Bipartisanship
The text of this post is on X; follow the source link to read it.
Mar 14, 2026 · Posts on X (state legislators) · bipartisanship · Source
1.6×
the State House Democrat rate of bipartisan language
4.7% of 214 statements use bipartisan language (10 statements); the average for State House Democrats is 2.9%. Ranks 161st of 764, where 1st is the highest rate.
An AI model reads each of White’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. The policy areas White talks about and legislates on agree at 0.47 on a 0–1 scale, in the bottom quarter of State House Democrats. White voted against the majority of Ohio House Democrats 10 times; party unity 93.8%, in the bottom half of the Ohio House (average 93.3%).
The measures on which White 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
4.7%
State House Democrats average 2.9% · ranks 161st of 764
Talk-to-bills agreement
0.47
State House Democrats average 0.54 · ranks 381st of 503
Party unity
93.8%
Ohio House average 93.3% · ranks 73rd of 98 · 10 votes against the majority of Ohio House Democrats
Extreme labels
0%
State House Democrats average 1.0% · ranks 543rd of 764
Policy criticism
12%
State House Democrats average 10% · ranks 257th of 764
CSIP ideology
−0.66
Left of 0, the centre of the scale · ± 0.09
Peer group: State House Democrats. Rank 1 is the highest value in the group; the thick bar is White, the thin grey bar the peer average. The headline is the measure on which White is most unusual among peers (Methods, §08).
What White says
White attacks opponents personally about as often as the median State House Democrat. Personal attacks in 0.5% of 214 statements, against 2.5% for the average State House Democrat; 375th of 764.
An AI model reads each of White’s 214 statements in the OH 2025–26 session (214 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%
White
Peers
Rank
Policy discussion75 statements
35%
39%
459th of 764
Policy criticism26 statements
12%
10%
257th of 764
Credit claiming16 statements
7%
14%
504th of 764
Bipartisanship10 statements
5%
3%
161st of 764
Personal attacks1 statements
0%
3%
375th of 764
Show the data
| Row | White | Peers |
|---|---|---|
| Policy discussion | 35% | 39% |
| Policy criticism | 12% | 10% |
| Credit claiming | 7% | 14% |
| Bipartisanship | 5% | 3% |
| Personal attacks | 0% | 3% |
214
statements classified
214 posts on X.
Show the data
| Part | Value |
|---|---|
| posts on X | 214 |
How to read the bars
The thick bar is White; the thin grey bar is the average State House Democrats. A longer thick bar means White does this more than peers. Rank 1 is the highest rate in the group.
Extreme labels
White used no extreme labels in 214 statements. The peer average is 1.0%.
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 OH 2025–26 session
Show the data
| Column | Statements | Personal attacks | Policy criticism | Policy discussion | Bipartisanship | Credit claiming | Extreme labels |
|---|---|---|---|---|---|---|---|
| Jan ’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) |
| Feb ’25 | 19 | 5.3% | 0.0% | 31.6% | 0.0% | 0.0% | 0.0% |
| Mar ’25 | 15 | 0.0% | 20.0% | 46.7% | 0.0% | 6.7% | 0.0% |
| Apr ’25 | 27 | 0.0% | 11.1% | 40.7% | 0.0% | 14.8% | 0.0% |
| May ’25 | 25 | 0.0% | 12.0% | 28.0% | 4.0% | 0.0% | 0.0% |
| Jun ’25 | 12 | 0.0% | 33.3% | 41.7% | 8.3% | 8.3% | 0.0% |
| Jul ’25 | 15 | 0.0% | 6.7% | 20.0% | 0.0% | 0.0% | 0.0% |
| Aug ’25 | 10 | 0.0% | 50.0% | 70.0% | 20.0% | 10.0% | 0.0% |
| Sep ’25 | 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) |
| Oct ’25 | 19 | 0.0% | 21.1% | 42.1% | 26.3% | 10.5% | 0.0% |
| Nov ’25 | 13 | 0.0% | 7.7% | 15.4% | 0.0% | 7.7% | 0.0% |
| Dec ’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) |
| Jan ’26 | 5 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| 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 | 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) |
| Apr ’26 | 5 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| May ’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) |
| Jun ’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) |
| Jul ’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) |
| 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 | 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) |
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%. 13 months are hatched here.
In White’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.
Jul 18, 2026 · Posts on X (state legislators) · credit claiming · Source
Personal attacks
The text of this post is on X; follow the source link to read it.
Feb 23, 2025 · Posts on X (state legislators) · personal attacks; policy discussion; Armed Forces and National Security; target: Elon Musk · 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 · policy discussion · Armed Forces and National Security · target: Elon MuskSource
All 214 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: 214 posts on X.
Policy
Education is what White talks about most: 21% of policy statements, above the peer share. Talk and legislation agree at 0.47 on a 0–1 scale (State House Democrats average 0.54; 381st 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 White talks about. The bills White sponsors and cosponsors carry the same areas, so the two can be compared.
What White talks about
Share of policy statements by area, the OH 2025–26 session
0%35%
White
Peers
Education16 statements
21%
15%
Labor and Employment14 statements
19%
6%
Economics and Public Finance13 statements
17%
11%
Government Operations and Politics11 statements
15%
15%
Health10 statements
13%
15%
Show the data
| Row | White | Peers |
|---|---|---|
| Education | 21% | 15% |
| Labor and Employment | 19% | 6% |
| Economics and Public Finance | 17% | 11% |
| Government Operations and Politics | 15% | 15% |
| Health | 13% | 15% |
How to read the bars
The thick bar is the share of White’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 |
|---|---|---|---|---|
| Education | 21% | 15% | 7% | 10% |
| Labor and Employment | 19% | 6% | 5% | 6% |
| Economics and Public Finance | 17% | 11% | 0% | 2% |
| Government Operations and Politics | 15% | 15% | 4% | 8% |
| Health | 13% | 15% | 17% | 15% |
0.47
talk-to-bills agreement, 0 to 1
State House Democrats average 0.54. Ranks 381st of 503.
