Personal attacks
The text of this post is on X; follow the source link to read it.
Oct 20, 2026 · Posts on X (state legislators) · personal attacks; target: Vivek Ramaswamy · Source
2.8×
the State House Democrat rate of bipartisan language
8.0% of 201 statements use bipartisan language (16 statements); the average for State House Democrats is 2.9%. Ranks 59th of 764, where 1st is the highest rate.
An AI model reads each of Cockley’s posts on X and marks whether it stresses working across party lines. The rate is the share of statements marked; it is compared with the average among State House Democrats and ranked against the same group.
At a glance
6 measures against State House Democrats. 37% of the 30 bills Cockley sponsored got out of committee, in the bottom quarter of the Ohio House. Cockley sits at −0.82 on the CSIP scale, more liberal than 76% of State House Democrats.
The measures on which Cockley 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.
Bipartisanship
8.0%
State House Democrats average 2.9% · ranks 59th of 764
Out of committee
37%
Ohio House average 58% · ranks 87th of 98
CSIP ideology
−0.82
More liberal than 76% of State House Democrats · ± 0.05
Credit claiming
19%
State House Democrats average 14% · ranks 241st of 764
Extreme labels
0.5%
State House Democrats average 1.0% · ranks 260th of 764
Itemized, 2026
$70.2K
State House Democrats’ median $40.4K · ranks 721st of 2,082
Peer group: State House Democrats. Rank 1 is the highest value in the group; the thick bar is Cockley, the thin grey bar the peer average. The headline is the measure on which Cockley is most unusual among peers (Methods, §08).
What Cockley says
Cockley stresses bipartisanship more than 92% of State House Democrats. Bipartisanship in 8.0% of 201 statements, against 2.9% for the average State House Democrat; 59th of 764.
An AI model reads each of Cockley’s 201 statements in the OH 2025–26 session (201 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 OH 2025–26 session
0%80%
Cockley
Peers
Rank
Policy discussion82 statements
41%
39%
369th of 764
Credit claiming39 statements
19%
14%
241st of 764
Policy criticism23 statements
11%
10%
275th of 764
Bipartisanship16 statements
8%
3%
59th of 764
Personal attacks3 statements
1%
3%
293rd of 764
Show the data
| Row | Cockley | Peers |
|---|---|---|
| Policy discussion | 41% | 39% |
| Credit claiming | 19% | 14% |
| Policy criticism | 11% | 10% |
| Bipartisanship | 8% | 3% |
| Personal attacks | 1% | 3% |
201
statements classified
201 posts on X.
Show the data
| Part | Value |
|---|---|
| posts on X | 201 |
How to read the bars
The thick bar is Cockley; the thin grey bar is the average State House Democrats. A longer thick bar means Cockley does this more than peers. Rank 1 is the highest rate in the group.
Extreme labels
Cockley used extreme labels in 0.5% of statements, below the peer average. 1 statement; peers 1.0%.
- “extreme”1
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 OH 2025–26 session
Show the data
| Column | Statements | Personal attacks | Policy criticism | Policy discussion | Bipartisanship | Credit claiming | Extreme labels |
|---|---|---|---|---|---|---|---|
| Jan ’25 | 13 | 0.0% | 7.7% | 30.8% | 0.0% | 30.8% | 0.0% |
| Feb ’25 | 13 | 0.0% | 0.0% | 30.8% | 0.0% | 15.4% | 7.7% |
| Mar ’25 | 16 | 0.0% | 18.8% | 25.0% | 0.0% | 6.3% | 0.0% |
| Apr ’25 | 25 | 0.0% | 8.0% | 44.0% | 4.0% | 20.0% | 0.0% |
| May ’25 | 18 | 0.0% | 0.0% | 33.3% | 11.1% | 33.3% | 0.0% |
| Jun ’25 | 12 | 0.0% | 33.3% | 41.7% | 0.0% | 0.0% | 0.0% |
| Jul ’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) |
| Aug ’25 | 19 | 0.0% | 10.5% | 36.8% | 5.3% | 26.3% | 0.0% |
| Sep ’25 | 18 | 0.0% | 16.7% | 61.1% | 0.0% | 16.7% | 0.0% |
| Oct ’25 | 12 | 0.0% | 25.0% | 41.7% | 25.0% | 16.7% | 0.0% |
| Nov ’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) |
| Dec ’25 | 12 | 8.3% | 8.3% | 41.7% | 16.7% | 8.3% | 0.0% |
| Jan ’26 | 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) |
| Feb ’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) |
| Mar ’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) |
| Apr ’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) |
| May ’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) |
| Jun ’26 | 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) |
| 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 | 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) |
| Sep ’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) |
| Oct ’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) |
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 OH 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%. 12 months are hatched here; 1 of them have no statements.
