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[OC] Which front offices and agents are the 3 major newsbreakers connected to? I went through 6000+ tweets to find out!

If this sounds somewhat familiar, that's because I did a 2019-2020 version and posted it back in March.
In terms of changes from that post:
TL;DR
Tracked tweets of Woj, Shams and Haynes from 2018-2020 to see whether any of them report on a certain team or a certain agent's players more than their counterparts. Here is the main graph concerning a reporter's percentage of tweets per team separated into three periods (2019 season, 2020 offseason, 2020 season). Here is a separate graph with the Lakers and Warriors, because Haynes's percentages would skew the first graph.

During times like the NBA trade deadline or the lifting of the NBA free-agency moratorium, it’s not uncommon to see Twitter replies to (or Reddit comments about) star reporters reference their performance relative to others.
Woj is the preeminent scoop hound, but he is also notorious for writing hit pieces on LeBron (sources say it’s been widely rumoured that the reason for these is that Woj has always been unable to place a reliable source in LeBron’s camp). On the other end of the spectrum, it has been revealed that in exchange for exclusive intel on league memos and Pistons dealings, Woj wrote puff pieces on then-GM Joe Dumars (see above Kevin Draper link). Last summer, Woj was accused of being a Clippers shill on this very discussion board for noticeably driving the Kawhi Leonard free agency conversation towards the team.
This is the reason I undertook this project: to see whether some reporters have more sources in certain teams (and certain agencies) than other reporters.
First I’ll explain the methodology, then present the data with some initial comments.

Methodology

To make this manageable on myself, I limited myself to tracking the 3 major national reporters: Shams Charania of the Athletic, Chris Haynes of Yahoo Sports and the aforementioned Adrian Wojnarowski of ESPN.
The time period I initially tracked for was from January 1, 2020 to the end of the regular season March, but after finding a Twitter scraping tool on GitHub called Twint, I was able to easily retrieve all tweets since September 27, 2018. However, a month ago, Twitter closed their old API endpoints, and Twint ceased to work. I used vicinitas.io but the data loading became more time-consuming. Therefore, the tweets are up to the date of October 15 2020.
How I determined information was by manually parsing text tweets by the reporter (no retweets):
Now, I didn’t take every single text tweet:
Next, I had to assign possible teams to each tweet:
With all the methodology out of the way, here’s the data! (Here’s a link to a full Google Sheet)

Teams

Here's a graph of number of tweets per team per period, with the colours denoting reporter.
On a quick glance, here's which teams saw a significant period-over-period increase in number of tweets:
And here's which teams saw decreases over a period-by-period basis:
The problem with just using number of tweets is that it's not close on totals between Haynes vs. Woj or Shams. Here's a graph showing total number of tweets in each period for all three reporters. Haynes's most reported period doesn't even stack up to the least reported period of Woj or Shams.
Instead, let's look at percentage of tweets per team per period.
Now, you'll notice that there's two teams missing from the above graph: the Golden State Warriors and the Los Angeles Lakers. Here's the graphs for those two teams. As you can see, they would skew the previous graph far too much. During the 2019 NBA season, 27% of Chris Haynes's qualifying tweets could be possibly linked to the Warriors, and 14% of his qualifying tweets could be possibly linked to the Lakers.

Agents

Here's the top 10 agents in terms of number of potential tweets concerning their clients.
Agent Haynes Shams Woj Total
Rich Paul 15 28 24 67
Mark Bartelstein 4 16 30 50
Jeff Schwartz 3 10 25 38
Bill Duffy 2 13 14 29
Leon Rose 1 12 15 28
Aaron Mintz 2 9 15 26
Juan Perez 5 10 8 23
Aaron Goodwin 11 8 1 20
Steven Heumann 1 6 12 19
Sam Permut 1 13 5 19
Woj has the most tweets directly connected to agents by far. It wasn't uncommon to see "Player X signs deal with Team Y, Agent Z of Agency F tells ESPN." The agents that go to Woj (and some of their top clients):
One thing I found very intriguing: 15/16 of tweets concerning an Aaron Turner client were reported on by Shams. Turner is the head of Verus Basketball, whose clients include Terry Rozier, Victor Oladipo and Kevin Knox. Shams also reported more than 50% of news relating to clients of Sam Permut of Roc Nation. Permut is the current agent of Kyrie Irving, after Irving fired Jeff Wechsler near the beginning of the 2019 offseason. Permut also reps the Morris brothers and Trey Burke.
As for Chris Haynes, he doesn't really do much agent news (at least not at the level of Woj and Shams). However, he reported more than 50% of news relating to clients of Aaron Goodwin of Goodwin Sports Management, who reps Damian Lillard and DeMar DeRozan.
Here are the top 10 free agents from Forbes, along with their agent and who I predict will be the first/only one to break the news.
Player Agent Most Likely Reporter
Anthony Davis Rich Paul Too close to call, leaning Shams
Brandon Ingram Jeff Schwartz Woj
DeMar DeRozan Aaron Goodwin Haynes
Fred VanVleet Brian Jungreis Limited data
Andre Drummond Jeff Schwartz Woj
Montrezl Harrell Rich Paul Too close to call, leaning Shams
Gordon Hayward Mark Bartelstein Woj
Danilo Gallinari Michael Tellem Woj
Bogdan Bogdanovic Alexander Raskovic, Jason Ranne Limited data, but part of Wasserman, whose players are predominantly reported on by Woj
Davis Bertans Arturs Kalnitis Limited data
Thanks for reading! As always with this type of work, human error is not completely eliminated. If you think a tweet was mistakenly removed, feel free to drop me a line and I’ll try to explain my thought process on that specific tweet! Hope y’all enjoyed the research!
submitted by cilantro_samosa to nba [link] [comments]

