Policy discussion
The text of this post is on X; follow the source link to read it.
Oct 25, 2026 · Posts on X (state legislators) · policy discussion; Government Operations and Politics · Source
$357.1K
in itemized contributions in the 2026 cycle, in the top quarter of State Senate Democrats
The median for State Senate Democrats is $55.5K. Ranks 84th of 746, where 1st raised the most. 785 itemized donors.
Itemized contributions reported to the state in the 2026 cycle, ranked among State Senate Democrats. State filings leave small gifts out, and totals depend on whether the seat is up this cycle.
At a glance
6 measures against State Senate Democrats. Fahy sits at −0.51 on the CSIP scale, more conservative than 71% of State Senate Democrats. The policy areas Fahy talks about and legislates on agree at 0.52 on a 0–1 scale, in the bottom half of State Senate Democrats.
The measures on which Fahy sits furthest from the middle of State Senate Democrats, each against the same group, with the CSIP score when there is one. Every number is explained in its own section below.
Itemized, 2026
$357.1K
State Senate Democrats’ median $55.5K · ranks 84th of 746
Attendance
100%
New York Senate average 94.5% · ranks 10th of 62 · 3,522 roll calls
CSIP ideology
−0.51
More conservative than 71% of State Senate Democrats · ± 0.04
Talk-to-bills agreement
0.52
State Senate Democrats average 0.56 · ranks 164th of 228
From New York, 2026
97%
Of itemized individual dollars · ranks 229th of 714 State Senate Democrats
Out of committee
42%
New York Senate average 44% · ranks 32nd of 62
Peer group: State Senate Democrats. Rank 1 is the highest value in the group; the thick bar is Fahy, the thin grey bar the peer average. The headline is the measure on which Fahy is most unusual among peers (Methods, §08).
What Fahy says
Fahy stresses bipartisanship less than 88% of State Senate Democrats. Bipartisanship in 0% of 138 statements, against 3.4% for the average State Senate Democrat; 294th of 329.
An AI model reads each of Fahy’s 138 statements in the NY 2025–26 session (138 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 Senate Democrats and ranked among them.
Kinds of statement
Share of statements carrying each label, the NY 2025–26 session
0%80%
Fahy
Peers
Rank
Policy discussion62 statements
45%
43%
163rd of 329
Credit claiming13 statements
9%
16%
210th of 329
Policy criticism6 statements
4%
10%
215th of 329
Personal attacks0 statements
0%
2%
248th of 329
Bipartisanship0 statements
0%
3%
294th of 329
Show the data
| Row | Fahy | Peers |
|---|---|---|
| Policy discussion | 45% | 43% |
| Credit claiming | 9% | 16% |
| Policy criticism | 4% | 10% |
| Personal attacks | 0% | 2% |
| Bipartisanship | 0% | 3% |
138
statements classified
138 posts on X.
Show the data
| Part | Value |
|---|---|
| posts on X | 138 |
How to read the bars
The thick bar is Fahy; the thin grey bar is the average State Senate Democrats. A longer thick bar means Fahy does this more than peers. Rank 1 is the highest rate in the group.
Extreme labels
Fahy used no extreme labels in 138 statements. The peer average is 0.8%.
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 NY 2025–26 session
Show the data
| Column | Statements | Personal attacks | Policy criticism | Policy discussion | Bipartisanship | Credit claiming | Extreme labels |
|---|---|---|---|---|---|---|---|
| Jan ’25 | 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) |
| Feb ’25 | 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 ’25 | 0 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Apr ’25 | 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) |
| May ’25 | 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) |
| Jun ’25 | 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) |
| Jul ’25 | 1 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Aug ’25 | 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) |
| Sep ’25 | 6 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Oct ’25 | 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) |
| Nov ’25 | 6 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Dec ’25 | 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) |
| Jan ’26 | 0 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Feb ’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) |
| Mar ’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) |
| Apr ’26 | 0 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| May ’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) |
| Jun ’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) |
| Jul ’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) |
| Aug ’26 | 4 | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) | — (fewer than 10 statements) |
| Sep ’26 | 37 | 0.0% | 0.0% | 56.8% | 0.0% | 8.1% | 0.0% |
| Oct ’26 | 46 | 0.0% | 2.2% | 60.9% | 0.0% | 10.9% | 0.0% |
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 NY 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%. 20 months are hatched here; 3 of them have no statements.
In Fahy’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.
Oct 19, 2026 · Posts on X (state legislators) · policy discussion; credit claiming; Crime and Law Enforcement; Law · Source
Policy criticism
The text of this post is on X; follow the source link to read it.