In Cockley’s words
Real statements from the classifier’s example set, with the labels it assigned
Bipartisanship
The text of this post is on X; follow the source link to read it.
Jun 25, 2026 · Posts on X (state legislators) · policy criticism; policy discussion; bipartisanship; Housing and Community Development · 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.
Posts on X (state legislators)
The text of this post is on X; follow the source link to read it.
personal attacks · target: Vivek RamaswamySource
Posts on X (state legislators)
The text of this post is on X; follow the source link to read it.
personal attacks · target: AlexSource
Posts on X (state legislators)
The text of this post is on X; follow the source link to read it.
personal attacks · policy discussion · Immigration · Commerce · target: ICE agentsSource
All 201 statements
Newest first, the OH 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: 201 posts on X.
Policy
Crime and Law Enforcement is what Cockley talks about most: 18% of policy statements, 2.3 times the peer share. Talk and legislation agree at 0.56 on a 0–1 scale (State House Democrats average 0.54; 224th 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 Cockley talks about. The bills Cockley sponsors and cosponsors carry the same areas, so the two can be compared.
What Cockley talks about
Share of policy statements by area, the OH 2025–26 session
0%35%
Cockley
Peers
Crime and Law Enforcement15 statements
18%
8%
Government Operations and Politics12 statements
15%
15%
Agriculture and Food10 statements
12%
5%
Immigration8 statements
10%
4%
Civil Rights and Liberties, Minority Issues7 statements
9%
10%
Show the data
| Row | Cockley | Peers |
|---|---|---|
| Crime and Law Enforcement | 18% | 8% |
| Government Operations and Politics | 15% | 15% |
| Agriculture and Food | 12% | 5% |
| Immigration | 10% | 4% |
| Civil Rights and Liberties, Minority Issues | 9% | 10% |
How to read the bars
The thick bar is the share of Cockley’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 |
|---|---|---|---|---|
| Crime and Law Enforcement | 18% | 8% | 11% | 9% |
| Government Operations and Politics | 15% | 15% | 5% | 8% |
| Agriculture and Food | 12% | 5% | 4% | 3% |
| Immigration | 10% | 4% | 1% | 1% |
| Civil Rights and Liberties, Minority Issues | 9% | 10% | 6% | 4% |
0.56
talk-to-bills agreement, 0 to 1
State House Democrats average 0.54. Ranks 224th of 503.
What agreement means, and what it doesn’t
Agreement is 1 minus the distance between the two distributions (Jensen–Shannon): 1 means Cockley legislates on exactly the areas Cockley 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 Cockley sponsored count fully, cosponsored bills a quarter. Shown with at least 20 policy statements and 5 bills.
Ideology
Cockley sits at −0.82 on the CSIP scale, left of 0, more liberal than 76% of State House Democrats. Approximate range −0.87 to −0.77, which understates the uncertainty; from 1,175 donors and 85 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”.
−0.82
CSIP ideal point
Approximate range −0.87 to −0.77. From 1,175 donors and 85 roll calls. Run 2026-10-25T215945. Blue is left of 0, red right of 0.
The outlined dot is Cockley, 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 Cockley’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 Cockley sits
Every official in each group, on the CSIP scale
State House Democrats2,392 · median −0.6
Ohio House99 · median +0.3
All State House5,324 · median +0.1
Show the data
| Group | Officials | Median | Share left of Cockley |
|---|---|---|---|
| State House Democrats | 2392 | −0.6 | 24% |
| Ohio House | 99 | +0.3 | 6% |
| All State House | 5324 | +0.1 | 11% |
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 Cockley 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 Cockley.
Money
Cockley reported $70.2K in the 2026 cycle, above the State House Democrats’ median of $40.4K. State filings report no small-donation total. 92% of itemized individual money came from Ohio.
