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James Perloff ✓

@jameseperloff · joined 20 Sep 2014

See books in pinned Tweet. As this account shadow-banned, follow me also @jamesperloff2 Gab https://t.co/UAT4NVTSQP YouTube @JamesPerloff1 and website.

25 607Followers
773Following
41 216Posts total
25.2KViews on collected posts

โพสต์ล่าสุด

9/11 Predictive Programming No. 1. Jetliner crashes into skyscraper in “The Medusa Touch” (1978). The film’s executive producer was Arnon Milchan, who, as has been widely documented, was an Israeli spy and Mossad asset. https://t.co/xFCIkfYlP7 947 views · 13 likes · 2 reposts · 0 replies Open on X →
9/11 Predictive Programming No. 2. Supertramp cover reversed (1979): https://t.co/2wri823oPm
354 views · 8 likes · 1 reposts · 0 replies Open on X →
9/11 Predictive Programming No. 3. In “Wrong is Right” (1982), the CIA plants 2 suitcase nukes at the World Trade Center. A Middle East terrorist is blamed as a pretext for war. The nukes are disarmed at 9:59 AM, the exact time South Tower exploded on 9/11 https://t.co/8zECgc3SjF 348 views · 8 likes · 1 reposts · 0 replies Open on X →
9/11 Predictive Programming No. 4. Expose of INNUMERABLE 9/11 predictions in “Back to the Future” (1985) and its sequel (1989). Most memorable may be the Twin Towers seeming to collapse in “Back to the Future II.” Over 5 million views. https://t.co/u0ctkQx33m 319 views · 5 likes · 1 reposts · 0 replies Open on X →
@jameseperloff https://t.co/Nwe5cVxuvk You are not alone Mr. Perloff. 12 views · 1 likes · 0 reposts · 0 replies Open on X →
@jameseperloff Mr. Perloff, Have you had the time to watch this new documentary? https://t.co/Z1GY9OaDKM It's a must see with a whole lot of never seen before resources, 32 views · 1 likes · 1 reposts · 0 replies Open on X →
@jameseperloff Please follow me 🇵🇸 77 views · 2 likes · 0 reposts · 0 replies Open on X →
My books: BRAND-NEW (July 2024): Exploding the Official Myths of the Lincoln Assassination. Sold at https://t.co/wdvKkipnKO Previous books: The Shadows of Power (1988), History of the Council on Foreign Relations. Now overpriced on Amazon. Cheapest at publisher. https://t.co/J
23.1K views · 170 likes · 57 reposts · 17 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

4 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม เข้าถึงคนน้อยกว่าบัญชีรุ่นเดียวกัน แต่ดึงการมีส่วนร่วมได้แรงกว่ามาก.

ยอดดูมัธยฐาน351บัญชีนี้972ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %1.37%บัญชีนี้3.80%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %2.21%บัญชีนี้1.53%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์3519720.36×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)1.37%3.80%0.36×
อัตราการมีส่วนร่วม2.21%1.53%1.45×

บัญชีอื่นในช่วงนี้ →   เปรียบเทียบกับบัญชีอื่น →   ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

23.1K8 Jul
775 Nov
3222 Jan
1229 Mar
31911 Sep
348
354
947

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.08%8 Jul
2.60%5 Nov
6.25%22 Jan
8.33%29 Mar
1.88%11 Sep
2.59%
2.54%
1.69%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.53%.

What the audience does

Likes61.4%208 in total
Reposts18.6%63 in total
Replies5.0%17 in total
Quotes1.8%6 in total
Bookmarks13.3%45 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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