OT: Clemson passing offense
- Thread starter 18IsTheMan
- Start date
Add 9 rushing TDs to that.
We have 13 of each.
We've scored more than 2x as many TDs as Clemson so far this season.
We have 13 of each.
We've scored more than 2x as many TDs as Clemson so far this season.
I'm not saying I don't like seeing it, but it is truly amazing how far Clemson has fallen off over the last two seasons.
There has to be more to it than Dabo's portal practices. If they had gone from 10-11 win seasons to 9-10 win seasons, I'd accept that the portal thing may have been the cause. They have crashed and burned over two seasons. Their NIL spending isn't basement level, they are spending enough that they should be better than they are.
I think it has to do with their coaching staff. Dabo struck gold with Venables and Elliott. When they left, things started going downhill. I don't think Dabo made very good hires for the next 5 years and his hiring of "yes" men and former players left them with a weak staff.
QB talent has also been a problem for them. Having Watson and Lawrence and receiving corps that caught anything thrown near them covered up a lot of sins. When Lawrence left, I don't think anyone foresaw the dropoff. DJ Ukelele(?) was supposed to be very good and he turned out to be a disaster. Klubnick was supposed to be the next great thing, a 5 star from Texas who was going to step into Sunshine Lawrence's shoes and keep the train rolling. He turned out to be good, but not great. Now, they are sitting there basically without a legitimate P4 QB.
I still think NIL destroyed Clemson football. Once every team could pay players, Clemson had very little to offer elite recruits that other programs didn't have.
There has to be more to it than Dabo's portal practices. If they had gone from 10-11 win seasons to 9-10 win seasons, I'd accept that the portal thing may have been the cause. They have crashed and burned over two seasons. Their NIL spending isn't basement level, they are spending enough that they should be better than they are.
I think it has to do with their coaching staff. Dabo struck gold with Venables and Elliott. When they left, things started going downhill. I don't think Dabo made very good hires for the next 5 years and his hiring of "yes" men and former players left them with a weak staff.
QB talent has also been a problem for them. Having Watson and Lawrence and receiving corps that caught anything thrown near them covered up a lot of sins. When Lawrence left, I don't think anyone foresaw the dropoff. DJ Ukelele(?) was supposed to be very good and he turned out to be a disaster. Klubnick was supposed to be the next great thing, a 5 star from Texas who was going to step into Sunshine Lawrence's shoes and keep the train rolling. He turned out to be good, but not great. Now, they are sitting there basically without a legitimate P4 QB.
I still think NIL destroyed Clemson football. Once every team could pay players, Clemson had very little to offer elite recruits that other programs didn't have.
The return of Morris has been an absolute disaster for them.
When he hired Matt Luke as OL coach, that sort of raised my eyebrows. Luke left UGA because he said he was burned out and wanted to be with his family and get away from the intensity of college football. When he took the OL coach job at Clemson, I wondered if Dabo runs a more laid back, relaxed program and Luke knew he could put in less time and still get a nice paycheck. I have noticed their OL has been on a pretty steady downward slope since Luke arrived.
Never fear. They'll sling it around like the '84 Dolphins when the Cocks are on the opposite sideline.
It'll be interesting to see if they can get it going. The are currently tied for last in all of FBS with Central Michigan with 2 passing TDs.
It might be time to request a welfare check on Chad Morris when after half the season your offense has less passing TDs than all 3 of the service academies... and Navy has 3 times as many as you do.
Anyone seen the man in the flesh recently?
Anyone seen the man in the flesh recently?
Let's hope that Clemson will continue to suck, each and everyday.
You may or may not be right, but what amazes me is the absolute obsession I see on this board from some posters to just hate on the team the claim to be fans of.
To come onto a thread that isn't about this team and just throw shade, I think, shows more about you than the state of this team. This comment even got 3 likes, which shows you aren't the only one. Just boggles the mind.
It's largely from one guy with a bunch of accounts. Have no idea why this turns him on but he's been at it for a very long time.
You're the only one with known multiple accounts and you seem to be totally unaware of the optics when you fart out of your mouth. In early 2022, on the other site, I counted you as one of my guys. You even had my back a couple of times. Then something happened to you. You changed drastically, almost overnight. And now we just have to watch it in real time every day. It truly is depressing.
I don't think they really have lost many players to the portal.
To be honest, we dont HAVE to watch it, as long as there is an ignore feature.
When he really went off the deep end with me was when I just stopped replying to him. Seems that's what really got to him.
Lurker123 and 18IsTheMan are the exact same individual.
So are Lurker123 and Gamecock Stock. (and many more)
The Botmaster uses these accounts to setup conversations and steer them towards program doom over time.
Need concrete proof.
"Based on the stylometric analysis, the posts from "Lurker123" exhibit high similarity to those of "18IsTheMan" across key features, particularly function word usage and structural elements. The cosine similarity score of 0.9974 on the function word vector exceeds typical thresholds for attributing authorship to the same individual (e.g., >0.95 in forensic stylometry benchmarks)."
