Callais v. Landry (April 2026)
On April 29, 2026, the United States Supreme Court issued its decision in Callais v. Landry. The ruling significantly altered the landscape for redistricting analysis under Section 2 of the Voting Rights Act, and every data analyst working on voting rights must understand what changed and why it matters for how you structure your analysis.
Background
Callais v. Landry arose from a challenge to Louisiana's congressional district map. The case asked the Supreme Court to clarify the standard for when a state may—or must—create majority-minority districts under Section 2 of the VRA. The lower courts had reached conflicting conclusions about whether the effects-based test of Gingles required Louisiana to maintain a second majority-Black congressional district.
What the Court held
The Court, in a majority opinion, held that states cannot justify majority-minority districts solely on the basis of disparate impact—that is, on a showing that a race-neutral map would produce unequal electoral outcomes for a protected racial group. To sustain a race-conscious remedial district under the Equal Protection Clause, states must now point to evidence of intentional discrimination—a deliberate act by state actors to discriminate against voters on the basis of race.
The Court declined to overrule Gingles entirely, but it substantially curtailed the effects-based pathway. The three Gingles factors remain a threshold inquiry, but demonstrating them is no longer sufficient to require a majority-minority remedy. The state must have strong basis in evidence of intentional discrimination before race-conscious district drawing is constitutionally permissible.
What changed for data analysts
Before Callais, the core analytical question was: Did this map produce disparate effects on minority voters? Analysts answered it with RPV analysis, CVAP comparisons, and turnout data.
After Callais, the core analytical question becomes: Was there intentional discrimination? That is a harder evidentiary burden. Disparate effects evidence—the entire toolkit of traditional redistricting data analysis—is now relevant primarily as circumstantial evidence of intent, not as a standalone basis for a Section 2 remedy.
Practical implication for your Policy Data Brief
If your brief addresses redistricting, you must now frame your finding in terms of whether the evidence points to intentional discrimination, not just disparate effects. Showing that a map has unequal effects on Black voters is necessary but no longer sufficient. Your recommendation section must account for this shift.
Ongoing uncertainty
As of June 2026, the full implications of Callais are still being litigated in lower courts. Several pending redistricting cases in Georgia and other states are being remanded for reconsideration under the new standard. The legal landscape is in flux—analysts should follow SCOTUSblog and the Brennan Center for ongoing developments.