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Republican · South Dakota Senate, district 35

Serving since Jan 14, 2025SD 2025–26 session

Portrait of Greg Blanc, rendered as a two-tone print
Official portrait
99%
of State Senate Republicans score to the right of Blanc on the CSIP scale

CSIP score −0.26 (approximate range −0.29 to −0.22, which understates the uncertainty); negative is left of the scale’s centre, positive right. From 37 donors and 300 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 Blanc sits among State Senate Republicans, not how far from the centre.

At a glance

6 measures against State Senate Republicans. 88% of the 34 bills Blanc sponsored got out of committee, in the top quarter of the South Dakota Senate. Blanc reported $14.9K in the 2024 cycle, in the bottom half of State Senate Republicans (median $28.3K).

The measures on which Blanc sits furthest from the middle of State Senate Republicans, each against the same group, with the CSIP score when there is one. Every number is explained in its own section below.

CSIP ideology

−0.26

More liberal than 99% of State Senate Republicans · ± 0.04

Party unity

94.4%

South Dakota Senate average 76% · ranks 5th of 35 · 105 votes against the majority of South Dakota Senate Republicans

Out of committee

88%

South Dakota Senate average 78% · ranks 7th of 34

Attendance

99.8%

South Dakota Senate average 96.6% · ranks 12th of 35 · 567 roll calls

Itemized, 2024

$14.9K

State Senate Republicans’ median $28.3K · ranks 78th of 112

From South Dakota, 2024

91%

Of itemized individual dollars · ranks 61st of 109 State Senate Republicans

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

Back to topNext: What politicians say

What Blanc says

Blanc criticizes policies less than 93% of State Senate Republicans. Policy criticism in 0% of 15 statements, against 9.5% for the average State Senate Republican; 331st of 354.

An AI model reads each of Blanc’s 15 statements in the SD 2025–26 session (15 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 Republicans and ranked among them.

Kinds of statement

Share of statements carrying each label, the SD 2025–26 session

0%80%
Blanc
Peers
Rank
Policy discussion7 statements
47%
37%
112th of 354
Credit claiming6 statements
40%
15%
16th of 354
Bipartisanship1 statements
7%
2%
26th of 354
Personal attacks0 statements
0%
2%
272nd of 354
Policy criticism0 statements
0%
9%
331st of 354
Show the data
Blanc's share of statements in each category against the State Senate Republicans average.
RowBlancPeers
Policy discussion47%37%
Credit claiming40%15%
Bipartisanship7%2%
Personal attacks0%2%
Policy criticism0%9%
15

statements classified

15 posts on X.

posts on X: 15 (100.0%)posts on X 15
Show the data
Blanc's statements by source
PartValue
posts on X15
How to read the bars

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

Extreme labels

Blanc used no extreme labels in 15 statements. The peer average is 1.3%.

