements)Credit claiming, 2026-01: not plotted (fewer than 10 statements)Credit claiming, 2026-02: not plotted (fewer than 10 statements)Credit claiming, 2026-03: not plotted (fewer than 10 statements)Credit claiming, 2026-04: not plotted (fewer than 10 statements)Credit claiming, 2026-05: not plotted (fewer than 10 statements)Credit claiming, 2026-06: 33.3% of 15Credit claiming, 2026-07: 39.1% of 46Credit claiming, 2026-08: 26.1% of 46Credit claiming, 2026-09: 13.9% of 36Credit claiming, 2026-10: not plotted (fewer than 10 statements)Extreme labelspeak 0.0% · Jun ’26 · latest 0.0%Extreme labels, 2025-01: not plotted (fewer than 10 statements)Extreme labels, 2025-02: not plotted (fewer than 10 statements)Extreme labels, 2025-03: not plotted (fewer than 10 statements)Extreme labels, 2025-04: not plotted (fewer than 10 statements)Extreme labels, 2025-05: not plotted (fewer than 10 statements)Extreme labels, 2025-06: not plotted (fewer than 10 statements)Extreme labels, 2025-07: not plotted (fewer than 10 statements)Extreme labels, 2025-08: not plotted (fewer than 10 statements)Extreme labels, 2025-09: not plotted (fewer than 10 statements)Extreme labels, 2025-10: not plotted (fewer than 10 statements)Extreme labels, 2025-11: not plotted (fewer than 10 statements)Extreme labels, 2025-12: not plotted (fewer than 10 statements)Extreme labels, 2026-01: not plotted (fewer than 10 statements)Extreme labels, 2026-02: not plotted (fewer than 10 statements)Extreme labels, 2026-03: not plotted (fewer than 10 statements)Extreme labels, 2026-04: not plotted (fewer than 10 statements)Extreme labels, 2026-05: not plotted (fewer than 10 statements)Extreme labels, 2026-06: 0.0% of 15Extreme labels, 2026-07: 0.0% of 46Extreme labels, 2026-08: 0.0% of 46Extreme labels, 2026-09: 0.0% of 36Extreme labels, 2026-10: not plotted (fewer than 10 statements)Jan ’25Jul ’25Jan ’26Jul ’26Oct ’26
Show the data
Monthly rates for McKee, 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 ’250— (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 ’250— (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 ’251— (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 ’250— (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 ’250— (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 ’250— (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 ’250— (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 ’250— (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 ’250— (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 ’250— (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 ’250— (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 ’250— (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 ’260— (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 ’260— (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 ’260— (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 ’261— (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 ’262— (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 ’26150.0%13.3%40.0%0.0%33.3%0.0%
Jul ’264610.9%4.3%52.2%0.0%39.1%0.0%
Aug ’26466.5%0.0%54.4%0.0%26.1%0.0%
Sep ’26360.0%0.0%38.9%0.0%13.9%0.0%
Oct ’260— (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%. 18 months are hatched here; 15 of them have no statements.

In McKee’s words

Real statements from the classifier’s example set, with the labels it assigned

Credit claiming

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

Sep 9, 2026 · Posts on X (governors) · credit claiming · Source

Personal attacks

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

Aug 26, 2026 · Posts on X (governors) · personal attacks; policy discussion; Economics and Public Finance; Commerce; target: Helena Foulkes · Source

Policy criticism

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

Jul 22, 2026 · Posts on X (governors) · policy criticism; policy discussion; credit claiming; Health · 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 · Economics and Public Finance · Commerce · target: Helena FoulkesSource

  2. Posts on X (governors)

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

    personal attacks · policy discussion · Government Operations and Politics · target: Helena FoulkesSource

  3. Posts on X (governors)

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

    personal attacks · policy discussion · Health · target: Helena FoulkesSource

  4. Posts on X (governors)

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

    personal attacks · policy discussion · Health · target: Helena FoulkesSource

  5. Posts on X (governors)

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

    personal attacks · policy discussion · Health · Crime and Law Enforcement · target: Helena FoulkesSource

All 147 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: 147 posts on X.

Back to topNext: Policy

Policy

Government Operations and Politics is what McKee talks about most: 30% of policy statements, 1.8 times the peer share. Peers give it 17%.

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

What McKee talks about

Share of policy statements by area, the current term

0%35%
McKee
Peers
Government Operations and Politics21 statements
30%
17%
Health19 statements
27%
21%
Labor and Employment18 statements
26%
7%
Economics and Public Finance12 statements
17%
20%
Families7 statements
10%
4%
Show the data
Policy areas McKee talks about, as a share of policy statements, against the Democratic governors average.
RowMcKeePeers
Government Operations and Politics30%17%
Health27%21%
Labor and Employment26%7%
Economics and Public Finance17%20%
Families10%4%
How to read the bars

The thick bar is the share of McKee’s policy statements in an area; the thin grey bar is the average share for Democratic 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 Democratic 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 McKee legislates on exactly the areas McKee 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 McKee sponsored count fully, cosponsored bills a quarter. Shown with at least 20 policy statements and 5 bills.

Back to topNext: Ideology

Ideology

McKee sits at +0.07 on the CSIP scale, right of 0, more conservative than 98% of Democratic governors. Approximate range +0.02 to +0.11, which understates the uncertainty; from 4,312 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”.

+0.07

CSIP ideal point

Approximate range +0.02 to +0.11. From 4,312 donors and no roll calls. Run 2026-10-25T215945. Blue is left of 0, red right of 0.

← More liberalMore conservative →0McKee +0.1Democratic governors −0.8Governors +0.4

The outlined dot is McKee, 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 McKee’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 McKee sits

Every official in each group, on the CSIP scale

−2.0−1.00.0+1.0+2.0← More liberalMore conservative →Democratic governorsmedian −0.8McKee +0.1Governorsmedian +0.4
Show the data
McKee's CSIP score of +0.07 placed against Democratic governors, Governors.
GroupOfficialsMedianShare left of McKee
Democratic governors23−0.896%
Governors48+0.446%
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 McKee 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 McKee.

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 McKee’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 McKee 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 McKee posted

No images from McKee’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 McKee is most unusual among Democratic 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-RI-daniel-mckee
Governor id
RI-daniel-mckee

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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