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Democrat · New Hampshire House, district Rockingham 10

Serving since Dec 7, 2022NH 2025–26 session

Portrait of Ellen Read, rendered as a two-tone print
Official portrait
92%
of State House Democrats score to the left of Read on the CSIP scale

CSIP score −0.29 (approximate range −0.31 to −0.28, which understates the uncertainty); negative is left of the scale’s centre, positive right. From 0 donors and 977 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 Read sits among State House Democrats, not how far from the centre.

At a glance

6 measures against State House Democrats. 24% of Read’s statements criticize a policy, 2.3 times the State House Democrat average of 10%. Read missed 33% of 557 roll calls, attendance in the bottom tenth of the New Hampshire House (average 89%).

The measures on which Read 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.

CSIP ideology

−0.29

More conservative than 92% of State House Democrats · ± 0.02

Policy criticism

24%

State House Democrats average 10% · ranks 78th of 764

Attendance

67%

New Hampshire House average 89% · ranks 350th of 382 · 557 roll calls

Party unity

92.8%

New Hampshire House average 95.3% · ranks 337th of 381 · 32 votes against the majority of New Hampshire House Democrats

Out of committee

23%

New Hampshire House average 48% · ranks 102nd of 128

Talk-to-bills agreement

0.62

State House Democrats average 0.54 · ranks 121st of 503

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

Back to topNext: What politicians say

What Read says

Read stresses bipartisanship less than 69% of State House Democrats. Bipartisanship in 0.9% of 353 statements, against 2.9% for the average State House Democrat; 535th of 764.

An AI model reads each of Read’s 353 statements in the NH 2025–26 session (353 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 NH 2025–26 session

0%80%
Read
Peers
Rank
Policy discussion176 statements
50%
39%
230th of 764
Policy criticism84 statements
24%
10%
78th of 764
Credit claiming32 statements
9%
14%
456th of 764
Personal attacks7 statements
2%
3%
256th of 764
Bipartisanship3 statements
1%
3%
535th of 764
Show the data
Read's share of statements in each category against the State House Democrats average.
RowReadPeers
Policy discussion50%39%
Policy criticism24%10%
Credit claiming9%14%
Personal attacks2%3%
Bipartisanship1%3%
353

statements classified

353 posts on X.

posts on X: 353 (100.0%)posts on X 353
Show the data
Read's statements by source
PartValue
posts on X353
How to read the bars

The thick bar is Read; the thin grey bar is the average State House Democrats. A longer thick bar means Read does this more than peers. Rank 1 is the highest rate in the group.

Extreme labels

Read used extreme labels in 1.1% of statements, above the peer average. 4 statements, most often aimed at ICE; peers 1.0%.

