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5 stories to read on the census data drop and what it means for redistricting

People in line to fill out the 2020 census

Recent census data shows America's population became even more diverse over the last decade.

David L. Ryan/Getty Images

Data released by the Census Bureau on Thursday showed America's population is more diverse than ever. For the first time since 1790, the number of people in the country who identify as white declined.

The detailed look into the nation's population changes over the past decade will be key as states can now begin redrawing election maps for the 2020s. But due to delays caused by the coronavirus pandemic, states face a compressed timeline to complete their redistricting plans.

Concerns about the accuracy of the census count also remain. Communities of color have historically been undercounted, but this cycle could see larger disparities due to Covid-19 and efforts by the Trump administration to change the census questionnaire in ways that might have intimidated respondents.


Here are five stories to catch you up on the latest redistricting developments.

What the new census data shows about race depends on how you look at it (NPR)

State redistricting can start with new census data, but litigation looms (Roll Call)

Latinos' next census task: Get money and power through redistricting (NBC)

Five takeaways from a groundbreaking census report (The Hill)

US became more diverse, metro areas grew in last decade, census data shows (Fox News)

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Does either party actually want to win the Senate race in Texas?

US Rep. Jasmine Crockett (D-Texas) speaks during an "Oversight and Government Reform" hearing on Capitol Hill, in Washington, D.C., on Feb. 12, 2025. (Alex Wroblewski/AFP/Getty Images/TNS)

(Alex Wroblewski/AFP/Getty Images/TNS)

Does either party actually want to win the Senate race in Texas?

One of the worst features of the election primary system in our polarized “Red vs. Blue” time is the tendency of primary voters to flock to the candidate they most want to “destroy” the other party, not the candidate best positioned to do so.

Let’s say a zombie is scratching at your door. You’ve got a shotgun, a handgun and your favorite frying pan. The shotgun has the greatest chance of success, the handgun — if one is careful and skilled — has a solid chance of working, and the frying pan? It probably won’t dispatch the threat but, come on, how cool would it be to take out a zombie with a frying pan? So, you go with that.

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artificial intelligence

Rather than blame AI for young Americans struggling to find work, we need to build: build new educational institutions, new retraining and upskilling programs, and, most importantly, new firms.

Surasak Suwanmake/Getty Images

Blame AI or Build With AI? Only One Approach Creates Jobs

We’re failing young Americans. Many of them are struggling to find work. Unemployment among 16- to 24-year-olds topped 10.5% in August. Even among those who do find a job, many of them are settling for lower-paying roles. More than 50% of college grads are underemployed. To make matters worse, the path forward to a more stable, lucrative career is seemingly up in the air. High school grads in their twenties find jobs at nearly the same rate as those with four-year degrees.

We have two options: blame or build. The first involves blaming AI, as if this new technology is entirely to blame for the current economic malaise facing Gen Z. This course of action involves slowing or even stopping AI adoption. For example, there’s so-called robot taxes. The thinking goes that by placing financial penalties on firms that lean into AI, there will be more roles left to Gen Z and workers in general. Then there’s the idea of banning or limiting the use of AI in hiring and firing decisions. Applicants who have struggled to find work suggest that increased use of AI may be partially at fault. Others have called for providing workers with a greater say in whether and to what extent their firm uses AI. This may help firms find ways to integrate AI in a way that augments workers rather than replace them.

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Our Doomsday Machine

Two sides stand rigidly opposed, divided by a chasm of hardened positions and non-relationship.

AI generated illustration

Our Doomsday Machine

Political polarization is only one symptom of the national disease that afflicts us. From obesity to heart disease to chronic stress, we live with the consequences of the failure to relate to each other authentically, even to perceive and understand what an authentic encounter might be. Can we see the organic causes of the physiological ailments as arising from a single organ system – the organ of relationship?

Without actual evidence of a relationship between the physiological ailments and the failure of personal encounter, this writer (myself in 2012) is lunging, like a fencer with his sword, to puncture a delusion. He wants to interrupt a conversation running in the background like an almost-silent electric motor, asking us to notice the hum, to question it. He wants to open to our inspection the matter of what it is to credit evidence. For believing—especially with the coming of artificial intelligence, which can manufacture apparently flawless pictures of the real, and with the seething of the mob crying havoc online and then out in the streets—even believing in evidence may not ground us in truth.

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