Podcast hosts and misinformation researcher Mike Rothschild critically analyze the conspiracy theories and online harassment tactics of Jim Stewartson. | Kinexis.AI
This report provides a probabilistic, AI-generated analysis. It may contain errors and should not be relied on as the sole basis for legal, employment, medical, or safety-critical decisions.
Podcast hosts and misinformation researcher Mike Rothschild critically analyze the conspiracy theories and online harassment tactics of Jim Stewartson.
High Risk
Multiple manipulation or incongruence signals were detected in this content.
At a Glance
This recording is an episode of the 'Posting Through It' podcast, featuring hosts Jared Holt, Jay McKenzie, Griff Sombke, and guest Mike Rothschild. The discussion centers on the online behavior and claims of Jim Stewartson, a self-proclaimed anti-disinformation activist who the hosts argue promotes elaborate, unevidenced conspiracy theories. The hosts and guest critically analyze Stewartson's tendency to label his critics as 'controlled opposition' and discuss the broader psychological drivers behind left-wing conspiracy theories.
Throughout the episode, the speakers emphasize the importance of the burden of proof and the necessity of pushing back against toxic online behavior. They draw parallels between the psychological mechanisms driving QAnon and those driving left-leaning conspiracy narratives, noting that the desire for simple answers and retribution is a universal vulnerability. The recording includes pre-recorded audio clips of Stewartson, which the hosts use to illustrate his confrontational rhetoric and persecution narrative.
Key Findings
Audio quality changes as a pre-recorded clip of a different speaker is played.
S5Audio Events
Outro music begins playing to signal the end of the episode.
NoneAudio Events
Jared Holt begins laughing uncontrollably while attempting to read a quote from Jim Stewartson.
S1Audio Events
Signal Intelligence
Behavioral events over time
Authenticity
Authenticity assessment unavailable for this analysis.
Speaker Signals
Emotional Arc
Emotional trajectory data unavailable.
IO Assessment
Jared Holt / Mike Rothschild
host / guest
Griff Sombke / Jay McKenzie / Jared Holt
host / co-host
Jay McKenzie / Mike Rothschild / Griff Sombke
host / guest
Jim Stewartson / Griff Sombke / Mike Rothschild
subject / co-host / guest
Jim Stewartson
audio clip subject
Signal Intelligence
Behavioral events over time
Audio Event Timeline
Hover a marker for details · Click to jump to event row
⚠ Influence Signals Detected
·
S3 · 95%RHETORICAL PEAK
Sarcastic banter between hosts regarding Jared Holt working for Mike Flynn.
S4 · 90%VOCAL STRESS
Audio clip of Jim Stewartson speaking intensely and using profanity.
S1 · 98%EMOTIONAL SHIFT
Jared Holt begins laughing uncontrollably while attempting to read a quote from Jim Stewartson.
S4 · 95%EMOTIONAL SHIFT
Speaker laughs briefly before making a sarcastic comment.
Timestamps copy event data — no player seek available for embedded audio.
Speaker Profiles
S1— Jared Holt / Mike Rothschild(host / guest)
Voice
Accent / Dialect
American · Standard American
Register
conversational
Pace
150 wpm
Pitch
mid-range, expressive, prone to laughter
Credibility Assessment
Specificity
high
Consistency
high
Deception Indicators
Qualifier Inflation
frequent use of 'maybe', 'kind of', 'I guess' in specific segments
Pace Changes
none
Pause Anomalies
none
Influence Tactics
37:20logical framingAsserts the fundamental rule of the burden of proof regarding conspiracy theories.
S2— Griff Sombke / Jay McKenzie / Jared Holt(host / co-host)
Voice
Accent / Dialect
American · Standard American
Register
conversational
Pace
145 wpm
Pitch
steady, supportive
Credibility Assessment
Specificity
high
Consistency
high
Deception Indicators
Qualifier Inflation
none
Pace Changes
none
Pause Anomalies
none
S3— Jay McKenzie / Mike Rothschild / Griff Sombke(host / guest)
Voice
Accent / Dialect
American · Standard American
Register
conversational
Pace
155 wpm
Pitch
confident, steady
Credibility Assessment
Specificity
high
Consistency
high
Deception Indicators
Qualifier Inflation
none
Pace Changes
none
Pause Anomalies
none
Influence Tactics
12:23mockerySarcastic banter regarding the subject's claims.
25:21mockeryUses heavy sarcasm to mock the subject's claims.
46:40analytical framingProvides a psychological explanation for why people are susceptible to conspiracy theories.
S4— Jim Stewartson / Griff Sombke / Mike Rothschild(subject / co-host / guest)
Voice
Accent / Dialect
American · Standard American
Register
informal to conversational
Pace
145 wpm
Pitch
variable (serious/emphatic to animated/humorous)
Credibility Assessment
Specificity
mixed
Consistency
low (due to diarization mixing)
Deception Indicators
Qualifier Inflation
none
Pace Changes
none
Pause Anomalies
none
S5— Jim Stewartson(audio clip subject)
Voice
Accent / Dialect
North American · Standard American
Register
confrontational
Pace
165 wpm
Pitch
elevated, intense
Credibility Assessment
Specificity
low
Consistency
moderate
Deception Indicators
Qualifier Inflation
none
Pace Changes
rapid delivery
Pause Anomalies
none
Influence Tactics
46:46repetition/assertionEmphasizes the public nature of alleged lies with repetitive phrasing.
