We're completing the picture that our real-time sampling of dividend cuts during the second quarter of 2018 has been painting. Through Wednesday, 27 June 2018, with 2018-Q2 all but over, this remarkably simple measure of the near-real time health of the private sector of the U.S. economy is signaling that while some recessionary conditions are present, overall, things have been pretty good for publicly-traded U.S. businesses.

How good? Our first chart compares the nearly completed 2018-Q2 against the preceding quarter of 2018-Q1, where we find a similar number of firms cutting dividends in both quarters in our sampling:

2018-Q2 however saw fewer dividend cuts reported via our primary sources for real-time dividend cut announcements than did the year-ago period fo 2017-Q2, which suggests that business conditions have improved year over year.

Since our last snapshot of cumulative dividend cuts during 2018-Q2, there have been just nine additions to our list of firms announcing reductions in their dividends. Here's the short list:

• Permian Basin Royalty Trust (NYSE: PBT)
• Pacific Coast Oil Trust (NYSE: ROYT)
• Arlingon Asset Investment (NYSE: AI)
• Mesa Royalty Trust (NYSE: MTR)
• Anworth Mortgage Asset (NYSE: ANH)
• PermRock Royalty Trust (NYSE: PRT)
• LaSalle Hotel Properties (NYSE: LHO)
• Capstead Mortgage (NYSE: CMO)
• San Juan Basin Royalty Trust (NYSE: SJT)

This short list, which spans the calendar month of June 2018, is itself is a very positive indication since it captured fewer than 10 dividend cuts announced during the month, which the threshold we use to identify when recessionary conditions are present in the U.S. economy.

Looking over these firms, we find that they're predominantly made up of oil and gas trusts that distribute dividends as a percentage of their earnings that fluctuate on a monthly basis and of real estate investment trusts (REITs) or financial firms whose earnings are sensitive to changes in interest rates, which have been negatively affected by the Fed's recent series of rate hikes.

Data Sources

Our near-real time sampling of dividend cut announcements is obtained from the following two sources. While we seek to capture 100% of such announcements, they represent a fraction of the total announcements for the U.S. stock market, which we report on in our Dividends by the Numbers series!

Seeking Alpha Market Currents. Filtered for Dividends. [Online Database]. Accessed 27 June 2018.

Wall Street Journal. Dividend Declarations. [Online Database]. Accessed 27 June 2018.

In February 2018, the ratio of the trailing twelve month averages of median new home sale prices in the United States to median household income reached an all time high value of 5.45, which is to say that the typical new home sold in the U.S. cost nearly 5 and a half times the annual income earned by a typical American household.

Since then, preliminary sales data indicates that the prices being paid for new homes have slightly declined in recent months, while median household income has inched upward, where as of May 2018, the median new home costs 5.41 times the median U.S. household income.

Looking at the data a little differently, we find that the growth of new home sale prices is indeed decelerating as incomes continue to grow.

That's a small comfort however when we zoom out to look at the data over the entire history for which it is available, where new homes today are selling for somewhere between $90,000 to $100,000 more than what they would cost if homes were as affordable as they were in the years from 1987 to 1999. Or for that matter, from 1967 to 1986....

As for how U.S. housing prices got so far out of whack compared to what had been very long term, stable trends, it took a combination of fuel, oxidizer and a spark.

References

U.S. Census Bureau. Median and Average Sales Prices of New Homes Sold in the United States. [Excel Spreadsheet]. Accessed 27 June 2018.

Sentier Research. Household Income Trends: May 2018. [PDF Document]. Accessed 27 June 2018. [Note: We've converted all data to be in terms of current (nominal) U.S. dollars.]

According to the Small Arms Survey, Americans own 46% of all the firearms that are in civilian hands in the world today.

The Small Arms Survey says 393 million of the civilian-held firearms, 46 percent, are in the United States, which is “more than those held by civilians in the other top 25 countries combined.”

“The key to the United States, of course, is its unique gun culture,” the report’s author, Aaron Karp, said at a news conference. “American civilians buy an average of 14 million new firearms every year, and that means the United States is an overwhelming presence on civilian markets.”

The report said the numbers include legal and illegal firearms in civilian hands, ranging from improvised craft weapons to factory-made handguns, rifles, shotguns and, in some countries, even machine guns.

We were curious about the trend for firearm ownership in the U.S., so we tracked down estimates of the total number of firearms in the nation going back to 1994. The estimates are sporadic, where surveys aren't done every year, but the following chart reveals what we found.

Since 2005, the estimated number of civilian firearms in the United States has increased at a steady pace of nearly 10.3 million units per year, or by an average of 2,600 per 100,000 of the non-institutionalized population. These figure would represent the net change in the number of firearms in the U.S., where with Americans buying an average of 14 million per year, suggests that Americans are retiring some 3.7 million firearms per year.

In the next chart, we've calculated the number of firearms for every 100,000 noninstitutionalized Americans.

