# Evaluating CSIR Election Result Prediction Accuracy

Analyzing how statistical modeling forecasts South African local government election outcomes.

- **Source:** [SABC News](https://www.sabcnews.com)
- **Published:** 2026-11-07
- **Topic:** [politics](https://brifing.si/c/politics)
- **Original article:** <https://www.sabcnews.com/sabcnews/opinion-how-close-were-the-csir-result-predictions/>
- **On Brifing:** https://brifing.si/s/ec607c3e-ddde-4c49-acf5-ec5370dd297c

## Longstanding Analytical Partnership

The Council for Scientific and Industrial Research has collaborated with SABC News on election forecasting since 2004. This partnership aims to help the public interpret complex voting data during the 2026 Local Government Elections. The organization continuously refines its algorithms to improve accuracy and provide clarity on emerging national voting patterns.

## Methodology and Data Sources

The prediction model relies exclusively on official results verified by the Independent Electoral Commission. By utilizing historical voting behavior and statistical clustering techniques, the system groups districts with similar characteristics. This allows the model to generate accurate projections even before the full count of all voting districts is officially completed.

## Thresholds for Public Disclosure

While the model begins processing data once five percent of votes are verified, public projections are withheld until fifteen percent of results are confirmed. This safety threshold mitigates risks associated with unexpected support levels at the local level. The system maintains a high degree of accuracy, typically within three percentage points.

## Performance in North West

In the North West province, the model demonstrated significant precision with only fourteen percent of votes verified. It projected the ANC at forty-four percent and the DA at fourteen percent. With sixty-nine percent of the count now complete, those exact figures remain unchanged, confirming the model's effectiveness in tracking major party support.

## Mangaung Coalition Dynamics

In Mangaung, the model predicted a decline in ANC support to thirty-seven percent when twenty-four percent of votes were tallied. Current data at eighty-five percent shows the ANC at thirty-one percent, trailing the DA. The model accounts for outstanding wards, which are historically strong ANC areas, to adjust final projections accordingly.

## Gauteng Metro Predictions

Experts anticipated that the three Gauteng metros—Ekurhuleni, Tshwane, and Johannesburg—would result in hung councils. The election outcomes have largely confirmed these initial assessments. The CSIR model successfully identified the rise of ActionSA, which currently holds third place in Johannesburg and Ekurhuleni, and second place in the Tshwane metropolitan area.

## Unforeseen Political Developments

While the model accurately factored in the impact of the MK Party, the rise of the SA Communist Party remained an unforeseen circumstance before counting began. The SACP gained enough votes to secure several council seats. This highlights the inherent challenges in modeling support for smaller parties during volatile local election cycles.

## Future Model Refinements

The CSIR remains satisfied with the model's performance and its ability to withstand the test of time. Development efforts will continue as the organization prepares for the 2029 National and Provincial Elections. These refinements ensure that the public receives reliable, data-driven insights during future democratic processes in South Africa.

## Sources covering this story

- https://www.sabcnews.com/sabcnews/opinion-how-close-were-the-csir-result-predictions/ — 

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_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._