Mega Millions Results
For California's Mega Millions draw on Tuesday night, January 13, 2026, 16 40 56 64 66 landed again after a -day wait for California. The interval is wide enough to mark a long-gap outcome.
Winning numbers for 1 draw on January 13, 2026 in California.
Draw times: Evening.
Our take on the Mega Millions results
January 13, 2026Mega Millions report — Tuesday night, January 13, 2026: 16 40 56 64 66 shows a notable pattern
For California's Mega Millions draw on Tuesday night, January 13, 2026, 16 40 56 64 66 landed again after a -day wait for California. The interval is wide enough to mark a long-gap outcome.
Overview
For California's Mega Millions draw on Tuesday night, January 13, 2026, 16 40 56 64 66 landed again after a -day wait for California. The interval is wide enough to mark a long-gap outcome.
Combo Profile
From a number profile angle, the pattern settles on 5 distinct numbers with no repeats. The range from 16 to 66 is a wide spread.
Why Droughts Matter
A long drought is descriptive rather than predictive. It records variance across time and helps analysts evaluate whether outcomes are tracking within expected frequency bands or drifting into the tails of the distribution.
Data Notes
This analysis uses the draw results recorded for Tuesday night, January 13, 2026 and compares them against the observed historical cadence for the game. This is descriptive, based on frequency tracking - not predictive modeling.
From Stepzero
The core idea: this reporting is designed to keep the long-horizon record steady as a reliable record for analysts. The goal is clarity and stability.
Additional Context
Long-horizon measurement matters most when viewed across extended windows. As samples expand, the distribution becomes clearer and anomalies settle into their expected ranges. Stability comes from the accumulation of entries. One draw alone does not define the pattern, but the record grows more reliable with each addition to the dataset.
Adding to the Long-Term Record
With its return, 16 40 56 64 66 contributes another meaningful data point to the historical dataset. Each draw - whether routine or statistically unusual - refines the long-term view of how large random systems behave over time.