A woman in Rotorua was convicted of assaulting a man who confronted her over illegal parking, resulting in a six-month supervision sentence and a $500 emotional harm payment, with significant ongoing physical and mental health impacts reported by the victim.
Stacked weekly counts; colour by lean. “n/a” covers government and iwi-Māori sources where lean isn't applicable.
How this topic has been named, week by week. A new alias winning out is usually a framing shift.
Verbatim segments from politicians speaking on podcasts and radio shows about this topic. Sourced via the voice-reference library — each speaker has been confirmed manually from their voice clip. Click play to stream the original audio from the publisher, pre-seeked to the moment the quote starts.
But if it does happen, they will need 475 million dollars in compensation. Eh? The old money to make it go away situation, quarter past. Now, property development is about more than funding. The best projects bring together capital, market insight, strong partnerships, and the ability to move when opportunities arise. And that's where Squirrel property finance comes in. Now, you may know Squirrel as one of New Zealand's largest mortgage brokers. Fewer people know that Squirrel has also become one of the country's leading non-bank construction lenders, funding quality residential developments nationwide. And what sets them apart is the ecosystem. Squirrel connects developers and investors, advisers and home buyers, giving them a well-connected view of where the capital is flowing, what buyers want, and which projects are gaining traction. And that connection across the whole property market means Squirrel can back good people on good projects and give quality developments the best chance of getting off the ground. Now, for developers looking to work with people who genuinely understand the market, search squirrel. Lending is always subject to credit criteria and approval in terms of ply.
Up to 12 framings spread across orientations. Each framing is a short phrase the topic extractor generated to characterise the piece's stance — not a quote from the source. Click through to read the original.
Social-media signal on the same topic, drawn from the social lens. Engagement is likes + 2×shares + 3×replies, the same weighting used across the digest cards. View on /social →
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