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Reading the Supreme Court’s decision in Sackett v. EPA might cause you to question your grasp of the English language. Wetlands are wet but are they water? What is water, anyway? Is it distinct from “waters,” plural? How about the word “adjacent” — does it mean “next to” or is it a nonsensical string of syllables signifying nothing?
Even attempting to explain the breakdown of the court’s decision, issued Thursday, requires small abuses of language. The ruling was “nominally unanimous” in that all the justices technically agreed the Environmental Protection Agency overstepped its jurisdiction when it dinged Michael and Chantell Sackett of Idaho in violation of the Clean Waters Act after they backfilled their property with dirt and rocks in preparation for construction. (The EPA claimed the Sackett’s land was protected wetland; in this specific case, the justices didn’t buy it). But the judges were far from unanimous in their reading of the law more broadly, with conservative Justice Brett Kavanaugh notably breaking from his ideological cohorts to issue a scathing clarifying opinion that was joined by the court’s four liberal judges.
Sackett v. EPA was probably always going to come down to semantics. The case marked the latest chapter in a decades-long legal debate over what counts as “waters” when it comes to the “waters of the United States,” which are federally protected by the 1972 Clear Water Act (CWA). In 1975, the Army Corps clarified that wetlands that are “adjacent to other navigable waters” should be considered a part of that protected body of water, and Congress codified this definition in 1977 when it made amendments to the CWA. This conventional interpretation of the words “waters” and “adjacent” had been the standard for 45 years and survived eight presidential administrations.
But hey, what is a word, really? Who decides what it means? Writing for the five other conservative justices, Samuel Alito proposed that wetlands might not be continuously wet enough to count as part of the larger protected whole:
The EPA argues that “waters” is “naturally read to encompass wetlands” because the “presence of water is ‘universally regarded as the most basic feature of wetlands...’”
… which, yeah, of course. Any child can tell you that wetlands are wet and that the “wet” in question is caused by water, not hot lava or buttermilk. But lo! “[T]hat reading proves too much,” Alito said. “Consider puddles, which are also defined by the ordinary presence of water even though few would describe them as ‘waters.’” It’s not even a creative false equivalency; besides, no one is trying to protect puddles.
Alito further fretted that by allowing for a definition of wetlands that includes, uh, wetlands, landowners could face “crushing” fines for “inadvertent violations” of the Clean Water Act “like moving dirt.” As Alito worried, “What are landowners to do if they want to build on their property?” (“Don’t pollute American waterways” seems like a pretty reasonable answer to that question!)
The real battle, though, boiled down to the word “adjacent.” In a 2006 Supreme Court opinion for Rapanos v. United States, the late conservative Antonin Scalia wrote for the plurality that wetlands only count as protected when they are “indistinguishable from waters of the United States.” (The court was divided and the case was ultimately sent back to the Sixth Circuit.)
By this unorthodox interpretation, the Clean Water Act would only protect “wetlands with a continuous surface connection” to protected waters, as Alito endorsed and wrote in the opinion released Thursday. What this means in real life is that when wetlands are separated from a larger body of protected water by something like a man-made levee or a naturally occurring berm or a sand dune — as many wetlands are — then the wetland in question is not indistinguishable from the larger body of water and thus no longer federally protected.
You might notice that “adjacent” and “continuous” are two different words. When Congress adopted the Army Corps’ language for protecting American waters from pollution, it did not protect wetlands that are “indistinguishable from other waters” but rather wetlands that are adjacent to other waters. As Kavanaugh pointed out:
The ordinary meaning of the term “adjacent” has not changed since Congress amended the Clean Water Act in 1977 to expressly cover “wetlands adjacent” to waters of the United States. Then as now, “adjacent” means lying near or close to, neighboring, or not widely separated. Indeed, the definitions of “adjacent” are notably explicit that two things need not touch each other in order to be adjacent.
Alito’s argument that adjacent means the same thing as adjoining goes “against all indications of ordinary meaning,” Kavanaugh added.
This isn’t just semantic nitpicking. The consequences of changing the definition of “adjacent” to something more like “an extension of” have huge ramifications for what the EPA can now protect. Because of that interpretation, millions of acres of wetlands theoretically just lost their federal protections. The Mississippi River, for example, uses levees to control flooding, but under Alito’s definition of “continuous surface connection,” such barriers would “seemingly preclude Clean Water Act coverage of adjacent wetlands on the other side,” Kavanaugh wrote. Federal protection of the Chesapeake Bay might also be up in the air for similar reasons.
Justice Elena Kagan, in her own extra spicy opinion joined by the other court liberals, ripped into the conservative majority for its word games. “[T]he majority shelves the usual rules of interpretation — reading the text, determining what the words used there mean, and applying that ordinary understanding concurring in judgment even if it conflicts with judges’ policy preferences,” she slammed, then added for good measure: “One last time: ‘Adjacent’ means neighboring, whether or not touching ... That congressional judgment is as clear as clear can be — which is to say, as clear as language gets.”
Of course, the decision isn’t about clarity or standard definitions. It’s about muddying the waters. What, after all, do we now make of wetlands that have surface water levels that fluctuate due to tides or dry spells? What of manmade barriers that existed before their builders knew the structures would cut off a wetland from federal protection? What even counts as a “continuous surface connection” — does a ditch? A pipe? How do we make sense of naturally shifting landscapes like dunes that temporarily cut off wetlands, only to eventually melt away again due to erosion or winds?
The conservative justices are more interested in exploitable ambiguities than answers to these questions.
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The spinoff of Lawrence Livermore National Lab has a new 10-point plan to get onto the grid by the 2030s.
