UHND.com - Notre Dame Football, Basketball, & Recruiting

(no message)

(no message)

(no message)

Link: https://www.nytimes.com/2025/07/09/well/us-measles-record-outbreaks.html

(no message)

(no message)

(no message)

(no message)

(no message)

(no message)

contrary to the author's assertion. Meteorologist Chris Martz already has the receipts for this in the form of NOAA's own historical data showing none of this is true.

Climate change is driving an increase in flood events across the U.S., both coastal and inland, due to rising sea levels and heavier rainfall. More than a third of inland flood damage since 1988 is attributed to human-caused climate change.
Coastal Flooding:
Rising sea levels:
As sea levels rise, coastal areas are experiencing more frequent and severe flooding from high tides and storm surges.
Increased frequency:
Many locations along the U.S. coastline have seen a significant increase in flooding events since the 1950s, with some areas experiencing a fivefold increase in flood frequency.
High-risk areas:
Florida, New York, and New Jersey have the highest numbers of people and properties at risk of coastal flooding.
Future projections:
Projections indicate that sea levels will continue to rise, leading to more frequent and intense coastal flooding in the coming decades, with some areas experiencing a dramatic increase in flood events.
Inland Flooding:
Heavier rainfall:
.
Climate change is leading to more intense and frequent heavy downpours, which contribute to flash flooding and riverine flooding.
Increased flood damage:
.
Studies show that a substantial portion of inland flood damage in the U.S. is attributable to climate change-related increases in precipitation.
Regional variations:
.
While some areas are experiencing increased flooding, others, particularly in the West, southern Appalachia, and northern Michigan, are seeing a decrease in flood magnitude and frequency.
Increased risk of landslides:
.
Heavy downpours can also lead to landslides, which can displace families, damage infrastructure, and pose safety hazards.
General Trends:
Billion-dollar disasters:
.
The number of billion-dollar weather and climate disasters in the U.S. has increased over the past few decades, with flooding being a major contributor according to NOAA.
Vulnerable populations:
.
People of color and those living in mobile homes are disproportionately exposed to flooding, especially in rural areas and the southern U.S.
Health impacts:
.
Flooding can have severe physical, mental, and emotional health impacts on individuals, particularly children.


Link: https://www.npr.org/2025/07/07/nx-s1-5459755/texas-floods-climate-change

before, Mark.

Link: https://factcheck.afp.com/doc.afp.com.34QL9NW

where flash floods used to roll through without being newsworthy because there were no people were in the path.


Also consider how meaningless their CC agenda actions are at affecting earth temperature anyways.

Logic has never been their strong suit. This is why they are vulnerable to stupid things like money redistribution schemes and general population public homemade mask wearing for COVID.

Plus: earthquakes, tsunamis, volcanos, cosmic impacts.and Fauci-made viruses are far greater threats to life on earth.

burning FFs...and steps are being taken to limit the damage. Once we have GEN-IV Nuclear Power Plants coming on line, we'll have the non-FF infrastructure to support our Heat and Power needs...thankfully, even the Trump DOE is committed to fast tracking those programs.

Martz brings nothing but in-context data, contrary to what your "fact" checker said. And Curry and Lindzen both say the Earth is not nearly as sensitive to CO2 as the current consensus alleges.

'American Physical Society'...read their statement on Climate Change. This is a group representing many of the nation's finest physicists, including Nobel Prize Winners. I'll take their words over your debunked choices.

Link: https://www.aps.org/about/governance/statements/changing-climate

(no message)

(no message)

(no message)

Link: https://www.nytimes.com/2025/07/09/opinion/texas-floods-nws.html

(no message)

| Year | Fossil + Industry (GtCO₂) | Change (%) |
| ---- | ------------------------- | ---------- |
| 1960 | ~9.1 | — |
| 1970 | ~14.3 | — |
| 1980 | ~18.4 | — |
| 1990 | ~21.3 | — |
| 2000 | ~23.7 | — |
| 2010 | ~31.1 | — |
| 2015 | ~32.8 | — |
| 2016 | ~32.8 | — |
| 2017 | ~33.3 | — |
| 2018 | ~34.1 | — |
| 2019 | ~36.7 | — |
| 2020 | ~35.9 | −4.97% |
| 2021 | ~38.1 | +5.95% |
| 2022 | ~38.5 | +1.15% |
| 2023 | ~37.4 | +1.1% |
| 2024 | ~37.8 | +0.8% |

shift away from CO2 producing FFs for Heat and Power.

(no message)

(no message)

Link: https://science.nasa.gov/earth/climate-change/steamy-relationships-how-atmospheric-water-vapor-amplifies-earths-greenhouse-effect/

(no message)

Log in

Sign up for free
You said:
Can you list deaths by flood by decade?
ChatGPT said:
Sure! Here's a general historical overview of global deaths by floods by decade, based on recorded major flood disasters. Keep in mind:

Historical data becomes less complete and less accurate the further back you go.

