United States v. Chevez-Solano
United States v. Chevez-Solano
Opinion
Case: 24-50574 Document: 43-1 Page: 1 Date Filed: 02/17/2025
United States Court of Appeals for the Fifth Circuit ____________ United States Court of Appeals Fifth Circuit No. 24-50574 FILED Summary Calendar February 17, 2025 ____________ Lyle W. Cayce Clerk United States of America, Plaintiff—Appellee, versus Cristian Javier Chevez-Solano, Defendant—Appellant. ______________________________ Appeal from the United States District Court for the Western District of Texas USDC No. 2:23-CR-1033-1 ______________________________ Before Graves, Willett, and Wilson, Circuit Judges.
Per Curiam: * Cristian Javier Chevez-Solano appeals his sentence under 8 U.S.C. § 1326(b)(1). He contends that § 1326(b) violates the Constitution by treating a prior conviction that increases the statutory maximum under the statute as a sentencing factor, rather than as an element of the offense. He correctly concedes that his argument is foreclosed by Almendarez-Torres v. _____________________ * This opinion is not designated for publication. See 5th Cir. R. 47.5.
Case: 24-50574 Document: 43-1 Page: 2 Date Filed: 02/17/2025
No. 24-50574
United States, 523 U.S. 224 (1998), but wishes to preserve it for further review. See United States v. Pervis, 937 F.3d 546, 553–54 (5th Cir. 2019); see also Erlinger v. United States, 602 U.S. 821, 838 (2024) (explaining that Almendarez-Torres “persists as a narrow exception permitting judges to find only the fact of a prior conviction” (internal quotation marks and citation omitted)).
Because the only issue before us is foreclosed by precedent and “there can be no substantial question as to the outcome of the case,” Groendyke Transp., Inc. v. Davis, 406 F.2d 1158, 1162 (5th Cir. 1969), we GRANT the Government’s motion for summary affirmance, and we DENY its alternative motion for an extension of time to file an appellate brief. The judgment of the district court is AFFIRMED.
Case-law data current through December 31, 2025. Source: CourtListener bulk data.