One of fusion energy’s newest startups, Inertia Enterprises, is betting that the fastest route to commercial fusion runs through one of the field’s oldest ideas. The company, which raised a $450 million Series A earlier this year, plans to build a power plant based on the laser-driven fusion system pioneered at Lawrence Livermore National Laboratory’s — the only tech yet to have produced more energy from a fusion reaction than it took to initiate it. Now, Inertia has shared its commercialization roadmap exclusively with Heatmap, detailing the 10 near-term capabilities it must demonstrate before this landmark experiment can become a grid-scale power plant by the mid-2030s.
The roadmap offers a route from the national lab’s impressive but commercially impractical fusion demonstrations to an economical power plant capable of producing electricity for the grid. At its core are a set of milestones — mostly aimed at developing cheap, mass-manufacturable components — that Inertia says it must clear before those individual systems can be integrated into a working plant. This road is not necessarily linear, however, as various teams will likely be working on many of these goals simultaneously.
At least the physics of Inertia’s approach are already proven, the startup’s CEO Jeff Lawson told me, pointing to the fusion experiments at Lawrence Livermore’s National Ignition Facility as a proof-of-concept. The lab’s demonstration of net energy gain caps more than six decades and $30 billion (in 2026 dollars) of U.S. fusion research. The remaining challenges, he argued, are all engineering-related, requiring “elbow grease, hard work, and smart people” rather than breakthroughs in fusion science.
"It seems to us like a startup or a commercial company of any variety should be focused on commercializing a proven scientific result, as opposed to actually trying to demonstrate the basic science to begin with," Lawson told me. Basic science, he argues, is better left to national labs and universities, where researchers can pursue "unbounded problems" that don’t align with the expectations and timelines of venture-backed startups.
Indeed, no fusion startup has yet achieved scientific breakeven, the milestone Lawrence Livermore first hit in 2022, and has since repeated numerous times. But leading players such as Commonwealth Fusion Systems and Helion Energy maintain that it’s only a matter of time before they validate the physics behind their own reactor designs, which they claim will be highly cost-competitive.
Lawson, on the other hand, readily acknowledged that Lawrence Livermore’s tech is uneconomical in its current form. His bet is simply that the more predictable path to a commercial reactor is to drive down the cost of the lab’s validated fusion approach, known as inertial confinement. This system relies on high-powered lasers firing at a millimeter-scale pellet of fusion fuel, compressing it to extreme temperatures and pressures until the atoms fuse. Today, the National Ignition Facility makes each individual fusion target by hand, a workable solution given that it only uses about a dozen per year.
That production model, however, isn’t remotely plausible for a grid-scale power plant. Because each fusion reaction lasts just a fraction of a billionth of a second, a commercial facility must fire its lasers at a fresh target about 10 times per second to generate continuous electricity — requiring the production of hundreds of millions of targets each year.
Scaling production to roughly a million pellets per day and making them inexpensive enough for commercial operation without compromising the strength or precision required for fusion ignition is central to Inertia’s roadmap. That includes goals five, seven, eight and nine — industrializing the manufacturing of the carbon shells that hold the fusion fuel, making the thin films that hold those carbon shells both durable and cheap, scaling up and automating fusion target assembly, and speeding up how fast targets are filled with the requisite deuterium-tritium fuel.
The other central focus of the roadmap is the laser system, which will ultimately consist of 1,000 individual units operating in concert to compress and heat the fusion fuel. Key priorities include reducing the system’s cost (goal two), dramatically increasing its firing cadence (goal three), and bolstering its durability to withstand high-intensity operations (goal four). Goal six also complements these efforts, calling for the development of a control system capable of tracking moving fusion targets to precisely align each laser shot.
Goals one and 10 bookend the journey with some broader milestones. The first focuses on increasing the fusion target’s energy gain — the ratio of fusion energy produced to laser energy delivered — to more than 25 times ignition. Today, the National Ignition Facility’s best-performing laser shot has yielded a gain of just over four times what it took to start the reaction. Goal 10 then zooms out to the ultimate objective: integrating all these technologies into a commercially viable power plant that can deliver either electricity or industrial heat to end customers.
To reach that point, Inertia has embarked on an industrial engineering hiring spree, recruiting folks with experience taking complex hardware systems from prototype to mass production, “not unlike the processes that are used in the semiconductor or consumer electronics world,” Lawson explained. The company has been making progress on its component development goals since the beginning of the year, he told me, and expects to announce the successful demonstration of a few of these milestones in the coming months. Lawson ultimately expects Inertia to complete the core components of its laser and target manufacturing systems by the middle of next year.
The team will spend the next two to three years integrating these individual pieces into two fully operational subsystems, a prototype laser system and a target manufacturing line. Around 2030, the company will begin combining those subsystems into a first-of-a-kind fusion power plant, which will also serve as the proving ground for the target chamber, tritium fuel breeding system, and power conversion system that turns fusion heat into electricity. By the middle of the next decade, Inertia aims to be generating power from this first plant, setting the stage for the company to build and connect additional grid-scale commercial power plants.
There are plenty of engineering trade-offs that the company will have to solve for. Take the decision around how to size the target chamber, for example. “If you make it bigger, your walls have an easier time and survive longer, but it’s more expensive. If you make it smaller, your walls have a tougher time because they’re closer to all the heat and energy that the fusion reaction is creating, but now your power plant costs less to build.”
But to Lawson, this represents exactly the type of problem Inertia was built to solve: complex engineering issues that come to the fore once scientists have demonstrated the fundamental physics are sound. He thinks other fusion companies may someday reach this stage, as well — though he’s unwilling to hazard a guess on exactly what approach or startup is best positioned to do so.
“There have been generations of scientists who’ve made their predictions about fusion energy and gotten it wrong,” he told me. “I’m not going to pretend to be smarter than them. All I’m here to say is, just knowing that one did work, we can commercialize it.”