So at the start of quarantine I decided to map out an election in the hopes of becoming a part of #ElectionTwitter. Now after four months, I've finally finished it. 1/17

The map that I plotted was a composite election of the 2016 presidential primaries in my home state of California. I based the idea on what the presidential primary results would be if they where run like the jungle primaries here in California. 2/17

For those of you know don't know, a jungle primary is when all candidates for an office run on the same primary ballot regardless of party affiliation. The 2 candidates with the most votes progress to the general election regardless of party. 3/17

In California, the presidential primaries are the only ones not done in this manor. Here, you still vote on the Democratic, Republican, Libertarian, etc. Party's primaries. I thought it would be interesting to see what a jungle primary in this scenario would look like 4/17

This may not be a surprise, but the top 3 candidates where Donald Trump, Bernie Sanders, and Hillary Clinton. The total votes where:

Clinton: 2,745,302 (36.68%)
Sanders: 2,381,772 (31.82%)
Trump: 1,665,135 (22.43%)
Others: 691,792 (9.25%)
Total: 7,483,951 (100%)

5/17

This means that under a jungle primary system, Clinton and Sanders would progress to the general election in November. Despite finishing 3rd, Trump won half (29) of the counties. Clinton got the 2nd most w/18 & Sanders the least w/11

Here's the data from each county. 6/17

One reason that contributed to Sanders' strong performance is that he got the second most votes in 31/58 counties. Clinton got the 2nd most with 19 & Trump the least with 8. 7/17

Despite finishing first, Clinton never got over 50% in any county. Sanders got over 50% in 2 country, while Trump got over 50% in 3. 8/17

Out of the 3 major candidates, Trump had the most range. Getting over 50% and under 10%. His main strength was in the North of the state, the political stronghold of Republicans in California. While Trump performed poorly on the coast... 9/17

...he also performed poorly in the Republicans traditional home, Southern California. Despite coming in first in Orange County, Trump only got 33% of the vote. With only a 5% difference between Trump and Clinton (who got second).... 10/17

...This can be, in part, because of Trump's hardline anti-immigration stances. With a influx of immigrants from south of the U.S. boarder, that irrevocably made SoCal more pro-immigration.

Best county: Modoc (56.68%)
Worst county: San Francisco (3.92%)

11/17

Sanders in the other candidate to get over 50% in a county. His strength was in college towns and with younger voters in particular up north. Outside of areas with strong Democratic votes, Sanders did well up north because his campaign had invested... 12/17

...a lot of money and ads in the recently concluded Oregon primary.

. Best county: Humbolt (52.09%)
. Worst county: Modoc (15.90%)

13/17

Of the 3, Clinton had the most stable performance. While she never got ober 50%, Clinton also never got under 10% as well. While Clinton did not do well in the north, she performed well in the Democratic stronghold of the San Francisco Bay area... 14/17

...as well as making gains down south. This was primarily due to Clinton's investments in advertising to the Latinx/Hispanic and Asian-American electorate. Clinton also won every major city in the state: Sacramento, San Francisco... 15/17

...San Jose, Fresno, Los Angeles, and San Diego. This combination of appealing to the state's diverse electoral and urban areas got Clinton the most votes overall.

Best county: San Francisco (49.43%)
Worst county: Modoc (12.90%)

16/17

So as my first foray into map making and #ElectionTwitter, I really did enjoy this. I liked making this map and gathering the data, so this is something I'll definitely be doing again soon! I hope y'all enjoyed this thread cus I enjoyed making this! 17/17

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