Wednesday, November 15, 2017

SearchResearch Challenge (11/15/17): What causes such crazy cone and flower production?

There is a tide in the affairs of men,
Which, taken at the flood, leads on to fortune;
Omitted, all the voyage of their life
Is bound in shallows and in miseries.
On such a full sea are we now afloat…


This is from Shakespeare's Julius Caesar, at the moment when Brutus is encouraging Caesar to act because the time is right, and there's no better time likely to come soon.  

There's an equivalent moment in the life of plants that's equally propitious... Or is it?  

I've noticed something as I wander around, looking at plants and trees:  Sometimes the pine trees that look to be in terrible shape often have the most pine cones.  



Is there a connection here?  Do dying pine trees actually produce a last gasp of cone production?  And if that's true, should I worry about those pine trees that suddenly produce a bunch of pine cones? 



I was also noticing this about the bougainvillea in my front yard.  As you can see, there are lots of flowers on it, but very few leaves.  



This is a beautiful plant, but it's not really very robust.  It SHOULD look like this (from the Carmel Mission, near Monterey, CA):  



This observation about the "tide in the affairs.." of plants leads to this week's SRS Challenge: 


1.  Does dying (or nearly dying) lead to a sudden efflorescence in plants?   
2.  If so, what causes this effect?  How does the plant "know" this, and respond? 
3.  Is this "sudden efflorescence" from a near-death experience true for any other plants?  


When I searched for this, I found that I had to learn a bit of language in order to make good queries.  

Let us know how you found the answers!  

I'll be back in a week (Wednesday, Nov 22) with my answer.  In the meantime, may you and all of your plants and trees be in good health.  


Search on! 


Tuesday, November 14, 2017

An itinerant scholar in the Age of the Internet


As you probably noticed... 

... I've been traveling a bit--hence the slightly erratic SRS posts over the past month. This will probably continue for a bit more time as I keep moving around the planet.  

  
Taveuni, Fiji


Both the springtime and the end of the year tend to be a busy time for me.  In the last 3 months of 2017, I will have visited Taveuni, Fiji; San Diego, CA; Washington DC; Pensacola, FL; Chapel Hill, NC; Knoxville, TN; College Park, MD; Cairns, QLD; Brisbane, QLD; Poughkeepsie, NY; and New York City, NY.


Pensacola, FL

This is what comes from being an itinerant scholar.  Even now, in the Age of the Internet and high bandwidth connections with live streaming 360-degree video, there's still an ineluctable value in actually being present.  



Why is that?  Couldn't I just phone (or video) it in?  

Knoxville, TN
As my friends Judy and Gary Olson wrote in 2000 paper, Distance Matters.  One of the more surprising findings from their studies is that people behave differently when they THINK you're far away.  It's a kind of unconscious bias: if I believe you're far away, then I tend to trust what you say less.  This is makes no rational sense, but it's been studied many times.  

What's more, when I visit you in your workplace (or university), we have the chance to have lots of informal, high-touch (notice I didn't say "high-bandwidth") interactions.  I've been in a lot of high quality videoconferences, but the quality of physical presence (with all of the nuances that seem to get lost over video) is powerful.  

UCSD, La Jolla, CA
What's more, when I visit you, we can have informal side discussions that are incredibly valuable.  When you're on a video call, the conversation is framed within the time of discussion--everything before and after (which turns out to be incredibly valuable) doesn't happen.  

Even though physically traveling to another venue is kind of a hassle--it's almost always worth it.  (Especially when that venue includes scuba diving, which doesn't work well over video...)  

Besides, when I travel, I pick up all kinds of ideas for SRS Challenges.  You'll be seeing a few during the next year!  

Me playing chess with statue. Georgetown, DC.
I think I'm winning.
In other news, I'm also trying to finish up my book.  I'm realizing just how much time writing a book takes.  Even if you've got over one thousand blog posts to draw from, editing some of them into a reasonable book takes a huge amount of sitting-and-typing.  

Thanks for hanging in there with me as I travel hither and yon.   It'll all be worth it! 




Still searching!  

















