Just seen what angered the prince. The purpoted jubilee supporters wearing party merchandise turned rowdy and started heckling uhuru with NASA slogans.

ION, most of my friends and family are jubilee damu. Someone has planted in them a crazy idea that bungoma county is a Jubilee stronghold.

Andu makaririra kioro

This guy is nuts. He needs maize in that head!

@admin, I think we are crossing the line here. We know what "maize" means in this context.

Lakini hio uwongo ya babu mzee hivyo ni kali, he even purports to have spoken to the wife....Like Seriously

Pole kwake....

Its ok let them talk kuongea ni bure....

A bigger share of undecideds will likely break for Odinga: The above trends confirm my previous observation that undecideds in Coast, Eastern, and Western regions are likely to be reluctant Odinga supporters. Odinga has seen his poll numbers go up in Coast and Eastern as the number of undecideds has shrunk in both regions. At 14% in the latest poll, the number of undecideds remain virtually the same from the May figure (16% of respondents). Both Kenyatta and Odinga saw declines in their support in Western region between May and July.

The race has tightened over the last two months: It is also clear that the race has tightened over the last two months as more voters have internalized the fact that this is a two-horse race between Kenyatta and Odinga. In particular, much of the tightening appears to have come from shifts in Western and lower Eastern, the two regions comprising the “Big Five” voting blocs where a clear majority of elites are behind the Odinga ticket.

In a model that gives less weight to registration rates (as proxies for voter enthusiasm and likely turnout), the estimated vote share is Kenyatta 52.8% vs Odinga 47.2%.

A more involved model that tries to estimate differential voter enthusiasm yields an even bigger advantage for Kenyatta (54% vs 46%).

In short, going by historical turnout rates, Kenyatta is still a strong favorite to win reelection next Tuesday.

If Odinga were to average a turnout rate of 85 in Nairobi, Coast, and Western regions, my model estimates a vote distribution of 50.9% vs 49.1% in favor of Odinga. If Western and Coast regions alone got to 87% turnout, Odinga’s lead would increase to 51.1% vs Kenyatta’s 48.9%. Structurally, Kenyatta pretty much maxed out on turnout in 2013, while Odinga has a lot of head room.

Lakini hio uwongo ya babu mzee hivyo ni kali, he even purports to have spoken to the wife....Like Seriously