  1. “fascist”1

Who gets the labels

Targets named alongside an extreme label, by number of statements

  1. ICE1
  2. leaders1
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 NH 2025–26 session

Statements2025-01: 322025-02: 1122025-03: 202025-04: 132025-05: 282025-06: 22025-07: 32025-08: 42025-09: 162025-10: 462025-11: 62025-12: 02026-01: 122026-02: 52026-03: 82026-04: 102026-05: 62026-06: 12026-07: 252026-08: 02026-09: 42026-10: 0peak 112 · Feb ’25Personal attackspeak 6.3% · Sep ’25 · latest 0.0%Personal attacks, 2025-01: 0.0% of 32Personal attacks, 2025-02: 4.5% of 112Personal attacks, 2025-03: 0.0% of 20Personal attacks, 2025-04: 0.0% of 13Personal attacks, 2025-05: 0.0% of 28Personal 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: 6.3% of 16Personal attacks, 2025-10: 0.0% of 46Personal attacks, 2025-11: not plotted (fewer than 10 statements)Personal attacks, 2025-12: not plotted (fewer than 10 statements)Personal attacks, 2026-01: 0.0% of 12Personal attacks, 2026-02: not plotted (fewer than 10 statements)Personal attacks, 2026-03: not plotted (fewer than 10 statements)Personal attacks, 2026-04: 0.0% of 10Personal attacks, 2026-05: not plotted (fewer than 10 statements)Personal attacks, 2026-06: not plotted (fewer than 10 statements)Personal attacks, 2026-07: 0.0% of 25Personal attacks, 2026-08: not plotted (fewer than 10 statements)Personal attacks, 2026-09: not plotted (fewer than 10 statements)Personal attacks, 2026-10: not plotted (fewer than 10 statements)Policy criticismpeak 40.2% · Feb ’25 · latest 4.0%Policy criticism, 2025-01: 25.0% of 32Policy criticism, 2025-02: 40.2% of 112Policy criticism, 2025-03: 35.0% of 20Policy criticism, 2025-04: 0.0% of 13Policy criticism, 2025-05: 7.1% of 28Policy 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: 12.5% of 16Policy criticism, 2025-10: 17.4% of 46Policy criticism, 2025-11: not plotted (fewer than 10 statements)Policy criticism, 2025-12: not plotted (fewer than 10 statements)Policy criticism, 2026-01: 0.0% of 12Policy criticism, 2026-02: not plotted (fewer than 10 statements)Policy criticism, 2026-03: not plotted (fewer than 10 statements)Policy criticism, 2026-04: 0.0% of 10Policy criticism, 2026-05: not plotted (fewer than 10 statements)Policy criticism, 2026-06: not plotted (fewer than 10 statements)Policy criticism, 2026-07: 4.0% of 25Policy criticism, 2026-08: not plotted (fewer than 10 statements)Policy criticism, 2026-09: not plotted (fewer than 10 statements)Policy criticism, 2026-10: not plotted (fewer than 10 statements)Policy discussionpeak 91.7% · Jan ’26 · latest 56.0%Policy discussion, 2025-01: 59.4% of 32Policy discussion, 2025-02: 58.0% of 112Policy discussion, 2025-03: 60.0% of 20Policy discussion, 2025-04: 38.5% of 13Policy discussion, 2025-05: 25.0% of 28Policy 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: 37.5% of 16Policy discussion, 2025-10: 26.1% of 46Policy discussion, 2025-11: not plotted (fewer than 10 statements)Policy discussion, 2025-12: not plotted (fewer than 10 statements)Policy discussion, 2026-01: 91.7% of 12Policy discussion, 2026-02: not plotted (fewer than 10 statements)Policy discussion, 2026-03: not plotted (fewer than 10 statements)Policy discussion, 2026-04: 50.0% of 10Policy discussion, 2026-05: not plotted (fewer than 10 statements)Policy discussion, 2026-06: not plotted (fewer than 10 statements)Policy discussion, 2026-07: 56.0% of 25Policy discussion, 2026-08: not plotted (fewer than 10 statements)Policy discussion, 2026-09: not plotted (fewer than 10 statements)Policy discussion, 2026-10: not plotted (fewer than 10 statements)Bipartisanshippeak 12.5% · Sep ’25 · latest 0.0%Bipartisanship, 2025-01: 0.0% of 32Bipartisanship, 2025-02: 0.0% of 112Bipartisanship, 2025-03: 0.0% of 20Bipartisanship, 2025-04: 0.0% of 13Bipartisanship, 2025-05: 3.6% of 28Bipartisanship, 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: 12.5% of 16Bipartisanship, 2025-10: 