Reference:  Olson, Gary M., and Judith S. Olson. "Distance matters." Human-computer interaction 15.2 (2000): 139-178.

Wednesday, November 8, 2017

Answer: How many people die each year in the US?

How many and how people die,

.. it's complicated.  

More to the point, just figuring out which data sources you can trust for this kind of information is trickier than I would have thought.  



I asked you about your intuitions, and before I did any research on this, I wrote down a few of mine: 

     A. What fraction of people die from car accidents?  

     B. How many people die from other kinds of accidents?  

     C. How many people die of different medical conditions?  

     D. What are the leading causes of death?    

My guesses, before having done any research: 
A.  Car accidents:  15% of total deaths / year 
B.  Other (non-car) accidents:  5% / year 
C.  Medical conditions (not including old-age):  50%  
D.  Leading causes of death (of any or all causes), in order:              Accidents; Heart problems; Cancer


Let's see if we can answer these questions:  

1. How many people die (from all causes) each year in the United States?  

2. What are the top 5 causes of death in the United States?  (As a fraction of the whole.)  

As I mentioned, the interesting question is going to be:  Where do you get your data from, and why do you believe it's accurate?  

The obvious queries on different search platforms gives different numbers.  There's variation in the answers even within a single search platform.  Compare these results with slightly different queries on Google:   





Notice that there's a 250,000 person difference between these two numbers.  Why?  Because they come from different sources.  The first query gives a webanswer from a webpage at www.medicalnewstoday.com (which in turn gets its data from the 2014 CDC numbers), while the second query shows an answer that's from Quora.com with data from the UN data source, UNstats.un.org, and these numbers are from 2008.  

Oddly, the first article tells us that the CDC data is no longer available.  The link Medical News Today cites IS broken, but the obvious query: 

     [ CDC 2014 data deaths ] 

takes you to their "National Vital Statistics Report" which has exactly the same number: 2,626,418 in 2014. 

If you click on the Quora link in the second query [how many people die each year in the us], the writeup there takes you to the UN demographics report from October 2017, which tells us the total number of deaths for 2015. 

Looking at that page you see the entry for the US: 

From UN demographics report
READ CAREFULLY:  The Quora article says that "the most recent data available is from 2008."  But this data is from 2015 (the date is in the gray column), and the report was updated on 16 October, 2017... but notice that the number shown here is different from what's in the summary!  Here, the UN says it's 2,712,630 deaths in 2015. As opposed to the 2,473,018 deaths reported in the 2008 UN summary seen in the webanswer. Notice that we're comparing deaths in 2008 vs. deaths in 2015--of course there's a big difference.    

Think about what this means:  Of course, you'd expect the total number of deaths to change year-by-year: the overall population increases year-by-year, and the death rate changes as well... just much less than the overall growth in population.

Okay--so can we find the CDC data from 2015 to be comparable with the UN data?  

I noticed that in the CDC report we found above, the actual text in the paper was this: 
"In 2014, a total of 2,626,418 resident deaths were registered in the United States..." 
I know that these kinds of reports are often written from a template.  (That is, they probably just copied the report and plugged in the new numbers for 2015.)  So I did this query to find the report for 2015: 

     [ "In 2015, a total of * resident deaths" ] 

Notice that I changed the year to 2015 and used the * operator to match the new number for that year, and I double-quoted the whole thing to find a match for this exact phrase.  

Voila!  That takes me directly to the CDC report for 2015 where we find out that " A total of 2,712,630 resident deaths were registered in the United States in 2015."  

Let's compare these numbers from CDC and the UN: 
2014
UNC   2,626,418
CDC   2,626,418 
2015
UNC   2,712,630
CDC   2,712,630  
Notice anything odd about these numbers?  They're exactly the same!  If you go back a few years, you'll see more of this pattern. Which makes me wonder:  Where does the UN get their numbers?  From the CDC!  (After looking around, I found that nugget in a footnote, of course.)  

Which means that although we've "double sourced" this data, it's actually NOT double sourced--the UN is just taking whatever data the CDC hands them. 