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.
$70.2K
itemized in the 2026 cycle
From 227 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)63 squares$43.9K
- PACs and other committees37 squares$26.1K
- Party committees$208
Show the data
| Source | Amount | Share |
|---|---|---|
| Individuals (itemized) | $43.9K | 62.6% |
| PACs and other committees | $26.1K | 37.1% |
| Party committees | $208 | 0.3% |
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 | $177.0K |
| 2026 cycle | $70.2K |
Top donor states, 2026
Itemized contributions by donor state. 92% came from Ohio.
- Ohio$40.5K
- Florida$773
- Maryland$585
- Nevada$500
- Pennsylvania$463
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 |
|---|---|
| Ohio | $40.5K |
| Florida | $773 |
| Maryland | $585 |
| Nevada | $500 |
| Pennsylvania | $463 |
| Vermont | $250 |
| Michigan | $225 |
| New York | $125 |
| Massachusetts | $115 |
| Rhode Island | $100 |
| California | $93 |
| Virginia | $53 |
| Iowa | $50 |
| Texas | $25 |
| District of Columbia | $13 |
| Georgia | $13 |
| Kentucky | $10 |
| Washington | $7 |
| Arkansas | $4 |
| Hawaii | $4 |
| New Jersey | $3 |
| Utah | $3 |
| Alaska | No data |
| Maine | No data |
| New Hampshire | No data |
| Idaho | No data |
| Montana | No data |
| North Dakota | No data |
| Minnesota | No data |
| Illinois | No data |
| Wisconsin | No data |
| Oregon | No data |
| Wyoming | No data |
| South Dakota | No data |
| Indiana | No data |
| Connecticut | No data |
| Colorado | No data |
| Nebraska | No data |
| Missouri | No data |
| West Virginia | No data |
| Delaware | No data |
| Arizona | No data |
| New Mexico | No data |
| Kansas | No data |
| Tennessee | No data |
| North Carolina | No data |
| South Carolina | No data |
| Oklahoma | No data |
| Louisiana | No data |
| Mississippi | No data |
| Alabama | No data |
227
itemized donors
People who gave more than $200
92%
from Ohio
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 Ohio. Gifts of $200 or less carry no address and are left out.
Top donor occupations
Itemized, 2026 cycle.
- NOT EMPLOYED NOT EMPLOYED$3,953 9 donors
- NOT EMPLOYED$1,600 5 donors
Top committees
PAC and committee contributions, 2026 cycle.
- POLITICAL EDUCATION PATTERNS$4,000
- OHIO CREDIT UNION LEGISLATIVE ACTION COMMITTEE$2,500
- SMART TD PAC$1,500
- STATE FARM FEDERAL PAC$1,500
- DEALERS INVESTMENT GROUP$1,400
Top employers
Itemized, 2026 cycle.
No employers reported.
Aggregates only. Individual donors are never named.
Votes
Cockley voted with the majority of Ohio House Democrats on 97.6% of party-line votes and missed none of 276 roll calls. Ohio House on average: 93.3% party unity, 100% attendance. Across all roll calls, Cockley voted against the majority of Ohio House Democrats 11 times.
276 roll calls Cockley could vote on in the OH 2025–26 session, compared with Ohio 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 Cockley voted with the majority of Ohio House Democrats. The count of votes against that majority covers every roll call where the majority took a side.
11
votes against the majority of Ohio House Democrats
Party unity 97.6%, Ohio House average 93.3%, ranks 56th of 98. 276 roll calls in the OH 2025–26 session.
Attendance and party unity
The thick bar is Cockley, the thin grey bar the Ohio House average. The scale runs from 80% to 100% to show the gap.