Here, we discover that 2009 saw the number of firearms in the United States exceed the number of non-institutionalized Americans for the first time, where by 2017, there are 122,674 firearms for every 100,000 Americans.

We next wondered if there would be any correlation between the number of firearms per 100,000 non-institutionalized Americans and the number of firearm-related homicides and suicides in the United States. In the next chart, we've extracted homicide firearm death rate data from the U.S. Centers for Disease Control WISQARS database to pair with the available historic firearm estimates data.

We were surprised to see no apparent correlation between the rates of firearm-related homicides and the number of firearms, where the number of firearm homicides in the United States would appear to be independent of the number of firearms in civilian hands. The next chart presents what we found when we repeated the analysis with the firearm suicide death rate.

Once again, we see no apparent correlation between the rates of firearm-related suicides and the number of firearms in the U.S., where the number of firearm suicides in the United States would appear to be independent of the number of firearms in civilian hands. We do however note that the rate of firearm-related suicides is about 1.5 times higher than the rate of firearm-related homicide fatalities, which is in keeping with the overall higher incidence of suicides with respect to homicides for all methods.

Note: In the last two charts, we paired the reported firearm homicide and suicide rates for 2016 with the 2017 estimate of firearms per 100,000, since the 2017 homicide and suicide rate data is not yet available at this writing. We anticipate that data for 2017's firearm-related homicides and suicides will become available in September 2018.

References

Karp, Aaron. Estimating Global Civilian-Held Firearms Numbers, Annexe. Small Arms Survey. [PDF Document]. 14 June 2018.

Ingraham, Christopher. There are now more guns than people in the United States. Washington Post. [Online Article]. 5 October 2015.

Krouse, William J. Gun Control Legislation. Congressional Research Service 7-5700. [PDF Document]. 14 November 2012. p. 8.

Small Arms Survey, 2007. Small Arms Survey. [PDF Document]. 2007.

U.S. Census Bureau. Monthly Population Estimates for the Unites States: April 1, 2010 to December 1, 2018. 2017 Population Estimates. [Online Database]. Accessed 25 June 2018.

U.S. Census Bureau. National Intercensal Tables: 2000-2010. Intercensal Estimates of the Resident Population by Sex and Age for the United States: April 1, 2000 to July 1, 2010. [Excel Spreadsheet]. Accessed 25 June 2018.

U.S. Census Bureau. Statistical Abstract of the United States, 2000. Population: 1960 to 1999. [PDF Document]. 2001.

U.S. Centers for Disease Control. Web-based Injury Statistics Query and Reporting System Fatal Injury Reports, 1981 to 2016. [WISQARS Database]. Accessed 25 June 2018.

The growth of median new home sale prices in the United States has decelerated somewhat in the first months of 2018, repeating a pattern that we last back in early 2017.

Overall, the most recent trend for the trailing twelve month average of median new home sale prices, which has been in place since September 2015, is continuing to grow at an average rate of $987 per month. Forecasts indicate that U.S. house prices will continue to grow at twice the combined rate of household income and inflation, which is attributable to continuing shortage conditions in the U.S. housing market.

The recent deceleration in the growth of median new home sale prices is a bit easier to see in the raw sale price data for new homes, where they have generally been on a downtrend since December 2017. The following chart shows both average and median new home sale prices for each month from January 2018 through the preliminary data for May 2018.

The U.S. Census Bureau revises each month's data three times after first reporting it, so the data for May 2018 won't be finalized until September 2018. The initial data will most likely be revised upward, owing to the later reporting of more expensive new homes.

Finally, for the sake of completeness, here is all the raw new home sale price data going back to January 1963, which we're showing on a logarithmic scale.

In this chart, we've indicated the periods that it has taken for median new home sale prices to sustainably double in value over time, where "sustainably" means having doubled in value without subsequently falling back below that higher price level.

Data Source

U.S. Census Bureau. Median and Average Sales Prices of New Homes Sold in the United States. [Excel Spreadsheet]. Accessed 25 June 2018.

For all the news headlines about trade wars and tit-for-tat retaliatory tariffs, none of that trade-related news seems to be doing much to move the needle of the stock market.

We're not the only market observers to recognize that with little exception, the stream of trade-related news headlines isn't contributing much more than noise to the daily action of stock prices. Here's one such take:

Do you really think the treat of a trade war is causing U.S. stocks to stumble? That's what the headline writers would have you believe, but I'm not buying it.

It strikes me as though mounting trade tensions have become commentators' latest whipping boy, conveniently available as the after-the-fact explanation for whatever the market is already doing.

When the U.S. market tumbes, as it did Monday and again on Tuesday, when the Dow Jones Industrial Average fell by almost 300 points, increasing trade war worries are blamed. If the market had risen instead, any reports of easing trade tensions will undoubtedly receive credit.

And here's another similar take:

The escalating rounds of tariffs between the United States and China is an interesting point of economic debate. However, from the perspective of the interest rate markets, it appears to be one of those subjects that generates a great deal of economist commentary, but with limited market impact. This view is arguably complacent; whether it is too complacent is left for the reader to judge.

