Bipartisanship
The text of this post is on X; follow the source link to read it.
Jul 27, 2026 · Posts on X (state legislators) · policy discussion; bipartisanship; Education; Science, Technology, Communications · Source
3.8%
of roll calls missed, attendance in the bottom tenth of the Virginia House
Attendance 96.1%; the average within the Virginia House is 98.2%. Ranks 91st of 98, where 1st has the highest attendance. 3,855 roll calls in the VA 2025–26 session.
Attendance is the share of the roll calls Singh could vote on where a yea, nay or present was recorded, ranked within the Virginia House. A missed vote has many causes, from illness to campaigning; the number says how often, not why.
At a glance
6 measures against State House Democrats. 42% of Singh’s itemized money in the 2026 cycle came from Virginia, in the bottom tenth of State House Democrats. 72% of the 32 bills Singh sponsored got out of committee, in the bottom tenth of the Virginia House.
The measures on which Singh sits furthest from the middle of State House Democrats, each against the same group, with the CSIP score when there is one. Every number is explained in its own section below.
Attendance
96.1%
Virginia House average 98.2% · ranks 91st of 98 · 3,855 roll calls
From Virginia, 2026
42%
Of itemized individual dollars · ranks 1847th of 1,983 State House Democrats
Out of committee
72%
Virginia House average 84% · ranks 92nd of 98
Itemized, 2026
$215.5K
State House Democrats’ median $40.4K · ranks 255th of 2,082
Bipartisanship
4.8%
State House Democrats average 2.9% · ranks 149th of 764
CSIP ideology
−0.62
Left of 0, the centre of the scale · ± 0.06
Peer group: State House Democrats. Rank 1 is the highest value in the group; the thick bar is Singh, the thin grey bar the peer average. The headline is the measure on which Singh is most unusual among peers (Methods, §08).
What Singh says
Singh attacks opponents personally less than 76% of State House Democrats. Personal attacks in 0% of 331 statements, against 2.5% for the average State House Democrat; 584th of 764.
An AI model reads each of Singh’s 331 statements in the VA 2025–26 session (331 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 State House Democrats and ranked among them.
Kinds of statement
Share of statements carrying each label, the VA 2025–26 session
0%80%
Singh
Peers
Rank
Policy discussion111 statements
34%
39%
473rd of 764
Credit claiming69 statements
21%
14%
219th of 764
Policy criticism17 statements
5%
10%
476th of 764
Bipartisanship16 statements
5%
3%
149th of 764
Personal attacks0 statements
0%
3%
584th of 764
Show the data
| Row | Singh | Peers |
|---|---|---|
| Policy discussion | 34% | 39% |
| Credit claiming | 21% | 14% |
| Policy criticism | 5% | 10% |
| Bipartisanship | 5% | 3% |
| Personal attacks | 0% | 3% |
331
statements classified
331 posts on X.
Show the data
| Part | Value |
|---|---|
| posts on X | 331 |
How to read the bars
The thick bar is Singh; the thin grey bar is the average State House Democrats. A longer thick bar means Singh does this more than peers. Rank 1 is the highest rate in the group.
Extreme labels
Singh used extreme labels in 0.3% of statements, 31% of the peer average. 1 statement; peers 1.0%.
