According to the Secretary of State’s office, Trump leads Harris by 184,935 in a 53%-46% split.
Former President Donald Trump was declared the winner Saturday night in Arizona, marking the final swing state for the Republican to collect in his landslide victory.
Arizona was the seventh and final swing state to be decided, securing Trump 312 Electoral College votes.
All but Coconino, Apache, Santa Cruz, and Pima counties favored Trump over Vice President Kamala Harris. Maricopa County, the source of dozens of electoral challenges including a partisan ballot review of the 2020 election, is currently favoring Trump by more than 78,000 votes. Trump lost the state to President Joe Biden in 2020 by little more than 10,000 votes.
According to the Secretary of State’s office, Trump leads Harris by 184,935 in a 53%-46% split.
Complete election results aren’t expected for at least another week, which is no different from previous cycles. Two-page ballots with dozens of judicial retention races and ballot propositions led to slower results in the days after polls closed. A new election integrity law enacted this year requiring polling stations to count envelopes before they can send off ballots added to the lag in results.
Both the Trump and Harris campaigns made Arizona a priority throughout the election cycle, either hosting rallies themselves or sending big-name surrogates.
Campaign volunteers descended on Maricopa County to join local activists who knocked on thousands of doors in the days before the election. Many residents complained about the barrage of phone calls, texts, emails, and flyers from numerous organizations.
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Which came first, the chicken or the egg? It’s one of the grand conundrums of history, and it is one that is impacting the rapidly expanding AI datacenter industry related to feeding its voracious electricity needs.
Which comes first, the datacenters or the electricity required to make them go? Without the power, nothing works. It must exist first, or the datacenter won’t go. Without the datacenter, the AI tech doesn’t go, either.
Logic would dictate that datacenter developers who plan to source their power needs with proprietary generation would build it first, before the datacenter is completed. But logic is never simple when billions in capital investment is at risk, along with the need to generate profits as quickly as possible.
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Building a power plant is a multi-year project, which itself involves heavy capital investment, and few developers have years to wait. The competition with China to win the race to become the global standard setters in the AI realm is happening now, not in 2027, when a new natural gas plant might be ready to go, or in 2035, the soonest you can reasonably hope to have a new nuclear plant in operation.
Some developers still virtue signal about wind and solar, but the industry’s 99.999% uptime requirement renders them impractical for this role. Besides, with the IRA subsidies on their way out, the economics no longer work.
So, if the datacenter is the chicken in this analogy and the electricity is the egg, real-world considerations dictate that, in most cases, the chicken must come first. That currently leaves many datacenter developers little choice but to force their big demand loads onto the local grid, often straining available capacity and causing utility rates to rise for all customers in the process.
This reality created a ready-made political issue that was exploited by Democrats in the recent Virginia and New Jersey elections, as they laid all the blame on their party’s favorite bogeyman, President Donald Trump. Never mind that this dynamic began long before Jan. 20, when Joe Biden’s autopen was still in charge: This isn’t about the pesky details, but about politics.
In New Jersey, Democrat winner Mikie Sherrill exploited the demonization tactic, telling voters she plans to declare a state of emergency on utility costs and freeze consumers’ utility rates upon being sworn into office. What happens after that wasn’t specified, but it made a good siren song to voters struggling to pay their utility bills each month while still making ends meet.
In her Virginia campaign, Democrat gubernatorial winner Abigail Spanberger attracted votes with a promise to force datacenter developers to “pay their own way and their fair share” of the rising costs of electricity in her state. How she would make that happen is anyone’s guess and really didn’t matter: It was the tactic that counted, and big tech makes for almost as good a bogeyman as Trump or oil companies.
For the Big Tech developers, this is one of the reputational prices they must pay for putting the chicken before the egg. On the positive side, though, this reality is creating big opportunity in other states like Texas. There, big oil companies Chevron and ExxonMobil are both in talks with hyperscalers to help meet their electricity needs.
Chevron has plans to build a massive power generation facility that would exploit its own Permian Basin natural gas production to provide as much as 2.5 gigawatts of power to regional datacenters. CEO Mike Wirth says his team expects to make a final investment decision early next year with a target to have the first plant up and running by the end of 2027.
ExxonMobil CEO Darren Woods recently detailed his company’s plans to leverage its expertise in the realm of carbon capture and storage to help developers lower their emissions profiles when sourcing their needs via natural gas generation.
“We secured locations. We’ve got the existing infrastructure, certainly have the know-how in terms of the technology of capturing, transporting and storing [carbon dioxide],” Woods told investors.
It’s an opportunity-rich environment in which companies must strive to find ways to put the eggs before the chickens before ambitious politicians insert themselves into the process. As the recent elections showed, the time remaining to get that done is growing short.
David Blackmon is an energy writer and consultant based in Texas. He spent 40 years in the oil and gas business, where he specialized in public policy and communications.
You won’t hear much about Fenbendazole from the regular pipeline of medical information. There could be many reasons for that. For one, it’s primarily known for it’s use in veterinary medicine. Somehow during COVID the medical information pipeline convinced millions that if a drug is used on horses or other animals it couldn’t work for humans. Not sure how they got away with that one considering the use of animal trials for much of modern medical history.
Another possible reason, one that makes at least as much sense, is that there’s no business case for Fenbendazole. It’s been around for decades and its patent expired in the early 1990’s. That means it’s considered a generic drug that a pharmaceutical company from India could (and does) produce in mass quantities for very little profit (compared to non-generics).
So Fenbendazole is an inexpensive, widely accessible antiparasitic drug used in veterinary medicine. During the COVID pandemic a number of doctors, desperate for a suitable treatment, tried it with reportedly great levels of success. Over some time they discovered it might be useful elsewhere. Some doctors are using Fenbendazole to help treat late stage cancer. Often this is prescribed when the regular treatments clearly aren’t working and cancer is approaching or has already been declared stage 4.
What they’ve found at least in some cases is astounding results. This has resulted in a new study which medical researcher Dr. John Campbell shares in this video.