0.0% of 46Bipartisanship, 2025-11: not plotted (fewer than 10 statements)Bipartisanship, 2025-12: not plotted (fewer than 10 statements)Bipartisanship, 2026-01: 0.0% of 12Bipartisanship, 2026-02: not plotted (fewer than 10 statements)Bipartisanship, 2026-03: not plotted (fewer than 10 statements)Bipartisanship, 2026-04: 0.0% of 10Bipartisanship, 2026-05: not plotted (fewer than 10 statements)Bipartisanship, 2026-06: not plotted (fewer than 10 statements)Bipartisanship, 2026-07: 0.0% of 25Bipartisanship, 2026-08: not plotted (fewer than 10 statements)Bipartisanship, 2026-09: not plotted (fewer than 10 statements)Bipartisanship, 2026-10: not plotted (fewer than 10 statements)Credit claimingpeak 30.8% · Apr ’25 · latest 8.0%Credit claiming, 2025-01: 15.6% of 32Credit claiming, 2025-02: 10.7% of 112Credit claiming, 2025-03: 20.0% of 20Credit claiming, 2025-04: 30.8% of 13Credit claiming, 2025-05: 0.0% of 28Credit 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: 6.3% of 16Credit claiming, 2025-10: 0.0% of 46Credit claiming, 2025-11: not plotted (fewer than 10 statements)Credit claiming, 2025-12: not plotted (fewer than 10 statements)Credit claiming, 2026-01: 8.3% of 12Credit claiming, 2026-02: not plotted (fewer than 10 statements)Credit claiming, 2026-03: not plotted (fewer than 10 statements)Credit claiming, 2026-04: 0.0% of 10Credit claiming, 2026-05: not plotted (fewer than 10 statements)Credit claiming, 2026-06: not plotted (fewer than 10 statements)Credit claiming, 2026-07: 8.0% of 25Credit claiming, 2026-08: not plotted (fewer than 10 statements)Credit claiming, 2026-09: not plotted (fewer than 10 statements)Credit claiming, 2026-10: not plotted (fewer than 10 statements)Extreme labelspeak 7.1% · May ’25 · latest 0.0%Extreme labels, 2025-01: 0.0% of 32Extreme labels, 2025-02: 0.0% of 112Extreme labels, 2025-03: 0.0% of 20Extreme labels, 2025-04: 0.0% of 13Extreme labels, 2025-05: 7.1% of 28Extreme 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: 0.0% of 16Extreme labels, 2025-10: 0.0% of 46Extreme labels, 2025-11: not plotted (fewer than 10 statements)Extreme labels, 2025-12: not plotted (fewer than 10 statements)Extreme labels, 2026-01: 0.0% of 12Extreme labels, 2026-02: not plotted (fewer than 10 statements)Extreme labels, 2026-03: not plotted (fewer than 10 statements)Extreme labels, 2026-04: 0.0% of 10Extreme labels, 2026-05: not plotted (fewer than 10 statements)Extreme labels, 2026-06: not plotted (fewer than 10 statements)Extreme labels, 2026-07: 0.0% of 25Extreme labels, 2026-08: not plotted (fewer than 10 statements)Extreme labels, 2026-09: not plotted (fewer than 10 statements)Extreme labels, 2026-10: not plotted (fewer than 10 statements)Jan ’25Jul ’25Jan ’26Jul ’26Oct ’26
Show the data
Monthly rates for Read, 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 ’25320.0%25.0%59.4%0.0%15.6%0.0%
Feb ’251124.5%40.2%58.0%0.0%10.7%0.0%
Mar ’25200.0%35.0%60.0%0.0%20.0%0.0%
Apr ’25130.0%0.0%38.5%0.0%30.8%0.0%
May ’25280.0%7.1%25.0%3.6%0.0%7.1%
Jun ’252— (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 ’253— (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 ’254— (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 ’25166.3%12.5%37.5%12.5%6.3%0.0%
Oct ’25460.0%17.4%26.1%0.0%0.0%0.0%
Nov ’256— (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 ’26120.0%0.0%91.7%0.0%8.3%0.0%
Feb ’265— (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 ’268— (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 ’26100.0%0.0%50.0%0.0%0.0%0.0%
May ’266— (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 ’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)
Jul ’26250.0%4.0%56.0%0.0%8.0%0.0%
Aug ’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)
Sep ’264— (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 ’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 NH 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; 3 of them have no statements.