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 VA 2025–26 session
Show the data
| Column | Statements | Personal attacks | Policy criticism | Policy discussion | Bipartisanship | Credit claiming | Extreme labels |
|---|---|---|---|---|---|---|---|
| Jan ’25 | 22 | 0.0% | 4.5% | 22.7% | 0.0% | 27.3% | 0.0% |
| Feb ’25 | 13 | 0.0% | 0.0% | 15.4% | 7.7% | 53.8% | 7.7% |
| Mar ’25 | 17 | 0.0% | 0.0% | 41.2% | 11.8% | 41.2% | 0.0% |
| Apr ’25 | 11 | 0.0% | 0.0% | 18.2% | 0.0% | 18.2% | 0.0% |
| May ’25 | 15 | 0.0% | 0.0% | 26.7% | 0.0% | 13.3% | 0.0% |
| Jun ’25 | 11 | 0.0% | 0.0% | 18.2% | 0.0% | 27.3% | 0.0% |
| Jul ’25 | 8 | — (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 | 11 | 0.0% | 9.1% | 9.1% | 0.0% | 9.1% | 0.0% |
| Sep ’25 | 12 | 0.0% | 16.7% | 41.7% | 8.3% | 33.3% | 0.0% |
| Oct ’25 | 9 | — (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 | 11 | 0.0% | 9.1% | 9.1% | 0.0% | 27.3% | 0.0% |
| Dec ’25 | 6 | — (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 | 24 | 0.0% | 0.0% | 62.5% | 0.0% | 12.5% | 0.0% |
| Feb ’26 | 41 | 0.0% | 7.3% | 36.6% | 17.1% | 29.3% | 0.0% |
| Mar ’26 | 16 | 0.0% | 0.0% | 18.8% | 6.3% | 18.8% | 0.0% |
| Apr ’26 | 24 | 0.0% | 8.3% | 41.7% | 0.0% | 16.7% | 0.0% |
| May ’26 | 8 | — (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 | 12 | 0.0% | 8.3% | 41.7% | 8.3% | 8.3% | 0.0% |
| Jul ’26 | 25 | 0.0% | 4.0% | 44.0% | 8.0% | 16.0% | 0.0% |
| Aug ’26 | 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) |
| Sep ’26 | 24 | 0.0% | 20.8% | 66.7% | 0.0% | 0.0% | 0.0% |
| Oct ’26 | 7 | — (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 VA 2025–26 session, 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%. 6 months are hatched here.
In Singh’s words
Real statements from the classifier’s example set, with the labels it assigned
Policy criticism
The text of this post is on X; follow the source link to read it.
Sep 16, 2026 · Posts on X (state legislators) · policy criticism; policy discussion; Economics and Public Finance; Foreign Trade and International Finance; International Affairs · Source
Extreme label
The text of this post is on X; follow the source link to read it.
Feb 5, 2025 · Posts on X (state legislators) · extreme label “extreme” · 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.
No statements in this category in this window.
All 331 statements
Newest first, the VA 2025–26 session
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: 331 posts on X.
Policy
Energy is what Singh talks about most: 26% of policy statements, 7.2 times the peer share. Talk and legislation agree at 0.57 on a 0–1 scale (State House Democrats average 0.54; 202nd of 503).
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 Singh talks about. The bills Singh sponsors and cosponsors carry the same areas, so the two can be compared.
What Singh talks about
Share of policy statements by area, the VA 2025–26 session
0%35%
Singh
Peers
Energy29 statements
26%
4%
Education28 statements
25%
15%
Crime and Law Enforcement19 statements
17%
8%
Transportation and Public Works18 statements
16%
5%
Economics and Public Finance12 statements
11%
11%
Show the data
| Row | Singh | Peers |
|---|---|---|
| Energy | 26% | 4% |
| Education | 25% | 15% |
| Crime and Law Enforcement | 17% | 8% |
| Transportation and Public Works | 16% | 5% |
| Economics and Public Finance | 11% | 11% |
How to read the bars
The thick bar is the share of Singh’s policy statements in an area; the thin grey bar is the average share for State House Democrats. 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 State House Democrats averages.
Show the data
| Area | Talks about | State House Democrats, talks about | Legislates on | State House Democrats, legislates on |
|---|---|---|---|---|
| Energy | 26% | 4% | 22% | 3% |
| Education | 25% | 15% | 19% | 10% |
| Crime and Law Enforcement | 17% | 8% | 9% | 9% |
| Transportation and Public Works | 16% | 5% | 5% | 5% |
| Economics and Public Finance | 11% | 11% | 1% | 2% |
0.57
talk-to-bills agreement, 0 to 1
State House Democrats average 0.54. Ranks 202nd of 503.
What agreement means, and what it doesn’t
Agreement is 1 minus the distance between the two distributions (Jensen–Shannon): 1 means Singh legislates on exactly the areas Singh 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 Singh sponsored count fully, cosponsored bills a quarter. Shown with at least 20 policy statements and 5 bills.
