Their creativity is so amazing and they won't stop. After the BUDGET typo now comes CMC's 2003 loan being paid in style via Volkswagen Passat cars.


| POINTS TABLE - LEAGUE 2009 - 50 OVERS. FINAL - STANDINGS |
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| TEAM | PLAYED | WIN(WON) | DRAW | BAT | BOWL | BONUS | PENALTY | TOTAL |
| Swamibapa 'A' | 14 | 144(12) | 6 | 22 | 49 | 8 | -1 | 228 |
| Kanbis 'A' | 14 | 132(11) | 0 | 30 | 52 | 2 | 0 | 216 |
| Telca | 14 | 120(10) | 0 | 15 | 42 | 18 | 0 | 205 |
| Stray Lions 'A' | 14 | 96(8) | 12 | 17 | 43 | 8 | -2 | 174 |
| Kanbis 'B' | 14 | 72(6) | 6 | 12 | 40 | 16 | 0 | 146 |
| SCLYL 'A' | 14 | 36(3) | 0 | 14 | 40 | 2 | 0 | 92 |
| Sir Ali 'A' | 14 | 24(2) | 12 | 15 | 19 | 0 | -8 | 62 |
| Simba Union A | 14 | 12(1) | 0 | 8 | 31 | 2 | 0 | 53 |
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| DIV I | PLAYED | WIN(WON) | DRAW | BAT | BOWL | BONUS | PENALTY | TOTAL |
| Nbi,Nookers 'A' | 14 | 156(13) | 0 | 21 | 43 | 18 | -1 | 237 |
| Swamibapa 'B' | 14 | 144(12) | 0 | 23 | 53 | 10 | -1 | 229 |
| Premier | 14 | 84(7) | 6 | 19 | 43 | 6 | -1 | 157 |
| Kongonis Dev | 14 | 84(7) | 6 | 27 | 42 | 0 | -3 | 156 |
| Ruaraka 'A' | 14 | 60(5) | 0 | 18 | 34 | 10 | -1 | 121 |
| Ngara | 14 | 60(5) | 0 | 3 | 38 | 16 | -5 | 112 |
| Nbi.Jafferys | 14 | 48(4) | 12 | 8 | 30 | 4 | -3 | 99 |
| Nbi.Gymkhana | 14 | 12(1) | 0 | 10 | 35 | 0 | 0 | 57 |
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| DIV II | PLAYED | WIN(WON) | DRAW | BAT | BOWL | BONUS | PENALTY | TOTAL |
| Stray Lions 'B' | 14 | 144(12) | 6 | 11 | 51 | 16 | 0 | 228 |
| Goan Inst A | 14 | 108(9) | 6 | 23 | 43 | 8 | 0 | 188 |
| Golden XI | 14 | 108(9) | 0 | 14 | 41 | 18 | 0 | 181 |
| Aga Khan | 14 | 96(8) | 12 | 17 | 37 | 6 | 0 | 164 |
| Sir Ali 'B' | 14 | 72(6) | 0 | 11 | 39 | 12 | -8 | 125 |
| SCLYL 'B' | 14 | 60(5) | 0 | 14 | 36 | 8 | 0 | 118 |
| Simba Union B | 14 | 36(3) | 0 | 13 | 33 | 8 | -7 | 83 |
| Qutbis | 14 | 24(2) | 0 | 18 | 23 | 0 | -2 | 63 |
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| DIV III | PLAYED | WIN(WON) | DRAW | BAT | BOWL | BONUS | PENALTY | TOTAL |
| Parklands | 12 | 120(10) | 6 | 14 | 44 | 8 | -4 | 188 |
| Aaryans | 12 | 96(8) | 6 | 20 | 34 | 12 | -1 | 167 |
| Oshwal XI | 12 | 72(6) | 0 | 5 | 41 | 10 | 0 | 128 |
| Nbi Nookers 'B' | 12 | 72(6) | 0 | 6 | 37 | 14 | -1 | 128 |
| Goan Inst'B' | 12 | 60(5) | 0 | 5 | 29 | 23 | -1 | 116 |
| Ruaraka 'B' | 12 | 60(5) | 0 | 3 | 25 | 12 | -1 | 99 |
| Women XI | 12 | 12(1) | 0 | 1 | 31 | 2 | -1 | 45 |
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| NPCA LEAGUE SUMMARISED RESULTS - 50 OVERS - 2nd.Round | ||||
| 8th.November 2009 |
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| Super | SCLYL 'A' | Kanbis 'A' | Pindolia | Kanbis 'A' won by 49 Runs |
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| 238 All Out | 287 All Out |
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| Ravji Varsani - 104 | Rakep Patel - 102 |
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| Naran Jagani - 67 | Rikesh Hirani - 48 |
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| Rikesh Hirani - 3/61 | Suraj V - 3/43 |
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| Rohit V - 2/35 | Mahendra B - 3/69 |
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| Super | Kanbis 'B' | Simba Union 'A' | Eastleigh | No show by Simba Union 'A' |
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| Walk-over | No Show |
| Game awarded to Kanbis 'B' |
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| Super | Sir Ali 'A' | Telca | Sir Ali | Telca won by 124 Runs |
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| 136 All Out | 260 All Out |
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| Alex Obanda - 98 |
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| Super | Swamibapa 'A' | Stray Lions 'A' | Premier | Swamibapa 'B' won by |
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| 214 All Out | 108 All Out |
| 106 Runs |
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| Tony Suji - 39 | Hiren V - 22 |
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| Francis Otieno - 34 | Collins O - 21 |
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| Jimmy K - 3/49 | James Otieno - 4/9 |
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| Hiren V - 2/25 | Nehemiah O - 3/30 |
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| One | Kongonis Dev | Premier | Nbi Club | Kongonis Dev won by 108 Runs |
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| 310 / 5 Wkts | 202 / 5 Wkts |
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| One | Nbi Jafferys | Swamibapa 'B' | Jafferys | Swamibapa 'B won by 7 Wkts |
