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Democrat · Wisconsin House, district 90

Serving since Jan 6, 2025WI 2025–26 session

Portrait of Amaad Rivera-Wagner, rendered as a two-tone print
Official portrait
11
votes against the majority of Wisconsin House Democrats

Party unity 92.7%, in the bottom quarter of the Wisconsin House (average 97.6%). 239 roll calls in the WI 2025–26 session.

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 Rivera-Wagner voted with the majority of Wisconsin House Democrats; it is ranked within the Wisconsin House. The count covers every roll call where Rivera-Wagner voted opposite that majority.

At a glance

6 measures against State House Democrats. Rivera-Wagner missed 8.0% of 239 roll calls, attendance in the bottom quarter of the Wisconsin House (average 97.7%). 72% of Rivera-Wagner’s itemized money in the 2026 cycle came from Wisconsin, in the bottom quarter of State House Democrats.

The measures on which Rivera-Wagner 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.

Party unity

92.7%

Wisconsin House average 97.6% · ranks 87th of 98 · 11 votes against the majority of Wisconsin House Democrats

Attendance

92.0%

Wisconsin House average 97.7% · ranks 85th of 98 · 239 roll calls

From Wisconsin, 2026

72%

Of itemized individual dollars · ranks 1651st of 1,983 State House Democrats

Out of committee

11%

Wisconsin House average 45% · ranks 83rd of 99

Talk-to-bills agreement

0.48

State House Democrats average 0.54 · ranks 369th of 503

CSIP ideology

−0.70

Left of 0, the centre of the scale · ± 0.05

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

Back to topNext: What politicians say

What Rivera-Wagner says

Rivera-Wagner attacks opponents personally about as often as the median State House Democrat. Personal attacks in 0.8% of 131 statements, against 2.5% for the average State House Democrat; 343rd of 764.

An AI model reads each of Rivera-Wagner’s 131 statements in the WI 2025–26 session (131 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 WI 2025–26 session

0%80%
Rivera-Wagner
Peers
Rank
Policy discussion34 statements
26%
39%
577th of 764
Credit claiming19 statements
14%
14%
325th of 764
Policy criticism14 statements
11%
10%
293rd of 764
Bipartisanship8 statements
6%
3%
109th of 764
Personal attacks1 statements
1%
3%
343rd of 764
Show the data
Rivera-Wagner's share of statements in each category against the State House Democrats average.
RowRivera-WagnerPeers
Policy discussion26%39%
Credit claiming14%14%
Policy criticism11%10%
Bipartisanship6%3%
Personal attacks1%3%
131

statements classified

131 posts on X.

posts on X: 131 (100.0%)posts on X 131
Show the data
Rivera-Wagner's statements by source
PartValue
posts on X131
How to read the bars

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

Extreme labels

Rivera-Wagner used extreme labels in 0.8% of statements, below the peer average. 1 statement; peers 1.0%.