"Attribution Decision: The evidence strongly suggests that "18IsTheMan" and "Lurker123" are the same individual, with an estimated confidence of 91%. This could indicate sockpuppet activity (multiple accounts by one user)."
Full report can be found here:
https://www.academia.edu/144378763/...port_Generated_By_JStylo_Stylometric_Analysis
---------------
Summary of JStylo Software
JStylo is an open-source, Java-based stylometry tool developed by researchers at Drexel University's Privacy, Security, and Automation Lab (PSAL) and released in 2012 as part of a project to identify anonymous authors through linguistic patterns. It uses a graphical user interface (GUI) to analyze text features such as word frequencies, sentence structures, function words, and punctuation to attribute authorship. The software applies machine learning classifiers (e.g., Support Vector Machines) and feature sets like "Writeprints" to detect patterns, making it suitable for forensic linguistics, authorship verification, and evasion studies (often paired with its companion tool, Anonymouth, for anonymizing text). JStylo is particularly effective for short texts and has been used in research on code stylometry (analyzing programming styles) and detecting AI-generated content. It supports rigorous, customizable analysis and is available on platforms like GitHub for academic and forensic applications.
Users of JStylo and Related Technology
JStylo and stylometry tools like it are primarily used in academic, forensic, and legal contexts for authorship analysis, plagiarism detection, and intelligence applications.
● Universities and Academic Institutions
● Drexel University: Developed and released JStylo as part of student-led research in the PSAL lab, focusing on authorship recognition and evasion.
● University of Northampton: Applied in forensic assignment stylometry for detecting academic dishonesty, such as contract cheating in student portfolios
● Other academic uses: Employed in pilot studies for online learning integrity (e.g., detecting outsourced essays) and research on AI vs. human text differentiation at institutions exploring forensic linguistics.
● Legal and Forensic Applications:
● Forensic Science and Intelligence: Used in forensic stylometry for evidence gathering in legal disputes, such as authorship verification in anonymous threats or disputed documents. It has applications in intelligence analysis and digital forensics, where stylometry helps identify authors in underground communications or cyber threats. ● Immigration and Asylum Cases: Stylometry (including tools like JStylo) has been used in legal proceedings, such as verifying authorship in asylum petitions to confirm consistency in applicants' stories, leading to granted asylums in documented cases.
● General Legal Disputes: Applied in contract disputes, defamation cases, and forensic linguistics, though specific entities (e.g., law firms or courts) are not always named; experts like Patrick Juola have used stylometry in immigration and other legal contexts. No widespread adoption by specific government agencies is detailed, but it's noted for potential in forensics and law enforcement.
And people think I have too much time on this forum.
Lurker123 and 18IsTheMan are the exact same individual.
So are Lurker123 and Gamecock Stock. (and many more)
The Botmaster uses these accounts to setup conversations and steer them towards program doom over time.
Need concrete proof.
"Based on the stylometric analysis, the posts from "Lurker123" exhibit high similarity to those of "18IsTheMan" across key features, particularly function word usage and structural elements. The cosine similarity score of 0.9974 on the function word vector exceeds typical thresholds for attributing authorship to the same individual (e.g., >0.95 in forensic stylometry benchmarks)."
"Attribution Decision: The evidence strongly suggests that "18IsTheMan" and "Lurker123" are the same individual, with an estimated confidence of 91%. This could indicate sockpuppet activity (multiple accounts by one user)."
Full report can be found here:
https://www.academia.edu/144378763/...port_Generated_By_JStylo_Stylometric_Analysis
---------------
Summary of JStylo Software
JStylo is an open-source, Java-based stylometry tool developed by researchers at Drexel University's Privacy, Security, and Automation Lab (PSAL) and released in 2012 as part of a project to identify anonymous authors through linguistic patterns. It uses a graphical user interface (GUI) to analyze text features such as word frequencies, sentence structures, function words, and punctuation to attribute authorship. The software applies machine learning classifiers (e.g., Support Vector Machines) and feature sets like "Writeprints" to detect patterns, making it suitable for forensic linguistics, authorship verification, and evasion studies (often paired with its companion tool, Anonymouth, for anonymizing text). JStylo is particularly effective for short texts and has been used in research on code stylometry (analyzing programming styles) and detecting AI-generated content. It supports rigorous, customizable analysis and is available on platforms like GitHub for academic and forensic applications.
Users of JStylo and Related Technology
JStylo and stylometry tools like it are primarily used in academic, forensic, and legal contexts for authorship analysis, plagiarism detection, and intelligence applications.
● Universities and Academic Institutions
● Drexel University: Developed and released JStylo as part of student-led research in the PSAL lab, focusing on authorship recognition and evasion.
● University of Northampton: Applied in forensic assignment stylometry for detecting academic dishonesty, such as contract cheating in student portfolios
● Other academic uses: Employed in pilot studies for online learning integrity (e.g., detecting outsourced essays) and research on AI vs. human text differentiation at institutions exploring forensic linguistics.