And there's more here. But let's go back to that first view that we quoted - would stock prices be behaving the way they are in the absence of such dueling trade headlines?

We may be able to answer that question. Last week, we observed that investors seemed to be fixing their forward-looking sights on the distant future quarter of 2019-Q1 in setting today's stock prices. Well, there's a particular trajectory on our S&P 500 spaghetti forecasting chart that's specifically projects the likely trajectory that the S&P 500 would follow within a relatively narrow range of error for that particular scenario, which we've projected prior to any news headlines being published for what would be the week ahead.

In the following animated chart, we've taken our chart from last week and are alternating it with the updated version from this week. Please click through to our site to see the animated version if you're reading this article on a site that republishes our RSS news feed.

What you see here is that if investors are indeed focusing on the distant future quarter of 2019-Q1 and the current expectations associated with it, the S&P 500 is behaving in accordance with that outlook, with U.S. stock prices falling within the typical range of noise that we would expect in that situation. As we noted two weeks ago, investors coming to focus upon 2019-Q1 would be associated with a downward movement in the S&P 500.

So without any advance knowledge of what the third week of June 2018's potentially market-moving news headlines might be, much less any trade war-related headlines, our dividend futures-based model of how stock prices work managed to account for the movement of the S&P 500 during the week. Before the week began.

Speaking of which, here are the headlines that we flagged as noteworthy during Week 3 of June 2018.

Monday, 18 June 2018

• Oil rises ahead of OPEC, China tariffs loom over U.S. prices
• Fed's Bostic: Economy in 'pretty good place' to let rate rises continue
• Fed's Bostic says sticking to call for one more rate increase this year
• Wall Street ends modestly lower but energy shares rise

Tuesday, 19 June 2018

• Trade Wars:
  • Trump threatens to hit China with new tariffs on $200 billion in goods
  • China's tariffs on U.S. oil would disrupt $1 billion monthly business
• Oil slips on U.S.-China trade dispute, OPEC supply outlook


• Trade fears rattle Wall Street, Dow gives up 2018 gains

Wednesday, 20 June 2018

• U.S. crude jumps on stock draw; Brent slips ahead of OPEC meet
• U.S. home sales stumble as prices hit record high
• Fed's Powell says jobs market not too tight, repeats case for gradual rate hikes
• Nasdaq climbs to record; Dow capped by trade concerns

Thursday, 21 June 2018

• Oil falls as OPEC struggles for deal to raise output
• Supreme Court lets states force online retailers to collect sales tax
• Dow drops eighth straight session on trade worry; Amazon slips

Friday, 22 June 2018

• Oil jumps as OPEC agrees to modest output hikes
• Dow snaps losing streak on energy lift

Need a bigger picture of the third week of June 2018's economics and markets news, but don't want to slog through a lot of noise? Check out Barry Ritholtz' summary of the week's positives and negatives!

When we're not solving economic or finance puzzles, we often turn our attention toward fighting crime. Recently, we have been following the case of the mysterious death of an unknown woman in November 1970, through the BBC's fantastic podcast series Death in Ice Valley.

Known as the "Isdalen Woman", or the "Ice Valley Woman", after the isolated location where her body was found by two schoolgirls outside Bergen, Norway, the woman's true identity has never been identified. That's mainly due to her use of multiple identities, including passports, that she utilized as she traveled throughout Norway and western Europe in the year preceding her death from unusual causes, which are part of an extraordinary set of clues that she left behind before she died.

Even the nature of her death is something of a mystery, where there is evidence to support that she either committed suicide in a very unusual fashion or, perhaps more likely, was murdered. As for how she lived, it is quite possible that she was involved in an espionage or crime ring, where her activities and travels within Norway became a focus for Norway's secret police.

One of the clues she left behind was a page of coded notes, which was found in a suitcase that she had stored at a railway station in Bergen just days before her body was found. Here's a photo of the page in question:

One of Norway's cryptographers was able to decipher a portion of the page, where he was able to identify a pattern that the Isdalen Woman used to record dates and some of the locations to which she traveled within Norway in 1970. Since we have a little bit of experience in working with old codes, we thought it might make for an interesting challenge to see if we could translate more of what would seem to be an informally-encrypted coded travel itinerary.

We've divided the page into zones, following the apparent chronological order. We assume all dates fall within 1970:

	10 March - Day of departure from her point of origin 11 March to 16 March - Luxembourg (or a low probability of London, England) 17 March to 19 March - Ghent, Belgium 20 March to 23 March - Oslo, Norway 24 March to 31 March - Bergen, Norway We believe "H" denotes Hamburg, Germany, with an alternate possibility of Hanover, Germany. 3 April - Rotterdam, Netherlands.