You might be tempted to think that the UN is getting their data from a different US source; after all they give their data citation as coming from the "U.S. National Center for Health Statistics" in their "National Vital Statistics Report."  But when you look up the NCHS, you discover that they're a department of the CDC.  It turns out that they're the people who collect the data in the CDC!  

This is an interesting insight: the simple question How many people die each year in the United States? turn out to have a more complicated answer.  It varies by year, and as you might imagine, it varies depending on how you measure it.  

WHAT?  Isn't a death a death?  Can't you just count death certificates?  

Well, yes, but are you also counting people who disappear?  What about US citizens that die overseas?  Are they listed as a US death, or as a death in that country?  Are you counting from January to January, or just one month-long period and multiplying by 12?  Are abortions counted as deaths?  Stillbirths?  What about people in Puerto Rico, the US Virgin Islands and other territories?  (Why are the Virgin Islands broken out into a separate line item in the CDC report?)  What about military deaths in non-US locations?  

As often happens, once you start digging into a research question, you learn a lot about the area.  You learn the little details about your question that deepen your understanding of the question you're asking. This happens all the time when we do our SRS Challenges:  What starts out as a simple question turns into something larger and with more nuance than you thought at the start.  

In each of the questions I asked above, you can find the answers in the data commentary that's usually at the bottom of the data set.  (Sometimes it's scattered around in the text itself.)  But it looks like this, usually presented as footnotes: 


The notes describe the properties of the data: in this case, footnote #36 tells us that military and US civilians who die outside of the country are NOT included in the totals.  

In this case, we found out that which year you're asking about makes a big difference.  

What about that other question, causes of death in the US?  

Those same reports also break down the causes by percentages of all US deaths.  From the CDC report on health issued in 2017 (with data from 2015), we find that the top 5 causes of death in the US are: 

1. Heart disease (23.4%)
2. Cancer (22.0%)
3. Chronic Lower Respiratory Disease (CLRD) (5.7%)
4. Accidents (5.4%)
5. Strokes  (5.2%)

They illustrate this nicely with this chart (from the previous CDC reference):  

From CDC report, "Chartbook on Long-term Trends in Health"  pg. 18

As you can see, heart disease and cancer are the two largest causes of death, accounting for 45% of all deaths in 2015.  CLRD, the next most common cause, is only around one fourth as much.  

When I look back at my guesses (at the top of this post), I see my intuition was really wrong.  Accidents of all kinds are around 5.4% of the total (which means that car accidents are less than that).  

We may worry about mass murders or the latest version of flu, but the big killers each year are heart disease and cancer.  They are much more significant in terms of public health than anything else by far.  

When you look at the causes of death over time, it's a fascinating piece of data: 

Same source as above.  Notice that the Y-axis is a log scale, which means that a little big of change coming down (e.g., heart disease or stroke) is actually MUCH bigger than it might seem. That decline looks much less than it really is.  The improvement over 40 years is amazingly good.  Note also that CLRD is a new disease label that combines asthma, bronchitis, emphysema.  In 1999, the disease coding system changed to recognize those diseases as a cause of death, and separated out pneumonia and the flu into a separate category.

What is so striking is how constant many of these numbers of deaths are: Why do roughly the same number of people die each year in accidents? 

This chart also has good news / bad news: We're getting better at managing heart disease, but the overall cancer rate hasn't changed much in 40 years.  

And of course, another big factor in the causes of death is age at time of death.  People die of very different causes at different ages.  I saw a data table that suggested this, so I did the search to see if I could find a summary chart.  

     [ site:cdc.gov causes of death by age ] 

and found this chart in the CDC chart collection for causes of death, which shows how people die for very different reasons at different ages.  While cancer and heart disease are the largest causes of death, they come into play only after age 44.  Before 44, you're more likely to die of an accident.  



Search Lessons 


1. When looking at data, be SURE you understand WHEN it was collected and WHAT it's measuring.  As we saw, different sources (Alpha vs. Bing vs. Google) all draw on slightly different resources from different times.  This makes a big difference. 

2. Consider other factors that might influence your data.  In this case, death rates vary a LOT by age.  (They vary by other factors too, such as gender, race, and location--but I just focused on age in this post.)  Be sure you understand all of the aspects of the data that are important to you. 

