Carson Block · research-note
Joyy Inc. (YY)
71 pages · 3 arc beats · 3 loops
Joyy Inc. (YY)
Carson Block · 2020-11 arc beats above · slides in the middle · loops below · scroll → 3 LOOPS
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Deck intelligence map
3 coverage by narrative range · generated from this deck JSON
Narrative range 107 total
Metadata
Components
Metrics
Tools
Frameworks
Beats
Loops
Expose Contradiction 68 slides 100% 68/68 slides 100% 68/68 slides · 506 hits — 0/68 slides
5.9% 4/68 slides · 6 hits 55.9% 38/68 slides 100% 68/68 slides · 107 hits 27.9% 19/68 slides Appendix Methodology 3 slides 100% 3/3 slides 100% 3/3 slides · 24 hits — 0/3 slides
— 0/3 slides
100% 3/3 slides 100% 3/3 slides · 6 hits — 0/3 slides
Appendix Data 36 slides 100% 36/36 slides 100% 36/36 slides · 263 hits — 0/36 slides
8.3% 3/36 slides · 5 hits 50% 18/36 slides 100% 36/36 slides · 72 hits 19.4% 7/36 slides Slide inventory
71 every slide · same image gating as the playbook
02
The slide uses a confrontational tone to frame the company as a fraudulent entity, contrasting it with Baidu's public ethics statement.expose_contradiction
04
This slide presents a series of investigative findings regarding corporate fraud, specifically focusing on revenue inflation and fake user activity.expose_contradiction
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06
Includes table of contents snippets at the top and detailed footnotes regarding methodology.summarize
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07
The text describes the use of a third-party database (Xiaohulu) and custom web scraping to validate YY's internal accounting.analyze_data
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08
The slide details the identification of fraudulent gift revenue by linking PU IDs to YY-controlled internal network IPs and shared IMEIs.analyze_data
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09
The slide uses a table to quantify identified FUs and a visual case study to demonstrate how the platform incentivizes fake activity.expose_contradiction
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10
The slide uses a specific case study of 'Platform Angels' and a Wuhan-based sampling methodology to validate the claim of widespread platform manipulation.expose_contradiction
11
Includes screenshots of YY's own promotional material as evidence of the claim being contradicted.expose_contradiction
12
The slide uses a combination of quantitative data tables and qualitative analysis of bot behavior to support a fraud thesis.expose_contradiction
13
The slide uses a specific case study to illustrate broader platform fraud, citing specific sampling methodology and statistical confidence intervals.expose_contradiction
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14
The slide uses a screenshot of a live-streaming interface to prove that gifts were being sent to a channel that was not broadcasting.expose_contradiction
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15
The slide combines a dashboard visualization of gift data with a text-based case study exposing fraudulent revenue practices.analyze_data
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16
The slide uses investigative evidence to expose fraudulent gift inflation on the YY platform.expose_contradiction
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17
The slide uses a screenshot of a third-party analytics platform (Xiaohulu) to demonstrate fraudulent revenue patterns.expose_contradiction
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18
The slide uses forensic accounting on IMEI data to link specific user accounts to a performer, exposing a net cash outflow discrepancy.expose_contradiction
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19
The slide uses a specific case study to illustrate a broader claim of fraudulent activity (revenue inflation) via shared device identifiers.expose_contradiction
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20
The slide uses data tables to demonstrate fraudulent revenue inflation through shared device IDs (IMEIs) between performers and top paying users.expose_contradiction
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21
The slide highlights a specific case (Ruitiantian) where a performer and their top contributor share an IMEI, implying they are the same entity or closely linkeexpose_contradiction
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22
Includes a case study of performer ShenMan and a table detailing net cash outflows for a specific user group.expose_contradiction
23
The slide highlights a discrepancy between the streamer's inactivity (no broadcasts) and the continued flow of gifts, suggesting fraudulent activity.expose_contradiction
24
Includes a line chart of gift volume, a pie chart of gift value segmentation, and a leaderboard of top gift-givers.expose_contradiction
25
Uses a specific case study (Cuiazha) to illustrate broader platform-wide revenue inflation allegations.expose_contradiction
26
Includes a screenshot of a news article about Liu Yishou's return to the YY platform.illustrate_case
27
Includes a screenshot of the YY platform and a footnote regarding VPN usage in China.expose_contradiction
28
The slide uses data from three specific IP addresses (59.45.170.206, 59.45.170.213, 59.45.170.216) to show consistent gifting patterns to the same performers.expose_contradiction
29
This slide is a narrative-heavy research note detailing allegations of corporate fraud and revenue manipulation.expose_contradiction
30
Includes a table of top 11 channel owners and a case study on 'Killing Time' (Dafashijian) bot activity.expose_contradiction
31
The slide uses screenshots of internal data dashboards to contrast normal gifting patterns with those originating from a localhost IP, suggesting bot activity.expose_contradiction
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32
Includes screenshots of dashboard metrics and raw transaction logs highlighting IP address anomalies.expose_contradiction
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33
Includes a data table showing IP address logs and a profile screenshot of the 'Orange Juice' account.analyze_data
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34
Includes a recruitment ad for room managers and a dashboard screenshot showing high-volume gifting activity from a single user.expose_contradiction
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35