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 SD 2025–26 session

Statements2025-01: 02025-02: 02025-03: 132025-04: 02025-05: 02025-06: 02025-07: 02025-08: 02025-09: 02025-10: 02025-11: 02025-12: 02026-01: 02026-02: 02026-03: 02026-04: 12026-05: 02026-06: 12026-07: 02026-08: 02026-09: 02026-10: 0peak 13 · Mar ’25Personal attackspeak 0.0% · Mar ’25 · latest 0.0%Personal attacks, 2025-01: not plotted (fewer than 10 statements)Personal attacks, 2025-02: not plotted (fewer than 10 statements)Personal attacks, 2025-03: 0.0% of 13Personal attacks, 2025-04: not plotted (fewer than 10 statements)Personal attacks, 2025-05: not plotted (fewer than 10 statements)Personal 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: not plotted (fewer than 10 statements)Personal 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 0.0% · Mar ’25 · latest 0.0%Policy criticism, 2025-01: not plotted (fewer than 10 statements)Policy criticism, 2025-02: not plotted (fewer than 10 statements)Policy criticism, 2025-03: 0.0% of 13Policy criticism, 2025-04: not plotted (fewer than 10 statements)Policy criticism, 2025-05: not plotted (fewer than 10 statements)Policy 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: not plotted (fewer than 10 statements)Policy 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 38.5% · Mar ’25 · latest 38.5%Policy discussion, 2025-01: not plotted (fewer than 10 statements)Policy discussion, 2025-02: not plotted (fewer than 10 statements)Policy discussion, 2025-03: 38.5% of 13Policy discussion, 2025-04: not plotted (fewer than 10 statements)Policy discussion, 2025-05: not plotted (fewer than 10 statements)Policy 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: not plotted (fewer than 10 statements)Policy 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 7.7% · Mar ’25 · latest 7.7%Bipartisanship, 2025-01: not plotted (fewer than 10 statements)Bipartisanship, 2025-02: not plotted (fewer than 10 statements)Bipartisanship, 2025-03: 7.7% of 13Bipartisanship, 2025-04: not plotted (fewer than 10 statements)Bipartisanship, 2025-05: not plotted (fewer than 10 statements)Bipartisanship, 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: not plotted (fewer than 10 statements)Bipartisanship, 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 46.2% · Mar ’25 · latest 46.2%Credit claiming, 2025-01: not plotted (fewer than 10 statements)Credit claiming, 2025-02: not plotted (fewer than 10 statements)Credit claiming, 2025-03: 46.2% of 13Credit claiming, 2025-04: not plotted (fewer than 10 statements)Credit claiming, 2025-05: not plotted (fewer than 10 statements)Credit 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: not plotted (fewer than 10 statements)Credit 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 0.0% · Mar ’25 · latest 0.0%Extreme labels, 2025-01: not plotted (fewer than 10 statements)Extreme labels, 2025-02: not plotted (fewer than 10 statements)Extreme labels, 2025-03: 0.0% of 13Extreme labels, 2025-04: not plotted (fewer than 10 statements)Extreme labels, 2025-05: not plotted (fewer than 10 statements)Extreme 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: not plotted (fewer than 10 statements)Extreme 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 Blanc, 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 ’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)
Feb ’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)
Mar ’25130.0%0.0%38.5%7.7%46.2%0.0%
Apr ’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)
May ’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)
Jun ’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)
Jul ’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)
Aug ’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)
Sep ’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)
Oct ’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)
Nov ’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)
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 ’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)
Feb ’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)
Mar ’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)
Apr ’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)
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 ’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)
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 ’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)
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 SD 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%. 21 months are hatched here; 19 of them have no statements.

In Blanc’s words

Real statements from the classifier’s example set, with the labels it assigned

Policy discussion

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

Jun 15, 2026 · Posts on X (state legislators) · policy discussion; Armed Forces and National Security · Source

Credit claiming

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

Mar 18, 2025 · Posts on X (state legislators) · credit claiming · Source

Bipartisanship

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

Mar 18, 2025 · Posts on X (state legislators) · bipartisanship · 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.

No statements in this category in this window.

All 15 statements

Newest first, the SD 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: 15 posts on X.

Back to topNext: Policy

Policy

Armed Forces and National Security is what Blanc talks about most: 43% of policy statements, 6.6 times the peer share. Peers give it 6.5%. Agreement with legislation needs at least 20 policy statements and 5 bills.

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 Blanc talks about. The bills Blanc sponsors and cosponsors carry the same areas, so the two can be compared.

What Blanc talks about

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

0%47%
Blanc
Peers
Armed Forces and National Security3 statements
43%
6%
Education2 statements
29%
14%
Energy1 statements
14%
6%
Government Operations and Politics1 statements
14%
17%
Public Lands and Natural Resources1 statements
14%
2%
Show the data
Policy areas Blanc talks about, as a share of policy statements, against the State Senate Republicans average.
RowBlancPeers
Armed Forces and National Security43%6%
Education29%14%
Energy14%6%
Government Operations and Politics14%17%
Public Lands and Natural Resources14%2%
How to read the bars

The thick bar is the share of Blanc’s policy statements in an area; the thin grey bar is the average share for State Senate Republicans. 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 47%. Grey ticks are the State Senate Republicans averages.

