Significance
8 measured / 8 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 8 events
Czech voters elected Senate members and local councilors on 10 October, and the Czech Statistical Office published preliminary Senate results that day. Andrej Babiš claimed victory in the municipal elections, while STAN held a post-election press conference and Radim Fiala said the results were no success. On 11 October, the overview, “Czech voters elect one-third of the Senate and choose local councils,” sat alongside reports of sharply different city-level coalition situations. In Plzeň, ANO, Pro Plzeň and STAN agreed a coalition deal; in Brno, parties formed a grand coalition excluding ANO, with Hruška as mayor. In Prague, STAN’s Hlaváček aimed to secure a coalition deal by November, while ANO won the Ostrava election but lost three council seats and the mayor remained undecided. The coded Event “Nedomová rejects cooperation with ANO in Pardubice talks” and the Story “STAN ends coalition talks with ANO and Žijeme Pardubice in Pardubice” also describe friction around coalition formation.
Footnotes[12][13][14][15][17][11][1][2][4][3][7][10]The Events establish voting, the publication of preliminary Senate results and political statements; Babiš’s municipal-election victory was a claim, not an independently established result in these Events. The city reports distinguish election performance from coalition outcomes: ANO joined the agreed Plzeň deal but was excluded from Brno’s grand coalition, and its Ostrava win did not settle the mayoralty. Prague’s November target was Hlaváček’s stated aim, not a completed agreement. Together, the Stories describe varied local bargaining rather than one uniform municipal outcome; they do not establish that election wins alone determined who would govern.
Footnotes[12][13][14][2][4][3][7]Explanation originally captured 2026-10-12 · Evidence through 2026-10-12 UTC · Source edition sed_be6e0d823472a4a1acc14c82101c27e8
A 2-day Situation represented by 8 coded Events carried across 18 member Stories.
The coded activity is led by 01 · Make Public Statement (6) and 08 · Yield (1).
Andrej Babiš is prominent in the retained actor and relationship evidence.
59 canonical Entities are linked to this edition.
Metric coverage. 8 coded Events · 8 CAMEO+ · 0 conflict. The four dimensions describe the CAMEO+ subset; conflict Events do not carry these scores.
Dot = mean · shaded span = observed range · position uses each metric’s defined scale.
How the coder scored the full retained Event set
8 coded events — 8 CAMEO+ (8 political)
Quad class over those 8 events · Verbal Cooperation 6 · Material Cooperation 1 · Verbal Conflict 1. No conflict-family event here, so nothing carries a fatality count — a missing column, not a toll of zero.
8 measured / 8 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 8 events
8 measured / 8 eligible · 0 missing · 0 not applicable
score (0 to 10) · Event-level distribution, not a Situation risk score.
across all 8 events — every one of them CAMEO+
8 measured / 8 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 8 events — every one of them CAMEO+
8 measured / 8 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 8 events — every one of them CAMEO+
8 measured / 8 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 8 events — every one of them CAMEO+
8 measured / 8 eligible · 0 missing · 0 not applicable
score (-10 to 10) · Event-level distribution, not a Situation risk score.
across the 8 of 8 events Goldstein is defined on — CAMEO+ POLITICAL and the conflict family; the other nine CAMEO+ domains have no Goldstein semantics
8 measured / 8 eligible · 0 missing · 0 not applicable
score (0 to 1) · Event-level distribution, not a Situation risk score.
across all 8 events
This retained edition, independent of graph and page limits. Different dimensions, not a blended risk score; reported tolls may overlap.
2026-10-11analystlatest
Coalition reports and further talks
Stories dated 11 October describe an agreed Plzeň coalition, a Brno coalition excluding ANO, Prague coalition plans, and varied outcomes or negotiations in Ostrava, Zlín and České Budějovice. Events on this date include Vereš seeking clarity on ANO talks and Nedomová rejecting cooperation with ANO in Pardubice.
What kind of event · 3 coded types
over 8 coded events on this edition
Countries · where it happened
Countries · who is acting
Selected from the complete retained edition
The election overview and the linked Events establish the vote, preliminary Senate results, Babiš’s victory claim and post-election statements.
These Stories describe agreed coalitions, negotiations, an undecided mayoralty and an end to coalition talks in different cities.
STAN held a post-election press conference in Prague on 10 October.
STAN held a post-election press conference in Prague on 10 October.
Footnotes[15]Radim Fiala said on 10 October that the election results were no success.
Radim Fiala said on 10 October that the election results were no success.
Footnotes[17]Evidenced relationships involving significant participants beyond the central cast.
The Event links the election overview Story.
The Event names Andrej Babiš as source actor, and the Entity identifies him as an actor.
The Plzeň Story is joined to the election overview as an election-related local outcome.
The link associates the two same-day Stories; it does not establish causation.
The link associates the two same-day Stories; it does not establish causation.
This edition freezes the complete served membership and analysis available through its UTC cutoff. Later repairs or identity changes do not rewrite what this edition showed.
Stories are reporting clusters. Events are coded occurrences within that reporting. The cast contains 59 canonical people and organizations linked to the retained evidence.
Story-to-Event edges identify supporting reporting. Entity-to-Event edges identify recorded actor or target participation. Mentions and analytical roles stay visibly distinct from recorded participation.
Core, precursor, and continuation labels organize the reading. They do not by themselves establish causation. Collapsed graph groups and paginated evidence change presentation only; counts use the complete retained edition.