	author:	Alejandra Borunda	institution:	NPR	¿porque no los dos?
	tl;dr	This NPR investigative story argues that extreme heat is killing far more Americans at home than official records capture, with manufactured housing (mobile homes/trailers) posing outsized risk. It highlights Arizona as a focal point, citing mapping work by ASU researcher Patricia Solis and an NPR–Boston University analysis estimating ~9,000 U.S. heat-related deaths annually—over five times federal counts. The article links vulnerability to aging pre-1976 housing, poor insulation, power outages, high/opaque electricity billing, and complex land-lease/ownership structures, illustrated through fatal case studies in Tucson/Pima County.
	deeper:	The piece is evidence-forward and uses specific comparisons, local examples, and named experts, plus it acknowledges nuance (newer manufactured homes can be efficient) and includes a posted correction—good accountability. Bias is present mainly through framing: strong emphasis on climate change impacts and structural/economic factors (policy, utilities, private equity ownership) with less space for countervailing perspectives (e.g., industry responses, utility/park-owner rebuttals, methodological uncertainty ranges beyond headline figures). Overall reporting quality appears strong for an investigative feature.
media:

	author:	Unknown	institution:	The Conversation (likely)	¿porque no los dos?
	tl;dr	The image appears to be a long-form explainer article (with a prominent illustration and multiple subheadings) laid out in a style consistent with The Conversation. However, the screenshot resolution is too low to reliably read the headline, author, and most body text, so specific claims, evidence, and conclusions cannot be verified from this image alone. From the structure, it looks like an analytical piece intended to inform rather than break news, likely using a segmented argument with definitions, context, and takeaways.
	deeper:	The page design suggests an explanatory/analysis format (illustration, many subheads, long text blocks), which typically aims for clarity and context rather than emotive persuasion—so bias appears limited. Still, because the text is not legible here, I can’t audit sourcing, data accuracy, balance, or whether counterarguments are fairly represented, which lowers the quality score. The structure looks orderly and non-sensational, supporting a roughly centrist presentation.
media:

	author:	Unknown	institution:	ABC News (Australia)	¿porque no los dos?
	tl;dr	The article reports that Waverley Council is pressing on with a master plan for Bondi Junction while the NSW government advances its own state-led rezonings around rail and metro stations to boost housing supply. The council argues its plan focuses on design quality, public spaces and infrastructure to support growth; the state planning minister stresses the urgency of adding new homes and warns councils not to slow delivery. The piece outlines the tension between local planning control and statewide housing targets and indicates the council’s draft plan will go to public exhibition.
	deeper:	The piece presents both the council’s rationale (amenity, design, infrastructure) and the state government’s position (housing urgency, targets). Language is neutral and mostly factual, with direct quotations from named officials. However, it leans slightly toward the council’s framing by devoting more space to its process and principles and less to concrete numbers on what each approach would yield (e.g., dwelling capacity, height/FSR changes, timeframes). It also lacks data on affordability outcomes or independent expert views (transport capacity, infrastructure funding, environmental impacts). Sourcing is clear and timely, but quantitative context is thin, keeping the quality good but not exceptional.
media:

#housing