swarmalpha MINERVA KNOWLEDGE LAYER
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POLITICAL FORECAST OBJECT / US 2024

13 Keys.
Three lenses.
One result.

A historic forecasting model meets community intelligence, market information and retrospective verification against the actual election result.

Snapshot: 5 September 2024 Post-event reviewed Source-based
LICHTMAN MODEL / PUBLISHED SNAPSHOT HARRIS FORECAST
8 TRUE
3 FALSE
2 OPEN
0
6 FALSE = CHANGE
6

The published model did not regard the critical threshold as having been reached. The actual election result contradicted the forecast.

ACTUAL RESULT DONALD TRUMP 47th President-elect

01 / THE WHITE HOUSE KEYBOARD

Do not merely count.
Understand every key.

02 / MODEL VS CROWD VS MARKET

Three systems of evidence.
Three different questions.

The values are not interchangeable. The model classifies conditions, the community assesses whether they are met, and a market prices the expected outcome.

STRUCTURAL MODEL

13 Keys

Harris

Historical conditions and qualitative assessment of the incumbent party.

Deterministic output
COMMUNITY LAYER

Opinion Miner

Key-by-Key

Transparent aggregation of many individual, time-stamped assessments.

Non-monetary · C/O/I/N
MARKET LAYER

Prediction Market

Probability

Price-based expectation of the election outcome, influenced by information and trading.

Separate data source
MODEL What historical conditions should favour the incumbent party?
CROWD How do many people assess the individual conditions?
MARKET Which election outcome does a price-forming market expect?
OUTCOME What actually happened?

03 / POST-EVENT REVIEW

An incorrect forecast is
not an endpoint. It is a dataset.

01

Model or assessment?

Was the underlying logic inadequate—or were individual keys classified using incorrect assumptions?

02

Subjective thresholds

Primary contest, scandal, foreign-policy success and charisma require explicit assessment criteria.

03

Structural break in 2024

The switch from Biden to Harris created an exceptional case for incumbency, the primary contest and the model’s temporal logic.

04

Calibration

A deterministic winner call contains no visible uncertainty. swarmalpha makes that additional layer measurable.

Methodological note: The key assignments are a source-based reconstruction of the published September snapshot, not a new forecast. The original model, community values, market prices and swarmalpha analysis remain separate layers.

PRIMARY REFERENCE

Harris or Trump? Allan Lichtman Releases His Prediction

American University · 5 September 2024
Open source

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