Ron Schnell
Ron Schnell is a statistician and computer scientist with a background spanning Bell Labs Unix kernel work, IBM, Sun Microsystems, and multiple tech startups. He holds an unusual academic pedigree, having been recruited into graduate school after teaching as a professor at NYU at age 14. He served as lead technical monitor for U.S. v. Microsoft and Netscape antitrust proceedings and is a director at Berkeley Research Group, where he conducts forensic social media analysis across civil and criminal matters. Retained by Heard's legal team, he was Heard's social media data analyst for the counterclaim.
Testimony Impact
Schnell testified on Day 19 presenting Twitter API analysis showing 2.38 million negative hashtag uses against Heard from 2020–2022, with spikes correlating to Adam Waldman's alleged defamatory statements. Through three demonstrative charts, he reported that over 25% of negative hashtag tweets referenced Waldman by name and that negative volume roughly doubled after April 2020. He adopted Depp's own damages expert Doug Bania's correlation framework to validate his methodology, lending cross-party analytical weight to his conclusions. On recross, Dennison extracted the concession that all four negative hashtags predate Waldman's 2020 statements — one traceable to 2013 — and that Schnell's analysis established only mathematical correlation, not causation. A prior-statement impeachment also surfaced deposition testimony in which Schnell had said the hashtags had no connection to Waldman, a position he reversed at trial by adopting Bania's framework rather than independently deriving the conclusion.
Notable Quotes From The Record
“I was a professor at NYU when I was 14”
Establishes Schnell's exceptional early academic profile, anchoring the credential narrative Nadelhaft is constructing for the jury.
“I did work at MIT in the artificial intelligence lab for the two founders of artificial intelligence, Patrick Winston and Marvin Minsky”
Connects Schnell's early career to foundational figures in computer science, supporting his claimed depth of technical expertise.
“My business partner on that was Sylvester Stallone.”
Unexpected celebrity business association; adds color to Schnell's entrepreneurial background during credential-building.
“I don't consider myself working for either plaintiff or defendant. I take my role as an independent expert extremely seriously.”
Preemptive framing of impartiality before voir dire, anticipating Depp's team's challenge to his credibility as a retained defense expert.
“There were over 1,243,000 and change uses of those hashtags during that time frame you just mentioned.”
States the headline volume figure for negative hashtags against Heard from April 2020 through January 2021.
“I found that there are Waldman statements that are the same as on the 8th on the 6th and the 7th, the Daily Mail on the 6th and Vanity Fair on the 7th.”
Establishes that Waldman statements predated the April 8, 2020 date cited as the start of the alleged defamatory conduct, complicating the timeline.
“So I found over 25 percent of In the negative hashtag tweets, or one out of every four on average, had either "Waldman" or I "Wald-Mignon."”
Key statistical finding linking Waldman's name directly to the volume of negative social media activity against Heard.
“I sort of adopted Mr. Bania's opinion on that and found this large number. So I agree with Mr. Depp's expert that this could show a substantial correlation.”
Heard's expert expressly endorses the analytical framework of Depp's own damages expert, lending cross-party methodological weight to the correlation finding.
“People can form a negative opinion of anyone without reading anything; that's correct.”
Schnell concedes that anti-Heard sentiment requires no exposure to Waldman's statements, undermining the causal link central to Heard's damages theory.
“I'm only talking about correlation.”
Schnell's own words define the ceiling of his analysis — mathematical correlation only, no causal claim — limiting the evidentiary weight of his charts.
“Big fan of justice.”
Schnell's closing answer, prompted by Dennison's question about whether justice is a good thing, provides a wry coda after a pointed cross suggesting 'justice for Johnny Depp' is not inherently negative toward Heard.
“All of them.”
Schnell's unqualified answer that every 'justice for Johnny Depp' tweet sampled was negative toward Heard.
“Over 25 percent, 1 out of 4.”
Restates the core Waldman-correlation figure after cross-examination challenges.
“I don't see any end to it now.”
Schnell extends his finding past the formal analysis window, suggesting ongoing and unabated negative sentiment.
“No, they've not.”
Direct confirmation that cross-examination did not alter any of Schnell's expert opinions.
Key Moments
Schnell establishes his unusual credentials — including teaching at NYU at age 14 and leading the six-and-a-half-year technical monitorship for U.S. v. Microsoft — before being tendered as Heard's expert in social media forensic analysis.
Day 19 · Direct of Ron Schnell
Judge Azcarate limits Dennison's voir dire to qualifications only, cutting off his attempt to probe whether Schnell's analysis connected to Waldman's statements before Schnell could even begin substantive testimony.
Day 19 · Voir Dire of Ron Schnell
Schnell presents Demonstrative 1900, a monthly hashtag volume chart, identifying spikes correlating with Waldman's statements and reporting 2.38 million total negative hashtag uses against Heard across the full analysis window.
Day 19 · Direct of Ron Schnell
Schnell finds Waldman statements in the Daily Mail and Vanity Fair predating the April 8, 2020 start date, then expressly adopts Depp expert Bania's correlation framework — concluding both experts agree a 'substantial correlation' exists.
Day 19 · Direct of Ron Schnell
Demonstrative 1902 reveals 81,121 uses of 'hoax,' 'fake,' or 'fraud' within the negative hashtag corpus, and over 25% of negative tweets — one in four — referenced 'Waldman' or 'Wald-Mignon.'
Day 19 · Direct of Ron Schnell
Dennison confronts Schnell with deposition testimony in which he said the four hashtags had no connection to Waldman, directly contradicting his trial position, which he attributes to adopting Bania's expert disclosure after the deposition.
Day 19 · Recross of Ron Schnell
Schnell concedes all four hashtags predate Waldman's first statement — 'justice for Johnny Depp' traceable to 2013 — and confirms he can show only mathematical correlation, not causation, and cannot explain why specific spikes occurred.
Day 19 · Recross of Ron Schnell
On redirect, Schnell reaffirms that every sampled 'justice for Johnny Depp' tweet was negative toward Heard, that over 25% of negative tweets cited Waldman, and that cross-examination changed none of his expert opinions.
Day 19 · Redirect of Ron Schnell
Evidence From Their Proceedings (5)
Schnell Social Media Hashtag Analysis / Dataset
Ron Schnell's social media analysis and underlying Twitter API dataset tracking negative hashtag tweets against Heard from April 2020 through January 2021 and into 2022, tracking…
Catalog entry →Demonstrative 1900 — Monthly Negative Hashtag Bar Chart
Demonstrative 1900 — a monthly bar chart of negative hashtag volume against Heard and Depp from April 2020 through January 2021, derived from Twitter search API data.
Catalog entry →Demonstrative 1901 — Extended Hashtag Line Graph
Demonstrative 1901 — a line graph of the same hashtag data extended through January 2022, with the dominant 'Justice for Johnny Depp' hashtag removed for scaling clarity.
Catalog entry →Schnell Hashtag Timeline Chart — Negative Volume 2020–2022
A demonstrative chart of negative hashtag usage over time from 2020 to 2022, showing volume spikes intended to be correlated with Waldman statement dates, presented during…
Catalog entry →Schnell Term-Frequency Chart — 'Hoax,' 'Waldman' (Dem. 1902)
An admitted demonstrative chart prepared by social media analyst Ron Schnell showing term-frequency searches for 'hoax,' 'fake,' 'fraud,' 'Waldman,' and 'Wald-Mignon' within the…
Catalog entry →