Ideology
Singh sits at −0.62 on the CSIP scale, left of 0, more conservative than 51% of State House Democrats. Approximate range −0.68 to −0.57, which understates the uncertainty; from 446 donors and 299 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”.
−0.62
CSIP ideal point
Approximate range −0.68 to −0.57. From 446 donors and 299 roll calls. Run 2026-10-25T215945. Blue is left of 0, red right of 0.
The outlined dot is Singh, 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 Singh’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 Singh sits
Every official in each group, on the CSIP scale
State House Democrats2,392 · median −0.6
Virginia House99 · median −0.7
All State House5,324 · median +0.1
Show the data
| Group | Officials | Median | Share left of Singh |
|---|---|---|---|
| State House Democrats | 2392 | −0.6 | 51% |
| Virginia House | 99 | −0.7 | 53% |
| All State House | 5324 | +0.1 | 23% |
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 Singh 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 Singh.
Money
Singh reported $215.5K in the 2026 cycle, 5.3 times the State House Democrats’ median of $40.4K. State filings report no small-donation total. 42% of itemized individual money came from Virginia.
Campaign money from state campaign-finance filings, as aggregates only; the lab never shows an individual donor. Campaigns must report by name every person who gives them more than $200 in a cycle (“itemized”); smaller gifts are reported only as one total (“unitemized”), so donor counts, donor states, employers and occupations describe itemized donors only. State filings report no small-gift total, so these figures add up itemized contributions only.
$215.5K
itemized in the 2026 cycle
From 258 itemized donors. State House Democrats’ median $40.4K.
Where the money came from
Each square is one percent of itemized contributions in the 2026 cycle.
- Individuals (itemized)72 squares$156.0K
- PACs and other committees18 squares$38.8K
- Party committees10 squares$20.7K
Show the data
| Source | Amount | Share |
|---|---|---|
| Individuals (itemized) | $156.0K | 72.4% |
| PACs and other committees | $38.8K | 18.0% |
| Party committees | $20.7K | 9.6% |
What this means, and what it doesn’t
Totals say how much a campaign took in, not how it was spent, and they rise sharply when a seat is up for election; compare cycles with that in mind.
Receipts by cycle
Itemized contributions, 2024 to 2026. The grey line is the State House Democrats’ median for 2026.
Show the data
| Item | Value |
|---|---|
| 2024 cycle | $304.2K |
| 2026 cycle | $215.5K |
Top donor states, 2026
Itemized contributions by donor state. 42% came from Virginia.
- Virginia$66.0K
- New York$24.6K
- California$16.2K
- Maryland$14.1K
- New Jersey$11.4K
Small donations
State filings report no total for small gifts.
Not reported in state filings.
Where itemized donors live
Individuals who gave more than $200, by donor state
Show the data
| State | Value |
|---|---|
| Virginia | $66.0K |
| New York | $24.6K |
| California | $16.2K |
| Maryland | $14.1K |
| New Jersey | $11.4K |
| District of Columbia | $8,200 |
| Georgia | $5,000 |
| Texas | $3,370 |
| Michigan | $1,450 |
| Connecticut | $1,401 |
| Pennsylvania | $1,200 |
| West Virginia | $751 |
| Illinois | $500 |
| Tennessee | $500 |
| Florida | $500 |
| Massachusetts | $417 |
| New Hampshire | $250 |
| Ohio | $250 |
| Alaska | No data |
| Maine | No data |
| Vermont | No data |
| Washington | No data |
| Idaho | No data |
| Montana | No data |
| North Dakota | No data |
| Minnesota | No data |
| Wisconsin | No data |
| Rhode Island | No data |
| Oregon | No data |
| Nevada | No data |
| Wyoming | No data |
| South Dakota | No data |
| Iowa | No data |
| Indiana | No data |
| Utah | No data |
| Colorado | No data |
| Nebraska | No data |
| Missouri | No data |
| Kentucky | No data |
| Delaware | No data |
| Arizona | No data |
| New Mexico | No data |
| Kansas | No data |
| Arkansas | No data |
| North Carolina | No data |
| South Carolina | No data |
| Oklahoma | No data |
| Louisiana | No data |
| Mississippi | No data |
| Alabama | No data |
| Hawaii | No data |
258
itemized donors
People who gave more than $200
42%
from Virginia
Of itemized individual dollars
How to read the map
Every state the same size. Darker states gave more itemized money; hatched states had no itemized donors; the outlined state is Virginia. Gifts of $200 or less carry no address and are left out.