80%100%
Cockley
Peers
Rank
Attendance
100%
100%
50th of 98
Party unity
97.6%
93.3%
56th of 98
Show the data
| Row | Cockley | Peers |
|---|---|---|
| Attendance | 100% | 100% |
| Party unity | 97.6% | 93.3% |
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
25 roll calls the lab flagged as key in the OH 2025–26 session
| Party split (yea–nay) | Why it’s key | |||||
|---|---|---|---|---|---|---|
| Oct 1, 2026 | Nay | With majority | pass | D 15–16 · R 63–0Democrats 15 yea, 16 nay; Republicans 63 yea, 0 nay | became law · party crossover | |
| Jun 11, 2026 | Yea | With majority | pass | D 20–11 · R 62–1Democrats 20 yea, 11 nay; Republicans 62 yea, 1 nay | became law · party crossover | |
| Jun 11, 2026 | Nay | With majority | pass | D 1–29 · R 55–6Democrats 1 yea, 29 nay; Republicans 55 yea, 6 nay | much discussed | |
| Jun 11, 2026 | Yea | With majority | pass | D 25–8 · R 63–2Democrats 25 yea, 8 nay; Republicans 63 yea, 2 nay | became law · party crossover | |
| Jun 11, 2026 | Yea | With majority | pass | D 33–0 · R 62–3Democrats 33 yea, 0 nay; Republicans 62 yea, 3 nay | became law |
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 Cockley most often
- Sedrick DensonD90 shared votes99%
- Michele GrimD274 shared votes97%
- Phil RobinsonD245 shared votes96%
- Latyna HumphreyD269 shared votes96%
- Allison RussoD260 shared votes96%
Votes least often with
The colleagues who voted the same way as Cockley least often
- Ron FergusonR241 shared votes75%
- Michelle TeskaR238 shared votes76%
- Jennifer GrossR229 shared votes78%
- Beth LearR276 shared votes78%
- Ty MooreR177 shared votes79%
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
OH 2025–26 session, loads in batches
Legislation
Cockley sponsored 30 bills in the OH 2025–26 session; none became law. Cosponsored 134 others. 37% of sponsored bills got out of committee (Ohio House average 58%; 87th of 98).
The bills Cockley sponsored and cosponsored in the OH 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 OH 2025–26 session
Show the data
| Role | Introduced | In committee | Passed one chamber | Passed both chambers | Became law |
|---|---|---|---|---|---|
| Sponsored | 30 | 29 | 10 | 1 | 0 |
| Cosponsored | 134 | 131 | 66 | 34 | 26 |
How to read the blocks
Ink blocks are bills Cockley sponsored, ochre blocks bills Cockley cosponsored; the figure above each block is the count. Most bills in any legislature never leave committee, so a short staircase is the norm.
37%
of sponsored bills got out of committee
Ohio House average 58%. Ranks 87th of 98.
Cosponsorship partners
Colleagues who most often cosponsor with Cockley, by number of shared bills in the OH 2025–26 session; the square shows their party.
- Sean Brennan53
- Eric Synenberg51
- Tristan Rader47
- Crystal Lett41
- Beryl Piccolantonio41
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 Cockley’s bills; the toggle shows more.
Bill list
Sponsored and cosponsored, with status and policy area; five are shown, the toggle shows the rest
| HB 1032 | Regards AI use by state agencies and in labor and employment | Sponsor | Oct 22, 2026 | Introduced | Unassigned | Introduced Oct 22, 2026 |
| HB 1020 | Temporarily suspend the motor fuel tax; make other changes | Cosponsor | Sep 30, 2026 | Introduced | Taxation(model) | Introduced Sep 30, 2026 |
| HB 1018 | Designate Dolly Parton Imagination Library Reading Day | Cosponsor | Sep 28, 2026 | Introduced | Unassigned | Introduced Sep 28, 2026 |
| HB 1014 | Require bill credits, reimbursements after certain power outages | Cosponsor | Sep 23, 2026 | Introduced | Energy(model) | Introduced Sep 23, 2026 |
| HB 940 | Enact the Medical Shortage Protection Act | Sponsor | May 19, 2026 | In committee | Health(model) | Referred to committee May 20, 2026 |
Online
A site that changed 2 times in 90 days. Cockley’s official site had 1 page when last crawled on Oct 1, 2026.
The lab crawls Cockley’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 Cockley posts with a vision model.
Websites
- 1
pages crawled
2changes in 90 days
- 7
pages crawled
8changes 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 Cockley posted
No images from Cockley’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
7 turns, Apr 2, 2025 to Jun 10, 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 Cockley 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
- b76c6e1e-8b9d-42bf-b615-73270b132773
- Open States
- ocd-person/b76c6e1e-8b9d-42bf-b615-73270b132773
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