You have to be one locked in, arrogant Representative to be seen in a photo with Mike Bitar - and all the @FBI baggage he brings.
District 1: @SupervisorAlejo
District 2: @PhillipsForSupe
District 3: @SupervisorLopez
District 4: @WendyRootAskew
District 5: @MaryLAdams https://t.co/PbrHnXPTGY
Thanks to the Grupo Flor team for showing me their Salinas facility this week. Glad to hear more about their cannabis retail operations. pic.twitter.com/3xSiObpUSS
— Rep. Jimmy Panetta (@RepJimmyPanetta) January 29, 2021
More from home 🏡 🌊
N. D. Cal. 1984
Conspiracy to import #marijuana, 21 U.S.C. § 963; willfully subscribing to a false tax return, 26 U.S.C. § 7206(1)
______
And this wasn't some dime bag weed dealer. Phil and a guy named Bruce Perlowin (Google it) ran $985,000,000 through
These pardons are below the dignity of the office of the President. This is not justice, this is excusing corruption. https://t.co/cZW7RvUgnb
— Rep. Jimmy Panetta (@RepJimmyPanetta) December 24, 2020
2/
a money laundering entity called First Cabin LLC - located at? #CanneryRow
Isn't that right @MontereyPolice? <~ proud moment for MPD. All under their nose 😉
A bunch of cops wives worked for First Cabin LLC - which is odd.
These people ran boats Phil and his homeboys
3/
purchased for $11,000,000.00
They named their boats various versions of 'Taylor Day'
THE Taylor Day was seized by the Nicaraguan government.
What exactly were we doing in Nicaragua in the 1980s❓
Running dope, guns and money for an illegal war
Strange that Leon Panetta's
4/
buddies would be involved with dope and Nicaragua / Central America and not that long after @BillClinton made Leon his COS - then Leon Panetta becomes the CIA Director? With his background?
Strange.
Now tie in Cannery Row, the bizarre history of the Cannery Row partners
5/
and their very bizarre relationship with Leon Panetta and where are we?
Back to a silver spooner like @RepJimmyPanetta talking about @realDonaldTrump's pardon being "beneath the dignity of the office of the President".
The statement is true but coming from Jimmy -
Run by a crooked Deputy turned Sheriff in 2015, @SheriffBernal should be deported. 😂 https://t.co/WxnRl6otrB
Eye-opening report from @NateGartrell about a 'deportation pipeline' in San Francisco
— David DeBolt (@daviddebolt) December 24, 2020
DA Chesa Boudin: \u201cSFPD knows full well they are handing over undocumented immigrants to federal authorities for deportation.\u201dhttps://t.co/dTsr61O8ri
2/
"The state Fair Political Practices Commission this month agreed to open investigations into two complaints filed by Schneider. One accuses the Monterey County Counsel’s Office of improper partisanship. We’ll get to that one in a
3/
"Over the past year, his research has revealed an apparent pattern of campaign law violations throughout Monterey County and an unwillingness by local authorities to take
4/
'They liked it best when the resulting stories could be labeled with a headline or voiceover declaring something simple like “Charges Fly in Sheriff’s
5/
"Caldwell denies he had a still but acknowledges that a SWAT team sergeant passed out after drinking too much of something and had to be taken away by
More from Society
these have been sold as a way to stop infection as though this were science.
this was never true and that fact was known and knowable.
let's look.
above is the plot of social restriction and NPI vs total death per million. there is 0 R2. this means that the variables play no role in explaining one another.
we can see this same relationship between NPI and all cause deaths.
this is devastating to the case for NPI.
clearly, correlation is not proof of causality, but a total lack of correlation IS proof that there was no material causality.
barring massive and implausible coincidence, it's essentially impossible to cause something and not correlate to it, especially 51 times.
this would seem to pose some very serious questions for those claiming that lockdowns work, those basing policy upon them, and those claiming this is the side of science.
there is no science here nor any data. this is the febrile imaginings of discredited modelers.
this has been clear and obvious from all over the world since the beginning and had been proven so clearly by may that it's hard to imagine anyone who is actually conversant with the data still believing in these responses.
everyone got the same R
this methodology is a little complex, so let me explain what i did.
— el gato malo (@boriquagato) May 30, 2020
a few EU countries provide real day of death data. this lets us plot meaningful curves to show rate of disease change.
what struck me is how similar all the curves were.
everyone got the same shape. pic.twitter.com/bN0hILzoSl
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Beautifully read: why bookselfies are all over Instagram https://t.co/pBQA3JY0xm
— Guardian Books (@GuardianBooks) October 30, 2018
THEY DO READ THEM, YOU JUDGY, RACOON-PICKED TRASH BIN
If you come for Bookstagram, i will fight you.
In appreciation, here are some of my favourite bookstagrams of my books: (photos by lit_nerd37, mybookacademy, bookswrotemystory, and scorpio_books)