Oct 8, 2026 · Posts on X (state legislators) · policy criticism; policy discussion; Foreign Trade and International Finance; Commerce; Labor and Employment · Source
Examples by category
Up to five recent statements in each category
Overtly questions a named person’s character, integrity or loyalty, or calls them names. Criticising a record or a policy does not count.
No statements in this category in this window.
All 138 statements
Newest first, the NY 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: 138 posts on X.
Policy
Government Operations and Politics is what Fahy talks about most: 34% of policy statements, 2.4 times the peer share. Talk and legislation agree at 0.52 on a 0–1 scale (State Senate Democrats average 0.56; 164th of 228).
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 Fahy talks about. The bills Fahy sponsors and cosponsors carry the same areas, so the two can be compared.
What Fahy talks about
Share of policy statements by area, the NY 2025–26 session
0%37%
Fahy
Peers
Government Operations and Politics21 statements
34%
14%
Economics and Public Finance11 statements
18%
10%
Labor and Employment10 statements
16%
6%
Health8 statements
13%
17%
Crime and Law Enforcement7 statements
11%
8%
Show the data
| Row | Fahy | Peers |
|---|---|---|
| Government Operations and Politics | 34% | 14% |
| Economics and Public Finance | 18% | 10% |
| Labor and Employment | 16% | 6% |
| Health | 13% | 17% |
| Crime and Law Enforcement | 11% | 8% |
How to read the bars
The thick bar is the share of Fahy’s policy statements in an area; the thin grey bar is the average share for State Senate 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 37%. Grey ticks are the State Senate Democrats averages.
Show the data
| Area | Talks about | State Senate Democrats, talks about | Legislates on | State Senate Democrats, legislates on |
|---|---|---|---|---|
| Government Operations and Politics | 34% | 14% | 7% | 8% |
| Economics and Public Finance | 18% | 10% | 2% | 3% |
| Labor and Employment | 16% | 6% | 4% | 6% |
| Health | 13% | 17% | 21% | 15% |
| Crime and Law Enforcement | 11% | 8% | 9% | 9% |
0.52
talk-to-bills agreement, 0 to 1
State Senate Democrats average 0.56. Ranks 164th of 228.
What agreement means, and what it doesn’t
Agreement is 1 minus the distance between the two distributions (Jensen–Shannon): 1 means Fahy legislates on exactly the areas Fahy 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 Fahy sponsored count fully, cosponsored bills a quarter. Shown with at least 20 policy statements and 5 bills.
Ideology
Fahy sits at −0.51 on the CSIP scale, left of 0, more conservative than 71% of State Senate Democrats. Approximate range −0.55 to −0.48, which understates the uncertainty; from 1,404 donors and 1,178 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”.
−0.51
CSIP ideal point
Approximate range −0.55 to −0.48. From 1,404 donors and 1,178 roll calls. Run 2026-10-25T215945. Blue is left of 0, red right of 0.
The outlined dot is Fahy, 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 Fahy’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 Fahy sits
Every official in each group, on the CSIP scale
State Senate Democrats825 · median −0.7
New York Senate62 · median −0.5
All State Senate1,909 · median +0.1
Show the data
| Group | Officials | Median | Share left of Fahy |
|---|---|---|---|
| State Senate Democrats | 825 | −0.7 | 71% |
| New York Senate | 62 | −0.5 | 53% |
| All State Senate | 1909 | +0.1 | 31% |
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 Fahy 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 Fahy.
Money
Fahy reported $357.1K in the 2026 cycle, 6.4 times the State Senate Democrats’ median of $55.5K. State filings report no small-donation total. 97% of itemized individual money came from New York.
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.
$357.1K
itemized in the 2026 cycle
From 785 itemized donors. State Senate Democrats’ median $55.5K.
Where the money came from
Each square is one percent of itemized contributions in the 2026 cycle.
- Individuals (itemized)51 squares$181.6K
- PACs and other committees48 squares$172.1K
- Party committees1 squares$3,500
Show the data
| Source | Amount | Share |
|---|---|---|
| Individuals (itemized) | $181.6K | 50.8% |
| PACs and other committees | $172.1K | 48.2% |
| Party committees | $3,500 | 1.0% |
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, 2020 to 2026. The grey line is the State Senate Democrats’ median for 2026.
Show the data
| Item | Value |
|---|---|
| 2020 cycle | $83.6K |
| 2022 cycle | $112.7K |
| 2024 cycle | $348.9K |
| 2026 cycle | $357.1K |
Top donor states, 2026
Itemized contributions by donor state. 97% came from New York.
- New York$176.8K
- Florida$1,310
- Tennessee$1,000
- Illinois$1,000
- Massachusetts$500
Small donations
State filings report no total for small gifts.