3. When you need the "next document in the series," remember that those documents often use boilerplate language, which you can find with a fill-in-the-blank query, like  [ "In 2015, a total of * resident deaths" ].  This is an amazingly handy trick to remember.  

4.  Be sure you know where your data comes from!  I naively thought that the UN would have different data than the CDC--but noticing that their numbers are all the same drove me to check where the UN data came from... and it was... the CDC.  This data is NOT truly double-sourced!  




Search on!  


(I'll post a bit of background about why this one took so long to write up in my next post, later this week.  Let's just say travel go in the way.  And... I'll put out a new Challenge on Monday.  Stay tuned!) 



Tuesday, October 24, 2017

Yet another delay... (NOT a vacation!)

As you probably noticed... 

... I'm slow in answering the last Challenge.  This time, I'm not in Fiji (alas), but I'm flying all around the east coast of the US.  I left the Googleplex last Thursday, and will be in motion for 15 days, giving talks here and there, attending various Information School board meetings, and teaching classes on how to be a better searcher.  

You'll be happy to know that most of the material in my "better searcher" classes is almost completely drawn from SearchResearch.  So your comments and thoughts over time have worked their way deep inside the structure of my classes.  

Today, I'm here. (Can you figure out where this is?  warning, there's no EXIF metadata here...)



I'm heading to Pensacola (Florida) to give a talk about "Artificial Intelligence, Machine Learning, or Machine Intelligence?  Does it matter to the user?"  

It probably won't surprise you to learn that I don't think it matters, but the user has to understand what the system is doing, and that means giving some kind of explanation or story about what's going on. 

In a sense, this is what SearchResearch is all about:  How can we learn how to use all of the online research tools available to us?  There are many; what are they and how do they work? 

We don't need to know the fine detail about how the Google algorithm works, but we have to have a mental model for what it will do when we make particular kinds of queries.  That's a key skill.  If you don't know, you'll be surprised when a totally random query like [beelzebub dandelion tensor] gives you over 5K results. 

In any case, I'm actually writing the answer, but all of this time in airports takes a chunk out of my time--as does preparing for the talks, classes, and meetings.  

I'll get back to you, though, probably later this week.  This is a particularly interesting Challenge, so I want to get it right!   Thanks to everyone who's commented.  I appreciate all of your thoughts and SearchResearch!  

Searching on... 



 

Thursday, October 12, 2017

About those fish...

A couple of weeks ago...

I posted a few fishy pictures with the cryptic question "Have any ideas where these are, or where I am?" 






The SearchResearchers rose to the Challenge and were able to identify my location pretty well!  

Regular Reader Chris wrote in that: 

Picture 1 looks like some sort of Serranid- I'm guessing an Anthias which are widespread in the South Pacific, but it doesn't look like the endemic species for Fiji, but comparing google image searches for [anthias fiji] and [antihas vanuatu] tends to lean towards Fiji as the location 
Picture 2 is a Clown fish- once again could be anywhere in South Pacific- The yellow colour is different to what I normally see in Australia 
Picture 3 I don't recognise- maybe a clown fish again - I'm guessing this is the one that identifies the island group 
Picture 4 is a yellow tail fusilier - very common in both Vanuatu and Fiji

While Remmij and Ramón both identified the fish and the geography those fish cover.  They also figured it out as Fiji, but Remmij went on to check species co-occurence by trying to figure out what kind of anemone that particular anemone-fish was living with.  

That's a great strategy, and if I'd thought about it, I would have included a better picture of the anemone (which would have helped identify it).  

Alas, this particular anemonefish, Clark's Anemonefish (Amphiprion clarkii) happens to be pretty undiscriminating:  "Clark's anemonefish is the least host specific anemonefish, living in association with all ten species of sea anemones that host anemonefish..."  

The SearchResearchers are superb.  Excellent job. 

But here's what I would have done:  I would have saved all of the images to my desktop and noticed that they look like this: 


Truthfully, I'd forgotten that I'd left all of the filenames on the images, so that when you saved them, you'd see all of the identifying information.  