  1. “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 WI 2025–26 session

Statements2025-01: 152025-02: 112025-03: 112025-04: 262025-05: 82025-06: 122025-07: 42025-08: 42025-09: 112025-10: 22025-11: 42025-12: 32026-01: 12026-02: 12026-03: 52026-04: 22026-05: 02026-06: 12026-07: 82026-08: 12026-09: 12026-10: 0peak 26 · Apr ’25Personal attackspeak 6.7% · Jan ’25 · latest 0.0%Personal attacks, 2025-01: 6.7% of 15Personal attacks, 2025-02: 0.0% of 11Personal attacks, 2025-03: 0.0% of 11Personal attacks, 2025-04: 0.0% of 26Personal attacks, 2025-05: not plotted (fewer than 10 statements)Personal attacks, 2025-06: 0.0% of 12Personal attacks, 2025-07: not plotted (fewer than 10 statements)Personal attacks, 2025-08: not plotted (fewer than 10 statements)Personal attacks, 2025-09: 0.0% of 11Personal attacks, 2025-10: not plotted (fewer than 10 statements)Personal attacks, 2025-11: not plotted (fewer than 10 statements)Personal attacks, 2025-12: not plotted (fewer than 10 statements)Personal attacks, 2026-01: not plotted (fewer than 10 statements)Personal attacks, 2026-02: not plotted (fewer than 10 statements)Personal attacks, 2026-03: not plotted (fewer than 10 statements)Personal attacks, 2026-04: not plotted (fewer than 10 statements)Personal attacks, 2026-05: not plotted (fewer than 10 statements)Personal attacks, 2026-06: not plotted (fewer than 10 statements)Personal attacks, 2026-07: not plotted (fewer than 10 statements)Personal 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 36.4% · Sep ’25 · latest 36.4%Policy criticism, 2025-01: 6.7% of 15Policy criticism, 2025-02: 9.1% of 11Policy criticism, 2025-03: 18.2% of 11Policy criticism, 2025-04: 7.7% of 26Policy criticism, 2025-05: not plotted (fewer than 10 statements)Policy criticism, 2025-06: 8.3% of 12Policy criticism, 2025-07: not plotted (fewer than 10 statements)Policy criticism, 2025-08: not plotted (fewer than 10 statements)Policy criticism, 2025-09: 36.4% of 11Policy criticism, 2025-10: not plotted (fewer than 10 statements)Policy criticism, 2025-11: not plotted (fewer than 10 statements)Policy criticism, 2025-12: not plotted (fewer than 10 statements)Policy criticism, 2026-01: not plotted (fewer than 10 statements)Policy criticism, 2026-02: not plotted (fewer than 10 statements)Policy criticism, 2026-03: not plotted (fewer than 10 statements)Policy criticism, 2026-04: not plotted (fewer than 10 statements)Policy criticism, 2026-05: not plotted (fewer than 10 statements)Policy criticism, 2026-06: not plotted (fewer than 10 statements)Policy criticism, 2026-07: not plotted (fewer than 10 statements)Policy 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 54.5% · Sep ’25 · latest 54.5%Policy discussion, 2025-01: 13.3% of 15Policy discussion, 2025-02: 45.5% of 11Policy discussion, 2025-03: 18.2% of 11Policy discussion, 2025-04: 23.1% of 26Policy discussion, 2025-05: not plotted (fewer than 10 statements)Policy discussion, 2025-06: 16.7% of 12Policy discussion, 2025-07: not plotted (fewer than 10 statements)Policy discussion, 2025-08: not plotted (fewer than 10 statements)Policy discussion, 2025-09: 54.5% of 11Policy discussion, 2025-10: not plotted (fewer than 10 statements)Policy discussion, 2025-11: not plotted (fewer than 10 statements)Policy discussion, 2025-12: not plotted (fewer than 10 statements)Policy discussion, 2026-01: not plotted (fewer than 10 statements)Policy discussion, 2026-02: not plotted (fewer than 10 statements)Policy discussion, 2026-03: not plotted (fewer than 10 statements)Policy discussion, 2026-04: not plotted (fewer than 10 statements)Policy discussion, 2026-05: not plotted (fewer than 10 statements)Policy discussion, 2026-06: not plotted (fewer than 10 statements)Policy discussion, 2026-07: not plotted (fewer than 10 statements)Policy 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 18.2% · Feb ’25 · latest 0.0%Bipartisanship, 2025-01: 0.0% of 15Bipartisanship, 2025-02: 18.2% of 11Bipartisanship, 2025-03: 0.0% of 11Bipartisanship, 2025-04: 11.5% of 26Bipartisanship, 2025-05: not plotted (fewer than 10 statements)Bipartisanship, 2025-06: 0.0% of 12Bipartisanship, 2025-07: not plotted (fewer than 10 statements)Bipartisanship, 2025-08: not plotted (fewer than 10 statements)Bipartisanship, 