@NYTimes obits: 305 males, 147 females

Today, October 21, there was 1 male and 2 female featured obituaries in the New York Times. Catching up, yesterday, October 20, there was 2 male and 1 female featured obituaries in the New York Times. Since I started tracking it here, that is 305 males featured and 147 females featured. #IfYouSeeSomethingSaySomething

(I started tracking the obits here on May 14 02017, but I’ve missed days when on travel. On travel, some of my stats are from the DC and Seattle versions of the NYT – I don’t know if the obits published vary by region.)

@NYTimes obits: 302 males, 144 females

Today, October 19, there was 3 male and 1 female featured obituaries in the New York Times. Catching up, yesterday, October 18, there was 4 male and 1 female featured obituaries in the New York Times. Since I started tracking it here, that is 302 males featured and 144 females featured. #IfYouSeeSomethingSaySomething

(I started tracking the obits here on May 14 02017, but I’ve missed days when on travel. On travel, some of my stats are from the DC and Seattle versions of the NYT – I don’t know if the obits published vary by region.)

@NYTimes obits: 295 males, 142 females

Today, October 17, there was 4 male and 1 female featured obituaries in the New York Times. Catching up, yesterday, October 16, there was 3 male and 0 female featured obituaries in the New York Times. October 15, there was 3 male and 2 female featured obituaries in the New York Times. Since I started tracking it here, that is 295 males featured and 142 females featured. #IfYouSeeSomethingSaySomething

(I started tracking the obits here on May 14 02017, but I’ve missed days when on travel. On travel, some of my stats are from the DC and Seattle versions of the NYT – I don’t know if the obits published vary by region.)

@NYTimes obits: 285 males, 139 females

Today, October 14, there was 3 male and 1 female featured obituaries in the New York Times. Catching up, yesterday, October 13, there was 1 male and 1 female featured obituaries in the New York Times. Since I started tracking it here, that is 285 males featured and 139 females featured. #IfYouSeeSomethingSaySomething

(I started tracking the obits here on May 14 02017, but I’ve missed days when on travel. On travel, some of my stats are from the DC and Seattle versions of the NYT – I don’t know if the obits published vary by region.)

@NYTimes obits: 281 males, 137 females

Yesterday, October 11, there was 2 male and 1 female featured obituaries in the New York Times. Catching up, October 10, there was 4 male and 0 female featured obituaries in the New York Times. October 9, there was 2 male and 0 female featured obituaries. Since I started tracking it here, that is 281 males featured and 137 females featured. #IfYouSeeSomethingSaySomething

(I started tracking the obits here on May 14 02017, but I’ve missed days when on travel. On travel, some of my stats are from the DC and Seattle versions of the NYT – I don’t know if the obits published vary by region.)

@sciencemag 02018/09/21 highlights

As always, a good read and a broad look at the week across science.  My three most important to read articles are the “Atomic arrays power quantum computers” as another possible path to quantum compute.  The Materials Science piece on “Cool paint job fights solar warmth” – IPCC’s latest report said we need way more things like this!  And, depressing, and why we really need to get our act together — “Predicting global killer whale population collapse from PCB pollution.

@NYTimes obits: 273 males, 136 females

Today, October 8, there was 2 male and 3** (BUT ONLY 2 count – why? see below..) female featured obituaries in the New York Times. Catching up, yesterday, October 7, there was 1 male and 2 female featured obituaries in the New York Times. October 6, there was 2 male and 1 female featured obituaries. October 5, there was 2 male and 2 female feature obituaries. Since I started tracking it here, that is 273 males featured and 136 females featured. #IfYouSeeSomethingSaySomething

(I started tracking the obits here on May 14 02017, but I’ve missed days when on travel. On travel, some of my stats are from the DC and Seattle versions of the NYT – I don’t know if the obits published vary by region.)

** WHAT?!?!? Montserrat Caballe (a Spanish Diva) was a featured obituary on both Sunday, October 7 and again on Monday, October 8. The header changed very marginally (I think for spacing) and at my quick review, the obit itself was exactly the same. Why?? Why was it featured two days in a row? Yes, I learned about an interesting life the first read, but didn’t need the review the next day..

@NYTimes obits: 266 males, 129 females

Today, October 4, there was 4 male and 0 female featured obituaries in the New York Times. Since I started tracking it here, that is 266 males featured and 129 females featured. #IfYouSeeSomethingSaySomething

(I started tracking the obits here on May 14 02017, but I’ve missed days when on travel. On travel, some of my stats are from the DC and Seattle versions of the NYT – I don’t know if the obits published vary by region.)

@NYTimes obits: 262 males, 129 females

Today, October 3, there was 1 male and 1 female featured obituaries in the New York Times. Since I started tracking it here, that is 262 males featured and 129 females featured. #IfYouSeeSomethingSaySomething

(I started tracking the obits here on May 14 02017, but I’ve missed days when on travel. On travel, some of my stats are from the DC and Seattle versions of the NYT – I don’t know if the obits published vary by region.)

@NYTimes obits: 261 males, 128 females

Today, October 2, there was 3 male and 1 female featured obituaries in the New York Times. Since I started tracking it here, that is 261 males featured and 128 females featured. #IfYouSeeSomethingSaySomething

(I started tracking the obits here on May 14 02017, but I’ve missed days when on travel. On travel, some of my stats are from the DC and Seattle versions of the NYT – I don’t know if the obits published vary by region.)