THE USE OF STATISTICS TO DETERMINE ELECTION OUTCOME

Many people assume that election outcomes can be accurately predicted solely through statistics, surveys, and analyses conducted by a particular entity. However, history has shown that even established polling organizations can get it wrong.

A notable example was the 2018 General Election (GE14), where certain entities confidently projected a comfortable victory for the ruling coalition. Yet the actual outcome proved otherwise. At the time, based on my own independent statistical analysis, trend monitoring, demographic assessment, and field observations, I estimated that there was approximately a 70% probability that the opposition would emerge victorious. The election results ultimately aligned with that assessment.

The difference was not merely in the numbers but in the methodology. Statistical models are only as reliable as the quality of the data collected. I observed that some entities appeared to rely heavily on limited sampling, assumptions, historical voting patterns, or data that did not adequately reflect the changing sentiments on the ground. In some cases, there were indications that the data being presented did not fully correspond with realities observed at the grassroots level.

Rather than relying exclusively on desk-based analysis, I made a conscious effort to engage directly with communities, monitor local issues, assess voter sentiment across different demographics, and observe emerging political trends. Ground intelligence often reveals shifts in public opinion long before they become visible in conventional datasets.

This experience reinforced an important lesson: statistics are valuable tools, but they should never be treated as absolute predictors. Effective political analysis requires a combination of quantitative data, qualitative insights, field verification, demographic understanding, socio-economic considerations, and an appreciation of the prevailing public mood. When analysts become detached from realities on the ground, even sophisticated models can produce highly inaccurate conclusions.

Ultimately, elections are decided by voters, not by statistical projections. Data can indicate trends and probabilities, but genuine understanding comes from listening to people, observing developments firsthand, and continuously validating assumptions against realities in the field.

Interestingly, the same entity appears to be repeating a similar approach today, albeit with greater sophistication. This time, there is a noticeable reliance on artificial intelligence, predictive analytics, sentiment analysis, and algorithm-driven forecasting models to project electoral outcomes.

There is no doubt that AI can process enormous volumes of data far more efficiently than humans. However, AI remains dependent on the quality, completeness, and neutrality of the data fed into it. If the underlying assumptions are flawed, if the sampling is biased, or if critical grassroots sentiments are not adequately captured, even the most advanced AI models can generate misleading conclusions.

My concern is not with the technology itself, but with the tendency to place excessive confidence in predictive models while overlooking realities on the ground. Elections are dynamic events influenced by local issues, voter emotions, economic conditions, leadership perceptions, and last-minute shifts in sentiment many of which are difficult to quantify accurately.

What I am observing today bears some resemblance to what occurred before GE14. While the same entity (that wrongly predicted the outcome of 2018 GE and keep doing it wrongly in the 2022 election) appears more cautious in its projections and methodology, there are still indicators suggesting that certain assumptions may not fully reflect the actual mood of voters. Statistical models and AI forecasts may point in one direction, but field observations often tell a different story.

As I learned in 2018, numbers alone do not vote people do. When there is a significant disconnect between modelled projections and grassroots sentiment, the electorate has a way of surprising analysts, pollsters, and political strategists alike.

Whether these latest forecasts prove accurate or not will ultimately be decided at the ballot box. However, based on my own observations, experience, and analysis, I would not be surprised if these predictions are once again proven incorrect.