Extortion Scam

Extortion Scam

Received this today. It was not marked as spam. I marked it after the fact. I've included the redacted full header. As for the actual message, most of it was included in two png image files named "mypjx.png" and "duug.png"
The only text in the message body was the stolen password and the bitcoin address. The demand was for $1400. Regarding the threat, I don't have a webcam connected to my computer.
_______________________________________________________________________________
Corene Hayward [email protected] myname : password To: [email protected] < [email protected] > X-Notascii: charset=utf-8 Thread-Index: AQHVGtLh6PD9N6E32Eey0UoFb2TKnQ== X-Langguess: Danish, Wrong X-Ms-Exchange-Crosstenant-Id: 84df9e7f-e9f6-40af-b435-aaaaaaaaaaaa X-Encryption: SSL encrypted X-Microsoft-Antispam-Message-Info: DJbaAtc3ZCwDJkSYpgVquiMhfdt1r1qoQwF+3ZUQUpGodE7S//Mqv1+tSyNqs+rk9dAJ1b4tElmVDS38yF2XtRG7L1OTohQMu7BW+oKnh4BucC9q70QhVs1vEiOGnVZCpIW5f4nmzEmcBrgd7RV33gvWOuk/x8OtvaU6w+3bqrCsFYOGP+/zYkRpBl7LGnIW X-Ms-Exchange-Crosstenant-Originalarrivaltime: 04 Jun 2019 12:41:50.4882 (UTC) X-Ms-Exchange-Crosstenant-Network-Message-Id: b148e8ac-04dd-43d7-9d07-08d6e8ea0079 Status: U X-Ms-Exchange-Messagesentrepresentingtype: 1 X-Myrbl: Color=Yellow (from rbl) ip=40.92.255.49 X-Verify-Smtp: Host 40.92.255.49 sending to us was not listening Authentication-Results: myserviceprovider.com header.from=[email protected]; dkim=pass (good signature) Content-Language: en-US X-Spamdetect: *********: 9.1 sd=9.1 lv=0.00 nok=1/0 m=1 nf=0 Close 0.96(X-LangGuess:Wrong) 0.10(X-myrbl:Color=yellow) 0.90(X-Phrase:isspam) 0.85(X-Verify-SMTP present) 0.26(Suspicious proportion of ) 0.74(X-Verify-Helo:-ERR) 0.28(dnswl_none) 0.71(yellow_noinfo) 0.37(genuine) 0.37(dkimok) 0.39(spfpass) 0.40(StandardTLD) 0.60(X-Verify-Helo:wrongip) Saned 5.0 Conflict3 5.0 9.1 Sval 11.0 bsan 5.0 Moved 5.0->9.1 Sval 11.0 Dkim-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=outlook.com; s=selector1; h=From:Date:Subject:Message-ID:Content-Type:MIME-Version:X-MS-Exchange-SenderADCheck; bh=r+TerFYKaoHs3Vwvg3LG5JBseQE5JHKnp/Tn9mHCcQ0=; b=b3U47G353A6NzDL4m3bTd7Wm8QACyb5sRHGKdJ1/MZ8K48JNKMkgFAqpeeC9P0xb5u3F5NJGvGJ4gQPy+aRIoMsw2b8BAiLTifrbYLhAMPJVlvkBgiAjjKG0IO7PT3yLvG2GbppkcmacH1AfPIwM+umP9PBwD7VRowJ7JU3PkITliTVLzCC8i5Rc0OUhNpkEB4jgRAzF18T/liHiUU3zEZrj16ajcARKKQ89HALT6Liqzr65rQFZLifUYvvzCUlZ7CXWpnxIuIvCy7m5NpkXbjxyAmAGgirDBw1O9zpaYTARHsHQW1x9YizCXS43qqIL5El54bzrbLqB5OTwhKYfpw== Return-Path: [email protected] X-Ms-Tnef-Correlator: X-Rcpt-To: < [email protected] > Received-Spf: pass (Last token {include:spf.protection.outlook.com} (res=PASS)) client-ip=40.92.255.49; envelope-from=[email protected]; x-ip-name=mail-oln040092255049.outbound.protection.outlook_com; X-Ms-Traffictypediagnostic: PU1APC01HT107: X-Phrase: IsSpam score=1.00 X-Ms-Exchange-Crosstenant-Rms-Persistedconsumerorg: 00000000-0000-0000-0000-000000000000 X-Ms-Exchange-Crosstenant-Rms-Persistedconsumerorg: 00000000-0000-0000-0000-000000000000 X-Tmn: [i0cEURVZL0Yx+eR41W7QFWAWRpPYih1p] Thread-Topic: myname : password Content-Type: multipart/related; boundary="_005_PS1PR03MB4777BFB896ABD283437F5DADA1150PS1PR03MB4777apcp_"; type="multipart/alternative" X-Probe: +OK no bad urls to scan X-Verify-Helo: -ERR wrongip: APC01-HK2-obe.outbound.protection.outlook.com -> 104.47.