2025-09: 0.0% of 11Bipartisanship, 2025-10: not plotted (fewer than 10 statements)Bipartisanship, 2025-11: not plotted (fewer than 10 statements)Bipartisanship, 2025-12: not plotted (fewer than 10 statements)Bipartisanship, 2026-01: not plotted (fewer than 10 statements)Bipartisanship, 2026-02: not plotted (fewer than 10 statements)Bipartisanship, 2026-03: not plotted (fewer than 10 statements)Bipartisanship, 2026-04: not plotted (fewer than 10 statements)Bipartisanship, 2026-05: not plotted (fewer than 10 statements)Bipartisanship, 2026-06: not plotted (fewer than 10 statements)Bipartisanship, 2026-07: not plotted (fewer than 10 statements)Bipartisanship, 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 27.3% · Feb ’25 · latest 18.2%Credit claiming, 2025-01: 13.3% of 15Credit claiming, 2025-02: 27.3% of 11Credit claiming, 2025-03: 0.0% of 11Credit claiming, 2025-04: 7.7% of 26Credit claiming, 2025-05: not plotted (fewer than 10 statements)Credit claiming, 2025-06: 8.3% of 12Credit claiming, 2025-07: not plotted (fewer than 10 statements)Credit claiming, 2025-08: not plotted (fewer than 10 statements)Credit claiming, 2025-09: 18.2% of 11Credit claiming, 2025-10: not plotted (fewer than 10 statements)Credit claiming, 2025-11: not plotted (fewer than 10 statements)Credit claiming, 2025-12: not plotted (fewer than 10 statements)Credit claiming, 2026-01: not plotted (fewer than 10 statements)Credit claiming, 2026-02: not plotted (fewer than 10 statements)Credit claiming, 2026-03: not plotted (fewer than 10 statements)Credit claiming, 2026-04: not plotted (fewer than 10 statements)Credit claiming, 2026-05: not plotted (fewer than 10 statements)Credit claiming, 2026-06: not plotted (fewer than 10 statements)Credit claiming, 2026-07: not plotted (fewer than 10 statements)Credit 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 6.7% · Jan ’25 · latest 0.0%Extreme labels, 2025-01: 6.7% of 15Extreme labels, 2025-02: 0.0% of 11Extreme labels, 2025-03: 0.0% of 11Extreme labels, 2025-04: 0.0% of 26Extreme labels, 2025-05: not plotted (fewer than 10 statements)Extreme labels, 2025-06: 0.0% of 12Extreme 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 11Extreme labels, 2025-10: not plotted (fewer than 10 statements)Extreme labels, 2025-11: not plotted (fewer than 10 statements)Extreme labels, 2025-12: not plotted (fewer than 10 statements)Extreme labels, 2026-01: not plotted (fewer than 10 statements)Extreme labels, 2026-02: not plotted (fewer than 10 statements)Extreme labels, 2026-03: not plotted (fewer than 10 statements)Extreme labels, 2026-04: not plotted (fewer than 10 statements)Extreme labels, 2026-05: not plotted (fewer than 10 statements)Extreme labels, 2026-06: not plotted (fewer than 10 statements)Extreme labels, 2026-07: not plotted (fewer than 10 statements)Extreme 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 Rivera-Wagner, 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 ’25156.7%6.7%13.3%0.0%13.3%6.7%
Feb ’25110.0%9.1%45.5%18.2%27.3%0.0%
Mar ’25110.0%18.2%18.2%0.0%0.0%0.0%
Apr ’25260.0%7.7%23.1%11.5%7.7%0.0%
May ’258— (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 ’25120.0%8.3%16.7%0.0%8.3%0.0%
Jul ’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)
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 ’25110.0%36.4%54.5%0.0%18.2%0.0%
Oct ’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)
Nov ’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)
Dec ’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)
Jan ’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)
Feb ’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)
Mar ’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)
Apr ’262— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)— (fewer than 10 statements)
May ’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)
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 ’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)
Aug ’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)
Sep ’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)
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 WI 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%. 16 months are hatched here; 2 of them have no statements.

