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Press Briefing: Peter Navarro Speaks to Reporters Outside the White House - October 6, 2026

StressLens
1 Topic
10 Entities
Moderation
1 Speaker

StressLens Over Time

Entities
bunch
entities
equipment
factories
manufacturing jobs
order
productivity
some
stuff
thing
Moderation
No moderation found
Speakers
Peter Navarro
Peter Navarro said 17 sentences of a total of 17 sentences.
100%
Peter Navarro said 304 words of a total of 304 words.
100%
Peter Navarro talked 123 seconds of a total of 123 seconds.
100%
Full Transcript

Note

00:00:00-00:00:00 ( sec)
[Video begins in progress]
Sentiment
Readability
Flesch-Kincaid Grade
Flesch-Kincaid Ease
Gunning-Fog Score
Coleman-Liau Index
SMOG Index
Automated Readability Index
Dale-Chall Readability Score
Sprache Readability Score
Dale-Chall Difficult Word Score
Sprache Difficult Word Count

Peter Navarro

00:00:00-00:00:31 (31 sec)
[In progress] -- in a bunch of factories, and to do that, we have to import some of this foreign equipment in order to do that. And, and that's the seed corn down the road of manufacturing jobs, higher wages, productivity, and, yes, a much lower trade deficit. So, that's the good thing. At the same time, the stuff we don't want to be buying, the foreign consumer goods, which are highly-subsidized by countries like China, that's going down.
Sentiment
Topics
Topic:
Economy, Business and Finance > Economy
Score:
0.574
Code:
20000344
Url:
https://cv.iptc.org/newscodes/mediatopic/20000344
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Media
Readability
Flesch-Kincaid Grade
8.2
Flesch-Kincaid Ease
70.8
Gunning-Fog Score
11.3
Coleman-Liau Index
9.4
SMOG Index
10.8
Automated Readability Index
8.3
Dale-Chall Readability Score
3.8
Sprache Readability Score
4.6
Dale-Chall Difficult Word Score
14
Sprache Difficult Word Count
20

Peter Navarro

00:00:31-00:01:00 (29 sec)
And we're seeing in the data, today, that the trade deficit with China, India, Japan, uh, and the European Union, all entities which cheat the hell out of us, that's going down. So, that's good news. Uh, the one thing I wanna flag for you in the data is we're seeing, uh, our deficit go up with a certain, certain amount of countries, uh, that include Vietnam, Malaysia, Thailand, Mexico.
Sentiment
Topics
Topic:
Science and Technology > Social Sciences > Economics
Score:
0.536
Code:
20000745
Url:
https://cv.iptc.org/newscodes/mediatopic/20000745
Wikidata_id:
Q8134
Wikidata_label:
economics
Source:
IPTC Media
Topic:
Economy, Business and Finance > Economy
Score:
0.508
Code:
20000344
Url:
https://cv.iptc.org/newscodes/mediatopic/20000344
Wikidata_id:
Q159810
Wikidata_label:
economy
Source:
IPTC Media
Readability
Flesch-Kincaid Grade
10.7
Flesch-Kincaid Ease
59.9
Gunning-Fog Score
12.2
Coleman-Liau Index
8.9
SMOG Index
12
Automated Readability Index
10
Dale-Chall Readability Score
5.7
Sprache Readability Score
5
Dale-Chall Difficult Word Score
20
Sprache Difficult Word Count
23

Peter Navarro

00:01:00-00:01:25 (25 sec)
Um, there's a report that I call the Great Transshipment Scam, uh, that's up on, uh, the White House site, and my site, peternavarro.com. It describes how China, to evade the tariffs, goes around to get into America, and they go through countries like Vietnam, Thailand, and Mexico. And we're cracking down on that great transshipment scam.
Sentiment
Readability
Flesch-Kincaid Grade
6.7
Flesch-Kincaid Ease
72.5
Gunning-Fog Score
7.2
Coleman-Liau Index
11.1
SMOG Index
9.7
Automated Readability Index
7.3
Dale-Chall Readability Score
5.9
Sprache Readability Score
4
Dale-Chall Difficult Word Score
19
Sprache Difficult Word Count
19

Peter Navarro

00:01:25-00:01:53 (29 sec)
So, we're, we're kind of handling, um, that aspect of it. But, the, but we're also seeing South Korea, in particular, I wanna call them out today, because they are inundating this country, um, with highly-subsidized steel by their country, and transship steel with China. Um, even though we have very high tariffs, 50% on steel, they're blowing past that, because they cheat, um, and we're gonna be doing something about that.
Sentiment
Readability
Flesch-Kincaid Grade
10.5
Flesch-Kincaid Ease
62.8
Gunning-Fog Score
12.5
Coleman-Liau Index
10.4
SMOG Index
10.6
Automated Readability Index
11.7
Dale-Chall Readability Score
4.9
Sprache Readability Score
5
Dale-Chall Difficult Word Score
17
Sprache Difficult Word Count
21

Peter Navarro

00:01:53-00:02:03 (9 sec)
So, all-in-all, pretty good, um, report today when you look, uh, beneath the surface. Uh, and that's all I got for you. Thank you.
Sentiment
Readability
Flesch-Kincaid Grade
1.9
Flesch-Kincaid Ease
97.2
Gunning-Fog Score
3.5
Coleman-Liau Index
5.5
SMOG Index
3.3
Automated Readability Index
0
Dale-Chall Readability Score
2.3
Sprache Readability Score
2.1
Dale-Chall Difficult Word Score
3
Sprache Difficult Word Count
5