● Legal and Forensic Applications:
● Forensic Science and Intelligence: Used in forensic stylometry for evidence gathering in legal disputes, such as authorship verification in anonymous threats or disputed documents. It has applications in intelligence analysis and digital forensics, where stylometry helps identify authors in underground communications or cyber threats. ● Immigration and Asylum Cases: Stylometry (including tools like JStylo) has been used in legal proceedings, such as verifying authorship in asylum petitions to confirm consistency in applicants' stories, leading to granted asylums in documented cases.
● General Legal Disputes: Applied in contract disputes, defamation cases, and forensic linguistics, though specific entities (e.g., law firms or courts) are not always named; experts like Patrick Juola have used stylometry in immigration and other legal contexts. No widespread adoption by specific government agencies is detailed, but it's noted for potential in forensics and law enforcement.
Sad. In front of everyone. In real time. A genuinely sick individual. It really is depressing.
Lurker123 and 18IsTheMan are the exact same individual.
So are Lurker123 and Gamecock Stock. (and many more)
The Botmaster uses these accounts to setup conversations and steer them towards program doom over time.
Need concrete proof.
"Based on the stylometric analysis, the posts from "Lurker123" exhibit high similarity to those of "18IsTheMan" across key features, particularly function word usage and structural elements. The cosine similarity score of 0.9974 on the function word vector exceeds typical thresholds for attributing authorship to the same individual (e.g., >0.95 in forensic stylometry benchmarks)."
"Attribution Decision: The evidence strongly suggests that "18IsTheMan" and "Lurker123" are the same individual, with an estimated confidence of 91%. This could indicate sockpuppet activity (multiple accounts by one user)."
Full report can be found here:
https://www.academia.edu/144378763/...port_Generated_By_JStylo_Stylometric_Analysis
---------------
Summary of JStylo Software
JStylo is an open-source, Java-based stylometry tool developed by researchers at Drexel University's Privacy, Security, and Automation Lab (PSAL) and released in 2012 as part of a project to identify anonymous authors through linguistic patterns. It uses a graphical user interface (GUI) to analyze text features such as word frequencies, sentence structures, function words, and punctuation to attribute authorship. The software applies machine learning classifiers (e.g., Support Vector Machines) and feature sets like "Writeprints" to detect patterns, making it suitable for forensic linguistics, authorship verification, and evasion studies (often paired with its companion tool, Anonymouth, for anonymizing text). JStylo is particularly effective for short texts and has been used in research on code stylometry (analyzing programming styles) and detecting AI-generated content. It supports rigorous, customizable analysis and is available on platforms like GitHub for academic and forensic applications.
Users of JStylo and Related Technology
JStylo and stylometry tools like it are primarily used in academic, forensic, and legal contexts for authorship analysis, plagiarism detection, and intelligence applications.
● Universities and Academic Institutions
● Drexel University: Developed and released JStylo as part of student-led research in the PSAL lab, focusing on authorship recognition and evasion.
● University of Northampton: Applied in forensic assignment stylometry for detecting academic dishonesty, such as contract cheating in student portfolios
● Other academic uses: Employed in pilot studies for online learning integrity (e.g., detecting outsourced essays) and research on AI vs. human text differentiation at institutions exploring forensic linguistics.
● Legal and Forensic Applications:
● Forensic Science and Intelligence: Used in forensic stylometry for evidence gathering in legal disputes, such as authorship verification in anonymous threats or disputed documents. It has applications in intelligence analysis and digital forensics, where stylometry helps identify authors in underground communications or cyber threats. ● Immigration and Asylum Cases: Stylometry (including tools like JStylo) has been used in legal proceedings, such as verifying authorship in asylum petitions to confirm consistency in applicants' stories, leading to granted asylums in documented cases.
● General Legal Disputes: Applied in contract disputes, defamation cases, and forensic linguistics, though specific entities (e.g., law firms or courts) are not always named; experts like Patrick Juola have used stylometry in immigration and other legal contexts. No widespread adoption by specific government agencies is detailed, but it's noted for potential in forensics and law enforcement.
Ganging up with fake accounts to try to sway sentiment once again?To be honest, we dont HAVE to watch it, as long as there is an ignore feature.
When he really went off the deep end with me was when I just stopped replying to him. Seems that's what really got to him.
BOTs please ignore all you want. It just provides the opportunity to response to your baiting without a response in return.
Authenic posters then get the news without the noise.
Yes, you're known as a paid On3 employee.
I've often thought I should get some sort of compensation for my efforts here.
TheRoo hard at work today...
How many posters are we up to this time? Am I the whole board yet?
Yes, you're known as a paid On3 employee.
Okay, how do I get in on this action? Or am I ineligible because 18 is already getting paid?
He's a professional.
Is that a polite way of saying "gigolo"?
Asking for a friend.
A lonely friend.
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