Trump Pays His Female Employees Like It’s 1980

Ivanka Trump (CNBC)

Ivanka Trump (CNBC)

The gender pay gap is alive and well in the Trump White House. Shocker! (Except not.) Instead of achieving pay parity with men, the women are losing ground in the fight.

(Incidentally, Ivanka Trump serves in an unpaid role.)

Economist Mark Perry of the American Enterprise Institute analyzed median wages, and found that the gender pay gap has more than tripled. In other words, the women are getting paid like it’s 1980.

What does this look like in salary terms?

The median female White House employee is drawing a salary of $72,650 in 2017, compared to the median male salary of $115,000. “The typical female staffer in Trump’s White House earns 63.2 cents per $1 earned by a typical male staffer,” Perry writes.

If you need that pay gap in visual form, you’re in luck:

White House gender pay gap graph (The Washington Post/Wonkblog)

White House gender pay gap graph (The Washington Post/Wonkblog)

Damn, that does not look good.

To put this further in perspective, the national pay gap is 17%. The Trump administration pay gap sits at 37%, more than double the national rate.

Something to note: using the median, and not averages, is the best way to determine pay parity. This is because averages include the outliers, both on the low and high ends of the scale.

Another note: The pay gap in Trump’s White House is higher than the pay gap in any White House since 2003. And

Beth Comstock is GE’s First Female Vice Chair

GE Vice Chair Beth Comstock (Fast Company)

GE Vice Chair Beth Comstock (Fast Company)

Big news from a major corporation: Conglomerate General Electric named Beth Comstock a new Vice Chair. She oversees marketing for the company, becoming chief marketing officer in 2003. Oh yeah, she’s the first woman to hold the executive position (no big!). She joins three other men as her fellow vice chairs.

Comstock’s official title is Vice Chair of Business Innovations (pretty cool, huh?). Per “Fast Company,” here’s what the Business Innovations unit actually is and does:

[It] accelerates new business and helps established commercial ventures transition into GE’s technology universe. The Business Innovations arm houses GE Lighting, GE Ventures & Licensing, software commercialization and corporate marketing, sales, and communications.

Comstock is credited with helping GE focus on the future, in terms of the “industrial internet.” The concept marries data analysis with GE’s traditional, industrial products. CEO Jeff Immelt has called her “a catalyst for digital innovation and growth.”

I can’t wait to see how she’ll evolve GE into the future.

Thursday Trends: Technology in Sex Toys

Crave's Vesper vibrator (Fast CoDesign)

Crave’s Vesper vibrator (Fast CoDesign)

Legend has it Cleopatra may have been one of the first women to use a vibrator. (In her case, it was a calabash filled with buzzing bees.) The legendary queen/sex toy early adopter clearly knew she needed some extra stimulation, and the simple invention paved the way for a future industry.

Now, things have become a little more complex (and thankfully bee-less). Some sex toys have become more high-tech, and take advantage of opportunities within that field. Clearly, when technology enters the bedroom, fun follows.

Below are just a sampling of what tech looks like…in bed:

We Vibe:

The couples’ vibrator We-Vibe 4 Plus makes use of an app designed to maximize each users’ experience. It can used during sex, stimulating both partners. But it can also be used at a distance, with one wearing and the other controlling via the complementary app. The controller can choose the sensations, which the other partner then receives.

Lelo:

Sometimes you just want oral. Enter the Ora 2, which simulates cunnilingus via a rotating hub that stimulates the clitoris.

Crave:

One central component of technology is that it must look good (thank you Steve Jobs for making this commonplace). Sleek is generally the operative term. Crave’s Vesper is a wearable, thin vibrator the consumer can wear around her neck (and only use externally). Creators of the Vesper made sure the product is as elegant to wear as it is useful.

 

…And into the future:

Una:

This company doesn’t yet have a product on the market. But their goal is to sell a “smart” vibrator that learns from what the user likes. It’ll be interesting to see how this one takes shape.

 

As technology continues to evolve, it’ll be interesting to witness how sex toys incorporate the new tech into existing and new toys. Who knows? We could soon see something that looks straight out of “The Jetsons.”

 

Lingerie Company Using A/B Testing to Maximize Revenue

Adore Me model (Image via Adore Me/Facebook)

Adore Me model (Image via Adore Me/Facebook)

This is pretty awesome: Lingerie company Adore Me A/B-tests photos of their models wearing their products to ensure maximum audience engagement that translates into maximum revenue.

For those not in the know, A/B testing is an experiment with two variants, noted as A and B. (Typically, A is the control and B is the variable.) Users are split into randomized groups, so that one will see version  A and the other will see version B. (Who sees what version can sometimes change day-to-day due to the randomization.) Those who run the A/B testing are then able to see how users react to each option, and which one would be more impact for consumers over time.

(Companies can use A/B testing for basically any variable they have. For example, I used an A/B test in my last job to determine how email newsletter headlines affected click-thru rates. Control version A was the normal staid headline, while version B was more creative.)

In this “Fast Company” article that details Adore Me’s A/B testing process, writer Rebecca Greenfield details what variables the company tends to change:

“The distinctions between the pictures might include different models wearing the same set in the exact same position, or the same model in the same set in a different position, for example.”

If anything, this news reveals that analytics tools and approaches have crossed over into non-tech fields, and may soon take over more traditional processes of gathering consumer data.

It’ll also be interesting to see how sexuality stats cross over into Big Data. I feel we’re on the cusp of it right now.