How India Vote : perspectives from State

© Anant  ·  Lok Sabha Electoral Mathematics  ·  Original Research

Lok Sabha State Model

V(E) = f(x₁…x₂₁) — 21-Variable function mapped to each state's Lok Sabha seat count | © Anant

543

Total LS Seats

272

Majority Mark

28

States

8

UTs

Select any state to see its Lok Sabha seat count, state-specific variable weights, and historical election equations. Simulator shows how many LS seats that state contributes under the given variable conditions. S(seats) ∈ [0, N] where N = that state's Lok Sabha strength.

Select State / UT — Choose State / UT — Uttar Pradesh — 80 seats Maharashtra — 48 seats West Bengal — 42 seats Bihar — 40 seats Tamil Nadu — 39 seats Madhya Pradesh — 29 seats Karnataka — 28 seats Gujarat — 26 seats Rajasthan — 25 seats Andhra Pradesh — 25 seats Odisha — 21 seats Kerala — 20 seats Telangana — 17 seats Assam — 14 seats Jharkhand — 14 seats Punjab — 13 seats Chhattisgarh — 11 seats Haryana — 10 seats Delhi — 7 seats Jammu & Kashmir — 5 seats Uttarakhand — 5 seats Himachal Pradesh — 4 seats Tripura — 2 seats Manipur — 2 seats Meghalaya — 2 seats Arunachal Pradesh — 2 seats Goa — 2 seats Nagaland — 1 seat Mizoram — 1 seat Sikkim — 1 seat Puducherry — 1 seat

80

LS Seats

—

% of 543

403

VS Seats

N

Region

—

⚡ Lok Sabha Seat Simulator for Selected State — drag sliders

V(E) Score

—

State LS Seats

—

Range

Min: 0
Max: —

Verdict

Select a state first

Choose state from dropdown

State's Lok Sabha Seat Track

0———✦——

0 — No LS seat won

1 seat — Minor presence

25–49% — Partial win

50–74% — Strong performance

75–89% — Dominant sweep

90–100% — Clean sweep

Click card to expand · drag slider → seats update live

Master Lok Sabha State Seat Function — © Anant

V(E) = Σ _i=1→21 w_i · x_i · c_i (t,s) + I_alliance − δ_anti-incumb + ε_shock

S(seats) = round( V(E) × N_LS )    where N_LS = Lok Sabha seats of the state
subject to: S ∈ [0, N_LS]  ·  S_min=0  ·  S_max=N_LS
National majority threshold = 272 (out of 543 total Lok Sabha seats)

Symbol Definitions

V(E) ∈ [0,1]

Electoral Victory Probability in the state across all 21 variables

wᵢ ∈ [0,1]

State-adjusted weight of variable i — varies by state political character

xᵢ ∈ ℝ

Intensity of variable i — can be negative (punishing variables)

cᵢ(t,s)

Contextual multiplier — state s at election time t; always positive

I(alliance)

Alliance seat-transfer bonus — state-level NDA/UPA/INDIA alliance synergy

δ

Anti-incumbency ∝ Tenure × Fatigue × State-level Failure_count

ε(shock)

Shock — state-specific or national event (Pulwama, farm laws, flood)

N_LS

State's Lok Sabha seat count — from 1 (Sikkim/NG/MZ) to 80 (UP)

21 Component Sub-Functions

Mathematical Constraints

∴

S ∈ [0, N_LS]

Bounded by state's LS seat count

∴

V(E) ∈ [0,1]

Normalised probability

∴

Σ N_LS = 543

Sum of all state seats = total LS strength

∴

wᵢ state-specific

RP/RL higher in TN/WB; J higher in UP/BI/RJ

∴

ε captures national waves

Pulwama/Balakot → ε↑ in nationalist states

∴

Small N → high volatility

1-seat states (SK, NG) have maximum swing sensitivity

Select a state to see its Lok Sabha election history

© ANANT — All Rights Reserved

All original analytical content, mathematical framework, state-specific Lok Sabha variable definitions,
formulae, electoral model, and visual design are the exclusive intellectual property of Anant.
Unauthorised reproduction or distribution is prohibited.

V(E) = 21-Variable Lok Sabha State Electoral Function  |  S(seats) ∈ [0, N_LS]
Based on: 18 Lok Sabha elections (1952–2024) · State-wise seat history
Original analytical model by Anant. Not a predictive algorithm.