China’s Green‑Gasp and Other Climate Myths

The latest round of climate chatter begins with a claim that China has hidden its real carbon output. Some say the country now looks cleaner because it changed how it counts emissions, but data shows its totals are still climbing. In fact, China’s yearly CO₂ output grew from about 7.9 billion tonnes in 2009 to more than 12 billion by 2024, while the U.S. fell from roughly 5.5 to just under 5 billion. Critics argue that China’s new “intensity” metric excludes many fossil‑fuel uses, giving a false picture of progress. A study by an independent researcher highlighted that the redefinition cuts the apparent growth rate in half, matching the emissions of a mid‑size country like Germany.

A second thread argues that the science behind global warming is overblown. Proponents of “simple physics” claim that a single gas, CO₂, drives the heat trap, but experiments with ice cores show temperature changes come first and gases follow. More complicated models that include water vapor, methane, and other greenhouse gases predict a warming of about 1–1.5 °C if all are doubled—far less than the alarmist projections. The math is not simple; it relies on thousands of spectral lines and assumptions about clouds, which are still poorly understood.

The discussion also touches on battery storage safety. New large lithium‑ion plants are popping up near schools and homes, but a report by an engineer warned that fires in such systems can release heat and toxic gases quickly. The study pointed out that the industry’s safety record over a few years is worse than that of nuclear power, yet regulators treat them as equivalent.

Meanwhile, a city in Colorado plans to heat and cool buildings with warmed sewage. The idea sounds clever—reuse waste heat—but it would require huge plumbing and energy systems, and the city’s own study notes that the project is still in planning stages. Critics say the plan may not be as green as it appears.

Overall, these pieces show that many climate claims rely on selective data or simplified models. A deeper look reveals higher uncertainty and competing factors that are often left out of mainstream discussions.