Opinion
Opinion: Oakland Needs Good Jobs; Can We Trust Uber to Provide Them?
When The Greenlining Institute joined with other Oaklanders to launch a campaign for Uber to take responsibility for its business practices in Oakland, we got lots of attention — including widespread media coverage and over 1,500 visitors to the campaign website in just the first two days — but also some criticism.
Some of that criticism came from people correctly pointing out that Oakland urgently needs good jobs, and that criticism deserves a response.
One person, for example, wrote:
“We should be joyous that companies want to locate here… How else are jobs going to be created here except by encouraging businesses to locate here?”
Everyone wants good jobs for Oaklanders. And that’s exactly why we need to hold companies like Uber accountable.
From what Uber has said, the company seems likely to employ 200-300 people at first, and possibly many more later. Right now, there’s no guarantee that even one of those jobs will go to anyone who actually lives in Oakland.
If Uber imports workers from Silicon Valley or recruits them from universities where few Oakland students attend, Oaklanders will gain nothing.
Actually, that’s not true. An imported Uber workforce will leave Oaklanders worse off, because those imported, highly-paid workers will compete with Oakland residents for increasingly scarce and pricey housing. And the pressure Uber’s arrival has already put on commercial rents is already costing our city lots of nonprofit jobs that traditionally have belonged to people who live here.
That’s why the Uber community campaign has put jobs front and center. We’ve asked Uber to make concrete, measurable commitments to recruit and hire local workers — both current residents and those who’ve already been driven out by skyrocketing housing costs.
We’ve asked Uber to invest in the training of local workers and students by supporting “pipeline programs” to train Oakland adults and young people for meaningful careers at Uber and other tech companies coming into the area.
And we’ve asked Uber to help preserve and expand the jobs provided by existing Oakland-based businesses by thinking proactively about what vendors it contracts with.
All large companies need to buy lots of goods and services, and Uber will be no exception. If those contracts go to local businesses, that means more jobs for local workers and a stronger homegrown business community.
We agree with our critics that Uber could be good for Oakland, but only if it chooses to act in partnership with Oakland’s residents and businesses.
If it comes in like an invading force — which, to be honest, has been Uber’s business model as it expands its ride-hailing service into new territories — it will leave our city’s workers worse off, not better.
No one wants to turn away companies that could bring jobs to our town, but all we have to do is look across the bay to San Francisco to see what happens when a tech boom includes no social responsibility: Rents and evictions soar, wealthy tech workers displace the nurses, teachers, cooks and plumbers who form the backbone of our communities, and longtime residents end up worse off or get forced out entirely.
No sane person wants that kind of future for Oakland.
A real Oakland jobs agenda must include a meaningful commitment to the local workforce by Uber and other major corporations coming into our city. If you support a real jobs agenda in Oakland, please join us.
Orson Aguilar is president of The Greenlining Institute. Gay Plair Cobb is CEO of Oakland Private Industry Council, Inc.
Activism
Oakland Post: Week of January 8 – 14, 2025
The printed Weekly Edition of the Oakland Post: Week of January 8 – 14, 2025
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Activism
Expect The Worst? Political Scientists Have a Pessimism Bias, Study Finds
The research, co-authored by UC Berkeley political scientist Andrew T. Little, offers a possible solution: an approach that aggregates experts’ predictions, finds the middle ground, and then reduces the influence of pessimism, leading to the possibility of “remarkably accurate predictions.”
Political experts surveyed recently were prone to pessimism — and were often wrong, says a study co-authored at UC Berkeley. Still, when their predictions were averaged out, they were ‘remarkably accurate’
By Edward Lempinen, UC Berkeley News
The past decade has seen historic challenges for U.S. democracy and an intense focus by scholars on events that seem to signal democratic decline. But new research released two weeks ago finds that a bias toward pessimism among U.S. political scientists often leads to inaccurate predictions about the future threats to democracy.
The research, co-authored by UC Berkeley political scientist Andrew T. Little, offers a possible solution: an approach that aggregates experts’ predictions, finds the middle ground, and then reduces the influence of pessimism, leading to the possibility of “remarkably accurate predictions.”