In Read’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.

Jul 14, 2026 · Posts on X (state legislators) · policy criticism; policy discussion; Crime and Law Enforcement · Source

Bipartisanship

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

Sep 12, 2025 · Posts on X (state legislators) · bipartisanship · Source

Extreme label

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

Mar 24, 2026 · Posts on X (state legislators) · policy criticism; policy discussion; Immigration; extreme label “extreme” aimed at ICE · 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 (state legislators)

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

    personal attacks · target: DemocratsSource

  2. Posts on X (state legislators)

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

    personal attacks · target: Unnamed individualSource

  3. Posts on X (state legislators)

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

    personal attacks · target: cfree220Source

  4. Posts on X (state legislators)

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

    personal attacks · target: cfree220Source

  5. Posts on X (state legislators)

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

    personal attacks · policy criticism · policy discussion · Housing and Community Development · target: cfree220Source

All 353 statements

Newest first, the NH 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: 353 posts on X.

Back to topNext: Policy

Policy

Housing and Community Development is what Read talks about most: 39% of policy statements, 6.4 times the peer share. Talk and legislation agree at 0.62 on a 0–1 scale (State House Democrats average 0.54; 121st 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 Read talks about. The bills Read sponsors and cosponsors carry the same areas, so the two can be compared.

What Read talks about

Share of policy statements by area, the NH 2025–26 session

0%43%
Read
Peers
Housing and Community Development69 statements
39%
6%
Health18 statements
10%
15%
Law13 statements
7%
2%
International Affairs12 statements
7%
1%
Crime and Law Enforcement11 statements
6%
8%
Show the data
Policy areas Read talks about, as a share of policy statements, against the State House Democrats average.
RowReadPeers
Housing and Community Development39%6%
Health10%15%
Law7%2%
International Affairs7%1%
Crime and Law Enforcement6%8%
How to read the bars

The thick bar is the share of Read’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 43%. Grey ticks are the State House Democrats averages.

Talks aboutLegislates onHousing and CommunityDevelopmentHousing and Community Development, talks about: 39% (State House Democrats 6%)39%Housing and Community Development, legislates on: 23% (State House Democrats 5%)23%HealthHealth, talks about: 10% (State House Democrats 15%)10%Health, legislates on: 2% (State House Democrats 15%)2%LawLaw, talks about: 7% (State House Democrats 2%)7%Law, legislates on: 8% (State House Democrats 2%)8%International AffairsInternational Affairs, talks about: 7% (State House Democrats 1%)7%International Affairs, legislates on: 0% (State House Democrats 1%)0%Crime and Law EnforcementCrime and Law Enforcement, talks about: 6% (State House Democrats 8%)6%Crime and Law Enforcement, legislates on: 12% (State House Democrats 9%)12%
Show the data
Read's share of statements against share of bills in each policy area.
AreaTalks aboutState House Democrats, talks aboutLegislates onState House Democrats, legislates on
Housing and Community Development39%6%23%5%
Health10%15%2%15%
Law7%2%8%2%
International Affairs7%1%0%1%
Crime and Law Enforcement6%8%12%9%
0.62

talk-to-bills agreement, 0 to 1

State House Democrats average 0.54. Ranks 121st of 503.

What agreement means, and what it doesn’t

Agreement is 1 minus the distance between the two distributions (Jensen–Shannon): 1 means Read legislates on exactly the areas Read 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 Read sponsored count fully, cosponsored bills a quarter. Shown with at least 20 policy statements and 5 bills.

Back to topNext: Ideology

Ideology

Read sits at −0.29 on the CSIP scale, left of 0, more conservative than 92% of State House Democrats. Approximate range −0.31 to −0.28, which understates the uncertainty; from 0 donors and 977 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”.

−0.29

CSIP ideal point

Approximate range −0.31 to −0.28. From 0 donors and 977 roll calls. Run 2026-10-25T215945. Blue is left of 0, red right of 0.