We think the Isdalen Woman is primarily traveling relatively short distances by either rail or by ferry rather than flying, given the high expense for that mode of travel in that era. So rather than flying from Ghent to Oslo, as might be done today, we think she's traveling by train to Hirtshals, Denmark, then taking a ferry across to Larvik, Norway before concluding her travel in Oslo (in fact, we had originally though the L and G in the first two destinations might stand for Larvik and Grimstad in Norway based on the path that she appears to have taken out of Norway, but have since refined our thinking). We also think her travel outside of Norway is primarily focused where she can either speak the language or can get by with the languages that she does speak relatively easily, where evidence suggests that she spoke German, French, Dutch, and to a much more limited extent, English.

23 April to 29 April - Frankfurt, Germany. 30 April to 14 May - Rotterdam, Netherlands. Alternatively, Regensburg, Germany, which would more directly fit on the way between Frankfurt and Vienna. 15 May to 21 May - Vienna, Austria. 22 May to 31 May - Wels, Austria, which lies between Vienna and Nuremberg. 4 June to 7 June - Nuremberg, Germany. 8 June - Travel from Nuremberg, Germany to Rotterdam, Netherlands.

The notes here are interesting in that she changes her pattern for recording dates. Instead of the typical European convention of Day Month, she changes to Month Day. Perhaps more interesting, we think its possible that she's evolving the code so that it would make sense in the context of her travels, where she may be reusing "R" to represent both Rotterdam, as in the previous section, and possibly Regensburg, which would make sense if she's traveling by ground between Frankfurt and Vienna, before going back to use "R" to indicate Rotterdam at the end of this section.

As a side note, we came up with Nuremberg as a destination in her itinerary before the podcast episodes revealed the modern forensic evidence that indicates that she may very well have lived her earliest years in that portion of Germany. As for her travel in this period, given the Cold War that was going on between western Europe and the Soviet Union, where traveling between a NATO country and a Warsaw Pact country would almost certainly have raised red flags, we don't believe that she would have risked traveling to an eastern bloc "W" destination like Warsaw, Poland, which is why we looked more to Wels, Austria as the likely destination.

What we think is her travel to Vienna, Austria however does suggest a possible link to espionage. Since Austria was neither a member of NATO nor of the Warsaw Pact, Vienna became something of a hub for international espionage during the Cold War. Coincidentally, the city of Rotterdam, Netherlands served a similar function during the first World War, and did so to a lesser extent during the interwar period until the Germans overran the country during the second world war.

	8 June to 21 June - Rotterdam, Netherlands. 22 June to 3 July - Paris, France. 4 July Travel from Paris to Luxembourg. 4 July to 16 July - Luxembourg. 16 July Travel from Luxembourg to Amsterdam, Netherlands. 16-17 July - Amsterdam, Netherlands. 18 July - Rotterdam, Netherlands.

We wouldn't describe these notes as encoded so much as being a kind of personal shorthand. As a case in point, check out the Isdalen Woman's attempt to write a stylized "J" to differentiate July from June in her notes, where we're pretty sure that she decided it doesn't work. Almost immediately in its place, we think she chooses to substitute a double-J, or "JJ", to indicate July.

Considering her travel again, in a lot of ways, it wouldn't be a stretch to substitute London, England for Luxembourg in this portion of her itinerary. It's certainly accessible to the Netherlands via ferry through Harwich, England, but we're erring in favor of Luxembourg again.

There's a large time gap before the next section of her coded itinerary.

	22 October to 28 October - Paris, France. 29 October - travel from Paris to Stavanger. 29 October - Stavanger, Norway. 30 October - 5 November - Bergen, Norway. 6, 7, 8 November - Trondheim, Norway. 8 November - travel from Trondheim to Oslo to Stavanger. 9 November - 18 November - Stavanger, Norway. 18 November - Bergen, Norway.

We think that her travel from Paris to Stavanger may be one of the few occasions where she may have traveled by air, which would be an exception to her apparently preferred method of traveling by rail or ferry.

The next section is perhaps the most mysterious entry, where we've had to apply more than a little bit of speculation....

	Repeat of "10M" (10 March), which marked beginning of coded travel itinerary. 23 November - Travel from Mollendal, Norway to Landas, Norway. Continued travel to Mannsverk, Norway.

If you look at the position of this note with respect to the main body of her coded itinerary, its position off to the side suggests that this last travel is literally a side trip.

Here, we've assumed that she is traveling locally through small towns that are near Bergen, Norway, adjacent to the region where her body found in Isdalen Valley. We also think that she's re-using her double-letter trick, although this time, to differentiate a location rather than a date.

The most curious thing though is the repetition of "10M", which had previously indicated the beginning of her coded travel itinerary, where repeating it here in connection with what would seem to be her final trip suggests that she may have known she was nearing the end, where she's purposefully connecting the end back to the beginning.

Her body was discovered on 29 November 1970. Nearly 48 years later, nobody knows who she was or why she was crisscrossing Norway while traveling under so many assumed identities.