The study was released by Bright Line Watch, a consortium of political scientists who focus on issues related to the health of U.S. democracy. It offers provocative insight into political scientists’ predictions for the months ahead, including some that would be seen as alarming risks for democracy.
According to an analysis that Little distilled from a Bright Line Watch survey done after the November election, political scientists generally agreed that incoming Republican President Donald Trump is highly likely to pardon MAGA forces imprisoned for roles in the Jan. 6, 2021 uprising that sought to block the peaceful transfer of power from Trump to Democrat Joe Biden.
The research concluded that it’s less likely, but still probable, that Trump will pardon himself from a series of federal criminal convictions and investigations, and that his allies will open an investigation of Biden.
In understanding the future course of U.S. politics, Little said in an interview, it’s important to listen to the consensus of expert political scientists rather than to individual experts who, sometimes, become media figures based on their dire predictions.
“If we’re worried about being excessively pessimistic,” he explained, “and if we don’t want to conclude that every possible bad thing is going to happen, then we should make sure that we’re mainly worrying about things where there is wider consensus (among political scientists).”
Believe the Consensus, Doubt the Outliers
For example, the raw data from hundreds of survey responses studied by Little and Bright Line researchers showed that more than half of the political scientists also expected Trump to form a board that would explore the removal of generals; deport millions of immigrants; and initiate a mass firing of civil service government employees.
But once the researchers aggregated the scholars’ opinions, determined the average of their expectations and controlled for their pessimism bias, the consensus was that the likelihood of those developments falls well below 50%.
Bright Line Watch, founded in 2016, is based at the Chicago Center on Democracy and is collaboratively run by political scientists at the University of Chicago, Dartmouth College, the University of Michigan and the University of Rochester in New York.
The research collaboration between Little and the Bright Line Watch scholars sprang from a collegial disagreement that emerged last January in the pages of the journal Political Science and Politics.
Little and Anne Meng, a political scientist at the University of Virginia, authored a research paper in that issue positing that there is little empirical, data-based evidence of global democratic decline in the past decade.
At the request of the journal editors, scholars at Bright Line Watch submitted a study to counter the argument made by Meng and Little.
But in subsequent weeks, the two teams came together and, in the study released on Dec. 17, found agreement that raw opinion on the state of democracy skews toward pessimism among the political scientists who have participated in the surveys run by Bright Line Watch.
A Stark Measure of Pessimism (and Error)
Surveys conducted during election seasons in 2020, 2022 and 2024 asked political scientists to provide their forecasts on dozens of scenarios that would be, without doubt, harmful for democracy.
The raw data in the new study showed a high level of inaccuracy in the forecasts: While the political scientists, on average, found a 45% likelihood of the negative events happening, fewer than 25% actually came to pass.
Before last month’s election, Bright Line Watch asked the political scientists to assess dozens of possibilities that seemed to be ripped from the headlines. Would foreign hackers cripple voting systems? Would Trump or Vice President Kamala Harris, the Democratic candidate, declare victory before the winner was called by the news media? Would Trump incite political violence again?
Altogether, the political scientists predicted a 44% probability for the list of negative events — but only 10% actually happened.
In the interview, Little defended the focus on possible negative developments by political scientists and others. It’s “very important” to be aware of the potential for harmful developments, he said.
But the focus on worst-case scenarios can also be distracting and destabilizing. The question, then, is why political scientists might develop a bias for pessimism.
To some extent, Little said, it may be a matter of expertise. The data show that scholars who specialize in American politics tend to be the least pessimistic — and the most accurate — forecasters. Political scientists with expertise in international relations, political theory or other areas tend to be more pessimistic and less reliable.
Little offered several other possible explanations. For example, he said, when scholars focus on one narrow area, like threats to democracy, they might see the potential threats with a heightened urgency. Their worry might shape the way they see the wider political world.