Talks aboutLegislates onArmed Forces and NationalSecurityArmed Forces and National Security, talks about: 43% (State Senate Republicans 6%)43%Armed Forces and National Security, legislates on: 3% (State Senate Republicans 2%)3%EducationEducation, talks about: 29% (State Senate Republicans 14%)29%Education, legislates on: 13% (State Senate Republicans 10%)13%EnergyEnergy, talks about: 14% (State Senate Republicans 6%)14%Energy, legislates on: 0% (State Senate Republicans 3%)0%Government Operations andPoliticsGovernment Operations and Politics, talks about: 14% (State Senate Republicans 17%)14%Government Operations and Politics, legislates on: 23% (State Senate Republicans 12%)23%Public Lands and NaturalResourcesPublic Lands and Natural Resources, talks about: 14% (State Senate Republicans 2%)14%Public Lands and Natural Resources, legislates on: 0% (State Senate Republicans 3%)0%
Show the data
Blanc's share of statements against share of bills in each policy area.
AreaTalks aboutState Senate Republicans, talks aboutLegislates onState Senate Republicans, legislates on
Armed Forces and National Security43%6%3%2%
Education29%14%13%10%
Energy14%6%0%3%
Government Operations and Politics14%17%23%12%
Public Lands and Natural Resources14%2%0%3%

No agreement score.Needs at least 20 policy statements and 5 bills in the window.

What agreement means, and what it doesn’t

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

Back to topNext: Ideology

Ideology

Blanc sits at −0.26 on the CSIP scale, left of 0, more liberal than 99% of State Senate Republicans. Approximate range −0.29 to −0.22, which understates the uncertainty; from 37 donors and 300 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”.

−0.26

CSIP ideal point

Approximate range −0.29 to −0.22. From 37 donors and 300 roll calls. Run 2026-10-25T215945. Blue is left of 0, red right of 0.

← More liberalMore conservative →0Blanc −0.3State Senate Republicans +0.4South Dakota Senate +0.1All State Senate +0.1

The outlined dot is Blanc, 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 Blanc’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 Blanc sits

Every official in each group, on the CSIP scale

−2.0−1.00.0+1.0+2.0← More liberalMore conservative →State Senate Republicansmedian +0.4Blanc −0.3South Dakota Senatemedian +0.1All State Senatemedian +0.1
Show the data
Blanc's CSIP score of −0.26 placed against State Senate Republicans, South Dakota Senate, All State Senate.
GroupOfficialsMedianShare left of Blanc
State Senate Republicans1083+0.41%
South Dakota Senate35+0.19%
All State Senate1909+0.141%
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 Blanc 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 Blanc.

Back to topNext: Money

Money

Blanc reported $14.9K in the 2024 cycle, below the State Senate Republicans’ median of $28.3K. State filings report no small-donation total. 91% of itemized individual money came from South Dakota.

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.

$14.9K

itemized in the 2024 cycle

From 37 itemized donors. State Senate Republicans’ median $28.3K.

Where the money came from

Each square is one percent of itemized contributions in the 2024 cycle.

Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)Individuals (itemized): $11.5K (77.2%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)PACs and other committees: $3,400 (22.8%)
  • Individuals (itemized)77 squares$11.5K
  • PACs and other committees23 squares$3,400
Show the data
Sources of Blanc's money, 2024 cycle, one square per percent
SourceAmountShare
Individuals (itemized)$11.5K77.2%
PACs and other committees$3,40022.8%
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 2024. The grey line is the State Senate Republicans’ median for 2024.

2024 cycle: $14.9K$14.9K2024State Senate Republicans median $28.3K
Show the data
Blanc's receipts by cycle against the 2024 State Senate Republicans median.
ItemValue
2024 cycle$14.9K

Top donor states, 2024

Itemized contributions by donor state. 91% came from South Dakota.

