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← Aidan Farrelly

Rhetoric and votes

Aidan Farrelly

Experimental measure. Read the method before quoting a number.
This compares the position a member expressed in a debate with the way they voted in the division that debate produced. It is not a measure of honesty. A member who argues against a Bill and then votes against it scores as aligned; so does one who never departs from a party line they also argue for. Voting against your own stated view under a party whip is ordinary parliamentary behaviour, which is why the whip breakdown below sits next to the headline rather than underneath it. Full method and validation →
91%
aligned on 11 scorable votes · 95% CI 62–98%
100%
voted with their own party's majority · 360 votes

Why the denominator is small

The measure only exists where this member actually spoke in the debate their vote belongs to, and where that vote can be tied to a specific question. Both cuts are steep.

Votes cast361
… spoke in that debate section30
… vote tied to a specific question16
… position stated clearly enough to score0

The third row is the sharpest cut. A committee-stage sitting can hold fifteen divisions while its speeches discuss forty-two numbered amendments, and the record does not say which amendment each division was. Those votes are counted here and deliberately left unscored rather than guessed.

Alignment against the whip

The same scorable votes, split by whether the member went with their party. The top-right cell is the one worth reading: a stated position reversed while following the party line.

Voted with own partyVoted against own party
Matched their words 10 0
Contradicted their words 1 0

Not scored: 18 where the vote could not be tied to a question, 5 where no clear position was stated in the debate.

Tone

Valence runs −1 (negative) to +1 (positive). This is a separate measure from alignment above and says nothing about how anyone voted — "the Minister has been asleep at the wheel" is strongly negative and carries no position on the question.

ModelSpeeches scored Mean valenceCorpus mean
vader192 +0.432 +0.423

Which policies move them

Mean tone by topic, most negative first. Topics come from an LDA model fitted over debate contributions; the terms are the model's, the labels are hand-assigned.

TopicSpeechesMean valence
Party-political exchange (party names dominate) workers · rights · right · sinn · féin · irish 5 +0.475
Education and schools school · education · schools · children · students · special 9 +0.496
Legislation, courts and legal process act · legislation · shall · court · person · information 8 +0.524
Children, families and young people children · women · young · child · family · families 13 +0.674
Procedural and rhetorical filler (low-content) important · like · good · debate · did · does 20 +0.726

Departures from their own baseline

Contributions whose tone sits more than two standard deviations from this member's own average. Baselines are per member on purpose — an absolute threshold would just rank people by temperament.

2025-06-25 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -2.5
The Government's redress scheme for survivors of mother and baby homes is discriminatory and unjust. That is not my assessment; it is the view of the special advocate for survivors, who has examined the scheme. In her report, Patricia Carey says the scheme has…

Full contribution →

2025-06-18 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -2.5
The Taoiseach has said that a key issue for him in the budget will be child poverty. I agree with the focus, but his words ring very hollow because we have heard all this before. The previous Government made reducing child poverty a priority. What has happened…

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2025-12-10 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -2.4
Cancer patients in Kildare not only have to contend with a significant commute to access treatment, but they will also likely face the double cost of paying significant car parking charges. According to the Irish Cancer Society, this puts a substantial and unn…

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2026-02-10 · International Protection Bill 2026: Second Stage (Resumed) · z = -2.2 · Legislation, courts and legal process
The Bill has not put any children's rights safeguarding measures in place whatsoever. It does not speak about children first or rights. It speaks of detention in the same breath as talking about the best interests of the child. The Bill legislates for the dete…

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2025-10-15 · Ceisteanna ar Pholasaí nó ar Reachtaíocht - Questions on Policy or Legislation · z = -2.1
We have seen the media reporting today that there is yet another delay in the delivery of the national paediatric hospital. This is the 16th delay. Over 2,100 bedrooms are currently not compliant. There are 63,000 issues on the snag list. When does the Governm…

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The whip, across the whole corpus

Alignment by the party a member sat for on the day, with 95% Wilson intervals. This is the test the measure could have failed.

PartyAligned95% CI n
PBP 82.5% 68–91% 40
LAB 78.2% 69–85% 101
IND 76.5% 72–81% 327
SF 75.8% 69–81% 198
SD 71.4% 58–82% 49
FG 69.1% 62–76% 162
FF 67.9% 60–75% 165
GP 56.8% 41–71% 37

Members of government parties align their stated position with their vote 9.4 points less often than Independents — bootstrap 95% CI [+2.7, +16.0], which excludes zero. Opposition parties sit 9.5 points above government too, CI [+3.1, +15.9]. Independents and opposition members are indistinguishable from each other (−0.0 points, CI [−6.3, +6.2]). So the gap does not come from having no party; it comes from being in government, which is what a whip effect should look like. Read this as the measure behaving sensibly, not as a finding about any individual.

How the scorer scores

Two automated methods were built and both failed. What survives is the rule-based layer, which is why the coverage above is narrow.

MethodAccuracy95% CI n
nli-vs-mover-anchor:deberta 35.9% 29–42% 234
nli-vs-mover-anchor:distilroberta 11.5% 8–16% 234

Zero-shot entailment was asked to judge contributions whose true position is known — the member moved the amendment, so the answer is support by construction — and got it right 11.5% of the time, returning "unclear" or "oppose" for nearly everything. A classifier trained on the rule-labelled cases over the corpus embeddings reached 71.1% against a 65.3% majority-class baseline: better than chance, not better enough. Both are excluded from every figure on this page. Only the rule-based cascade, which is exact where it fires and silent where it does not, is used.

Method

Position is read from the member's own contributions in the debate section the division belongs to, by a three-step cascade: an explicit move of the question ("I move amendment No. 5", true by construction); declarative stance phrases ordered so negations are tested first, because "I cannot support" and "I do not oppose" both defeat a naive keyword match; and, where neither fires, a zero-shot entailment model judging the contribution against the question put. Tone uses a separate model and is reported separately. Agreement against hand-labelled cases, with bootstrap intervals, is on the evidence page; no score here should be read without it.