You correctly identified the Anthius in pic #1, and the Clark's anemonefish in #2.  The anemonefish in #3 is a "Fiji anemonefish" (Amphiprion barberi), although in this case the color is a bit off, so it's difficult to tell.  

The "fusiliers on parade" are, in fact, Blue and Yellow Fusiliers (Caesio teres). 

And, when you look at all of these different fish geographical range, it's pretty much narrowed down to Fiji.  

Remmij is correct--we were on the island of Taveuni, which is a very well-known dive location, home to the Somosomo Strait, and one of the world's best locations to see soft corals, which I didn't include in this set of images--I thought it would be too much of a give-away!

But here's a bit of video from our dives that gives a great sense of what it was like.  Listen carefully--you'll hear humpback whales singing in the background! 



Great job, SearchResearchers! 

Bula! 

Wednesday, October 11, 2017

SearchResearch Challenge (10/11/17): How many people die each year in the US?


I don't mean to be macabre,

..but it's nearly both Halloween and the Día de los muertos. They're coming up fast during this time of the year.  Naturally, that makes me think about those souls that have passed on before us, and being a naturally inquisitive person, I wonder about how it is that people die... in general.  Do you know off-hand?  I don't.  




Before you answer that question, give it a thought:  What's your intuition about this?  In the US, what fraction of people die from car accidents?  It is as much as 10% of all deaths in a year?  15%?  Or is it as low as 2%?  How many people die from other kinds of accidents, like falls from a high ladder or slipping on a banana peel?  Is that a significant fraction, or is it less than 1%?  

What of different medical conditions?  What fraction of people die from heart attacks vs. cancer vs. infections?  Which is a higher proportion of all deaths--medical causes or accidental causes?  I realize I don't know the answers to these questions, even though it's an important piece of data to know.   

This week we have just two questions: 


1. How many people die (from all causes) each year in the United States?  

2. What are the top 5 causes of death in the United States?  (As a fraction of the whole.)  

The real SearchResearch question here is going to be a somewhat tricky data source problem: Where do you get your data from, and why do you believe it's accurate?  

For instance, if you do this query on different search platforms, you get very different answers: 
Google: 2.47 million 
Wolfram Alpha:  2.67 million
Bing: 2.65 million (they don't answer it directly, but I did the math based on the data they show)

That's a difference of 200,000 between Alpha and Google, which is slightly more than the population of Akron, Ohio!  How's that possible? What's going on?   

(An interesting contrast: Google says that there are approximately 4M births / year in the US; Bing gives the same answer, while Alpha claims there are 4.24M births each year.  240,000 birthdays is a big variation!)  

Let us know what you find out... and just as important, HOW you figured out the answer.  What sources do you seek out?  Do you trust them?  How much do you know about the methods they used to collect the data?  

Search on!  





Tuesday, October 10, 2017

Answer: The story behind these bodies of water? (Part 2)

And now, the exciting conclusion!  

4.  There's a story about the lake below that predates its existence.  Before the lake was formed by building a dam, what was here?  And why would they build a lake on top of it?
To solve this one, you need to first do a Search-By-Image (a search method we've covered before), and you'll find that this is the Altus reservoir (aka Lake Altus-Lugert near King Mountain, Oklahoma.  A quick search for: 
     [ underwater town lake Altus ] 
tells us that under the water lies the former town of Lugert.  Founded in 1902, Lugert (named for German immigrant Frank Lugert) was destroyed by a tornado on April 27, 1912.  When the reservoir runs dry, you can can see the old foundations of the houses which used to stand in the area. 
In 1926, the nearby city of Altus passed a bond measure to build a dam across the North Fork of the Red River as a source of city water, flooding the town of Lugert. The dam was completed in 1947. Not one to quit, Frank Lugert rebuilt his buildings and moved his General Store next to the lake and ran it until a few years before his death in 1958.
There are several interesting videos documenting the town of Lugert.  Here's one (with a lot of wind noise), but it's a fascinating walkthrough of the site: 


5.  Same question as before:  What WAS here... but now you have to cast your search skills back 10,000 years.  What was in this location 10,000 years ago, and why is that interesting?   (This is at lat/long 54.83333333,  2.333333333)