  1. South Dakota$10.5K
  2. California$1,000

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: no dataIDMontana: no dataMTNorth Dakota: no dataNDMinnesota: no dataMNIllinois: no dataILWisconsin: no dataWIMichigan: no dataMINew York: no dataNYRhode Island: no dataRIMassachusetts: no dataMAOregon: no dataORNevada: no dataNVWyoming: no dataWYSouth Dakota: $10.5KSDIowa: no dataIAIndiana: no dataINOhio: no dataOHPennsylvania: no dataPANew Jersey: no dataNJConnecticut: no dataCTCalifornia: $1,000CAUtah: no dataUTColorado: no dataCONebraska: no dataNEMissouri: no dataMOKentucky: no dataKYWest Virginia: no dataWVVirginia: no dataVAMaryland: no dataMDDelaware: no dataDEArizona: no dataAZNew Mexico: no dataNMKansas: no dataKSArkansas: no dataARTennessee: no dataTNNorth Carolina: no dataNCSouth Carolina: no dataSCDistrict of Columbia: no dataDCOklahoma: no dataOKLouisiana: no dataLAMississippi: no dataMSAlabama: no dataALGeorgia: no dataGAHawaii: no dataHITexas: no dataTXFlorida: no dataFL
Show the data
Blanc's itemized individual contributions by donor state, 2024 cycle
StateValue
South Dakota$10.5K
California$1,000
AlaskaNo data
MaineNo data
VermontNo data
New HampshireNo data
WashingtonNo data
IdahoNo data
MontanaNo data
North DakotaNo data
MinnesotaNo data
IllinoisNo data
WisconsinNo data
MichiganNo data
New YorkNo data
Rhode IslandNo data
MassachusettsNo data
OregonNo data
NevadaNo data
WyomingNo data
IowaNo data
IndianaNo data
OhioNo data
PennsylvaniaNo data
New JerseyNo data
ConnecticutNo data
UtahNo data
ColoradoNo data
NebraskaNo data
MissouriNo data
KentuckyNo data
West VirginiaNo data
VirginiaNo data
MarylandNo data
DelawareNo data
ArizonaNo data
New MexicoNo data
KansasNo data
ArkansasNo data
TennesseeNo data
North CarolinaNo data
South CarolinaNo data
District of ColumbiaNo data
OklahomaNo data
LouisianaNo data
MississippiNo data
AlabamaNo data
GeorgiaNo data
HawaiiNo data
TexasNo data
FloridaNo data
37

itemized donors

People who gave more than $200

91%

from South Dakota

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

Top donor occupations

Itemized, 2024 cycle.

No occupations reported.

Top committees

PAC and committee contributions, 2024 cycle.

  1. LIBERTY TREE PAC$1,000
  2. SOUTH DAKOTA RIGHT TO LIFE POLITICAL ACTION COMMITTEE$1,000
  3. BLACK HILLS CORPORATION$500
  4. STAND FOR THE FAMILY SOUTH DAKOTA$500
  5. FRIENDS OF TINA MULALLY$200

Top employers

Itemized, 2024 cycle.

No employers reported.

Aggregates only. Individual donors are never named.

Back to topNext: Votes

Votes

Blanc voted with the majority of South Dakota Senate Republicans on 94.4% of party-line votes and missed 0.2% of 567 roll calls. South Dakota Senate on average: 76% party unity, 96.6% attendance. Across all roll calls, Blanc voted against the majority of South Dakota Senate Republicans 105 times.

567 roll calls Blanc could vote on in the SD 2025–26 session, compared with South Dakota 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 Blanc voted with the majority of South Dakota Senate Republicans. The count of votes against that majority covers every roll call where the majority took a side.

105

votes against the majority of South Dakota Senate Republicans

Party unity 94.4%, South Dakota Senate average 76%, ranks 5th of 35. 567 roll calls in the SD 2025–26 session.

Attendance and party unity

The thick bar is Blanc, the thin grey bar the South Dakota Senate average. The scale runs from 70% to 100% to show the gap.

70%100%
Blanc
Peers
Rank
Attendance
99.8%
96.6%
12th of 35
Party unity
94.4%
76%
5th of 35
Show the data
Blanc's attendance and party unity against South Dakota Senate.
RowBlancPeers
Attendance99.8%96.6%
Party unity94.4%76%
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 SD 2025–26 session

Key votes
Party split (yea–nay)Why it’s key
Mar 12, 2026
HB 1326
appropriate money for the ordinary expenses of the legislative, judicial, and executive departments of the state, the current expenses of state institutions, interest on the public debt, and common schools.
Do Pass
NayAgainst majoritypassD 3–0 · R 22–9Democrats 3 yea, 0 nay; Republicans 22 yea, 9 naybecame law · party crossover
Mar 12, 2026
HB 1051
revise property tax levies for school districts and to revise the state aid to general and special education formulas.
Do Pass Amended
YeaWith majoritypassD 3–0 · R 31–0Democrats 3 yea, 0 nay; Republicans 31 yea, 0 naybecame law
Mar 12, 2026
SB 78
revise the General Appropriations Act for fiscal year 2026.
Do Pass Amended
NayAgainst majoritypassD 3–0 · R 23–8Democrats 3 yea, 0 nay; Republicans 23 yea, 8 naybecame law · party crossover
Mar 9, 2026
HB 1006
create a taskforce to study the creation of Indian medicaid managed care entities in the state.
Do Pass Amended
NayAgainst majoritypassD 3–0 · R 29–2Democrats 3 yea, 0 nay; Republicans 29 yea, 2 naybecame law
Mar 9, 2026
HB 1241
modify the requirements for public notice of a hearing prior to a vote to impose an excess tax levy, and to modify requirements to refer an excess tax levy of a school district to a vote.
Do Pass Amended
YeaWith majorityfailD 1–2 · R 16–15Democrats 1 yea, 2 nay; Republicans 16 yea, 15 nayclose vote · party 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 Blanc most often

