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With the publication of Uncertainty and the Management of Epidemics, we celebrate our 50th column! Since 2013, our Nature Methods Points of Significance has been offering crisp explanations and practical suggestions about best practices in statistical analysis and reporting. To all our readers and coauthors: thank you and see you in the next column!

# It's Snowing in my CPU — a Snowflake catalogue

Art is scence in love.
— E.F. Weisslitz

monia
lipathda
muszo
shancel
saando
sumiphpun
tosey

Somewhere in the world, it's snowing. But you don't need to go far—it's always snowing on this page. Explore light flurries, snowflake families and individual flakes. There are many unusual snowflakes and snowflake family 12 and family 46 are very interesting.

But don't settle for only pixel snowflakes—make an STL file and 3D print your own flakes!

Ad blockers may interfere with some flake images—the names of flakes can trigger ad filters.

And if after reading about my flakes you want more, get your frozen fix with Kenneth Libbrecht's excellent work and Paul Gallico's Snowflake.

This is a collection of snowflakes simulated using the Gravner-Griffeath model, composed of 15,541 snowflakes grouped into 50 families using k-means clustering. This snowflake collection took 128.4 CPU days to compute.

Flakes are categorized by gender. A flake is categorized as female if the freezing parameter $\kappa < \kappa_{\text{median}}$, otherwise it is male.

Each snowflake is also given a unique name generated from a recursive neural network assigned alphabetically based on the snowflake's $\theta$ attachment parameter.

## snowflake artwork

So, we drew things.

The effect of the $\mu$ parameter on the shape of a snowflake. (BUY ARTWORK)
The effect of the $\theta$ parameter on the shape of a snowflake. (BUY ARTWORK)