Brad Mr. Lander 2026: Competitive Research Context and Source-Backed Profile

Brad Mr. Lander's public-record profile rests on 31 source-backed claims, placing him in OppIntell's comprehensive research tier.

OppIntell's automated candidate-intelligence platform has identified 31 source-backed claims for Brad Mr. Lander, all of which are valid citations; 29 of these claims are auto-publishable. This places Lander in the comprehensive research depth tier, meaning public records exist across multiple categories but some gaps remain. Within New York's 315 tracked candidates, Lander ranks 72nd in research depth among all candidates and 72nd within his own race. These ranks indicate a solid but not top-tier public-record footprint relative to peers. Cross-platform verification includes FEC registration, FEC committee data, and other identifiers, but notably lacks Wikidata and Ballotpedia entries — gaps OppIntell honestly acknowledges as research limitations. For campaigns and journalists, this means Lander's public profile is well-sourced enough for basic competitive analysis but would benefit from additional documentation in those missing platforms.

Lander's bio signals a progressive urban Democrat with municipal government experience, though key details remain unverified by public records.

Brad Mr. Lander is a Democrat running for U.S. House in New York's 10th Congressional District, a seat currently held by Democrat Dan Goldman. Lander's public-record profile suggests a background in municipal governance and progressive advocacy, though OppIntell's 31 source-backed claims do not yet include a comprehensive biography. The absence of a Ballotpedia page and Wikidata entry means standard biographical details — education, prior offices, policy positions — are not systematically aggregated. Researchers would need to cross-reference FEC filings, campaign finance reports, and local news archives to fill these gaps. Lander's campaign is likely to emphasize local government experience and progressive credentials, but opponents could question the depth of his legislative record. For competitive research, the missing platforms represent both a vulnerability (less vetting) and an opportunity (less public scrutiny).

New York's 10th District race is a crowded Democratic primary field, with 199 candidates tracked by OppIntell.

OppIntell tracks 199 candidates in the New York 10th Congressional District race, making it one of the most crowded fields in the state. Lander's within-race research-depth rank of 72 of 199 indicates he is in the upper third of candidates by source-backed claims, but far from the most researched. The district, covering parts of Manhattan and Brooklyn, is safely Democratic, so the primary is the key contest. OppIntell's state aggregate data shows 159 Democratic candidates across all New York races, with 264 of 315 total candidates having source-backed claims. The average source claims per candidate in New York is 243.03 — far higher than Lander's 31, suggesting many candidates have more extensive public records. This disparity could mean Lander is either a newer entrant or has a less documented career. For opponents, this gap is a research opportunity: they could uncover records Lander has not yet surfaced.

Party comparison reveals Lander's profile is typical of a well-sourced Democrat in a crowded field, but below state averages.

Among New York's 159 Democratic candidates, Lander's 31 source-backed claims place him below the state average of 243.03 claims per candidate. However, the average is inflated by top-tier candidates like Hakeem Jeffries, Thomas Suozzi, and Claudia Tenney, who have extensive records. Lander's comprehensive research tier indicates he has enough claims for meaningful analysis, but not the depth of a long-serving incumbent. By contrast, the 53 Republican candidates in New York average fewer claims overall, reflecting the state's Democratic lean. Lander's cross-platform verification (FEC, FEC committee, other) is typical for Democrats in competitive primaries, but the missing Wikidata and Ballotpedia entries are less common among well-sourced candidates. OppIntell's cycle-level data shows 1,648 cross-platform-verified candidates nationally; Lander is not among them, which may affect his visibility in automated research tools.

Competitive research methodology: what opponents and outside groups would examine in Lander's public records.

OppIntell's platform identifies 31 source-backed claims for Lander, but researchers would go deeper. They would examine FEC filings for donor patterns, committee assignments, and expenditure details. They would search local news for policy positions, public statements, and any controversies. They would check municipal records if Lander held city office, and cross-reference with state ethics filings. The absence of a Ballotpedia page means no curated summary of votes or endorsements; researchers would need to build that from scratch. OppIntell's honest acknowledgment of research gaps — no Wikidata, no Ballotpedia — signals that Lander's public profile is not yet fully digitized. This could be a strategic advantage if his record is clean, or a risk if damaging information exists in less accessible formats. Campaigns facing Lander would prioritize filling these gaps before the primary.

Source-readiness gap analysis: Lander's profile is comprehensive but not exhaustive, with specific missing platforms.

OppIntell classifies Lander's research depth as comprehensive, meaning he has enough source-backed claims for a thorough competitive analysis. However, the missing Wikidata and Ballotpedia entries are significant gaps. Wikidata provides structured data that feeds many political research tools; Ballotpedia offers curated biographies and voting records. Without these, Lander's profile is less discoverable and less authoritative in automated research contexts. The 29 auto-publishable claims are sufficient for OppIntell's public-facing profile, but researchers seeking a complete picture would need to consult additional sources. For campaigns, this gap means Lander's opponents may have an easier time finding negative information if it exists, simply because they will search broadly. Conversely, Lander's team could proactively fill these gaps to control the narrative.

District and state context: New York's 10th District is a Democratic stronghold with a history of competitive primaries.

New York's 10th Congressional District covers Lower Manhattan, parts of Brooklyn, and includes neighborhoods like Park Slope, Cobble Hill, and the Financial District. It is one of the most Democratic districts in the country, with a Cook PVI of D+30 or higher. The incumbent, Dan Goldman, is a first-term Democrat who won a crowded 2022 primary. The 2026 primary is likely to attract multiple challengers, including Lander. OppIntell tracks 199 candidates in this race, reflecting the district's high political engagement. For Lander, the path to victory runs through the primary, where name recognition, fundraising, and endorsements matter most. His 31 source-backed claims provide a baseline, but he would need to significantly expand his public record to compete with better-known candidates. OppIntell's state data shows 72 cross-platform-verified candidates in New York; Lander is not among them, which could be a disadvantage in a race where credibility is key.

Comparative research methodology: how OppIntell's platform enables all-party field analysis for campaigns and journalists.

OppIntell tracks 25,660 candidates across 54 states for the 2026 cycle, with 5,828 FEC-registered and 19,832 state-SoS-only. The platform's source-backed claim counts allow campaigns to benchmark opponents' public-record depth. For Lander, his 31 claims place him in the 4,086 well-sourced candidates nationally (those with 5+ claims), but far from the 1,648 cross-platform-verified candidates. This comparison helps campaigns assess how much vetting an opponent has undergone. Journalists can use OppIntell's data to identify under-researched candidates who may have hidden vulnerabilities. The platform's honest gap reporting — such as Lander's missing Wikidata and Ballotpedia — ensures users understand the limits of the available data. For a crowded primary like NY-10, this comparative methodology is essential for prioritizing research resources.