In Rivera-Wagner’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.

Apr 15, 2026 · Posts on X (state legislators) · policy discussion; bipartisanship; credit claiming; Government Operations and Politics; Economics and Public Finance · Source

Personal attacks

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

Jan 29, 2025 · Posts on X (state legislators) · personal attacks; target: DanRShafer · Source

Extreme label

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

Jan 29, 2025 · Posts on X (state legislators) · policy criticism; policy discussion; Education; Health; Housing and Community Development; Government Operations and Politics; Transportation and Public Works; extreme label “extreme” · 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: DanRShaferSource

All 131 statements

Newest first, the WI 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: 131 posts on X.

Back to topNext: Policy

Policy

Government Operations and Politics is what Rivera-Wagner talks about most: 47% of policy statements, 3.1 times the peer share. Talk and legislation agree at 0.48 on a 0–1 scale (State House Democrats average 0.54; 369th 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 Rivera-Wagner talks about. The bills Rivera-Wagner sponsors and cosponsors carry the same areas, so the two can be compared.

What Rivera-Wagner talks about

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

0%52%
Rivera-Wagner
Peers
Government Operations and Politics16 statements
47%
15%
Housing and Community Development6 statements
18%
6%
Education4 statements
12%
15%
Taxation4 statements
12%
4%
Economics and Public Finance3 statements
9%
11%
Show the data
Policy areas Rivera-Wagner talks about, as a share of policy statements, against the State House Democrats average.
RowRivera-WagnerPeers
Government Operations and Politics47%15%
Housing and Community Development18%6%
Education12%15%
Taxation12%4%
Economics and Public Finance9%11%
How to read the bars

The thick bar is the share of Rivera-Wagner’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 52%. Grey ticks are the State House Democrats averages.

Talks aboutLegislates onGovernment Operations andPoliticsGovernment Operations and Politics, talks about: 47% (State House Democrats 15%)47%Government Operations and Politics, legislates on: 10% (State House Democrats 8%)10%Housing and CommunityDevelopmentHousing and Community Development, talks about: 18% (State House Democrats 6%)18%Housing and Community Development, legislates on: 6% (State House Democrats 5%)6%EducationEducation, talks about: 12% (State House Democrats 15%)12%Education, legislates on: 13% (State House Democrats 10%)13%TaxationTaxation, talks about: 12% (State House Democrats 4%)12%Taxation, legislates on: 7% (State House Democrats 7%)7%Economics and Public FinanceEconomics and Public Finance, talks about: 9% (State House Democrats 11%)9%Economics and Public Finance, legislates on: 2% (State House Democrats 2%)2%
Show the data
Rivera-Wagner's share of statements against share of bills in each policy area.
AreaTalks aboutState House Democrats, talks aboutLegislates onState House Democrats, legislates on
Government Operations and Politics47%15%10%8%
Housing and Community Development18%6%6%5%
Education12%15%13%10%
Taxation12%4%7%7%
Economics and Public Finance9%11%2%2%
0.48

talk-to-bills agreement, 0 to 1

State House Democrats average 0.54. Ranks 369th of 503.

What agreement means, and what it doesn’t

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

Back to topNext: Ideology

Ideology

Rivera-Wagner sits at −0.70 on the CSIP scale, left of 0, more liberal than 62% of State House Democrats. Approximate range −0.75 to −0.65, which understates the uncertainty; from 527 donors and 175 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”.

−0.70

CSIP ideal point

Approximate range −0.75 to −0.65. From 527 donors and 175 roll calls. Run 2026-10-25T215945. Blue is left of 0, red right of 0.

← More liberalMore conservative →0Rivera-Wagner −0.7State House Democrats −0.6Wisconsin House +0.5All State House +0.1

The outlined dot is Rivera-Wagner, 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 Rivera-Wagner’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 Rivera-Wagner 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 −0.6Rivera-Wagner −0.7Wisconsin Housemedian +0.5All State Housemedian +0.1
Show the data
Rivera-Wagner's CSIP score of −0.70 placed against State House Democrats, Wisconsin House, All State House.
GroupOfficialsMedianShare left of Rivera-Wagner
State House Democrats2392−0.638%
Wisconsin House99+0.517%
All State House5324+0.117%
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 Rivera-Wagner 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 Rivera-Wagner.