  1. Sam MartyR565 shared votes92%
  2. Lauren NelsonR566 shared votes89%
  3. Joy HohnR556 shared votes88%
  4. Mark LapkaR542 shared votes88%
  5. Curt VoightR559 shared votes87%

Votes least often with

The colleagues who voted the same way as Blanc least often

  1. Liz LarsonD566 shared votes60%
  2. Jamie SmithD562 shared votes60%
  3. Brandon WipfR299 shared votes63%
  4. Randy DeibertR566 shared votes65%
  5. Stephanie SauderR566 shared votes65%
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

SD 2025–26 session, loads in batches

Back to topNext: Legislation

Legislation

Blanc sponsored 34 bills in the SD 2025–26 session; 8 became law. Cosponsored 0 others. 88% of sponsored bills got out of committee (South Dakota Senate average 78%; 7th of 34).

The bills Blanc sponsored and cosponsored in the SD 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 SD 2025–26 session

Sponsored34 billsSponsored, Introduced: 3434Sponsored, In committee: 3333Sponsored, Passed one chamber: 1010Sponsored, Passed both chambers: 88Sponsored, Became law: 88Cosponsored0 billsCosponsored, Introduced: 00Cosponsored, In committee: 00Cosponsored, Passed one chamber: 00Cosponsored, Passed both chambers: 00Cosponsored, Became law: 00IntroducedIncommitteePassed onechamberPassed bothchambersBecamelaw
Show the data
Bills Blanc sponsored and cosponsored, by furthest stage reached
RoleIntroducedIn committeePassed one chamberPassed both chambersBecame law
Sponsored34331088
Cosponsored00000
How to read the blocks

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

88%

of sponsored bills got out of committee

South Dakota Senate average 78%. Ranks 7th of 34.

Cosponsorship partners

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

  1. Heather Baxter23
  2. Phil Jensen21
  3. Aaron Aylward17
  4. John Carley16
  5. Dylan Jordan15
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 Blanc’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 1274prohibit the dispensing, distribution, sale, or advertisement of certain articles or things for purposes of an unlawful abortion and provide a criminal and civil penalty therefor.SponsorFeb 25, 2026Became lawCivil Rights and Liberties, Minority Issues(model)Signed by the Governor on 2026-03-30 H.J. 579 Mar 30, 2026
HB 1313require education in prenatal human growth and development.SponsorFeb 17, 2026Became lawEducation(model)Signed by the Governor on 2026-03-30 H.J. 579 Mar 30, 2026
SB 218provide for the establishment of charter schools.SponsorFeb 4, 2026In committeeEducation(model)Senate Reconsidered , Passed, YEAS 17, NAYS 16 S.J. 339 Feb 20, 2026
SB 177clarify the requirements for marking an optical scan ballot.SponsorJan 29, 2026Became lawGovernment Operations and Politics(model)Signed by the Governor on 2026-03-12 S.J. 529 Mar 12, 2026
HCR 6009urging Congress to repeal the estate tax.SponsorJan 29, 2026In committeeTaxation(model)Taxation Tabled , Passed, YEAS 13, NAYS 0 H.J. 7 Feb 10, 2026

Back to topNext: Online

Online

A site that has not changed in 90 days. Blanc’s official site had 1 page when last crawled on Oct 1, 2026.

The lab crawls Blanc’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 Blanc 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 Blanc posted

No images from Blanc’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 Blanc is most unusual among State Senate Republicans, 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
4a052dc7-31aa-4a24-b72d-7e922ce7bf8b
Open States
ocd-person/4a052dc7-31aa-4a24-b72d-7e922ce7bf8b

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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