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| 157 All Out | 158 / 3 Wkts |
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| One | Ngara | Nbi Gymkhana | Ngara | Game awarded to Ngara |
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| Walk Over | No Show |
| Nairobi Gymkhana no show |
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| One | Ruaraka 'A' | Nbi Nookers 'A' | Ruaraka | Nbi Nookers 'A' won by 3 wkts |
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| 234 / 7 Wkts | 237 / 7 |
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| Amit S - 45* | Amit - 82* |
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| David M - 45 | Gerald - 57* |
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| Two | Qutbis | Aga Khan | Seifee | Qutbis won by 50 Runs |
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| 294 / 6 Wkts | 244 All Out |
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| Two | Stray Lions 'B' | SCLYL 'B' | Peponi | Stray Lions 'B' won by 8 wkts |
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| 103 / 2 Wkts | 102 All Out |
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| Bharat - 33 | Anand - 34 |
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| Nitin - 32 | Tanveer - 32* |
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| John - 5/34 | Jigar - 1/19 |
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| Tanzeel - 2/15 | Chandrakant - 1/27 |
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| Two | Goan Institute 'A' | Golden XI | Nbi. Gym | Goan Institute 'A' won by |
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| 189 / 4 Wkts | 185 All out |
| 6 wkts |
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| Jigar Mehta - 64 | Viral - 47 |
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| Quersh B - 48 | Kamlesh - 40 |
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| Ankil - 2/19 | Quersh - 4/33 |
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| Varghese - 1/15 | Rajesh K - 2/38 |
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| Two | Simba Union 'B' | Sir Ali 'B' | Simba | Simba Union 'B' won by |
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| 307 / 9 Wkts | 123 All Out |
| 174 Runs |
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| Hitesh Purohit - 128* | Mohammed - 21 |
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| Avtar Kundi - 40 | Sagar Patel - 17 |
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| Jibran - 5/51 | Gagandeep - 3/17 |
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| Saqib - 2/20 | Manpreet - 2/24 |
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| Three | Oshwal XI | Goan Institute 'B' | Highridge | Oshwal XI won by 61 Runs |
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| 120 All Out | 59 All Out |
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| Josephat - 30 | Savan - 15 |
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| Ketur - 20 | Raj Savla - 4/7 |
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| Betaab - 5/44 | Josephat - 3/5 |
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| Sahil - 2/16 |
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| Three | Women's XI | Nbi Nookers 'B' | Nbi.Sch | Nbi Nookers 'B' won by 50 |
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| 74 All Out | 124 All Out |
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| Three | Parklands | Bye | Bye |
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A Kenyan musical written and composed by Eric Wainaina and directed by John Sibi-Okumu.
Starring: Eric Wainaina, Valerie Kimani, Atemi Oyungu and Mũmbi Kaigwa
Location: The GoDown Arts Centre – Dunga Rd, off Lusaka Rd Tickets available at Silverbird Cinemas (Village Market, Junction and Westgate) and selected Uchumi outlets
Contact Info: Mo Faya 0720 492540 [www.mofayathemusical.com]
Dates: November 11th to December 20th: Wednesdays (1 ticket for 2) – 7.30pm – Sh300 adults, Sh300 students (13-18yrs) Thursdays and Fridays – 7.30pm – Sh600 adults, Sh400 students (13-18yrs) Saturdays – 2.30pm & 7.30pm – Sh800 adults, Sh400 students (13-18yrs) Sundays – 2.30pm – Sh800 adults, Sh400 students (13-18yrs)
DJ Lwanda’s voice rings out daily on local radio, leading and inspiring the Nairobi community of Kwa Maji. But Anna Mali, an avaricious real estate diva, craves the land beneath their slum. She seduces the fiery young DJ away with a job at a top nationwide station, and organizes a violent campaign to terrorize the people of Kwa Maji. When the government and media turn a blind eye to the decapitated bodies in the streets, DJ Lwanda must return home to expose the truth. But at what cost?

