Skip to content

Update DQUL_July.qmd #362

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
annie171261 wants to merge 2 commits into
base: main
Choose a base branch
from
Open

Update DQUL_July.qmd #362

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
da035aa
Update DQUL_July.qmd
annie171261 Jul 31, 2026
cf26b0d
Merge branch 'main' into 28.07
annie171261 Aug 3, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions the-pulse/posts/2026/07/31/DQUL_July.qmd
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -44,13 +44,13 @@ Importantly, six states—Colorado, Minnesota, Rhode Island, Florida, Texas and

There were twenty-one states with large miscounts, with ten states having large undercounts and eleven large overcounts.

![](https://realworlddatascience.net/images/table1.webp)
![](images/table1.webp)

Conducting a census is difficult (try simply counting your socks!) and the pandemic added enormous challenges. One should expect problems. Further, as we’ve already noted, the census is used for many purposes. But none of this means that the central issue for representative democracy can be overlooked.

Had each state simply been over- or undercounted by a similar proportion, apportionment issues would likely have been minor. But the state-to-state variation is large, especially compared to the 2010 census. In 2010, estimated miscount rates were tightly clustered near zero, while for 2020 they were much more dispersed, which is especially clear looking at the below chart:

![](https://realworlddatascience.net/images/fig1.webp)
![](images/fig1.webp)

Ultimately, the high state-to-state variation and high miscount rates led to the different numbers of representatives officially apportioned and those projected using PES estimated state populations.

Expand Down
Loading