So much to love about this book. www.netgalley.com/book/796666/... #AComplementofScoundrels #Netgalley #booksky @binderybooks.bsky.social @kistreadsbooks.bsky.social ππ
02.03.2026 22:38 β π 0 π 0 π¬ 0 π 0So much to love about this book. www.netgalley.com/book/796666/... #AComplementofScoundrels #Netgalley #booksky @binderybooks.bsky.social @kistreadsbooks.bsky.social ππ
02.03.2026 22:38 β π 0 π 0 π¬ 0 π 0Boomer? FY. Blocked.
02.03.2026 01:21 β π 0 π 0 π¬ 0 π 05 stars. Highly worthwhile read. www.netgalley.com/book/790813/... #UncoverUp #NetGalley @ecwpress.bsky.social #booksky ππ
28.02.2026 19:23 β π 7 π 0 π¬ 0 π 0Shabbat shalom.
28.02.2026 03:27 β π 1 π 0 π¬ 1 π 0I read an advance copy. It was excellent.
24.02.2026 16:00 β π 1 π 0 π¬ 0 π 0In my fantasy world, people would vote for competency and HRC would have won, to be succeeded by KH.
22.02.2026 17:55 β π 12 π 2 π¬ 2 π 1May his memory be a blessing.
22.02.2026 17:54 β π 2 π 0 π¬ 1 π 0Based on very little knowledge, I suspect that #2 is the single biggest reason.
22.02.2026 17:50 β π 2 π 0 π¬ 1 π 0I was thinking that some of the Discworld novels feature Sergeant Detritus, who seems to be an inorganic troll but I am not sure if he is a major character. discworld.fandom.com/wiki/Detritus
21.02.2026 17:59 β π 1 π 0 π¬ 0 π 0Promising start but not much else. www.netgalley.com/book/784954/... #CousinsFromaDistantSun #NetGalley #booksky ππ@severnhouse.bsky.social
17.02.2026 19:39 β π 1 π 0 π¬ 0 π 0Book cover: To Life: Jew Exploring Nature
Good history of science. www.goodreads.com/review/show/... #ToLifeJewsExploringNature #Edelweiss @rutgersupress.bsky.social
16.02.2026 22:11 β π 0 π 0 π¬ 0 π 0Great plot but not compelling characters. www.netgalley.com/book/792845/... #TheHouseofShatteredWings #NetGalley #booksky ππ
12.02.2026 22:30 β π 1 π 0 π¬ 0 π 0I assume that you and @wendyorent.bsky.social will discuss this on an upcoming podcast. If I'm correct, I look forward to it.
11.02.2026 00:19 β π 2 π 0 π¬ 1 π 0I also need to say that your article was very well-written. Thank you.
11.02.2026 00:15 β π 17 π 0 π¬ 1 π 0I feel the need to comment but this has me speechless.
11.02.2026 00:12 β π 12 π 0 π¬ 1 π 0One unintended thing this graph shows is how increasing the number of cases makes more stable measures. The first dot is for age 0, since the first year has a high death rate, it works well at measuring the death rate of our young. This one is just under 200 which means Alabama's death rate is close to twice as high as New York state's. Oh, I didn't start noting that the reason I am comparing these two states is I keep hearing Alabama political leaders putting New York down and ending with I am glad to be in Alabama. Next are three dots that are farther apart than the later ones. This is because I used age groups for these very young because the single year age mortality data does not have enough cases to allow the Bureau of Vital Statistics to release data. Once the increase in numbers with age provide enough cases, I shift to single year data for up to age group 85+. One major thing to notice is that vertical difference between consecutive measures gets smaller with age. This is due to death rates increase with age and this increase in numbers works just like increasing sample sizes in data, variation decreases. The second thing to notice is that the center of the line of dots also slowly moves down and gets below 150 at age 85 and that large age 85+ group at the end is down to 123%. Here is the data producing the graph: Age Al Pct of NY 0 195 2.5 169 7 185 12 185 15 219 16 269 17 215 18 160 19 324 20 191 21 158 22 267 23 193 24 247 25 257 26 189 27 185 28 212 29 196 30 205 31 179 32 159 33 194 34 171 35 172 36 213 37 217 38 220 39 181 40 180 41 184 42 201 43 186 44 191 45 195 46 210 47 172 48 208 49 189 50 185 51 172 52 173 53 167 54 172 55 164 56 163 57 162 58 167 59 165 60 174 61 182 62 172 63 168 64 164 65 169 66 172 67 168 68 165 69 165 70 161 71 152 72 156 73 159 74 148 50 157 76 151 77 148 78 150 79 150 80 140 81 145 82 148 83 145 84 140 85 123 Look at changes for ages 16 through 19 and then for the 80's.
Here I compare 2023 detailed age death rates in Alabama with the same death rates in New York. The purpose of this graph is to discuss several things that higher versus lower death rates cause. The displayed data are at the end. π§ͺπ‘β οΈ #Sociology #Population #NewYork #Alabama
08.02.2026 03:21 β π 17 π 5 π¬ 2 π 0Interesting look at nature vs nurture. www.netgalley.com/book/715357/... #OriginalSin #NetGalley @penguinrandomhouse.bsky.social
07.02.2026 20:22 β π 0 π 0 π¬ 0 π 0Well worth reading. www.netgalley.com/book/766513/... #TheFirstGhetto #Netgalley @basicbooksgroup.bsky.social #booksky ππ
06.02.2026 18:59 β π 3 π 1 π¬ 0 π 0Winnipeg has the National Microbiology Laboratory. People are leaving the CDC in Atlanta, voluntarily or otherwise. I see a match made in heaven.
31.01.2026 21:28 β π 2 π 0 π¬ 1 π 0Worthwhile read. www.netgalley.com/book/725393/... #TheDreadedPox #NetGalley @universitypress.cambridge.org #booksky ππ
31.01.2026 14:21 β π 2 π 0 π¬ 0 π 0Excellent review. I especially loved that last line.
30.01.2026 19:56 β π 1 π 0 π¬ 1 π 0Not the usual A-bomb story. www.netgalley.com/book/784496/... #TheGreatestScientificGamble #NetGalley #booksky ππ
30.01.2026 18:11 β π 3 π 0 π¬ 0 π 0Wonderful science writing. www.netgalley.com/book/769256/... #TheEchoingUniverse #Netgalley #booksky @dreochapman.bsky.social @basicbooksgroup.bsky.social ππ
28.01.2026 00:07 β π 1 π 0 π¬ 0 π 0Happy birthday!
26.01.2026 22:42 β π 2 π 1 π¬ 0 π 0May their memory be a blessing.
24.01.2026 22:30 β π 0 π 0 π¬ 1 π 0
A lot to like. www.netgalley.com/book/780656/... #InBetween #NetGalley #booksky
ππ
Twisted roots. Cute pun.
23.01.2026 13:38 β π 0 π 0 π¬ 0 π 0What century is this?
23.01.2026 03:22 β π 0 π 0 π¬ 0 π 0Anti-vaxxer false claims about RNA rabies vaccine for pets www.skepticalraptor.com/skepticalrap...
21.01.2026 23:37 β π 0 π 0 π¬ 0 π 0Good; I'm not the only one who DNFs. I use Nancy Pearl's rule of 50. lplks.org/blogs/post/n...
21.01.2026 21:08 β π 1 π 0 π¬ 1 π 0