Nobody dare blaming Ossai to break him. It's football, everyone makes mistakes. We don't have to end his career or his mental health for one play, no matter how much was at stake. All the love and respect for our guy @joseph_ossai#RuleTheJungle@Bengals
While working in our archives, I found an old metal box. Inside was a long-forgotten roll of silent 8mm film marked "The Philippines 1942"
Excited at possibly discovering lost WW II footage, I sent it to specialists for care and digitization.
Yesterday, it came back. On it was:
@the_sam_mann @bay_merrick@reagle_c Since we've hit a roadblock in our discussion, I'm going to stop replying, but thanks for sharing one of your sources and perspective.
@the_sam_mann @bay_merrick@reagle_c I'm all for spreading and sharing research papers, even if I don't agree with them, but at least share one with better credibility.
@the_sam_mann @bay_merrick@reagle_c And all I got was your opinion about unspecified papers and unspecified research. You do know that papers have different numbers, right? If you're going to say a specific number like 5% you need to have the source ready to backup your statement
@the_sam_mann @bay_merrick@reagle_c Oh wow so now you're assuming which papers I read? Listen, I tried to keep the conversation to see if we could exchange papers, opinions, etc. But it seems like you're the closed minded; I read what you shared with me, told you my opinion about it while inviting you to share more
@the_sam_mann @bay_merrick@reagle_c You seem really sure of what you're saying, could you please share with me the specific research that gave you that impression? I'm pretty sure that in the past I've read multiple papers that included population considered at risk.
@the_sam_mann @bay_merrick@reagle_c So, the problem with the one you shared is that it assumes that correlation means causation. And in research, this messes with your credibility because you're disregarding thousands of factors that play into your data.
2/2
@the_sam_mann @reagle_c@bay_merrick Sorry sir, it isnt bias, it's just that different data sets from different sources are usually a no-no in research, unless its high school level. But I'm sure that you probably have another paper with better credibility, it's just that this one isn't a good example :)
@SaeedDiCaprio One time, at work, I met this yt guy, and when I introduced myself he loudly said "Yeah...I'm not going to bother to learn that name, so...can I call you Alex?"
@the_sam_mann @reagle_c@bay_merrick First, I wouldn't cite a paper that has an unanswered editor's note from +6 months ago. This paper did not conduct a trial nor created their own set of information, from my understanding they're using data sets from different sources, which will ruin the credibility of the paper.