Politics
8 min read
Automated Sampling Eliminates Bias in NPP Delegate Survey
MyJoyOnline
January 19, 2026•3 days ago

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Dr. Evans Duah's nationwide study on the NPP's 2026 presidential primaries utilized fully automated, randomized sampling to eliminate human bias. This system-driven approach selected participants from a verified delegate population, ensuring equal representation. The study, conducted between August 2025 and January 2026, found Kennedy Agyapong as the frontrunner, likely securing over 50% of the vote.
An independent researcher, chartered accountant, lecturer and financial economist, Dr Evans Duah, has underscored the use of a fully automated and randomised sampling process in his nationwide study on the New Patriotic Party’s (NPP) 2026 presidential primaries, which put Kennedy Agyapong ahead.
Automated sampling is the process of using mechanical systems to collect representative samples at set intervals, without human intervention, to ensure accuracy, efficiency, and consistency in analysis for quality control, research, or process monitoring.
The study was conducted between August 2025 and 9 January 2026. According to the researcher, Mr Agaypong is the only presidential aspirant likely to secure more than 50 per cent plus one vote in the party’s flagbearer primaries scheduled for January 31.
Read Also: Kennedy Agyapong emerges frontrunner in NPP flagbearer race in new study
Speaking on The Pulse on JoyNews on Monday, January 19, Dr Duah said the methodology eliminated human interference and bias, relying entirely on a system-driven approach to select participants from a verified delegate population of 204,893.
“The sampling was actually not manually done. It is entirely system-driven and totally randomised,” Dr Duah said. “There is no human interface, so that nobody knows who is being called. We simply picked delegates from the database, or ‘album’, and the system does the rest.”
He explained that the automated process represents a departure from traditional political polling methods in Ghana, which often rely on manual sampling or field interviews that can introduce selection bias or errors.
According to Dr Duah, the approach ensures that every delegate, regardless of status, has an equal chance of being selected.
He noted that about 5.5 per cent of the delegate base comprises MPs, councils of elders and patrons, constituency executives and polling station executives, while 94 per cent are grassroots members, a structure he said was accurately reflected in the randomised sample.
“Automation ensures credibility,” he said. “The numbers reflect reality, not perception. No individual can influence the selection, and delegates respond without pressure or preconceptions. This is how we can confidently report that Kennedy Agyapong is currently leading in delegate support.”
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