Includes a screenshot of a dashboard and a data table highlighting local host IP usage.expose_contradiction
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36
The slide presents evidence of bot-like behavior through IP address switching and local host IP usage in transaction logs.analyze_data
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37
The slide presents evidence of potentially fraudulent or manipulated user location data, suggesting YY-controlled FUs (Fake Users) are masking their true locatianalyze_data
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38
The slide uses a forensic research approach to expose fraudulent activity (bot farms) by analyzing IP patterns and gift-giving behavior.expose_contradiction
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39
Includes forensic analysis of IP addresses in Heihe and specific user activity patterns indicating VPN usage.expose_contradiction
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40
This page is a text-heavy research note detailing fraudulent activity (bots, circular revenue) in YY's dating channels.expose_contradiction
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41
The slide provides evidence of high-earning performers and estimates total revenue potential for the dating channel category.analyze_data
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42
This is a page from a short-seller research report (Muddy Waters Research).expose_contradiction
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43
The slide uses a red box to highlight a specific discrepancy in 'Long-term deposits'.expose_contradiction
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44
The slide uses two tables to reconcile total cash balances against specific onshore WFOE credit report data to infer offshore cash holdings.analyze_data
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45
The slide uses a forensic accounting approach to identify a discrepancy of RMB 1.326 billion, suggesting potential capital control violations or fabricated cashanalyze_data
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46
This is a page from a short-seller research report (Muddy Waters Research).expose_contradiction
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47
The slide uses a social media post as evidence to contrast the platform's 'Most Popular' award with the observed low-quality content.illustrate_case
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48
The slide uses screenshots as evidence of 'non-performance' (e.g., filming a wall/ceiling) to suggest fraudulent or artificial activity.expose_contradiction
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49
The slide documents fraudulent behavior (circular economy) within the Bigo platform ecosystem.expose_contradiction
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50
The slide uses tables to demonstrate circular flow of 'beans' (virtual currency) between accounts.expose_contradiction
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51
The slide uses screenshots of the Bigo Live app to demonstrate a 'swap' of profiles, implying potential manipulation or fraudulent activity.expose_contradiction
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52
Includes a screenshot of Bigo's FAQ regarding Bigo ID changes as evidence of policy contradiction.expose_contradiction
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53
The slide uses a 'bottom-up' revenue buildup to expose a discrepancy between reported figures and estimated actuals, highlighting a growing gap over time.analyze_data
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54
The slide uses a forensic accounting/investigative research tone to expose alleged fraud.expose_contradiction
55
The slide uses legal documentation to contrast the incorporation date (Sept 2014) with David Li's personal investment date (Dec 2014).expose_contradiction
56
The slide uses legal documentation to frame a narrative of corporate malfeasance and financial manipulation.expose_contradiction
57
This slide functions as a forensic accounting narrative, citing specific SEC filings and financial restatements to support allegations of fraud.expose_contradiction
58
The page includes two footnotes detailing specific interview sources and clarifying bot audience numbers for the 'Livehouse' channel.expose_contradiction
59
The slide uses a before-and-after comparison of a user profile to highlight potential manipulation of platform statistics.expose_contradiction
60
Includes a screenshot of a Bigo user profile and a critique of financial reporting discrepancies.expose_contradiction
61
The slide uses investigative findings to challenge the nature of Bigo's PRC revenue, attributing it to specific apps rather than general Bigo Live usage.analyze_data
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62
The slide uses a calculation table to derive implied PRC revenue and then transitions into a narrative critique of the 'Hello' app's legitimacy.analyze_data
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63
Includes screenshots of the Hello app interface and a SAIC corporate registration record for Baiguoyuan Networks.expose_contradiction
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64
The slide uses a screenshot of a 2017 blog post to demonstrate that Hello users were instructed to link their YY accounts for payment, suggesting common managemexpose_contradiction
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66
Includes screenshots of dashboard metrics for two distinct time periods (expanded and lockdown).analyze_data
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67
The slide includes a table of raw transaction data and a detailed explanation of the XHL data source, including its reliability and ownership.analyze_data
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68
The slide presents a forensic accounting argument by comparing third-party data against official company filings to highlight anomalies.expose_contradiction
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69
Includes detailed footnotes regarding Sensor Tower's data collection practices.appendix
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70
Includes references to Netflix migration documentation and Kingsoft Cloud constraints.diagnose_problem
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71
The slide explains how internal IP addresses are exposed when a VPN connection fails, revealing the bot's origin.illustrate_case
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