Climate change and the coal strike of 1977-78: Turn down the lights

A finger pressing a switch
When you read the history of the 1977-1978 Coal Strike, the reports talk about the negotiations, the rejected agreement and who the losers were in the final contract.

However, the effect of the strike on energy consumption is glossed over.

That year, I was a student at DeKalb High School in Waterloo, Indiana. The school took steps to reduce energy usage. I remember that we reduced lighting in the classrooms and hallways. We changed policies in the cafeteria and took other steps to cut back energy usage.

None of the changes that the school took required waiting for greater availability of renewable energy sources or capital outlays by industry.

Reducing the use of lighting in public spaces will not eliminate the imperative to reduce CO2 emissions. However, it will be a step in the right direction. It can be done overnight and does not need the cooperation of any elected officials.

Turn down the lights. It’s a very visible signal that CO2 emissions need to be lowered. It can be a start and it’s available everywhere.

Windy Winter and Artificial Intelligence

A magnifying glass searching
I’ve noticed recently that it seems to be more windy here than in the past. Over the weekend, we had a strong wind storm with 60+ mph wind gusts. Yet I don’t think that the storm is proof. Just as a bitterly cold week doesn’t invalidate the process of climate change, a single wind storm doesn’t make it more windy. But I suspected changes before the weekend.

I mentioned my observation to a friend and he suggested I could use an AI tool to analyze the situation. I’m not convinced that artificial intelligence will help me get a better result.

The research in “Global trends in wind speed and wave height” by I. R. Young, S. Zieger, and A. V. Babanin indicates that it is an interesting topic. That paper in could help me identify the most useful questions. It also indicates that analyzing climate is not easy.

For my own situation, I need to find a source of historical wind speeds. Weather Underground has some data starting about 1940, but it isn’t easy to access. windfinder.com sells hourly data going back to 1999. I didn’t check the pricing of their data.

Another issue is what should I measure? Weather Underground has the maximum speed each day which is a good start, but may not answer my question. Windfinder has hourly data which is a finer granularity and might be more useful.

There would be a few more decisions I would need to make before I get an answer. When do I want to break between a historical base statistic to compare to recent data or should I look for a trend in the wind speeds? The number of data points in both groups can affect the statistical validity of my results.

Before I start looking for tools to confirm my observation, I need to make a lot of decisions. I don’t think an artificial intelligence tool will help me decide these prerequisites.

Artificial Intelligence is a trendy hammer, but not every problem is a nail.

The world is big, but it isn’t so big that we can’t hurt it

A green thought bubble
I’m binding my poetry into books. I’ve got two books so far of 300 poems. My books of the next 300 will be done soon. I’m working all day tomorrow, so it’ll have to wait until I get home. I love my velobind machine.

I had forgotten that back in 2011, when I would write a poem, I might write a one page meditation about the poem.

Reading them again is like meeting myself a second time. Some feelings are the same, some are less familiar.

One quote I found:

“The world is big, but it isn’t so big that we can’t hurt it.”

All of the shouting about climate change misses the point. We’re hurting our planet. The exact mechanism doesn’t really matter.

Animals are suffering. Plants are suffering. The oceans are suffering. The land is suffering. The air is suffering. People are suffering.

The planet is suffering and we’re to blame.