This is a bit of an odd question:  What WOULD have been in the middle of the North Sea 10,000 years ago?  Luckily, more than a few people have written about this topic.  My query was: 
     [ North sea 10000 years ago ] 
This query leads quickly to a bunch of articles about Doggerland, an area now beneath the southern North Sea that connected Great Britain to continental Europe during and after the last glacial period.
It was flooded by rising sea levels around 6,500–6,200 BCE. Geological surveys have suggested that it stretched from Britain's east coast to the Netherlands, western Germany, and Denmark. Most likely, it was an area with extensive habitation in the Mesolithic period. Rising sea levels gradually reduced it to low-lying islands before its final submergence, possibly following a tsunami caused by the Storegga Slides
This area would have been a region of fairly flat lowlands, maybe with ponds, and certainly with people and wildlife.  To this day, fishing trawlers still pull up bits of human artifacts and pieces of wood from the forests that were drowned back then.  

Search Lessons 

1. Zooming around a map can find all kinds of things.  In the first Challenge, just zooming out a bit and looking around let us figure out that the strange vertically aligned ponds were all cooling ponds at Turkey Point.  Don't underestimate the value of just looking around.  As Yankee's catcher Yogi Berra famously said, "You can observe a lot by watching."  (His book.)  But remember... 


2.  Different zoom levels will show different layers of information.  If you zoom out too far, the label of the nuclear plant won't show up (but you'll see the name of the state).  If you zoom in too far, the state name information will be hidden, but you'll see the name of the local watery features (e.g., the name of the nearby bay, "Card Bay").  

3. Validate, validate, validate!  As we learned in the Nutrex spirulina pond example, there can be multiple owners (and multiple reasons) for long, narrow ponds.  In this case, we had to look carefully at the map, then search for other sources of information about what each of the nearby companies did. In this example, finding a YouTube video that was a guided tour of the Nutrex facility gave us enough visual information to confirm that what we saw actually were Nutrex bacteria-growing ponds.  

Tomorrow, I'll talk about the fish images a bit, and pose a new Challenge!  

Search on! 



Friday, October 6, 2017

Answer: The story behind these bodies of water... (Part 1)

Water sometimes hides many details. 

... and sometimes it hides a story as well.   As you remember from the SRS Challenge of 2 weeks ago: Why are each of these locations very interesting? 
1.  What's going on with all of these blue lines in the image below?  You can find this oddly arranged water/earth combination at Google Maps link.  There are several stories to discover here, but first--What is this? Why the strange water shapes? 


This one's not hard:  Just open Google Maps and zoom out a bit and switch to Satellite view:  


You'll see an obvious structure at the northeast corner of the long stripes of water.  If you zoom in a bit on that, you'll get the answer quickly.  It's the Turkey Point Nuclear Power Plant. 

Then, when you do the obvious search on Google, you'll see a few likely query completions as you enter your query.  PAY ATTENTION to these as you type--they're often great clues as to what you're searching.  In this case, we see that they're probably canals. 

If you go to the Wikipedia article, you'll see that they're "cooling canals," that is, where the hot water goes after it's been through the reactor.  This makes sense: they need some way to cool all of that hot water coming out of the heat exchangers.  The hot water wends its way through the canals to cool enough so it can be discharged into the ocean nearby.  


2.  Just below is picture of another oddly shaped and oddly colored bodies of water.  Why are these giant oval things such different colors? Maps link


I have to admit that this was a bit harder than I thought it would be. The simple and obvious SRS method is to just look this up in Google Maps.  When you do, you get this maps image: 

But it's a little hard to tell--are these long, oval ponds part of Nutrex or Cellana?  
I thought I'd check by searching for information about each company (the both produce algae as food and health supplements)--but most of the web content about both companies is marketing information.  That's fine, but how do I tell which ponds belong to which company?  
Zooming in helps.  If you zoom in on the Cellana facility, you'll see this: 

Notice that fence that surrounds the Cellana site?  (It's that dark line that goes all the way around.)  They have a nice 5-sided fence that encloses a bunch of nice light-brown production ponds.  
Interestingly, the home page for Cellana has a great photo of their production ponds. 
P/C Cellana home page

If you go to Google Maps and use the 3D controls, you can almost exactly match the point-of-view for this photo. 
P/C Google Maps. 
But that's not where the arrow is located: it's a bit farther south. 
By contrast, if you zoom in on the Nutrex facility, you'll see that the gate is clearly the entrance to this entire (and much larger) facility.  

