Agriculturized Content Marketing
October 7, 2015
When you think of paid content, eggs are probably not the first product you envision. However, the Guardian reveals, “US-Appointed Egg Lobby Paid Food Blogs and Targeted Chef to Crush Vegan Startup.” Apparently, the American Egg Board’s (AEB’s) efforts began when Silicon Valley startup Hampton Creek began gaining traction with their egg alternative. Fearing encroachment on its territory, the AEB is reported to have paid food bloggers up to $2500 to insert their talking points into recipes and other content; to have slammed publications that wrote positive articles about Hampton Creek; to have attempted to recruit celebrities to push real eggs; and, my favorite, to have purchased Google ads that returned AEB-sponsored content when users searched for Hampton Creek or company founder Josh Tetrick.
There is a slight problem: these tactics appear to violate U.S. Department of Agriculture rules. Reporter Sam Thielman tells us:
“The scale of the campaign – dubbed ‘Beyond Eggs’ after Hampton Creek’s original company name – shows the lengths to which a federally-appointed, industry-funded marketing group will go to squash a relatively small Silicon Valley startup, from enlisting a high-powered public relations firm to buying off unwitting bloggers. One leading public health attorney, asked to review the internal communications, said the egg marketing group was in breach of a US department of agriculture (USDA) regulation that specifically prohibited ‘any advertising (including press releases) deemed disparaging to another commodity’. Tetrick called for the USDA to clamp down on the food lobby, as thousands of petitioners called on the White House to investigate the USDA itself for ‘deceptive endorsements’. ‘This is a product that has been around for a very long time,’ the Hampton Creek founder said. ‘They are not used to competition and they don’t know how to deal with it’.”
That’s one way to look at it. It seems that Tetrick’s company, however, is not beyond reproach. The U.S. Food and Drug Administration recently told them to rename their main product, “Just Mayo,” because mayonnaise, by definition, contains eggs. There also seem to be some issues with their methods and work environment, according to former employees. See the article for more details on this culinary rivalry.
Cynthia Murrell, October 7, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Compare Trump to Lincoln with Watson Personality Insights
August 19, 2015
IBM’s Watson is employing its capabilities in a new and interesting way: BoingBoing asks, “What Does Your Writing Say About You? IBM Watson Personality Insights Will Tell You.” The software derives cognitive and social characteristics about people from their writings, using linguistic analytics. I never thought I’d see a direct, graphically represented comparison between speeches of Donald Trump and Abe Lincoln, but there it is. There are actually some similarities; they’re both businessmen turned politicians, after all. Reporter Andrea James shares Watson’s take on Trump’s “We Need Brain” speech from the recent Republican primary debate:
“You are a bit dependent, somewhat verbose and boisterous. You are susceptible to stress: you are easily overwhelmed in stressful situations. You are emotionally aware: you are aware of your feelings and how to express them. And you are prone to worry: you tend to worry about things that might happen. Your choices are driven by a desire for efficiency. You consider both independence and helping others to guide a large part of what you do. You like to set your own goals to decide how to best achieve them. And you think it is important to take care of the people around you.”
For comparison, see the write-up for the analysis of Lincoln’s Gettysburg Address (rest assured, Lincoln does come out looking better than Trump). The article also supplies this link, where you can submit between 3500 and 6000 words for Watson’s psychoanalysis; as James notes, you can submit writing penned by yourself, a friend, or an enemy (or some random blogger, perhaps.) To investigate the software’s methodology, click here.
Cynthia Murrell, August 19, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
Useful Probability Lesson in Monte Carlo Simulations
April 6, 2015
It is no surprise that probability blogger Count Bayesie, also known as data scientist Will Kurt, likes to play with random data samples like those generated in Monte Carlo simulations. He lets us in on the fun in this useful summary, “6 Neat Tricks with Monte Carlo Simulations.” He begins:
“If there is one trick you should know about probability, it’s how to write a Monte Carlo simulation. If you can program, even just a little, you can write a Monte Carlo simulation. Most of my work is in either R or Python, these examples will all be in R since out-of-the-box R has more tools to run simulations. The basics of a Monte Carlo simulation are simply to model your problem, and then randomly simulate it until you get an answer. The best way to explain is to just run through a bunch of examples, so let’s go!”
And run through his six examples he does, starting with the ever-popular basic integration. Other tricks include approximating binomial distribution, approximating Pi, finding p-values, creating games of chance, and, of course, predicting the stock market. The examples include code snippets and graphs. Kurt encourages readers to go further:
“By now it should be clear that a few lines of R can create extremely good estimates to a whole host of problems in probability and statistics. There comes a point in problems involving probability where we are often left no other choice than to use a Monte Carlo simulation. This is just the beginning of the incredible things that can be done with some extraordinarily simple tools. It also turns out that Monte Carlo simulations are at the heart of many forms of Bayesian inference.”
See the write-up for the juicy details of the six examples. This fun and informative lesson is worth checking out.
Cynthia Murrell, April 6, 2015
Stephen E Arnold, Publisher of CyberOSINT at www.xenky.com
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