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Lauren Tighe

@laurenatighe

Northwestern assistant research professor studying family and two-gen programs • UMich alumna • Taco Bell, Diet Coke, Real Housewives enthusiast • she/her

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23.09.2023
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Latest posts by Lauren Tighe @laurenatighe

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End of the year gifts from my long-time RA 😭

09.06.2025 15:00 👍 1 🔁 0 💬 0 📌 0

How come “shrinking government” always involves taking away school lunches and building 3,000 more prisons.

30.04.2025 03:33 👍 8407 🔁 2173 💬 150 📌 71
An image with a prescription pill bottle. Text on the image reads: 99% of all new medications resulted from federally-funded university research through NIH

An image with a prescription pill bottle. Text on the image reads: 99% of all new medications resulted from federally-funded university research through NIH

Did you know? 99% of all new medications resulted from federally-funded university research through #NIH

Learn more about #ResearchSavesLives: hub.jhu.edu/research-sav....

16.04.2025 20:31 👍 344 🔁 172 💬 5 📌 3
Preview
Why aren’t universities using their billion-dollar endowments to fight Trump? Rich universities can afford to push back against the administration. Here’s why they aren’t.

www.vox.com/education/40...

09.04.2025 14:13 👍 1 🔁 0 💬 0 📌 0
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Justice for Rümeysa Öztürk Dear Friends, Allies, and Supporters,

Legal fund for Rümeysa Öztürk:
chuffed.org/project/just...

31.03.2025 11:09 👍 317 🔁 186 💬 3 📌 3

Michigan watching Columbia give in and continue to get attacked:

27.03.2025 22:51 👍 794 🔁 214 💬 24 📌 4

I also find it presumptuous that we (Americans) assume we can just move to and work in any country for an indefinite amount of time??

27.03.2025 19:38 👍 1 🔁 0 💬 1 📌 0
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A thank you note from a student where they drew my oft-mentioned cat Stella 🥺

12.03.2025 17:05 👍 1 🔁 0 💬 0 📌 0

This International Women's Day, I'm thinking about how it wasn't required for NIH-sponsored trials to include women until 1993.

08.03.2025 16:17 👍 596 🔁 196 💬 6 📌 7
Support Critical Government Data Preservation | Institute for Social Research

ICPSR at University of Michigan has been one of the longest-running secure data archives in the world and is stepping up to the challenges being presented in the current U.S. environment to keep government data as a resource for researchers and policymakers. isr.umich.edu/giving/suppo...

22.02.2025 18:39 👍 450 🔁 151 💬 6 📌 8

Not a birth cohort or health focused, but the new ECLS-K being cut by DOGE broke my heart. Glad to see other countries are prioritizing comprehensive, long-term datasets.

20.02.2025 14:56 👍 1 🔁 0 💬 1 📌 0
Scatterplot titled “Empirical Evidence of Ideological Targeting in Federal Layoffs: Agencies seen as liberal are significantly more likely to face DOGE layoffs.”
	•	The x-axis represents Perceived Ideological Leaning of federal agencies, ranging from -2 (Most Liberal) to +2 (Most Conservative), based on survey responses from over 1,500 federal executives.
	•	The y-axis shows Agency Size (Number of Staff) on a logarithmic scale from 1,000 to 1,000,000.

Each point represents a federal agency:
	•	Red dots indicate agencies that experienced DOGE layoffs.
	•	Gray dots indicate agencies with no layoffs.

Key Observations:
	•	Liberal-leaning agencies (left side of the plot) are disproportionately represented among red dots, indicating higher layoff rates.
	•	Notable targeted agencies include:
	•	HHS (Health & Human Services)
	•	EPA (Environmental Protection Agency)
	•	NIH (National Institutes of Health)
	•	CFPB (Consumer Financial Protection Bureau)
	•	Dept. of Education
	•	USAID (U.S. Agency for International Development)
	•	The National Nuclear Security Administration (DOE), despite its conservative leaning (+1 on the scale), is an exception among targeted agencies.
	•	A notable outlier: the Department of Veterans Affairs (moderately conservative) also faced layoffs despite its size.