Back to topNext: Money

Money

Rivera-Wagner reported $23.3K in the 2026 cycle, below the State House Democrats’ median of $40.4K. State filings report no small-donation total. 72% of itemized individual money came from Wisconsin.

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.

Election cycle
$23.3K

itemized in the 2026 cycle

From 136 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): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)Individuals (itemized): $17.5K (75.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)PACs and other committees: $5,173 (22.2%)Party committees: $605 (2.6%)Party committees: $605 (2.6%)Party committees: $605 (2.6%)
  • Individuals (itemized)75 squares$17.5K
  • PACs and other committees22 squares$5,173
  • Party committees3 squares$605
Show the data
Sources of Rivera-Wagner's money, 2026 cycle, one square per percent
SourceAmountShare
Individuals (itemized)$17.5K75.2%
PACs and other committees$5,17322.2%
Party committees$6052.6%
What this means, and what it doesn’t

Totals say how much a campaign took in, not how it was spent, and they rise sharply when a seat is up for election; compare cycles with that in mind.

Receipts by cycle

Itemized contributions, 2024 to 2026. The grey line is the State House Democrats’ median for 2026.

2024 cycle: $51.6K$51.6K20242026 cycle: $23.3K$23.3K2026State House Democrats median $40.4K
Show the data
Rivera-Wagner's receipts by cycle against the 2026 State House Democrats median.
ItemValue
2024 cycle$51.6K
2026 cycle$23.3K

Top donor states, 2026

Itemized contributions by donor state. 72% came from Wisconsin.

  1. Wisconsin$12.6K
  2. Pennsylvania$2,000
  3. Massachusetts$1,795
  4. California$459
  5. Minnesota$250

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

Alaska: no dataAKMaine: no dataMEVermont: no dataVTNew Hampshire: no dataNHWashington: no dataWAIdaho: $6IDMontana: no dataMTNorth Dakota: no dataNDMinnesota: $250MNIllinois: no dataILWisconsin: $12.6KWIMichigan: $120MINew York: $36NYRhode Island: no dataRIMassachusetts: $1,795MAOregon: no dataORNevada: no dataNVWyoming: no dataWYSouth Dakota: no dataSDIowa: $60IAIndiana: no dataINOhio: no dataOHPennsylvania: $2,000PANew Jersey: no dataNJConnecticut: no dataCTCalifornia: $459CAUtah: no dataUTColorado: no dataCONebraska: no dataNEMissouri: $100MOKentucky: no dataKYWest Virginia: no dataWVVirginia: no dataVAMaryland: no dataMDDelaware: no dataDEArizona: no dataAZNew Mexico: no dataNMKansas: no dataKSArkansas: no dataARTennessee: no dataTNNorth Carolina: $15NCSouth Carolina: no dataSCDistrict of Columbia: no dataDCOklahoma: no dataOKLouisiana: no dataLAMississippi: no dataMSAlabama: no dataALGeorgia: no dataGAHawaii: no dataHITexas: $50TXFlorida: no dataFL
Show the data
Rivera-Wagner's itemized individual contributions by donor state, 2026 cycle
StateValue
Wisconsin$12.6K
Pennsylvania$2,000
Massachusetts$1,795
California$459
Minnesota$250
Michigan$120
Missouri$100
Iowa$60
Texas$50
New York$36
North Carolina$15
Idaho$6
AlaskaNo data
MaineNo data
VermontNo data
New HampshireNo data
WashingtonNo data
MontanaNo data
North DakotaNo data
IllinoisNo data
Rhode IslandNo data
OregonNo data
NevadaNo data
WyomingNo data
South DakotaNo data
IndianaNo data
OhioNo data
New JerseyNo data
ConnecticutNo data
UtahNo data
ColoradoNo data
NebraskaNo data
KentuckyNo data
West VirginiaNo data
VirginiaNo data
MarylandNo data
DelawareNo data
ArizonaNo data
New MexicoNo data
KansasNo data
ArkansasNo data
TennesseeNo data
South CarolinaNo data
District of ColumbiaNo data
OklahomaNo data
LouisianaNo data
MississippiNo data
AlabamaNo data
GeorgiaNo data
HawaiiNo data
FloridaNo data
136

itemized donors

People who gave more than $200

72%

from Wisconsin

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 Wisconsin. Gifts of $200 or less carry no address and are left out.