← More liberalMore conservative →0Read −0.3State House Democrats −0.6New Hampshire House 0.0All State House +0.1

The outlined dot is Read, 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 Read’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 Read sits

Every official in each group, on the CSIP scale

−2.0−1.00.0+1.0+2.0← More liberalMore conservative →State House Democratsmedian −0.6Read −0.3New Hampshire Housemedian 0.0All State Housemedian +0.1
Show the data
Read's CSIP score of −0.29 placed against State House Democrats, New Hampshire House, All State House.
GroupOfficialsMedianShare left of Read
State House Democrats2392−0.692%
New Hampshire House3820.039%
All State House5324+0.142%
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 Read 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 Read.

Back to topNext: Money

Money

No campaign-finance data.No campaign-finance records are matched to this official.

Back to topNext: Votes

Votes

Read voted with the majority of New Hampshire House Democrats on 92.8% of party-line votes and missed 33% of 557 roll calls. New Hampshire House on average: 95.3% party unity, 89% attendance. Across all roll calls, Read voted against the majority of New Hampshire House Democrats 32 times.

557 roll calls Read could vote on in the NH 2025–26 session, compared with New Hampshire 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 Read voted with the majority of New Hampshire House Democrats. The count of votes against that majority covers every roll call where the majority took a side.

32

votes against the majority of New Hampshire House Democrats

Party unity 92.8%, New Hampshire House average 95.3%, ranks 337th of 381. 557 roll calls in the NH 2025–26 session.

Attendance and party unity

The thick bar is Read, the thin grey bar the New Hampshire House average. The scale runs from 60% to 100% to show the gap.

60%100%
Read
Peers
Rank
Attendance
67%
89%
350th of 382
Party unity
92.8%
95.3%
337th of 381
Show the data
Read's attendance and party unity against New Hampshire House.
RowReadPeers
Attendance67%89%
Party unity92.8%95.3%
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 NH 2025–26 session

Key votes
Party split (yea–nay)Why it’s key
Aug 19, 2026
HB 2026
relative to the state 10-year transportation improvement plan; relative to toll rate adjustments and periodic toll reviews for the New Hampshire turnpike system to support the 2027-2036 ten-year transportation plan; and relative to reconstruction of the Gregg Mill Road Bridge in the town of New Bost
Veto Override
Did not vote—passD 143–0 · R 148–25 · I 1–0Democrats 143 yea, 0 nay; Republicans 148 yea, 25 nay; Independents 1 yea, 0 nayparty crossover
Aug 19, 2026
HB 1358
establishing a commission to study transitioning all public schools to public charter schools.
Veto Override
Did not vote—failD 0–143 · R 149–23 · I 1–0Democrats 0 yea, 143 nay; Republicans 149 yea, 23 nay; Independents 1 yea, 0 nayclose vote · party crossover
Aug 19, 2026
HB 1610
allowing school districts to annually retain year-end unassigned general funds.
Veto Override
Did not vote—passD 0–139 · R 161–9 · I 1–0Democrats 0 yea, 139 nay; Republicans 161 yea, 9 nay; Independents 1 yea, 0 nayclose vote
Aug 19, 2026
HB 1336
relative to regulated conditional deposits.
Veto Override
Did not vote—passD 0–142 · R 158–13 · I 1–0Democrats 0 yea, 142 nay; Republicans 158 yea, 13 nay; Independents 1 yea, 0 nayclose vote
Aug 19, 2026
HB 1726
relative to the sale of surplus state-owned land and establishing a commission to study the sale of state-owned property.
Veto Override
Did not vote—failD 2–135 · R 98–71 · I 1–0Democrats 2 yea, 135 nay; Republicans 98 yea, 71 nay; Independents 1 yea, 0 nayparty crossover
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 Read most often

  1. Ned RaynoldsD306 shared votes93%
  2. Merryl GibbsD287 shared votes93%
  3. Terri O'RorkeD373 shared votes93%
  4. David FrachtD338 shared votes93%
  5. Beth RichardsD259 shared votes93%

Votes least often with

The colleagues who voted the same way as Read least often

  1. Mike MurphyR116 shared votes8.6%
  2. Jim SummersR263 shared votes9.9%
  3. Lisa FreemanR358 shared votes10%
  4. Richard TrippR316 shared votes10%
  5. Stephen BoydR374 shared votes10%
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

NH 2025–26 session, loads in batches

Back to topNext: Legislation

Legislation

Read sponsored 31 bills in the NH 2025–26 session; 1 became law. Cosponsored 36 others. 23% of sponsored bills got out of committee (New Hampshire House average 48%; 102nd of 128).

