Electoral credibility in Nigeria is frequently undermined not by data theft, but by unverifiable event sequences—results declared before polls close, delayed uploads, and inconsistent collation timelines. This paper proposes temporal data sequencing using blockchain as a mechanism to enforce chronological integrity in the electoral process. Unlike traditional blockchain applications focused on cryptographic security, this study emphasizes logical time ordering, hash-chaining, and real-time anomaly detection. A formal model is developed based on Lamport’s logical clocks and applied to Nigeria’s 2023 general elections using observational data from INEC’s Results Viewing (IReV) Portal and observer reports. The methodology includes data extraction, temporal modeling, simulation, and comparative analysis. Results show that 17% of results were uploaded prematurely, 23% lacked timestamps, and average upload delay was 8.2 hours. When simulated under the proposed blockchainbased temporal model, these anomalies dropped by 96%, with full timestamp coverage and automated flagging of procedural violations. Findings indicate that institutional trust is enhanced not through authority, but through observable process consistency. This work contributes to digital governance by repositioning blockchain as a temporal verification engine for democratic processes in developing democracies.