What agreement means, and what it doesn’t
Agreement is 1 minus the distance between the two distributions (Jensen–Shannon): 1 means White legislates on exactly the areas White 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 White sponsored count fully, cosponsored bills a quarter. Shown with at least 20 policy statements and 5 bills.
Ideology
White sits at −0.66 on the CSIP scale, left of 0, more liberal than 55% of State House Democrats. Approximate range −0.75 to −0.56, which understates the uncertainty; from 0 donors and 96 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”.
−0.66
CSIP ideal point
Approximate range −0.75 to −0.56. From 0 donors and 96 roll calls. Run 2026-10-25T215945. Blue is left of 0, red right of 0.
The outlined dot is White, 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 White’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 White 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 White |
|---|---|---|---|
| State House Democrats | 2392 | −0.6 | 45% |
| Ohio House | 99 | +0.3 | 19% |
| All State House | 5324 | +0.1 | 20% |
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 White 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 White.
Money
No campaign-finance data.No campaign-finance records are matched to this official.
Votes
White voted with the majority of Ohio House Democrats on 93.8% of party-line votes and missed none of 294 roll calls. Ohio House on average: 93.3% party unity, 100% attendance. Across all roll calls, White voted against the majority of Ohio House Democrats 10 times.
294 roll calls White 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 White 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.
10
votes against the majority of Ohio House Democrats
Party unity 93.8%, Ohio House average 93.3%, ranks 73rd of 98. 294 roll calls in the OH 2025–26 session.
Attendance and party unity
The thick bar is White, the thin grey bar the Ohio House average. The scale runs from 80% to 100% to show the gap.
80%100%
White
Peers
Rank
Attendance
100%
100%
50th of 98
Party unity
93.8%
93.3%
73rd of 98
Show the data
| Row | White | Peers |
|---|---|---|
| Attendance | 100% | 100% |
| Party unity | 93.8% | 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 | |||||
|---|---|---|---|---|---|---|
| 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 | |
| Jun 11, 2026 | Nay | With majority | pass | D 0–30 · R 62–0Democrats 0 yea, 30 nay; Republicans 62 yea, 0 nay | much discussed |
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 White most often
- Ismail MohamedD271 shared votes96%
- Michele GrimD261 shared votes96%
- Lauren McNallyD204 shared votes96%
- Sedrick DensonD91 shared votes96%
- Beryl PiccolantonioD294 shared votes96%
Votes least often with
The colleagues who voted the same way as White least often
- Michelle TeskaR252 shared votes76%
- Ron FergusonR236 shared votes76%
- Jennifer GrossR246 shared votes78%
- Ty MooreR194 shared votes78%
- Diane MullinsR152 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
White sponsored 25 bills in the OH 2025–26 session; 1 became law. Cosponsored 176 others. 52% of sponsored bills got out of committee (Ohio House average 58%; 67th of 98).
The bills White 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 | 25 | 25 | 13 | 1 | 1 |
| Cosponsored | 176 | 175 | 89 | 48 | 39 |
How to read the blocks
Ink blocks are bills White sponsored, ochre blocks bills White cosponsored; the figure above each block is the count. Most bills in any legislature never leave committee, so a short staircase is the norm.
52%
of sponsored bills got out of committee
Ohio House average 58%. Ranks 67th of 98.
Cosponsorship partners
Colleagues who most often cosponsor with White, by number of shared bills in the OH 2025–26 session; the square shows their party.
- Sean Brennan70
- Beryl Piccolantonio50
- Eric Synenberg49
- Karen Brownlee47
- Crystal Lett43
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 White’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 519 | Honoring the Toledo Junior Celtics rugby team as the 2026 Rugby Ohio Division 2 State Champion. | Sponsor | Aug 12, 2026 | Passed one chamber | Unassigned | Adopted Aug 12, 2026 |
| HB 966 | Study the prevalence of cholestatic liver disorders in women | Cosponsor | Jun 22, 2026 | Introduced | Health(model) | Introduced Jun 22, 2026 |
| HR 407 | Encourage Ohio law enforcement inclusion in fed. investigations | Cosponsor | May 13, 2026 | In committee | Crime and Law Enforcement(model) | Introduced and Referred to Committee May 13, 2026 |
| HR 427 | Express intention to affirm an Ohio Tenants' Bill of Rights | Sponsor | May 13, 2026 | In committee | Housing and Community Development(model) | Introduced and Referred to Committee May 13, 2026 |
| HCR 41 | Encourage Governor, others to recognize Workers Memorial Day | Sponsor | May 13, 2026 | In committee | Unassigned | Introduced and Referred to Committee May 13, 2026 |
Online
A site that changed 2 times in 90 days. White’s official site had 1 page when last crawled on Oct 1, 2026.
The lab crawls White’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 White posts with a vision model.
Websites
- 1
pages crawled
2changes in 90 days
- 7
pages crawled
1changes 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 White posted
No images from White’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
13 turns, Mar 19, 2025 to Jun 9, 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 White 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
- ab851536-a9e6-45d7-b2fe-fad70f5acf07
- Open States
- ocd-person/ab851536-a9e6-45d7-b2fe-fad70f5acf07
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