Numbers can vary depending on sources and criteria (e.g., whether deaths from related disease, famine, or displacement are included).

This list focuses on notable flood-related fatalities from natural floods (rivers, monsoons, dam failures, tsunamis, etc.), not urban flash flooding only.

Flood Deaths by Decade (Estimates & Notable Events)
1900s
~100,000+ deaths

Major events:

1900 Galveston hurricane storm surge (~8,000–12,000 deaths).

1908 China flood (Huai River): ~100,000 deaths (est.).

1910s
~150,000+ deaths

1911 Yangtze River flood (China): ~100,000 deaths.

1916 China flood: ~100,000 (may overlap with other event data).

1920s
~200,000+ deaths

1925 China flood: ~200,000 deaths.

1930s
~3.7–4 million deaths

1931 China floods (Yangtze, Huai, Yellow Rivers): 2–4 million deaths — deadliest flood disaster in history.

1935 Yangtze flood: ~145,000 deaths.

1938 Yellow River flood (intentional dike destruction): ~500,000–800,000 deaths.

1940s
~200,000+ deaths

1942 China flood: ~200,000 deaths.

Data obscured by World War II impacts.

1950s
~300,000+ deaths

1954 Yangtze flood: ~33,000–40,000 deaths.

1959 Typhoon Vera (Japan): flooding + storm surge killed ~5,000.

1960s
~100,000+ deaths

1965 India flood (Dhanbad): ~200+ deaths.

1963 Vajont Dam disaster (Italy): ~2,000 deaths (technological failure-induced flood).

1966 Florence flood (Italy), less fatal but historically notable.

1970s
~500,000+ deaths

1974 Bangladesh flood (and cyclone): ~28,000 deaths.

1975 Banqiao Dam failure (China): ~85,000–230,000 deaths.

1980s
~100,000+ deaths

1988 Bangladesh flood: ~2,000 deaths, 25 million displaced.

1990s
~100,000+ deaths

1991 China flooding: ~3,000+ deaths.

1998 China Yangtze flood: ~3,700 deaths.

Bangladesh floods, Sudan, and Central America also had high casualties.

2000s
~250,000+ deaths

2004 Indian Ocean tsunami (technically seismic, but major flood impact): ~230,000–280,000 deaths across 14 countries.

2008 Indian monsoon floods: ~1,000+ deaths.

2010s
~100,000+ deaths

2010 Pakistan floods: ~2,000 deaths, 20 million affected.

2014 Southeast Europe floods, 2015 Myanmar floods.

Floods increasingly associated with climate change and urbanization.

2020s (so far, up to mid-2025)
~20,000–30,000+ deaths (ongoing data)

2020 Kerala, India: heavy floods.

2021 Germany/Belgium floods: ~230+ deaths.

2022 Pakistan floods: ~1,700+ deaths.

2023 Libya (Derna dam collapse): ~11,000–20,000 deaths.

2024–2025 events are still being tallied.

Summary Table
Decade Estimated Deaths (approx.)
1900s 100,000+
1910s 150,000+
1920s 200,000+
1930s 3.7–4 million
1940s 200,000+
1950s 300,000+
1960s 100,000+
1970s 500,000+
1980s 100,000+
1990s 100,000+
2000s 250,000+
2010s 100,000+
2020s 20,000–30,000+ (so far)

| **Decade** | **CO₂ Emissions (GtCO₂ / decade)** | **Notes** |
| ------------------ | ---------------------------------- | -------------------------------------------- |
| **1850s** | ~2 Gt | Early industrial emissions (mainly UK, U.S.) |
| **1860s** | ~3 Gt | Steam engine era expands |
| **1870s** | ~4 Gt | Rail, steel, coal growth |
| **1880s** | ~5 Gt | Emissions rising gradually |
| **1890s** | ~6 Gt | Fossil fuel use accelerates |
| **1900s** | ~8 Gt | Early electricity, urbanization |
| **1910s** | ~9 Gt | WWI, coal use continues |
| **1920s** | ~11 Gt | Post-war recovery, industry grows |
| **1930s** | ~10 Gt | Slight dip during Great Depression |
| **1940s** | ~13 Gt | WWII surge in fossil fuel use |
| **1950s** | ~20 Gt | Post-war boom; cars, oil use surge |
| **1960s** | ~30 Gt | Rapid global industrial growth |
| **1970s** | ~50 Gt | Oil economy, cars, expansion of industry |
| **1980s** | ~60 Gt | Globalization, coal and oil still dominant |
| **1990s** | ~70 Gt | Developing world emissions rise |
| **2000s** | ~90 Gt | China’s rapid industrialization |
| **2010s** | ~100–110 Gt | Highest decade to date |
| **2020s (so far)** | ~40–50 Gt (2020–2024 est.) | Pandemic dip in 2020, rebound since |

(no message)

(no message)

(no message)

(no message)

(no message)