“People who study authoritarian politics are probably drawn to that because they think it’s an important problem, and they think it’s a problem that we need to address,” he explained. “If you spend a lot of your time and effort focusing on bad scenarios that might happen, you might end up thinking they’re more likely than they really are.”
And occasionally, he said, scholars may find that raising alarms about imminent dangers to democracy leads to more media invitations.
The Battle for Scholars’ Public Credibility
For the interwoven fields of political science and journalism — and for the wider health of democracy — accuracy is essential. That’s the value of the analytical system described by the authors of the new study. If researchers can find the expert consensus on complex issues and tone down unwarranted alarm, understanding should improve, and democracy should operate more efficiently.
Still, Little cautioned, it would be a mistake to discount or discard the insights offered by expert political scientists.
“You don’t want to say, ‘I’m just going to ignore the experts,’” he advised. “This research shows that that would be a very bad idea. Once you do the adjustments, the experts are very informed, and you can learn a lot from what they say.
Arts and Culture
Book Review: Building the Worlds That Kill Us: Disease, Death, and Inequality in American History
Nearly five years ago, while interviewing residents along the Mississippi River in Louisiana for a book they were writing, authors Rosner and Markowitz learned that they’d caused a little brouhaha. Large corporations in the area, ones that the residents of “a small, largely African American community” had battled over air and soil contamination and illness, didn’t want any more “’agitators’” poking around. They’d asked a state trooper to see if the authors were going to cause trouble.
By Terri Schlichenmeyer
Author: David Rosner and Gerald Markowitz, c.2024, Columbia University Press, $28.00
Get lots of rest.
That’s always good advice when you’re ailing. Don’t overdo. Don’t try to be Superman or Supermom, just rest and follow your doctor’s orders.
And if, as in the new book, “Building the Worlds That Kill Us” by David Rosner and Gerald Markowitz, the color of your skin and your social strata are a certain way, you’ll feel better soon.
Nearly five years ago, while interviewing residents along the Mississippi River in Louisiana for a book they were writing, authors Rosner and Markowitz learned that they’d caused a little brouhaha. Large corporations in the area, ones that the residents of “a small, largely African American community” had battled over air and soil contamination and illness, didn’t want any more “’agitators’” poking around. They’d asked a state trooper to see if the authors were going to cause trouble.
For Rosner and Markowitz, this underscored “what every thoughtful person at least suspects”: that age, geography, immigrant status, “income, wealth, race, gender, sexuality, and social position” largely impacts the quality and availability of medical care.
It’s been this way since Europeans first arrived on North American shores.
Native Americans “had their share of illness and disease” even before the Europeans arrived and brought diseases that decimated established populations. There was little-to-no medicine offered to slaves on the Middle Passage because a ship owner’s “financial calculus… included the price of disease and death.” According to the authors, many enslavers weren’t even “convinced” that the cost of feeding their slaves was worth the work received.
Factory workers in the late 1800s and early 1900s worked long weeks and long days under sometimes dangerous conditions, and health care was meager; Depression-era workers didn’t fare much better. Black Americans were used for medical experimentation. And just three years ago, the American Lung Association reported that “’people of color’ disproportionately” lived in areas where the air quality was particularly dangerous.
So, what does all this mean? Authors David Rosner and Gerald Markowitz don’t seem to be too optimistic, for one thing, but in “Building the Worlds That Kill Us,” they do leave readers with a thought-provoker: “we as a nation … created this dark moment and we have the ability to change it.” Finding the “how” in this book, however, will take serious between-the-lines reading.
If that sounds ominous, it is. Most of this book is, in fact, quite dismaying, despite that there are glimpses of pushback here and there, in the form of protests and strikes throughout many decades. You may notice, if this is a subject you’re passionate about, that the histories may be familiar but deeper than you might’ve learned in high school. You’ll also notice the relevance to today’s healthcare issues and questions, and that’s likewise disturbing.
This is by no means a happy-happy vacation book, but it is essential reading if you care about national health issues, worker safety, public attitudes, and government involvement in medical care inequality. You may know some of what’s inside “Building the Worlds That Kill Us,” but now you can learn the rest.
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