Top donor occupations

Itemized, 2026 cycle.

  1. RETIRED$1,788 3 donors

Top committees

PAC and committee contributions, 2026 cycle.

  1. FRIENDS OF ANDREA GAGE$1,000
  2. WEAC PAC$1,000
  3. WEAC REGION 3 PAC$1,000
  4. AFT-WISCONSIN$500
  5. DEMOCRATIC PARTY OF BROWN COUNTY$500

Top employers

Itemized, 2026 cycle.

No employers reported.

Aggregates only. Individual donors are never named.

Back to topNext: Votes

Votes

Rivera-Wagner voted with the majority of Wisconsin House Democrats on 92.7% of party-line votes and missed 8.0% of 239 roll calls. Wisconsin House on average: 97.6% party unity, 97.7% attendance. Across all roll calls, Rivera-Wagner voted against the majority of Wisconsin House Democrats 11 times.

239 roll calls Rivera-Wagner could vote on in the WI 2025–26 session, compared with Wisconsin 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 Rivera-Wagner voted with the majority of Wisconsin 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 Wisconsin House Democrats

Party unity 92.7%, Wisconsin House average 97.6%, ranks 87th of 98. 239 roll calls in the WI 2025–26 session.

Attendance and party unity

The thick bar is Rivera-Wagner, the thin grey bar the Wisconsin House average. The scale runs from 80% to 100% to show the gap.

80%100%
Rivera-Wagner
Peers
Rank
Attendance
92.0%
97.7%
85th of 98
Party unity
92.7%
97.6%
87th of 98
Show the data
Rivera-Wagner's attendance and party unity against Wisconsin House.
RowRivera-WagnerPeers
Attendance92.0%97.7%
Party unity92.7%97.6%
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 WI 2025–26 session

Key votes
Party split (yea–nay)Why it’s key
May 13, 2026
AB 1
Relating to: an income tax subtraction for qualified tips and for qualified overtime compensation; state aid for school districts; surplus refund payments; increasing funding for special education and school age parents programs; state aid to technical colleges and the technical college district rev
PASSAGE
NayWith majoritypassD 10–32 · R 50–0Democrats 10 yea, 32 nay; Republicans 50 yea, 0 nayparty crossover · much discussed
Feb 19, 2026
SB 181
Relating to: a levy limit exemption for regional emergency medical systems and eligibility for the expenditure restraint incentive program. (FE)
CONCURRENCE
Did not vote—passD 40–0 · R 51–1Democrats 40 yea, 0 nay; Republicans 51 yea, 1 naybecame law
Feb 19, 2026
AB 659
Relating to: tuition and fee remission or grants for certain veterans and their dependents enrolled in the University of Wisconsin System, a technical college, or a private nonprofit institution of higher education; and the University of Wisconsin System nonresident tuition exemption for certain vet
PASSAGE
YeaWith majoritypassD 40–2 · R 53–0Democrats 40 yea, 2 nay; Republicans 53 yea, 0 naybecame law
Feb 19, 2026
AB 997
Relating to: funding for the Department of Financial Institutions for contributions to Trump accounts and making an appropriation. (FE)
PASSAGE
NayWith majoritypassD 9–34 · R 52–1Democrats 9 yea, 34 nay; Republicans 52 yea, 1 nayparty crossover
Feb 19, 2026
SB 439
Relating to: levy increase limit for the village of Oregon and the towns of Oregon and Rutland. (FE)
CONCURRENCE
YeaWith majoritypassD 42–0 · R 53–0Democrats 42 yea, 0 nay; Republicans 53 yea, 0 naybecame 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 Rivera-Wagner most often

