# Blog post: some dimensionality devils

**URL:** <https://discourse.pymc.io/t/blog-post-some-dimensionality-devils/9484>\
**Category:** Sharing\
**Tags:** prior, arviz\
**Created:** [May 24, 2022, 9:50pm UTC](https://discourse.pymc.io/t/blog-post-some-dimensionality-devils/9484 "2022-05-24T21:50:20Z")\
**Posts on this page:** 1\
**Page:** 1

<div class="post-metadata">

**Author:** ![OriolAbril](https://yyz2.discourse-cdn.com/flex036/user_avatar/discourse.pymc.io/oriolabril/32/2497_2.png) [@OriolAbril](https://discourse.pymc.io/u/OriolAbril)\
**Post date:** [May 24, 2022, 9:50pm UTC](https://discourse.pymc.io/t/blog-post-some-dimensionality-devils/9484/1 "2022-05-24T21:50:20Z")

</div>

After a long hiatus I am trying to write blog posts regularly. Today I published a somewhat coherent (I think) post about not preserving the dimensionality of the information/problem at hand and some problems that can come from this:

> **[Some dimensionality devils](https://oriolabrilpla.cat/python/arviz/pymc/xarray/xarray-einstats/2022/05/25/too-eager-reduction.html)**
>
> Common cases of excessively eager dimensionality reduction

The post also shows ways to solve some of these problems with ArviZ, xarray and [xarray-einstats](https://einstats.python.arviz.org/en/latest/).

I hope you’ll find it useful even if it’s a bit of a rant