Analyzing content into truth blocks...
I've spent the last decade researching climate science, and I need to share what the data actually shows. The evidence for human-caused climate change is overwhelming and comes from multiple independent sources.
**Temperature Records**: NASA, NOAA, and other agencies have documented a clear warming trend. The last decade was the warmest on record, with 2023 being the hottest year ever recorded. This isn't just a few hot days - it's a consistent, long-term pattern.
**CO2 Levels**: Atmospheric CO2 has increased from 280 parts per million in pre-industrial times to over 420 ppm today. This is a 50% increase, and we know from basic physics that CO2 traps heat in the atmosphere.
**Scientific Consensus**: 97% of climate scientists agree that human activities are the primary driver of recent climate change. This isn't a political statement - it's based on peer-reviewed research published in scientific journals.
**Extreme Weather**: We're seeing more frequent and intense heat waves, hurricanes, and other extreme weather events. The science shows these are linked to climate change.
**Ocean Acidification**: The oceans are becoming more acidic as they absorb CO2, threatening marine ecosystems.
The data is clear: climate change is real, it's caused by human activities, and it's already affecting our planet. We need to take action now to reduce emissions and adapt to the changes that are already happening.
Sources: NASA Climate Change, NOAA Climate.gov, IPCC reports, peer-reviewed scientific literature.
AI evaluation using unified criteria
AI evaluation using unified criteria
AI evaluation using unified criteria
AI evaluation using unified criteria
AI evaluation using unified criteria
AI evaluation using unified criteria
Truth blocks are minimal argument units that represent atomic reasoning. Each block is analyzed independently for:
The weighted score combines truth score with reasoning quality and fallacy penalties according to our scoring criteria.