Top donor occupations
Itemized, 2026 cycle.
- NOT EMPLOYED$29.1K 46 donors
- RETIRED$16.2K 27 donors
- FINANCIAL SERVICES$11.2K 3 donors
- CONSULTANT$6,000 15 donors
- CEO$5,750 3 donors
Top committees
PAC and committee contributions, 2026 cycle.
- DEMOCRATIC PARTY OF VIRGINIA$20.7K
- IBEW PAC VOLUNTARY FUND$3,000
- VIRGINIA TRIAL LAWYERS POLITICAL ACTION COMMITTEE$3,000
- MID-ATLANTIC LABORERS POLITICAL EDUCATION FUND$2,500
- VA SOCIETY OF ANESTHESIOLOGISTS PAC$2,500
Top employers
Itemized, 2026 cycle.
- US SENATE$1,000 3 donors
Aggregates only. Individual donors are never named.
Votes
Singh voted with the majority of Virginia House Democrats on 99.0% of party-line votes and missed 3.8% of 3,855 roll calls. Virginia House on average: 96.5% party unity, 98.2% attendance. Across all roll calls, Singh voted against the majority of Virginia House Democrats 30 times.
3,855 roll calls Singh could vote on in the VA 2025–26 session, compared with Virginia House. Attendance is the share with a vote recorded. Party unity counts only party-line roll calls, where most Democrats and most Republicans voted on opposite sides, and is the share of those where Singh voted with the majority of Virginia House Democrats. The count of votes against that majority covers every roll call where the majority took a side.
30
votes against the majority of Virginia House Democrats
Party unity 99.0%, Virginia House average 96.5%, ranks 48th of 98. 3,855 roll calls in the VA 2025–26 session.
Attendance and party unity
The thick bar is Singh, the thin grey bar the Virginia House average. The scale runs from 80% to 100% to show the gap.
80%100%
Singh
Peers
Rank
Attendance
96.1%
98.2%
91st of 98
Party unity
99.0%
96.5%
48th of 98
Show the data
| Row | Singh | Peers |
|---|---|---|
| Attendance | 96.1% | 98.2% |
| Party unity | 99.0% | 96.5% |
What this means, and what it doesn’t
A missed roll call has many causes, from illness to campaigning, so attendance says how often, not why. A vote against the majority can be on procedure as well as substance, and many fall on roll calls where both parties split; the key votes below show the ones that decided something.
Key votes
Roll calls the lab flags as key
No votes in this window met the key-vote rules.
How key votes are chosen
Automatically: a final-passage or override vote where the measure became law, the margin was under 10%, at least 10% of either party voted against its majority, or the bill was among the 25 most mentioned in officials’ own statements. Up to 25 per window, most recent first; five are shown. Bars show yea on the left, nay on the right, per party.
Votes most often with
The colleagues who voted the same way as Singh most often
- Atoosa ReaserD3,675 shared votes99%
- Mike JonesD1,467 shared votes99%
- David BulovaD1,664 shared votes99%
- Michelle MaldonadoD3,686 shared votes99%
- Rod WillettD3,679 shared votes99%
Votes least often with
The colleagues who voted the same way as Singh least often
- Karen HamiltonR2,015 shared votes52%
- Tim GriffinR3,569 shared votes53%
- Phil ScottR3,630 shared votes53%
- Eric ZehrR3,668 shared votes55%
- Tommy WrightR3,401 shared votes56%
How to read the agreement lists
The share of roll calls both members voted on where they voted the same way, among colleagues sharing at least 50 such votes. High agreement with members of the other party is common on routine votes.
Full voting record
VA 2025–26 session, loads in batches
Legislation
Singh sponsored 32 bills in the VA 2025–26 session; 12 became law. Cosponsored 122 others. 72% of sponsored bills got out of committee (Virginia House average 84%; 92nd of 98).
