MP Stephen Mule: Kaluma’s remarks were a recipe for violence
Matungulu Member of Parliament Stephen Mule has called for the arrest of Homa Bay Town MP Peter Kaluma over remarks he said could have contributed to violence during the Linda Mwananchi rally in Homa Bay. Mule, during an interview on Monday, August 17, 2026, said political leaders must be held accountable for statements made during […]
Matungulu Member of Parliament Stephen Mule has demanded the arrest of Homa Bay Town MP Peter Kaluma following a speech he delivered at a rally, which Mule believes could spark violence. Speaking to reporters on Monday, August 17, 2026, Mule said political leaders must face consequences for their words, especially as election season approaches.
"The remarks made by my colleague, Homa Bay Town MP Peter Kaluma, warranted his arrest," Mule declared, labeling them as "a recipe for violence." With political rallies becoming more common ahead of the 2027 General Election, Mule anticipated increased pressure on law enforcement. He questioned the readiness of security agencies to handle the situation, suggesting they should have strengthened security measures ahead of time.
Mule also linked Kaluma's statements to previous warnings made by another legislator, emphasizing that this rhetoric is a recurring issue. Kaluma’s remarks follow a similar pattern, according to Mule, who believes the government should have recognized the potential for unrest. The National Cohesion and Integration Commission (NCIC) has summoned Kaluma for questioning regarding his comments made during a political engagement in Homa Bay, with the hearing scheduled for August 19, 2026.
The NCIC issued the summons under specific sections of the National Cohesion and Integration Act, targeting hate speech and conduct that could harm national unity. Kaluma is expected to appear before the commission as political campaigning intensifies throughout the country in the lead-up to the 2027 General Election.
Written by urgent.news from People Daily Kenya's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.