The bills Read sponsored and cosponsored in the NH 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 NH 2025–26 session

Sponsored31 billsSponsored, Introduced: 3131Sponsored, In committee: 3131Sponsored, Passed one chamber: 77Sponsored, Passed both chambers: 11Sponsored, Became law: 11Cosponsored36 billsCosponsored, Introduced: 3636Cosponsored, In committee: 3636Cosponsored, Passed one chamber: 1616Cosponsored, Passed both chambers: 88Cosponsored, Became law: 55IntroducedIncommitteePassed onechamberPassed bothchambersBecamelaw
Show the data
Bills Read sponsored and cosponsored, by furthest stage reached
RoleIntroducedIn committeePassed one chamberPassed both chambersBecame law
Sponsored3131711
Cosponsored36361685
How to read the blocks

Ink blocks are bills Read sponsored, ochre blocks bills Read cosponsored; the figure above each block is the count. Most bills in any legislature never leave committee, so a short staircase is the norm.

23%

of sponsored bills got out of committee

New Hampshire House average 48%. Ranks 102nd of 128.

Cosponsorship partners

Colleagues who most often cosponsor with Read, by number of shared bills in the NH 2025–26 session; the square shows their party.

  1. Jonah Wheeler15
  2. Connie Lane12
  3. Heath Howard11
  4. Jodi Newell10
  5. Debra Altschiller9
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 Read’s bills; the toggle shows more.

Bill list

Sponsored and cosponsored, with status and policy area; five are shown, the toggle shows the rest

Bills sponsored and cosponsored
HB 1814establishing a 10-year strategic housing and infrastructure plan.CosponsorDec 18, 2025In committeeHousing and Community Development(model)Died on Table, Session ended 08/19/2026 HJ 16 Aug 20, 2026
HB 1821exempting certain information collected from electronic ballot counting devices from right-to-know law restrictions.CosponsorDec 18, 2025In committeeGovernment Operations and Politics(model)Inexpedient to Legislate: MA VV 03/05/2026 HJ 6 P. 15 Mar 5, 2026
HB 1786relative to creating a state assessment on non-homestead luxury second homes to fund statewide housing development programs and address housing shortages and making appropriations therefor.CosponsorDec 17, 2025Passed one chamberHousing and Community Development(model)Died on Table, Session ended 08/19/2026 HJ 16 Aug 20, 2026
HB 1783relative to benefits issued to certain water-related infrastructure projects.CosponsorDec 17, 2025In committeeWater Resources Development(model)Inexpedient to Legislate: MA VV 03/05/2026 HJ 6 P. 34 Mar 5, 2026
HB 1801relative to causes of action for wrongful detention, drug forfeiture proceedings, the regulation of law enforcement officers, and the offense of unsworn falsification.SponsorDec 17, 2025In committeeCrime and Law Enforcement(model)Inexpedient to Legislate: MA VV 03/05/2026 HJ 6 P. 25 Mar 5, 2026

Back to topNext: Online

Online

A site that changed 1 time in 90 days. Read’s official site had 1 page when last crawled on Oct 1, 2026.

The lab crawls Read’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 Read posts with a vision model.

Websites

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.

Images Read posted

No images from Read’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

No transcribed state floor speeches are matched to this legislator yet.

Floor speeches

Transcribed from chamber video or captions by the lab. They are not classified for kinds of statement.

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 Read 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
77304532-17fb-4b2c-aed6-213a435e4a46
Open States
ocd-person/77304532-17fb-4b2c-aed6-213a435e4a46

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

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