The bills Singh sponsored and cosponsored in the VA 2025–26 session, from the official bill records, and how far each got: introduced, referred to or acted on in committee, passed one chamber, passed both, became law. A bill counts at every stage it has reached, so the blocks only shrink to the right.
Bills by stage
Counts for the VA 2025–26 session
Show the data
| Role | Introduced | In committee | Passed one chamber | Passed both chambers | Became law |
|---|---|---|---|---|---|
| Sponsored | 32 | 32 | 20 | 15 | 12 |
| Cosponsored | 122 | 122 | 112 | 59 | 22 |
How to read the blocks
Ink blocks are bills Singh sponsored, ochre blocks bills Singh cosponsored; the figure above each block is the count. Most bills in any legislature never leave committee, so a short staircase is the norm.
72%
of sponsored bills got out of committee
Virginia House average 84%. Ranks 92nd of 98.
Cosponsorship partners
Colleagues who most often cosponsor with Singh, by number of shared bills in the VA 2025–26 session; the square shows their party.
- Atoosa Reaser28
- Marty Martinez24
- Kannan Srinivasan24
- Irene Shin23
- Kathy Tran22
What this means, and what it doesn’t
The score is the share of sponsored bills that a committee reported out or a chamber passed, with at least 5 sponsored bills, ranked within the peer group. Members of the majority party and committee chairs move more bills, so the rank reflects position in the chamber as well as effort. Cosponsorship partners are the five colleagues who share the most of Singh’s bills; the toggle shows more.
Bill list
Sponsored and cosponsored, with status and policy area; five are shown, the toggle shows the rest
| HR 2201 | Commending the Goshen Post Elementary School Presidential AI Challenge team. | Sponsor | Jun 29, 2026 | Passed one chamber | Unassigned | Bill text as passed House (HR2201ER) Jun 30, 2026 |
| HR 2185 | Commending Timmy Maness and Chelsea Spangler. | Cosponsor | Jun 22, 2026 | Passed one chamber | Unassigned | Bill text as passed House (HR2185ER) Jun 30, 2026 |
| HR 2074 | Commending Colonel James T. O'Kelley, USMCR (Ret.). | Cosponsor | Jun 3, 2026 | Passed one chamber | Unassigned | Bill text as passed House (HR2074ER) Jun 30, 2026 |
| HR 2054 | Commending the AAPI Victory Fund. | Cosponsor | Apr 23, 2026 | Passed one chamber | Unassigned | Bill text as passed House (HR2054ER) Apr 30, 2026 |
| HR 2001 | Commending Brigadier General Terrence A. Adams, USAF. | Cosponsor | Apr 22, 2026 | Passed one chamber | Unassigned | Bill text as passed House (HR2001ER) Apr 30, 2026 |
Online
A site that changed 3 times in 90 days. Singh’s official site had 1 page when last crawled on Oct 1, 2026.
The lab crawls Singh’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 Singh posts with a vision model.
Websites
- 1
pages crawled
3changes in 90 days
- 5
pages crawled
7changes in 90 days
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 Singh posted
No images from Singh’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.
State floor speeches
75 turns, Jan 27, 2025 to Jun 29, 2026
Floor speeches
Transcribed from chamber video or captions by the lab. They are not classified for kinds of statement.
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 Singh is most unusual among State House Democrats, 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
- 837c9441-c0d2-497e-80e9-955bf152831b
- Open States
- ocd-person/837c9441-c0d2-497e-80e9-955bf152831b
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.
- Roll calls (state)Oct 21, 20267 days agoOpen States floor roll calls, 2019 on (none for AK and MO).
- Bills (state)Oct 28, 2026todayOpen States bills and sponsors, 2019 on; stages from roll calls.
- Campaign money (state)no dateState campaign-finance agencies, 2019 on; aggregates only.
- Ideology (CSIP)Oct 25, 20263 days agoCommon-Space Ideal Points (CSIP), current validated run.
- WebsitesOct 25, 20263 days agoWeekly crawls of federal sites since April 2026; monthly state crawls since June 2026.
- State floor speechesOct 21, 20267 days agoState floor speech turns (published transcripts and captions), 2020 on; not LLM-classified.
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