There's a lot more to the mystery of the Isdalen Woman. If you're interested in finding out more, the BBC produced the following video to go with the first episode of the podcast series:

The series also has a Facebook group devoted to it. A 2017 article about the case also provides a good overview and photographs of the evidence that was collected in the original investigation.

If you haven't heard the series, perhaps the biggest twist comes in Episode 8, where the results of modern forensic analysis opens up a very new avenue for investigators to pursue in tracking her identity. The series consists of 10 episodes, which are available here. So if you were looking for a good mystery with a lot of twists and turns this summer, this true life case may fit the bill!

One of the neater things that comes from researching the historic prices of everyday goods is the insights that you can extract from the data, where sometimes, you discover that you can divide a nation's economic history into distinct eras.

Here's an example of what we mean. We started off with the idea that it might be interesting to look at the history of the price of Campbell's Condensed Tomato Soup and also the price of crude oil in the U.S., where we were able to get monthly data for both series back to January 1946, which means that we're capturing the entire post-World War 2 era in the United States.

The reason why we were doing that is because oil, along with tomatoes and steel, can be considered to be one of the three primary ingredients for making Campbell's Condensed Tomato Soup, thanks to its role in fueling the supply, production and distribution networks for making industrial quantities of the iconic product available for sale in the U.S. economy.

So we did, and for the sake of making a more direct comparison between the two sets of prices, we converted the sale price of a typical 10.75-ounce can of Campbell's Condensed Tomato Soup into the equivalent price of a 42-gallon barrel of the product! The following chart shows the results of that math, where we discover that there are three distinct periods in the post-war economy for the United States.

The three periods are:

• The post-World War period where the gold standard was in effect, until it was terminated on 15 August 1971.
• An economic transition period where price controls were arbitrarily used in an attempt to control inflation to various degrees for different products from 15 August 1971 through 30 April 1974 (for food and other products), and through 30 June 1979 (for oil), although some price controls on oil remained in effect until they were fully eliminated on 29 January 1981.
• The period since 29 January 1981 where neither a gold standard nor price controls have been in use in the U.S. economy.

Although we're looking at nominal prices per barrel for both products, there's enough change in their level over time to make it worthwhile to look at the same historic prices on a logarithmic scale to give a sense of the relative percentage changes that have taken place in the prices of each.

In this second chart, we see that the price of crude oil has been much more volatile in relative percentage terms than changes in the price of Campbell's Condensed Tomato Soup!

The different eras that we see in these charts are really only evident if you look at the nominal, or actual, prices that people paid for the products at the time they were sold. The following chart adjusts these prices for the effects of inflation, where the results are expressed in terms of constant May 2018 U.S. dollars, where you may be surprised by the historic cost trends for both soup and oil.

If you had the impression that soup is no longer the consumer bargain that it used to be as recently as just over a decade ago, you're right! That adverse price trend is one of the reasons why Campbell's Soups (NYSE: CPB) has been struggling in recent years.

The recent news that a study found that retailers are timing the advertising of number of products, such as soda pop, that are popular with food stamp recipients to coincide with the timing of when the federal government reloads Supplemental Nutrition Assistance Program (SNAP) benefit funds onto their Electronic Benefit Transaction (EBT) cards, ranks right up there with the kinds of stories that come out whenever huffy reporters are shocked to discover that there is gambling going on at their local casino.

Here's another news flash: the same retailers do exactly the same thing with the kinds of products favored by senior citizens, only here, the timing of the ads coincides with when Social Security checks are mailed out each month.

It's the result of something called "market research", and it has been a thing that retailers have been doing for decades to get to know their customers better. Here, retailers who pay attention to the kinds of things that their customers buy throughout the course of a month, and do so for month after month while also making note of the visible characteristics of their customers, are seeking to find regular and repeating patterns in their consumer behavior. If they identify any such patterns, they will adapt their retailing strategies to accommodate those regular consumers so that they have the kinds of products available to buy when they're shopping for them and, horror of horrors, will use advertising to communicate that they do.

Understanding that is why we found the following comments of an assistant professor of health and social policy at Johns Hopkins University, who helped conduct the study, somewhat amusing:

“People will argue that individuals are ultimately responsible for their choices, but we know that the environment in which we make choices matters,” Moran said. “This study is another example of industry targeting sugary beverage marketing toward lower income families.”

This study is the first to tie food advertising to SNAP distribution patterns. Because food-stamp benefits are dispersed in a lump sum each month, and because many recipients spend those funds within a week of receiving them, stores frequently see higher sales and traffic in the days after benefits get reloaded.

[...]

“I’ve worked with a lot of work with retailers, and I know that retailers are very attuned to when households receive benefits,” Moran said. “When you think about it, it makes a lot of sense: If you operate in a state where everyone receives benefits on the same day, there’s a huge financial incentive on that day to heavily market popular items.”

Moran cautions that her data is only from New York and that patterns may differ in other states. She also can’t say whether grocery stores or soda producers are to blame.