It’s no secret that Kenya’s rivers are running dry as a result of forest destruction and environmental degradation which has led to a season of blackouts in the capital city Nairobi.
Typical of the ingenious people of Nairobi one street vendor has cashed in on the crisis with this wonderful gadget which he markets as
“Perfect for Nairobi black out”

As you can see I could actually read by the light of this lamp which is made from a used tin can, some pieces of wire to make the connections

And the battery compartment is ingeniously crafted from a circle cut from a retired flip flop.

I love my juakali lamp and everyone that I know in Nairobi needs one of these lamps. Everything about it is so true to the juakali spirit – hand crafted using colourful recycled tins, and designed for a real purpose with a handle so you can move it around from room to room or hang it up. The vendor tried to sell it to me for Ksh 350 but we settled on Ksh 200 (about $2.50) though I’m sure he would have gone cheaper but the traffic was moving and I had to go.
If you want one visit the Nyayo stadium roundabout. They stood out amongst the chinese junk that vendors are selling you could practically kit out your house from the junk on sale there. Here’s a short list of what I saw during my 30 minute traffic hold up:
Pens, hats, footballs, blow up spiderman (who needs one of these?), peanuts wrapped in newspaper cones,
smelly car things, driveres licence holding cases, scarves, giant maps, Kenya flags, apples, kits (spiderman kites),
Nike shorts, cowboy hats, socks, oanges, backpacks, cheap watches, key chains knives, olympic medals (yes I wanted one of those!),
knee length shorts for guys who sag, hazard ttriangles, cables to cack your car, name tags for meetings, torches, window wipers (!),
car mats, pears, plumbs, tiny folding chairs for children (or Chinese people?), vehicle number plates, fire extinguishers, stickers,
Enormous framed pictures of furry cats and snow leopards (I can just see one of these this in my house), bananas and bandanas, plastic lunch boxes, pillows and cussions, a huge variety of stuffed toys,
posters with Jesus’ sayings, polo shirts, stearing wheel covers, spanners, screw drivers and of course my favourite – juakali lamps.
Nairobi never fails to impress. I love it. What else have you seen on sale in the Nairobi streets?
On Friday I had a long conversation with Noam Cohen from the New York Times about Ushahidi and Twitter. He was doing some homework for an article he was writing on the increased value that geolocation data can add to the massive streams of data coming out of tools like Twitter, called “Refining the Twitter Explosion with GPS“.
A lot of our discussion was centered around location, especially since he was thinking of the Ft. Hood shootings and the value of location in determining useful information from the Twitter stream during that crisis. This is what we’ve built Ushahidi around of course, the idea that location and even small bits of information give us a better understanding of an unfolding crisis. This is just as true of mundane information, or trending topics in a locale, which is why Twitter is building a new geo infrastructure. It couldn’t be in better hands either, with both Ryan Sarver and Schuyler Erle on the team, what Twitter puts out will be top notch.
What was more interesting than just geographical references for information was the combination of two other big ways to parse this data: Time an Tags. We’ve started to see a lot more apps mixing time and location in the past year or two, and we’ll see more as the visualizations for it improve. Categorizing information, pictures and video by keywords (tags) have been around even longer.

We need to see more combinations of tags, time and location in visualizations and platforms. I can’t think of anyone who does all three really well (if you can, please leave the link), though there are a number who do two of them incredibly well – including Flickr’s geocoding of images (tag + location), TwitterThoughts (tag + time) and TwitterVision (time + location), etc.
We have a widening stream of information. The lowered barriers for entry globally, and the encouragement by social tools, means we’re seeing exponential growth rates. Twitter alone saw an increase from 2.4 to 26 million tweets per day in just the last 8 months. We need some way to make sense of this information. Our ability to create information has far surpassed our ability to understand it in a timely manner.
Chris Blow outlined this best with a visual for Swift River for use in a presentation I did at TED this year:
It’s a serious problem and one that only gets deeper with every month that passes. In most areas, it’s not a big deal, but when a crisis, emergency or disaster hits the misinformation and lack of understanding has very real consequences.
I’d love to see more work being done with all three: Time, Tags and Location.