Northern Lights Forecast: Aurora Could Be Visible From These 10 States - Forbes

Google News1/18/2026 – 1/19/2026

Summary

Northern lights, also known as auroras, may be visible across a significant portion of the United States due to a geomagnetic storm forecasted for the evening of January 20. The NOAA Space Weather Prediction Center has issued a G4 (Severe) Geomagnetic Storm Watch, indicating that the effects of a massive coronal mass ejection (CME) are expected to reach Earth. This event could allow the auroras to be seen in areas where they are typically not visible. According to various reports, the northern lights could potentially be visible in up to 24 states. Notable states mentioned include North Carolina and Massachusetts, where residents may have the opportunity to witness the phenomenon. Other states that could experience visibility of the auroras include Texas, which has been highlighted in several sources, as well as states further north that are traditionally known for aurora sightings. The forecasts suggest that the auroras may be visible in states such as Minnesota, Wisconsin, Michigan, and New York, among others. The visibility of the northern lights will depend on local weather conditions and light pollution, which can affect the clarity of the display. As the event approaches, updates will continue to be provided by meteorological sources to inform the public about the best viewing opportunities.

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Lindy Score Breakdown (V4.2)

96d
Age
1
Sources
from cluster
2293
Hours Since Seen
Final Score0/100
CategoryAntiLindy
StatusArchived
Recency Multiplier0% (0.5^2293/48)
Hero EligibleNo
Score is 0 because recency decay (0.5^2293/48 = 0.000000) reduced it below 0.5

Story Timeline

  1. 2026-01-18
    Northern Lights Forecast: Aurora Could Be Visible From These 10 States - Forbes (current)

Score BreakdownRisk 50

Source Reputation: Low-trust source (6/20 pts)
Consensus: Single source - no independent confirmation yet
Age: 96 days - proven survivor

Stories gain Lindy status through source reputation, network consensus, and time survival.

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