Greatidude Civic intelligence Direct answer Medium confidence
If a claim is trending, convert it into a measurable audit: isolate the exact claim, test only what data can support today, label missing fields openly, and link users to source records before any conclusion.
This page only evaluates measurable election indicators and explicitly marks unsupported segments as data gaps.
Protocol version: claim-check-v1
Each bar shows evidence completeness from current API and ECI data. Dark amber = data gap waiting on structured field normalization.
Claim: "Did TVK make auto drivers into MLAs?"
Data we can use now
Current data gap: Occupation labels are not consistently normalized as a first-class field in current payloads.
Open auto-driver claim check →Claim: "How many Dalit MLAs / Muslim MLAs did each party produce?"
Data we can use now
Current data gap: Religion/community are not consistently exposed as structured fields in current API payloads.
Open representation data check →Claim: "Is TVK an RSS proxy or BJP B-team?"
Data we can use now
Current data gap: Ideological alignment is not a direct API field; it needs explicit, cited evidence outside numeric aggregates.
Open RSS/B-team narrative check →Start from all candidates, then open one profile to verify affidavit, vote share, and track record.
Open candidates → Read focused answerFind your constituency first, then move to winner and challenger profiles in one click.
Open constituencies → Read focused answerCompare party-level fielding and quality metrics, then drill into candidate-level evidence.
Compare parties → Read focused answerGo from politician profile to promise tracker and validate supporting evidence links.
Verify promises → Read focused answer