We'll go out on a limb and say that there are almost certainly very similar if not identical patterns in every other state. We'll also say that in addition to grocery stores and soda producers, there's another party, aside from market research firms, behind the pattern Moran has observed: the low income consumers who receive and use SNAP benefits, who are also actively participating in these transactions!

But what to do about this newly perceived problem? Our intrepid researcher has an idea....

Fortunately, Moran said, the fix for this particular problem may be simple: States could issue food stamps on a rolling basis. On the national level, the Department of Agriculture could extend rules for SNAP-approved retailers to include marketing practices.

It's not a bad idea as it goes. Rather than dumping welfare benefits into the economy on the same days each month, the federal government could distribute the same amount of benefits in smaller, more frequent installments, which would introduce less distortion into local economies when compared with the disproportionate monthly spike that the current approach generates.

But shouldn't we also be looking at taking products like soda pop, which is perceived by many to be unhealthy, off the list of approved products that can be bought using SNAP's food stamp benefits? There certainly have been an increasing number of politicians seeking to have the program changed this way, despite studies that suggest little connection between food stamp use and adverse health conditions such as obesity.

But Moran did not back the growing calls to ban soda from the food-stamp program. Public health experts and conservative reformers have asked Congress to include such a ban in the 2018 Farm Bill, which they say would save money and improve nutrition.

Moran argues there's no evidence a ban would cut down on soda-drinking, because SNAP recipients could always just buy beverages with cash. Worse, she said, by ignoring marketing and other systemic issues, the ban would address the symptoms — and not the causes — of the income/nutrition gap.

This is where Moran starts getting into a bit of trouble. What our intrepid researcher doesn't appreciate is that all products that are eligible to be purchased through SNAP food stamp benefits are completely exempt from state and local sales taxes. That sales tax exemption means that SNAP welfare benefit recipients can buy larger quantities of products like soda pop than regular cash-paying non-SNAP households can when spending an identical amount of money.

In other words, when compared with non-SNAP households, many of the households that receive SNAP benefits have an additional financial incentive to buy larger quantities of products like soda pop, where their costs are discounted by the percentage of sales tax that they would otherwise have to pay if they spent cash from their ordinary income - especially in the 35 states that allow their full state and local sales taxes to be levied on the sale of soda.

On a side note, we believe that's the main motive behind many politicians seeking to get soft drinks off the eligibility list for SNAP benefits. It would unquestionably increase state and local government sales tax revenues.

But before we might consider taking steps to remove that welfare-driven financial incentive, we really need to know what impact that stripping the eligibility of soda pop to be paid for with SNAP food stamp benefits might have. As we saw in Philadelphia, when that city taxed soft drinks, it directly coincided with a pronounced increase in the consumption of alcohol-based beverages that became more relatively affordable after the city jacked up the cost of soft drinks with its controversial soda tax, which many people would argue leads to undesirable outcomes.

What we need is a proper experiment. What would it take to get one going?

The U.S. Patent and Trademark Office has issued its 10,000,000th utility patent! To mark the occasion, the USPTO also introduced a new patent cover design.

On June 19, the U.S. Patent and Trademark Office will issue patent number 10 million—a remarkable achievement for the United States of America and our agency. More than just a number, this patent represents one of ten million steps on a continuum of human accomplishment launched when our Founding Fathers provided for intellectual property protection in Article 1, Section 8, Clause 8 of our Constitution.

Appropriately, patent number 10 million will be the first issued with a new patent cover design, which we unveiled in March at South by Southwest in Austin, Texas. It was created by a team of USPTO graphic designers including Rick Heddlesten, Teresa Verigan, and led by Jeff Isaacs. Like the numerical milestone, the new cover design celebrates both how far we have come and the new frontiers we have yet to explore.

So it will be prettier than its 9,999,999 predecessors. But we won't know more than that until U.S. Patent 10,000,000 is officially issued later today. We'll update this post after it has been released sometime after 9:00 AM EDT....

Update 9:45 AM EDT: It's been released - it's a laser detection and ranging system that has been issued to Raytheon!

Here's the abstract:

A frequency modulated (coherent) laser detection and ranging system includes a read-out integrated circuit formed with a two-dimensional array of detector elements each including a photosensitive region receiving both return light reflected from a target and light from a local oscillator, and local processing circuitry sampling the output of the photosensitive region four times during each sample period clock cycle to obtain quadrature components. A data bus coupled to one or more outputs of each of the detector elements receives the quadrature components from each of the detector elements for each sample period and serializes the received quadrature components. A processor coupled to the data bus receives the serialized quadrature components and determines an amplitude and a phase for at least one interfering frequency corresponding to interference between the return light and the local oscillator light using the quadrature components.

For applications, a LADAR system like the one described in the patent would have the capability of replacing radar as a means for detecting objects in flight or on the ground. For Raytheon, which manufactures both missile and anti-missile systems, such a system would be less vulnerable to detection, which would make the company's bread and butter products less vulnerable to attack while remaining very capable of detecting and targeting threats.