Not reported in state filings.
Where itemized donors live
Individuals who gave more than $200, by donor state
Show the data
| State | Value |
|---|---|
| New York | $176.8K |
| Florida | $1,310 |
| Illinois | $1,000 |
| Tennessee | $1,000 |
| Massachusetts | $500 |
| Maryland | $300 |
| Arizona | $250 |
| Virginia | $150 |
| Indiana | $100 |
| District of Columbia | $100 |
| Oregon | $46 |
| Alaska | No data |
| Maine | No data |
| Vermont | No data |
| New Hampshire | No data |
| Washington | No data |
| Idaho | No data |
| Montana | No data |
| North Dakota | No data |
| Minnesota | No data |
| Wisconsin | No data |
| Michigan | No data |
| Rhode Island | No data |
| Nevada | No data |
| Wyoming | No data |
| South Dakota | No data |
| Iowa | No data |
| Ohio | No data |
| Pennsylvania | No data |
| New Jersey | No data |
| Connecticut | No data |
| California | No data |
| Utah | No data |
| Colorado | No data |
| Nebraska | No data |
| Missouri | No data |
| Kentucky | No data |
| West Virginia | No data |
| Delaware | No data |
| New Mexico | No data |
| Kansas | No data |
| Arkansas | No data |
| North Carolina | No data |
| South Carolina | No data |
| Oklahoma | No data |
| Louisiana | No data |
| Mississippi | No data |
| Alabama | No data |
| Georgia | No data |
| Hawaii | No data |
| Texas | No data |
785
itemized donors
People who gave more than $200
97%
from New York
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 New York. Gifts of $200 or less carry no address and are left out.
Top donor occupations
Itemized, 2026 cycle.
- NOT EMPLOYED$27.2K 96 donors
- RETIRED$21.3K 66 donors
- CONSULTANT$12.9K 22 donors
- ATTORNEY$8,266 27 donors
- LOBBYIST$8,050 14 donors
Top committees
PAC and committee contributions, 2026 cycle.
- CAIPA PAC$6,000
- ASC PAC$5,000
- FRIENDS OF MIKE GIANARIS$5,000
- NASRCC$5,000
- NEW YORK STATE LABORERS POLITICAL ACTION$4,500
Top employers
Itemized, 2026 cycle.
- GALESI GROUP$2,654 3 donors
- BOLTON-ST. JOHNS$2,400 3 donors
- SUNY ALBANY$1,750 3 donors
- REID MCNALLY AND SAVAGE$1,250 3 donors
- SUNY$1,200 4 donors
Aggregates only. Individual donors are never named.
Votes
Fahy voted with the majority of New York Senate Democrats on 99.1% of party-line votes and missed none of 3,522 roll calls. New York Senate on average: 93.2% party unity, 94.5% attendance. Across all roll calls, Fahy voted against the majority of New York Senate Democrats 45 times.
3,522 roll calls Fahy could vote on in the NY 2025–26 session, compared with New York Senate. 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 Fahy voted with the majority of New York Senate Democrats. The count of votes against that majority covers every roll call where the majority took a side.
45
votes against the majority of New York Senate Democrats
Party unity 99.1%, New York Senate average 93.2%, ranks 31st of 62. 3,522 roll calls in the NY 2025–26 session.
Attendance and party unity
The thick bar is Fahy, the thin grey bar the New York Senate average. The scale runs from 80% to 100% to show the gap.
80%100%
Fahy
Peers
Rank
Attendance
100%
94.5%
10th of 62
Party unity
99.1%
93.2%
31st of 62
Show the data
| Row | Fahy | Peers |
|---|---|---|
| Attendance | 100% | 94.5% |
| Party unity | 99.1% | 93.2% |
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 NY 2025–26 session
| Party split (yea–nay) | Why it’s key | |||||
|---|---|---|---|---|---|---|
| Jun 4, 2026 | R 2355 Establishes a plan setting forth an itemized list of grantees for a certain appropriation for the 2026-27 state fiscal year for additional grants in aid to certain school districts, public libraries Floor Vote | Yea | With majority | pass | D 38–0 · R 15–7Democrats 38 yea, 0 nay; Republicans 15 yea, 7 nay | party crossover |
| Jun 4, 2026 | A 11538 Extends the expansion of eligibility for World Trade Center death and disability benefits for members of New York's organized militia Floor Vote | Yea | With majority | pass | D 38–0 · R 22–0Democrats 38 yea, 0 nay; Republicans 22 yea, 0 nay | became law |
| Jun 4, 2026 | Yea | With majority | pass | D 38–0 · R 8–14Democrats 38 yea, 0 nay; Republicans 8 yea, 14 nay | party crossover | |
| Jun 4, 2026 | Yea | With majority | pass | D 38–0 · R 22–0Democrats 38 yea, 0 nay; Republicans 22 yea, 0 nay | became law | |
| Jun 4, 2026 | S 10223 Authorizes the South End Children's Cafe to file an application for a retroactive real property tax exemption with the city of Albany assessor Floor Vote - Version: A | Yea | With majority | pass | D 37–1 · R 21–1Democrats 37 yea, 1 nay; Republicans 21 yea, 1 nay | became law |
How key votes are chosen
Automatically: a final-passage or override vote where the measure became law, the margin was under 10%, at least 10% of either party voted against its majority, or the bill was among the 25 most mentioned in officials’ own statements. Up to 25 per window, most recent first; five are shown. Bars show yea on the left, nay on the right, per party.
