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HmC

@send-normalcy.bsky.social

Ultra Blue and all that entails

4,540 Followers  |  16,684 Following  |  14 Posts  |  Joined: 27.01.2025  |  2.5048

Latest posts by send-normalcy.bsky.social on Bluesky

You've given this a lot of thought. Good thinking.

15.05.2025 14:15 — 👍 20    🔁 1    💬 1    📌 0

Nothing will ever tarnish Audrey Hepburn's legacy.

12.05.2025 02:20 — 👍 3    🔁 0    💬 0    📌 0
Post image 10.05.2025 17:00 — 👍 96    🔁 23    💬 3    📌 3

Do you know how much CEO pay has skyrocketed since 1978?

100%? 500%?

Try 1,085%

Meanwhile, the $7.25/hr fed. minimum wage hasn't budged in 15 years and the tipped min. wage has been $2.13/hr since 1991.

This is what I mean when I say the system is rigged.

01.05.2025 18:01 — 👍 22468    🔁 8369    💬 625    📌 354

I love adding this one data point to economic charts. It works every time.

29.04.2025 16:41 — 👍 8494    🔁 3369    💬 118    📌 137

I find myself swearing more since the Trump era.

01.05.2025 15:18 — 👍 3    🔁 1    💬 1    📌 1

“Over my many years in politics and business, I have found one thing to be universally true: The kindest person in the room is often the smartest.”
Governor JB Pritzker

@govpritzker.illinois.gov
@jbpritzker.bsky.social

#KindnessMatters

29.04.2025 20:30 — 👍 725    🔁 130    💬 12    📌 8

Please see.

And speak out.

16.04.2025 02:50 — 👍 200    🔁 49    💬 3    📌 2

Reposting with alt text

15.04.2025 00:14 — 👍 3494    🔁 2736    💬 30    📌 50
Post image 15.04.2025 09:56 — 👍 53    🔁 21    💬 1    📌 1

Go Bills!

13.04.2025 16:15 — 👍 4    🔁 0    💬 1    📌 0

Totally support you

14.03.2025 16:06 — 👍 9    🔁 0    💬 0    📌 0

Totally support you

14.03.2025 16:03 — 👍 3    🔁 0    💬 0    📌 0

Emily your writing is riveting and wonderful. I was thoroughly entranced.
H.Ciesla. 💖

23.02.2025 03:49 — 👍 1    🔁 0    💬 0    📌 0

Off with their heads.

21.02.2025 00:38 — 👍 1    🔁 0    💬 0    📌 0

T4 y h u

20.02.2025 17:37 — 👍 91    🔁 29    💬 7    📌 3
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 — 👍 10728    🔁 4822    💬 256    📌 398

"Like" times 10. ☺️

07.02.2025 16:14 — 👍 5    🔁 1    💬 0    📌 0
Post image 07.02.2025 16:06 — 👍 14    🔁 2    💬 2    📌 0

Life's necessities.

07.02.2025 15:43 — 👍 1    🔁 0    💬 0    📌 0

YES. I agree totally

07.02.2025 15:41 — 👍 2    🔁 0    💬 0    📌 0

Not WE!!

02.02.2025 17:30 — 👍 1    🔁 0    💬 0    📌 0

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