  1. Tip McGuireD220 shared votes97%
  2. Randy UdellD220 shared votes96%
  3. Joe SheehanR208 shared votes96%
  4. Clint AndersonD217 shared votes96%
  5. Deb AndracaD212 shared votes96%

Votes least often with

The colleagues who voted the same way as Rivera-Wagner least often

  1. Chuck WichgersR220 shared votes40%
  2. Brent JacobsonR215 shared votes40%
  3. Jessie RodriguezR216 shared votes41%
  4. Jim PiwowarczykR218 shared votes41%
  5. Elijah BehnkeR220 shared votes41%
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

WI 2025–26 session, loads in batches

Back to topNext: Legislation

Legislation

Rivera-Wagner sponsored 246 bills in the WI 2025–26 session; 6 became law. Cosponsored 0 others. 11% of sponsored bills got out of committee (Wisconsin House average 45%; 83rd of 99).

The bills Rivera-Wagner sponsored and cosponsored in the WI 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 WI 2025–26 session

Sponsored246 billsSponsored, Introduced: 246246Sponsored, In committee: 246246Sponsored, Passed one chamber: 1919Sponsored, Passed both chambers: 66Sponsored, Became law: 66Cosponsored0 billsCosponsored, Introduced: 00Cosponsored, In committee: 00Cosponsored, Passed one chamber: 00Cosponsored, Passed both chambers: 00Cosponsored, Became law: 00IntroducedIncommitteePassed onechamberPassed bothchambersBecamelaw
Show the data
Bills Rivera-Wagner sponsored and cosponsored, by furthest stage reached
RoleIntroducedIn committeePassed one chamberPassed both chambersBecame law
Sponsored2462461966
Cosponsored00000
How to read the blocks

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

11%

of sponsored bills got out of committee

Wisconsin House average 45%. Ranks 83rd of 99.

Cosponsorship partners

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

  1. Christine Sinicki79
  2. Margaret Arney72
  3. Vinnie Miresse71
  4. Shelia Stubbs70
  5. Ryan Clancy67
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 Rivera-Wagner’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
AB 1232Relating to: a University of Wisconsin System nonresident tuition exemption. (FE)SponsorMar 19, 2026In committeeEducation(model)Fiscal estimate received Apr 17, 2026
AB 1209Relating to: modifying the income and franchise tax rate structure for individuals and corporations, creating a school aid fund, supplemental school aid, school district revenue limits, and making an appropriation. (FE)SponsorMar 19, 2026In committeeTaxation(model)Fiscal estimate received Apr 16, 2026
AJR 149Relating to: honoring the life and public service of Rev. Jesse L. Jackson.SponsorMar 19, 2026In committeeUnassignedFailed to adopt pursuant to Senate Joint Resolution 1 Mar 23, 2026
AB 1215Relating to: management and preservation of records and correspondence of members of the legislature. (FE)SponsorMar 19, 2026In committeeGovernment Operations and Politics(model)Failed to pass pursuant to Senate Joint Resolution 1 Mar 23, 2026
AB 1231Relating to: the distribution of the Wisconsin Blue Book and highway maps. (FE)SponsorMar 19, 2026In committeeGovernment Operations and Politics(model)Fiscal estimate received Apr 6, 2026

Back to topNext: Online

Online

A site that changed 28 times in 90 days. Rivera-Wagner’s campaign site had 25 pages when last crawled on Oct 1, 2026.

The lab crawls Rivera-Wagner’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 Rivera-Wagner posts with a vision model.

Websites

  • Campaign site

    www.amaadforgb.com

    Last crawled Oct 1, 2026

    25

    pages crawled

    28

    changes 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.

Images Rivera-Wagner posted

No images from Rivera-Wagner’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 Rivera-Wagner 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
998f8ecc-8772-44f4-a81d-622f567c0142
Open States
ocd-person/998f8ecc-8772-44f4-a81d-622f567c0142

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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