https://apps.axibase.com/chartlab/1e6f3425
As for obesity, Philadelphia no longer keeps the crown:
| city | state | metric | population |
|--------------|--------------|--------|------------|
| Dallas | Texas | 27.6 | 1197816 |
| Houston | Texas | 27.3 | 2099451 |
| Philadelphia | Pennsylvania | 27.2 | 1526006 |
| San Antonio | Texas | 26.1 | 1327407 |
| Chicago | Illinois | 25.4 | 2695598 |
| Phoenix | Arizona | 23.8 | 1445632 |
| Los Angeles | California | 21.1 | 3792621 |
| New York | New York | 21.1 | 8175133 |
| San Diego | California | 18.0 | 1307402 |
> SELECT t1.tags.cityname as 'city', t1.tags.statedesc as 'state', t1.value as 'metric', t2.value as 'population'
FROM 'cdc.nccd.data_value' t1
JOIN 'cdc.nccd.populationcount' t2
WHERE t1.tags.short_question_text = 'Obesity' AND t1.tags.datavaluetypeid = 'CrdPrv'
AND t2.value > 1000000
ORDER BY t1.value DESCHow much of our nations skyrocketing health care costs are directly and indirectly related to obesity? Probably a stunningly high percentage.
And even if sugar were the main factor, OP's post would still be technically correct, because the underlying problem would be overeating foods with sugar, possibly in addition to overeating other foods.
This may be an unpopular view, but there's no getting around the fact that obesity in most adults is caused by poor decision making around food and exercise.
It also isn't cost effective for me to make the time to make my own food, even ignoring the cost of the ingredients; aside from simple things that use mostly non-perishable ingredients.
However, even going out to eat, the incentive to buy in bulk /there/ exists too. Purchase of a single meal that should fill someone up for a day has a substantial discount over getting what should be a properly sized portion for a small regular meal.
For all sides, the market incentives push towards over-consumption which is why we have the outcome we do.
I recall hearing that the cost of labor was actually one of the primary factors in meal price.
http://journals.plos.org/plosone/article?id=10.1371%2Fjourna...
Abstract
Western lifestyles differ markedly from those of our hunter-gatherer ancestors, and these differences in diet and activity level are often implicated in the global obesity pandemic. However, few physiological data for hunter-gatherer populations are available to test these models of obesity. In this study, we used the doubly-labeled water method to measure total daily energy expenditure (kCal/day) in Hadza hunter-gatherers to test whether foragers expend more energy each day than their Western counterparts. As expected, physical activity level, PAL, was greater among Hadza foragers than among Westerners. Nonetheless, average daily energy expenditure of traditional Hadza foragers was no different than that of Westerners after controlling for body size. The metabolic cost of walking (kcal kg−1 m−1) and resting (kcal kg−1 s−1) were also similar among Hadza and Western groups. The similarity in metabolic rates across a broad range of cultures challenges current models of obesity suggesting that Western lifestyles lead to decreased energy expenditure. We hypothesize that human daily energy expenditure may be an evolved physiological trait largely independent of cultural differences.
Obesity is literally impossible without being in a caloric surplus over the long term.
Added sugar contributes to the problem, in that it is not very satiating so it makes it easier to overeat, but you can easily lose weight on a high sugar diet so long as a caloric deficit is maintained.
The actual physiology is well-understood. The only problem is changing habits and behaviors, which can be difficult but is certainly not even close to impossible.
There was a study I'm struggling to find at the moment, that I saw via HN, that claimed childhood obesity is more dependent on what people eat than when they eat it or how much.
A second issue is salt, which induces thirst, which induced consumption of fluids. Solving that problem with water drops the osmolarity, which decreases the satiety signals by way of diluting the interstitium. Solving the thirst problem with beer, soda, milk, etc, maintains the osmolarity of the interstitium, but does so by way of increasing the blood glucose.
Overall, it's 90% eat less, 10% exercise more. But the exercise more is also critically important for increasing norepinephrine, which improves focus, willpower, concentration, whatever the amalgam of those words are that represents the effect of norepi.
Having seen really horrible outcomes in kids, please, please, give up this idea that calories in doesn't need to equal calories out. It does. Always.
I'm leaning toward medical data and NLP now.
In any case, even though ESRI is the market leader, there's quite a bit of open source GIS software (GRSS, QGis, PostGis, etc.). Entrenched markets like that don't get "disrupted" by magic, it requires people to jump in and use the alternatives on real projects.
And while I am not experienced with them, I believe both Leaflet and OpenLayers would work well to build the interactive part of the map.
https://earthquake.usgs.gov/earthquakes/map/
Suffers from a few scaling pains.
If you're looking for a specific non-ESRI tool, post about it and I'm sure you'll get some interesting feedback.
I mean really... I think it would actually be difficult to make something as nasty as this site. It's a special skill to find the worst looking gif in existence, icons, text, colors, margins, 1% JPG images...........