Kesshh

Kesshh t1_jeclhdn wrote

I suggest taking the door off, removing all the trims, and reframe the door. Cover the exterior, foam seal all the gaps, wrap the exterior, moisture barrier the interior, then drywall interior. Then rehung the door, with added weather stripping. Like what you would have done if you replace the door with one that is bigger or smaller. It’ll be similar steps.

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Kesshh t1_jecb3o1 wrote

We did our drain line by digging up everything and trenched down. Our run was almost 40’ (forgot) so there was quite a bit of grading we needed to do. The grade was held up by gravel, 4” drain pipe (ours have holes to drain along the way, not just the down spout), fabric wrap to prevent clogging, gravel topped, then soil back fill, then everything went back on top.

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Kesshh t1_jbkkcn4 wrote

Interesting. Population density over county geographical size seems to be an interesting axis. I wonder how that correlates with the presence/absence of large cities. Normally the density of population is significantly more dramatic with cities. I wonder if the underlying x-axis narrative can be remapped to “counties with big cities”.

Interesting find. Thank you for sharing.

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Kesshh t1_jahcx57 wrote

That’s like a completely false simplification. Employment has a large number of factors that affect the supply and demand. Proximity to the work location affects available workers. Skill/experience affects available workers. Need for income affects tolerances in pay gap. Lack of choices affects tolerances in pay gap. Just to name a few.

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Kesshh t1_ja7q6sb wrote

That’s an interesting way to present the data.

First thing popped into my head is how railways have slope limit both uphill and downhill. To traverse a slope will require way more rails to loop and/or zigzags. So rails in mountainous region will have significantly more miles to cover the same distance between two points than in a flat region. I wonder if there’s enough data to change the measure from plain miles to actual distance covered. That would make an interesting comparison.

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Kesshh t1_j9dnypf wrote

While that is true biologically, in practice, kids will not learn when they are not ready, not in the right environment, not being taught correctly, not having the right teachers. Forcing everyone into a mold never worked and never will. That is THE biggest problem in our education system and education theory.

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Kesshh t1_j9dajjk wrote

K-12 percentage? That's a useless number.

Younger kids are learning English to start. Those will mostly be 0%. Older kids, depending on the State, DoE might even have foreign language requirements. In those states, it will be 100% for that age bracket. Without segmenting with those circumstances in mind, these numbers are useless.

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Kesshh t1_j8tci4r wrote

One thing I don’t like about these stats is that it seems to want people to conclude direct cause and effect when everything (politics, policies, economics, human behaviors, etc.) are so complicated and intertwined, not to mention the effect of governmental policies is often delayed for years before it is known.

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