*.* not in 40.92.255.49 X-Ms-Exchange-Transport-Crosstenantheadersstamped: PU1APC01HT107 X-Clientproxiedby: AM4PR05CA0032.eurprd05.prod.outlook.com (2603:10a6:205::45) To PS1PR03MB4777.apcprd03.prod.outlook.com (2603:1096:300:85::16) X-Spam-Flag: Yes X-Incomingheadercount: 46 X-Uidl: 108078 X-Incomingtopheadermarker: OriginalChecksum:17BC644C4F800A3EC6FE785588FD3C658E240DBCF83BC610B0E23AE290B4F4AC;UpperCasedChecksum:54AFBA83103FBF4466714B38F948C6FD9EB51035BDE46303232E5BFB6252A822;SizeAsReceived:7097;Count:46 X-Orbs-Accept: dnswl_none X-Ms-Exchange-Crosstenant-Fromentityheader: Internet X-Originatororg: outlook.com X-Microsoft-Antispam: BCL:0;PCL:0;RULEID:(2390118)(5050001)(7020095)(20181119110)(201702061078)(5061506573)(5061507331)(1603103135)(2017031320274)(2017031322404)(2017031323274)(2017031324274)(1601125500)(1603101475)(1701031045);SRVR:PU1APC01HT107; X-Originating-Ip: 40.92.255.49 X-Eopattributedmessage: 0 Received: from APC01-HK2-obe.outbound.protection.outlook.com (unverified [40.92.255.49]) by mail.myserviceprovider.com (SurgeMail 7.3p) with ESMTP (TLS) id 96580551-1719116 for < [email protected] >; Tue, 04 Jun 2019 05:42:00 -0700 Received: from PU1APC01FT058.eop-APC01.prod.protection.outlook.com (10.152.252.54) by PU1APC01HT107.eop-APC01.prod.protection.outlook.com (10.152.253.38) with Microsoft SMTP Server (version=TLS1_2, cipher=TLS_ECDHE_RSA_WITH_AES_256_CBC_SHA384) id 15.20.1943.19; Tue, 4 Jun 2019 12:41:50 +0000 Received: from PS1PR03MB4777.apcprd03.prod.outlook.com (10.152.252.51) by PU1APC01FT058.mail.protection.outlook.com (10.152.253.17) with Microsoft SMTP Server (version=TLS1_2, cipher=TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384) id 15.20.1943.19 via Frontend Transport; Tue, 4 Jun 2019 12:41:50 +0000 Received: from PS1PR03MB4777.apcprd03.prod.outlook.com ([fe80::d1fd:c2c0:3b98:38a3]) by PS1PR03MB4777.apcprd03.prod.outlook.com ([fe80::d1fd:c2c0:3b98:38a3%5]) with mapi id 15.20.1965.011; Tue, 4 Jun 2019 12:41:50 +0000 Message-Id: [email protected]od.outlook.com Accept-Language: en-US Mime-Version: 1.0 X-Ms-Publictraffictype: Email X-Country: code=HK country="Hong Kong" ip=40.92.255.49 X-Ip-Stats: No info recorded yet ip=40.92.255.49 X-Ms-Has-Attach: yes X-Microsoft-Original-Message-Id: [email protected]
___________________________________ end of header ___________________________________

xxxxxx (<<< actual text of a password I have used)
extortion text image (mypjx.png)
1F85K33ENKaZRtEfiyHDkr9kpHvLbJeYM4 (<<< only other actual text in message)
extortion text image (duug.png)
submitted by brainfarts51 to Scams [link] [comments]

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