Data sources

  • A new global gender divide is emerging

    This study came out this week of how men and women are increasingly and sharply diverging in political ideologies:

    https://www.ft.com/content/29fd9b5c-2f35-41bf-9d4c-994db4e12998

    And not just in the US, but many countries.  But in the US it is definitely fueling some misogynist extremist narratives with groups like Proud Boys.  Most recently exhibited by far-right conspiracy theorists fronting the idea that Taylor Swift is a liberal psy-op.

  • Partisan prejudice

    I've been trying to think of data we might have that doesn't paint one side or the other as "bad", but nevertheless reflects the problems of extremism in the PNW.

    Back in the 2020 election violence project, I recalled that we uncovered a 2019 study about partisan prejudice in the US:

    https://www.maproomblog.com/2019/04/the-geography-of-partisan-prejudice/

    I went on an archaeological expedition and dug up the data and crunched the numbers, and Multnomah county is in the top 3% for overall partisan prejudice in the US.  King County in Washington state is in the top 2%. Ada County in Idaho is in the top 22%.

  • Grow it.

    It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more. Or maybe you have a creative project to share with the world. Whatever it is, the way you tell your story online can make all the difference.

  • Protest topics

    List of protest “topic” or “theme” categories

    topic_race_and_hate

    topic_abortion

    topic_anti_police

    topic_biden

    topic_book_bans

    topic_children

    topic_climate_and_animals

    topic_covid

    topic_crime_violence

    topic_drugs

    topic_election

    topic_employment

    topic_first_amendment

    topic_flyers_or_banners

    topic_gun_control

    topic_hate

    topic_health_and_social_services

    topic_housing

    topic_immigration

    topic_incarceration

    topic_indigenous

    topic_infrastructure

    topic_islam

    topic_judaism

    topic_left_extremist

    topic_lgbtq

    topic_local_government

    topic_other_countries

    topic_poverty

    topic_pro_police

    topic_racial_justice

    topic_religious_actors

    topic_right_extremist

    topic_schools

    topic_taxes_prices

    topic_trump

    topic_victimisation_children

    topic_war

    topic_women

  • Test

    It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more. Or maybe you have a creative project to share with the world. Whatever it is, the way you tell your story online can make all the difference.

  • Share it.

    It all begins with an idea. Maybe you want to launch a business. Maybe you want to turn a hobby into something more. Or maybe you have a creative project to share with the world. Whatever it is, the way you tell your story online can make all the difference.

Implicit Bias

Hi all,

A colleague mentioned to me this morning that the Harvard Implicit Bias survey data is publicly available.  If you've never taken their online tests, it is a test that determines how implicitly biased you are against non-white people, women, LGBTQ people, disabled people, etc (they have different surveys for each topic).  You can learn a lot about yourself by taking these tests (for example, it turns out even a woman scientist can be implicitly biased in her views of "appropriate" jobs for women).

The publicly available repository turns out to go back quite a few years and it has geospatial and demographic data on the respondents.  I downloaded the last 10 years of data for the sexuality test and took a look at it.  It turns out that nationwide, between 2014 to 2020 there was a steady decline in implicit anti-LGBTQ bias (among both heterosexual and LGBTQ people).  But then after 2020 there was a sharp uptick in anti-LGBTQ bias among heterosexual people, and it happened in almost every single state.  It's actually stunning how much the temporal trends in implicit bias mirror each other from state-to-state. 

Unfortunately, it turns out that the sharpness of the uptick was worse in the PNW than it was for most other places in the US.  This is worrisome.  I've got the data down to the county level, so if it is felt a more granular look at this is warranted, I can do that.

Best,

-Sherry

US data

PNW data