Last week, we listed three possible outcomes for how the trajectory of the S&P 500 would evolve after we reached the effective end of 2018-Q2.

Well, we reached the effective end of 2018-Q2 with a quadruple witching event on Friday, 15 June 2018, and we may have gotten an indication of where investors are investors will be shifting their forward-looking attention next: toward the distant future quarter of 2019-Q1.

Truth be told, the jury is still out on whether that is really the case. It is still quite possible that investors are splitting their attention between 2019-Q1 and the nearer term future quarter of 2018-Q4, where they may just be putting a higher weight on the expectations associated with the more distant future quarter in setting today's stock prices. Which wouldn't be a bad outcome for investors because at least it doesn't coincide with a decline in stock prices.

As for the news of the week, which was described in some quarters as "the most important week of 2018", the market's reaction to all that news could be summarized as "meh", where even a new round of tariffs being imposed by the U.S. and China on goods exported by each to the other on Friday didn't contribute much more than a trivial level of noise to the market on the last day of the second full week of June 2018.

Monday, 11 June 2018

• Oil near flat as OPEC supply hike appears less certain
• Wall Street ekes out gains ahead of Singapore summit
• Trump and Kim pledge to work toward denuclearization at historic summit

Tuesday, 12 June 2018

• Oil eases; OPEC cites uncertain market outlook for 2018
• With rate hike in the bag, focus turns to Fed's policy language
• Dissident doyen set to rejoin Fed's rate-setting panel
• S&P 500 ends up; Time Warner shares jump after hours
• AT&T wins court approval to buy Time Warner over Trump opposition

Wednesday, 13 June 2018

• Oil rises as U.S. inventories fall on strong demand
• Fed lifts rates amid stronger inflation, drops crisis-era guidance
• U.S. mortgage applications fall as loan rates rebound
• Wall Street falls as Fed signals two more hikes this year

Thursday, 14 June 2018

• U.S. shale firms miss out on $70 oil after hedging at $55
• Quick analysis: Many U.S. shale firms can make money with oil at $55 per barrel, so they contracted with buyers at that price. With oil at $70 per barrel, they're losing out on bigger profits. It's actually good news for the buyers, who are getting cheaper oil than what they would have to pay intoday's market, but that will only last until the contracts expire....
• QE lives! U.S. Fed buys $1.5 billion of mortgage bonds, sells none
• Trump gets win at U.S. Supreme Court in China antitrust case
• Nasdaq hits new closing high, S&P 500 gains after ECB decision, U.S. data
• ECB to end bond buying but pushes out first rate hike

Friday, 15 June 2018

• Oil slumps 3 percent on OPEC supply, China's tariffs
• Trade Wars:
• Trump sets tariffs on $50 billion in Chinese goods; Beijing strikes back
• China to impose 25 percent tariffs on 659 U.S. goods worth $50 billion
• Wall Street builds immunity to trade war rhetoric
• Fed's Kaplan says he's open-minded to fourth 2018 rate hike
• Wall Street ends high-volume session lower on trade jitters

Barry Ritholtz succinctly summarized Week 2 of June 2018's economic and market events, finding 8 positives and 5 negatives. If that doesn't intrigue you, there were also 5 "m/o/m" data points and one that was "w/o/w". (You really have to dig for points of interest on those "meh" weeks!)

Michael Jackson was many things. One of the most popular entertainers of all time, with a career that spanned over four decades until his death at Age 51 in 2009, the proverbial "King of Pop" was an extraordinary musical talent who left an indelible mark on audiences around the world who remember him primarily through his sheer talent for singing, songwriting, and dancing, where his live performances often set new standards.

One reason why that was the case is because Jackson's creative ability didn't stop with singing, songwriting or dancing. Michael Jackson was a genuine inventive talent, who has a patent to prove it!

U.S. Patent 5,255,452 for a "Method and Means for Creating Anti-Gravity Illusion" was issued on 26 October 1993 to Michael Jackson and two co-inventors, Michael L. Bush and Dennis Tompkins. We'll let the patent's background section explain how the invention came to be:

In the past, a professional entertainer, one of the inventors herein, has incorporated dance steps in his recorded video performances, wherein he and other dancers would lean forward beyond their center of gravity, thereby creating an impressive visual effect. This effect was accomplished by the use of cables connecting a harness around the dancer's waist with hooks on a stage, thereby allowing the dancer to lean forward at the required degree. However, since this requires stagehands to connect and then disconnect the cables, it has not been possible to use this system in live performances. Moreover, the cables obviously restricted arm and body movements....

The present invention overcomes the above noted deficiencies of the previously employed cable system by providing specialized footwear and a moveable hitch or post to which the specialized footwear can be detachably engaged to allow the footwear wearer to lean forward on the stage, with his or her center of gravity well beyond the front of the shoes, thereby creating the desired visual effect.

The invention provides a new design for shoes which will allow his or her performing artist, by engaging the shoes onto an upstanding post positioned to project upwardly from a stage at a predetermined time, to lean forwardly to put his or her center of gravity beyond the front or rear of his shoes, thereby creating the desired gravity defying interesting visual effect.

