Integrity/ Corruption
Net—
“Thogo”
Senator — Kiambu
Dr. Machel Waikenda is a prominent Kenyan politician, aviator, and academic who serves as the Nairobi County Secretary, having been nominated to the role by Governor Johnson Sakaja in 2026. Quick Profile • Political Ambitions: He previously ran as a prominent Kiambu County Senator aspirant. • Key Public Service: He was the first Kiambu County Executive Committee Member (CECM) for Youth Affairs (2014–2017) and later served as the Director of Political Affairs at State House under President Uhuru Kenyatta. • Professional Background: He is a trained commercial pilot (formerly with Kenya Airways) and an electrical engineer. • Education: He holds a Doctorate (DBA) in Strategic Management from USIU-Africa, alongside degrees in Law, Finance, and Engineering.
Requires at least two scored assessments per six-hour cycle for both this profile and the comparison field.
Requires at least two scored assessments per six-hour cycle for both this profile and the comparison field.
Awaiting scored assessments
Awaiting scored assessments
Dr. Machel Waikenda is a prominent Kenyan politician, aviator, and academic who serves as the Nairobi County Secretary, having been nominated to the role by Governor Johnson Sakaja in 2026. Quick Profile • Political Ambitions: He previously ran as a prominent Kiambu County Senator aspirant. • Key Public Service: He was the first Kiambu County Executive Committee Member (CECM) for Youth Affairs (2014–2017) and later served as the Director of Political Affairs at State House under President Uhuru Kenyatta. • Professional Background: He is a trained commercial pilot (formerly with Kenya Airways) and an electrical engineer. • Education: He holds a Doctorate (DBA) in Strategic Management from USIU-Africa, alongside degrees in Law, Finance, and Engineering.
Computed live from 0 assessments in the selected period. Strength marks are positive and weakness marks are negative.
Strengths = mean strength marks +p (0–5) · Weaknesses = mean weakness marks −n (0–5) · Net = strengths − weaknesses · bars scale to 5 marks.
Score trends and derived indicators computed live from Dr Michel Waikenda’s assessments in the selected period.
Relative index · Y-axis 0–100
Average true range of individual daily assessment scores; larger values mean more disagreement or movement.
True range = max(high − low, |high − previous close|, |low − previous close|); ATR is its period mean.
The candidate’s mean strength marks minus mean weakness marks across all ten pairs.
Balance = mean strength marks − mean weakness marks; range −5 to +5 per attribute.
Closest assessed profile: Karungo Wa Thangwa.
Similarity = 100 × (1 − Euclidean distance between ten attribute-net means / maximum distance).
Field mean net sentiment: 0.00.
Field gap = profile net sentiment − mean net sentiment of comparison profiles.
Dated mean net, strength, and weakness marks from real scorecard votes.
Each period groups phone-verified assessments by UTC calendar day.
| Date | X̄ (net) | P̄ (strength) | N̄ (weakness) | Assessments |
|---|---|---|---|---|
| 2026-10-20 | 0.0 | +0.0 | −0.0 | 0 |
| 2026-10-21 | 0.0 | +0.0 | −0.0 | 0 |
| 2026-10-22 | 0.0 | +0.0 | −0.0 | 0 |
| 2026-10-23 | 0.0 | +0.0 | −0.0 | 0 |
| 2026-10-24 | 0.0 | +0.0 | −0.0 | 0 |
| 2026-10-25 | 0.0 | +0.0 | −0.0 | 0 |
| 2026-10-26 | 0.0 | +0.0 | −0.0 | 0 |
| 2026-10-27 | 0.0 | +0.0 | −0.0 | 0 |
Assessment means from the current race field in the selected period.