Still, is it possible that Nutrex does something else?  I wanted a bit more confirmation that Nutrex (the company) actually operated the big oval ponds.  
After a number of attempts to find images of the Nutrex production facilities, I FINALLY thought about searching for a video that visited the facility.  My query was: 
     [ Nutrex production facility ] 
and I found a lovely video on Youtube with an interview at the Nutrex facility. In this video, a health columnist visits the place where spirulina (a particular kind of dietary supplement) is grown by Nutrex.  The video has two great frames.  Here's one frame showing an overview of the location: 

  And there's also this view of the large, white stirring paddles used at the end of each pond to keep the contents in motion. 

If you look carefully at the previous image, you'll actually see the large white paddles extending across the ponds.  This lines up with the previous image labeled as Nutrex by Google Maps.  
I'd say these ponds are owned and operated by Nutrex.  
Why the different colors?  It all depends on what's growing in each of the oval ponds.  Nutrex has two major products: Spirulina and astaxanthin.  Spirulina is a cyanobacteria that's rich green, and since it's their majority product, it takes up most of the space in the ponds (see all that green?).  Astaxanthin is a  keto-carotenoid that acts as an antioxidant, and comes from microalgae. It's dark red in color, hence the shades of red.  As the company website points out, some of the ponds at Nutrex with astaxanthin are a deep red.  

3. While we're in the odd-shapes-and-colors mode, what's going on here?  Why is the water so... red in some places and green in others?  What causes the color changes?  (Like the radio tower Challenge from last week, this is something I see nearly every time I fly into San Francisco.  Big hint: This body of water is never the same color twice...)   

From the text of the Challenge, it's clear that this is an area on the flight path into SFO. I know where the flight path is, but if you don't, a quick Google Image query will show you dozens of flight paths into the airport: 
      [ flight path landing SFO
Another Google Maps view of SFO shows a clearly very red/green path in the southeast corner of San Francisco Bay. 
I added an arrow to show the typical landing approach into SFO.
A simple query gives a bunch of good results: 
     [ red ponds San Francisco bay ] 

All of these tell us the same thing:  The large red and green-colored ponds in the Bay are salt ponds operated by the Cargill Company. 
The red and green ponds are caused by the organisms or algae living within them, not unlike the Hawaiian ponds. The microorganisms in each pond are determined by their tolerance to salinity, and the colors are reactions to the salinity level. Sea water is let into the ponds, and then they dehydrate over time, leaving sea salt, most of which is then used for chemical purposes (and not human consumption). 
The evaporation ponds vary from bright green (where low salinity encourages green algae, not unlike spirulina), to a deep coral pink or red hue that is caused by the algae Dunaliella at high salinity levels. A large number of brine shrimp give an orange color to mid-salinity ponds. 
Since 1854, salt has been one of San Francisco Bay's largest industries, with over 80% of its wetlands developed for salt mining. At one point, salt ponds covered over 16,500 acres, most of which was owned by Cargill, Inc. 
So now you know.  When you land at San Francisco and you see bright colors on the salt flats below, you're actually seeing billions upon billions of tiny animals... 


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We're not done with this Challenge:  there are two more to go, but I want to get something out before this week ends, so I'm going to post this as Part 1, with a promise to give you the answer (and the Search Lessons) on Monday of next week as Part 2.  
(Why so busy, Dan?  Answer:  I flew back from the South Pacific on Saturday, then went immediately to teach a week-long class on Pragmatics of Ethnography at UC San Diego.  While it's a huge amount of fun to do, it also takes a lot of time.  Today (Friday, October 6) is the day when all of the research teams report their results... so it's a busy kind of day for me.  I'll be back at work on Monday, which means I'll have more time to write.)  
Until then, bula!  (And kudos to everyone who searched out what bula means...)  

Search on!