That's a pretty dry description for the visual effect that could be achieved using Jackson's invention, so it might be better just to show a video clip of it in action during one of his live performances. If you want to skip ahead, you can see it at the 3:30 mark.

Compare that visual effect with how the dance move was originally executed with the use of a cable system in the official music video of the song, where you can catch it at the 7:04 mark.

Giving credit where it's due, we learned of Michael Jackson's patent from Cosmos' Andrew Masterson (via Newmark's Door), who wrote up the story of the research of a team of neurosurgeons who specialize in spinal biomechanics, who were investigating how Jackson and other dancers performing with him were able to execute the seemingly physics-defying stunt during live performances.

There was nothing at all like it before Michael Jackson, which is really the proof of true innovation.

Inventions in Everything: The Archives

We're in the final countdown for the issuance of the U.S. Patent and Trademark Office's 10,000,000th utility patent, which we expect to be released on Tuesday, 19 June 2018. And what better way to celebrate the spirit of American invention that has led to ten million utility patents than by sampling the handful of some of the more creative patents that the Inventions in Everything team has explored!

• Inventions in Everything: Treadmills Inside Your Shoes
• Inventions in Everything: Makeup Applicator for Cat Eyes
• Inventions in Everything: Optical Illusions to Enhance Safety
• Inventions in Everything: The Future of Ironing
• Inventions in Everything: The Sock Slider
• Inventions in Everything: A Cold, Refreshing, CRISPR Beer
• Inventions in Everything: World's Brightest Flashlight and Glow-in-the-Dark Paint
• Inventions in Everything: On Track for Ten Million Patents!
• Happy Holographic Halloween!
• Elevators that Go Up, Down, Left and Right....
• Inventions in Everything: Ice Cream Pint Lock
• Slow Dance
• Inventions in Everything: Training Device for Beer Pong
• Inventions in Everything: The Flask from the Future
• Inventions in Everything: The Music Playing Bag of Nacho Cheese Flavored Tortilla Chips
• Inventions in Everything: Floating Beer Pong Table
• Inventions in Everything: The Tree Transplanter
• Inventions in Everything: Stopping the Refrig-a-raider
• Inventions in Everything: Popping the Top on National Beer Day
• Inventions in Everything: Fishing for Boats
• Inventions in Everything: Suction Tube for Reverse Axial Withdrawal
• Inventions in Everything: The Unwelcome Mat
• Hubcaps to Replace Snow Chains
• Young AIs in Love
• Inventions in Everything: Rolling on the Vinyl Tracks
• Inventions in Everything: Drilling Square Holes
• The Singing Stones
• Inventions in Everything: The Future of Furniture
• Inventions in Everything: The WiFi Wig
• Inventions in Everything: Keeping Dog Time
• Drying Clothes With Ultrasound
• The Future of Fireworks
• Harvesting Water from the Air
• Inventions in Everything: Automated Window Blinds
• Inventions in Everything: Flying Snoopy!
• Inventions in Everything: Texting Your Dog a Treat
• Houseplants from Avatar
• The Kitchen Unitaskers You Cannot Live Without
• Inventions in Everything: The Baby Cage
• Self-Carving Pumpkins
• Inventions in Everything: The Alarm Clock of Damocles
• Automated Zen
• Inventions in Everything: The Toilet Snorkel
• Billionaire Drinks Sewage: Video
• Inventions in Everything: Antiterrorism Barriers
• Wrapping Your Bike Around a Tree... On Purpose
• Inventions in Everything: Geothermal Beer Coolers
• Death to Mosquitoes!
• Reinventing the Axe
• Inventing a Better Snowshoe
• Inventions in Everything: The Salmon Cannon
• The Ultimate Swiss Army Knife You Can Buy Today
• Powdered Wine: Just Add Water!
• There Is No Great Snowplow Stagnation
• The Ultimate in Rust Proofing
• Fail: The Newest Innovation in Ice Cream
• Unlimited Virtual Legos
• Inventions in Everything: The Ultimate Turkey Blind
• Inventions in Everything: Turning Cans Into Sippy Cups
• Inventions in Everything: Anatomical Lego Figures
• It's Not What You Think....
• Inventions in Everything: Soup Bowl Attraction
• Inventions in Everything: Making Life More Difficult
• Inventions in Everything: The Oreo Separator Machine
• Air Shark!
• Markets in Everything: Stormtrooper Motorcycle Suit
• The Bike That Rides You
• One Inventor's Stick-to-itiveness
• High Five!
• Inventions for Everything
• The Best Mousetrap Ever
• An Invention for the True Wine Connoisseur
• Three of Ten Things You Don't Need on St. Patrick's Day
• The Future Just Got a Lot Cooler Than It Used to Be
• The Worst Piece of Design Ever Done
• The Magic Marker of the Future
• Coming Soon, to a Gym Near You!