Takeaway:

The figure visually demonstrates that DOGE layoffs disproportionately targeted liberal-leaning agencies, supporting claims of ideological bias. The pattern reveals that layoffs were not driven by agency size or budget alone but were strongly associated with perceived ideology.

Source: Richardson, Clinton, & Lewis (2018). Elite Perceptions of Agency Ideology and Workforce Skill. The Journal of Politics, 80(1).

Scatterplot titled “Empirical Evidence of Ideological Targeting in Federal Layoffs: Agencies seen as liberal are significantly more likely to face DOGE layoffs.” • The x-axis represents Perceived Ideological Leaning of federal agencies, ranging from -2 (Most Liberal) to +2 (Most Conservative), based on survey responses from over 1,500 federal executives. • The y-axis shows Agency Size (Number of Staff) on a logarithmic scale from 1,000 to 1,000,000. Each point represents a federal agency: • Red dots indicate agencies that experienced DOGE layoffs. • Gray dots indicate agencies with no layoffs. Key Observations: • Liberal-leaning agencies (left side of the plot) are disproportionately represented among red dots, indicating higher layoff rates. • Notable targeted agencies include: • HHS (Health & Human Services) • EPA (Environmental Protection Agency) • NIH (National Institutes of Health) • CFPB (Consumer Financial Protection Bureau) • Dept. of Education • USAID (U.S. Agency for International Development) • The National Nuclear Security Administration (DOE), despite its conservative leaning (+1 on the scale), is an exception among targeted agencies. • A notable outlier: the Department of Veterans Affairs (moderately conservative) also faced layoffs despite its size. Takeaway: The figure visually demonstrates that DOGE layoffs disproportionately targeted liberal-leaning agencies, supporting claims of ideological bias. The pattern reveals that layoffs were not driven by agency size or budget alone but were strongly associated with perceived ideology. Source: Richardson, Clinton, & Lewis (2018). Elite Perceptions of Agency Ideology and Workforce Skill. The Journal of Politics, 80(1).

The DOGE firings have nothing to do with “efficiency” or “cutting waste.” They’re a direct push to weaken federal agencies perceived as liberal. This was evident from the start, and now the data confirms it: targeted agencies overwhelmingly those seen as more left-leaning. 🧵⬇️

20.02.2025 02:18 👍 10676 🔁 4783 💬 252 📌 397

Todd is clearly not into the reality tv life!!!

14.11.2024 03:15 👍 0 🔁 0 💬 1 📌 0
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On Saturday, my Northwestern child and family policy class went on a tour of Bronzeville with Chicago historian Shermann Thomas (6figga_dilla). We learned and laughed a lot and then got to eat amazing soul food at Pearl’s Place!

31.01.2024 20:46 👍 3 🔁 0 💬 0 📌 0

When you buy five reams of 8.5x14 paper instead of 8.5x11 😑

10.01.2024 19:00 👍 1 🔁 0 💬 0 📌 0

Congrats Neil!!

03.11.2023 01:42 👍 1 🔁 0 💬 1 📌 0

I love Sailor Moon and this has me 😂

19.10.2023 22:53 👍 1 🔁 0 💬 0 📌 0

Ok serious villain character!! And am I automatically in the blue team alliance because I also have a September birthday??

29.09.2023 01:48 👍 1 🔁 0 💬 1 📌 0

My cholesterol 😅

28.09.2023 19:16 👍 1 🔁 0 💬 0 📌 0

Resisting the urge to reward myself with a little treat after every basic task

28.09.2023 14:52 👍 8 🔁 0 💬 2 📌 0

I think I’m going to start watching this season!!

28.09.2023 01:41 👍 1 🔁 0 💬 1 📌 0

Those hours make me cry 😭

25.09.2023 16:08 👍 2 🔁 0 💬 1 📌 0