Kerala Assembly 2026

Can we predict how NDA will perform?

Let's try a few approaches and see what works—and what doesn't.

Scroll to explore
Approach 1

Can we use past Assembly elections?

Let's start simple—look at how NDA performed in past Assembly elections.

YearElectionNDA Vote ShareTurnout
2011Assembly6.0%75.3%
2016Assembly15.0%77.5%
2021Assembly12.4%76.0%
If this trend continued to 2026...
15.6%
(+0.64% per year)

Seems straightforward. But wait...

  • Only 3 data points—that's a tiny sample
  • Ignores what happened in LS and Local elections
Approach 2

What about Local Body elections?

They're more recent. Maybe they're a better signal?

YearElectionNDA Vote Share
2015Local Body13.3%
2020Local Body15.0%
2025Local Body16.0%
Latest Local Body (2025)
16.0%

Closer to 2026, but...

  • Local elections measure ground-level organization, not state voting behavior
  • Turnout patterns are different
  • Local issues dominate—state and national factors are muted
Approach 3

What if we look at all elections?

Each election type tells a different part of the story.

Lok Sabha
2024
19.4%
National mood, high visibility
Local Body
2025
16.0%
Ground organization strength
Assembly
2021
12.4%
Last state-level benchmark

Three different numbers. LS says 19.4%, Local says 16.0%, Assembly says 12.4%.

We can't just average them—they need to be translated to Assembly terms.

The Model

How do we combine these signals?

This is where assumptions come in. Adjust them to see how sensitive the forecast is.

How much does LS overstate Assembly strength?
Typical
How well does Local translate to Assembly?
Average
How strong is the recent trend?
Medium
Will turnout help or hurt NDA?
Neutral
After translation and blending:
14.0%
+ trend (+3.00pp) + turnout (-0.63pp) = 16.3%
Uncertainty

But how confident should we be?

16.3% looks precise—but elections aren't.

Our central estimate
0.0%
But it could easily be
±0.0 percentage points
0.0% to 0.0%

The real question isn't "what's the number?"—it's "how likely are we to cross meaningful thresholds?"

Probabilities

The map of possibilities

Instead of one number, let's think in chances.

≥15%
0%
chance
≥16%
0%
chance
≥17%
0%
chance
≥19%
0%
chance

So what did we learn?

"This isn't a prediction. It's a map of plausible futures."
  • 0% chance of ≥16% — less than even odds, but definitely possible
  • 100% chance of falling short — that's real too
  • The forecast is only as good as the assumptions — scroll back up and try different ones

The goal isn't to find "the right answer"—it's to understand what drives the range of possibilities.