Votes most often with
The colleagues who voted the same way as Fahy most often
- Zellnor MyrieD2,217 shared votes99%
- Erik BottcherD1,563 shared votes99%
- Jeremy ZellnerD1,581 shared votes99%
- Jessica RamosD2,531 shared votes99%
- Kevin ParkerD2,460 shared votes99%
Votes least often with
The colleagues who voted the same way as Fahy least often
- Mark WalczykR3,494 shared votes63%
- Alexis WeikR3,473 shared votes70%
- Tom O'MaraR3,400 shared votes73%
- Rob OrttR3,487 shared votes73%
- George BorrelloR3,473 shared votes74%
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
NY 2025–26 session, loads in batches
Legislation
Fahy sponsored 239 bills in the NY 2025–26 session; 16 became law. Cosponsored 626 others. 42% of sponsored bills got out of committee (New York Senate average 44%; 32nd of 62).
The bills Fahy sponsored and cosponsored in the NY 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 NY 2025–26 session
Show the data
| Role | Introduced | In committee | Passed one chamber | Passed both chambers | Became law |
|---|---|---|---|---|---|
| Sponsored | 239 | 239 | 50 | 18 | 16 |
| Cosponsored | 626 | 626 | 388 | 38 | 18 |
How to read the blocks
Ink blocks are bills Fahy sponsored, ochre blocks bills Fahy cosponsored; the figure above each block is the count. Most bills in any legislature never leave committee, so a short staircase is the norm.
42%
of sponsored bills got out of committee
New York Senate average 44%. Ranks 32nd of 62.
Cosponsorship partners
Colleagues who most often cosponsor with Fahy, by number of shared bills in the NY 2025–26 session; the square shows their party.
- Robert Jackson143
- Rachel May109
- Cordell Cleare100
- Lea Webb96
- Julia Salazar93
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 Fahy’s bills; the toggle shows more.
Bill list
Sponsored and cosponsored, with status and policy area; five are shown, the toggle shows the rest
| S 10722 | Prohibits healthcare non-compete agreements and certain restrictive covenants | Cosponsor | Oct 16, 2026 | In committee | Labor and Employment(model) | REFERRED TO RULES Oct 16, 2026 |
| S 10715 | Prohibits school districts from authorizing a currently enrolled public school student from being home schooled in certain circumstances | Sponsor | Oct 2, 2026 | In committee | Education(model) | REFERRED TO RULES Oct 2, 2026 |
| S 10714 | Establishes enhanced educational continuity reviews for certain students transitioning to home instruction | Sponsor | Oct 2, 2026 | In committee | Education(model) | REFERRED TO RULES Oct 2, 2026 |
| S 10704 | Makes all state lands subject to taxation for all purposes | Cosponsor | Sep 23, 2026 | In committee | Taxation(model) | REFERRED TO RULES Sep 23, 2026 |
| S 10701 | Enacts the technical evaluation, risk monitoring, incident notification, AI testing, oversight, and response act or the TERMINATOR Act | Sponsor | Sep 18, 2026 | In committee | Science, Technology, Communications(model) | RECOMMIT, ENACTING CLAUSE STRICKEN Sep 18, 2026 |
Online
A site that has not changed in 90 days. Fahy’s official site had 0 pages when last crawled.
The lab crawls Fahy’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 Fahy posts with a vision model.
Websites
- 0
pages crawled
0changes in 90 days
- 21
pages crawled
24changes 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 Fahy posted
No images from Fahy’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
1,109 turns, Jan 27, 2020 to Jun 4, 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 Fahy is most unusual among State Senate 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
- a3e0c7bc-45f6-4a6b-a092-1c124c149a6d
- Open States
- ocd-person/a3e0c7bc-45f6-4a6b-a092-1c124c149a6d
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