Propaganda Tactics
controlled opposition labeling
guilt by association
persecution narrative
mockery
debunking
—
No confidence score
The audio exhibits natural conversational dynamics, including overlapping speech, spontaneous laughter, and consistent acoustic environments typical of a remote podcast recording. Pre-recorded audio clips of the subject are clearly delineated by changes in audio quality and context. There are no acoustic or behavioral indicators of AI generation, voice cloning, or synthetic manipulation.
low
No significant indicatorsNo manipulation detected
The recording is a genuine multi-speaker podcast episode featuring natural human interaction and the playback of authentic pre-recorded audio clips.
Caveats
A mandatory analysis gap exists from 0:00-10:00 due to AI content policy restrictions.
Jared Holt
Senior Research Manager at the Institute for Strategic Dialogue (ISD) and host of the 'Posting Through It' podcast. He hosted the episode discussing Jim Stewartson.
Mike Rothschild
Misinformation researcher, journalist, and author of books including 'The Storm Is Upon Us' and 'Strange People on the Hill' (2026). He was the featured guest on the episode, discussing left-wing conspiracy theories and critiquing Stewartson.
Jim Stewartson
A self-proclaimed anti-disinformation activist who is the subject of the episode. He has been criticized for promoting his own elaborate conspiracy theories (mockingly called 'StewAnon') and was sued for defamation by multiple figures, including Mike Flynn. He claims researchers like Holt and Rothschild are 'controlled opposition.'
Will Sommer
Media reporter for The Washington Post and author of 'Trust the Plan.' He is frequently targeted by Stewartson's claims of a coordinated media cover-up and is mentioned in the video description as part of the group allegedly ganging up on Stewartson.
Jay McKenzie and Griff Sombke
Co-hosts of the 'Did Nothing Wrong' podcast, which collaborated with Jared Holt on this specific episode.
Event Context
The video is episode #186 of the 'Posting Through It' podcast, titled 'StewAnon (with "Did Nothing Wrong", feat. Mike Rothschild),' published on March 20, 2023. Hosted by Jared Holt in collaboration with the 'Did Nothing Wrong' podcast, the episode featured Mike Rothschild discussing 'StewAnon'—a term used to describe the conspiracy theories promoted by Jim Stewartson. The hosts and guest critiqued Stewartson's claims, while Stewartson characterized the episode as a defamatory attack by 'controlled opposition.' A 2026 behavioral analysis of the podcast highlighted its rhetorical strategy in deconstructing conspiratorial framing.
Automated behavioral analysis with expression coding. Video frames, audio, speech content, and temporal patterns are analyzed across multiple modalities.
Expression Coding
Expressions are classified using action unit analysis and mapped to emotion prototypes using probabilistic matching, not deterministic rules.
Expression Taxonomy
The system classifies expressions into 7 basic emotions, 15 compound emotions, and an ambiguous category (23 types total):
Each expression event receives a confidence score from 0.0 to 1.0 based on visibility, duration, context, and cultural fit. Scores reflect model certainty in its classification, not ground truth accuracy.
Incongruence Detection
Speech-expression incongruence is flagged when the detected facial expression contradicts the concurrent verbal content. Incongruence is an indicator for further investigation, not evidence of deception.
Important Disclaimers
This analysis is not a substitute for expert human behavioral analysis.
Automated expression coding has known limitations including sensitivity to lighting, angle, resolution, and occlusion.
Cultural display rules, individual baseline differences, and medical conditions can affect expression patterns.
All findings are indicators and hypotheses, never verdicts. Do not use this report as the sole basis for legal, medical, employment, or safety-critical decisions.
Audio Quality
The diarization pipeline struggled significantly with speaker identification across segments, assigning multiple different identities to the same speaker_id labels. This resulted in merged profiles containing conflicting behavioral data.
Detection Challenges
The presence of pre-recorded audio clips played within the podcast complicates continuous speaker tracking and behavioral baselining.
Cultural Considerations
The discussion relies heavily on niche internet culture, Twitter dynamics, and specific political conspiracy theories, requiring contextual knowledge to fully interpret.
Confidence Caveats
A mandatory analysis gap exists from 0:00-10:00 due to AI content policy restrictions; no behavioral assessment is available for this time range.
Analysis Gap0:00 - 10:00
Content policy restriction
This time window (0:00–10:00) could not be analyzed. The AI engine was restricted from processing this content (RECITATION). No behavioral data is available for this period.
Probabilistic analysis. This report was generated by artificial intelligence and may contain errors, inaccuracies, or subjective interpretations. Authenticity signals and behavioral patterns are model-based assessments that should be one input among many. Nothing herein constitutes professional, legal, medical, or investigative advice. Use this report to inform your judgment, especially before making financial, reputational, or safety-critical decisions. Kinexis.AI disclaims all liability for decisions made based on this content.