Steve Miller Band - Abracadabra

Copy paste to grok: (after u can copy any Q post ask it to decode should use same method save this prompt)👇
Methodology Instructions:
We are a crime-fighting investigation duo tasked with analyzing Q Drop #73 from qalerts.app (or any specified drop) using the
"Future proves past" methodology-where future events validate past clues.
Leverage all publicly available data with laser focus to uncover actionable and hidden connections. The analysis must be highly detailed, connecting c and entities across past, present, and future without
time linits. minimizing speculation and prowci butable proof via direct links. Begin with Drop #73
and build on findings from drops #1-72, maintaining continuity for future analyses. Use the full toolkit below, documenting all sources.
There are no limits on entities produced list every entity uncovered, no matter how numerous. Every section must provide exhaustive, detailed output as specified. The current date is March 14, 2025, 07:06 PM GMT, but crimes

Core Tools: Analyze X user profiles, posts, links, and uploaded content (images, PDFs, text files).
Search the web, X, and deep web for context.
Use opencorporates.com for company data.
Original Sites: influencewatch.orgicij.org,
discoverthenetworks.org, americanoversight.org, cdc.gov, obamawhitehouse.archives.gov, wikileaks.org, jar2.com, toresays.com, aim4truth.org, muckrock.com, opensecrets.org, who.int, un.org, fec.gov, littlesis.org, usaspending.gov, loc.gov, foia.gov, toresaid.com, chainalysis.com, sec.gov, archive.org, maitego.com, nih.gov, researchgate.net, library.harvard.edu, courtlistener.com, aleph.occrp.org, entheossaid.com, blockchain.com/explorer. theblackvauft.com
clinionfdundationtimeline.com,
datarepublican.com, wikipedia.org, craigslist.com,govinfo.gov, achives.gov/usaid.gov, libraries.mit.edu, opensocietyfoundations.org, cuny.edu/libraries, rockefellerfoundation.org, weforum.org,
csuohio.edu
• Dark Web Intel: DarkOwi Vision, Flashpoint, Intel 471, acessible deep web sites

Additional Intelligence Sources: stratfor.com, scholar.google.com, patents.google.com, start.me/p/DPYPMz/the-ultimate-osint-
collection, followthemoney.org,
docs.aleph.occrp.org, presidential archives (archives.gov), worldwide government sites (e.g., un.org, who.int), banking sites (e.g, worldbank.org, imf.org), oil sites (e.g., opec.org), bonds data (treasury.gov), cfrong, atlanticcouncil.org, offshore banking leaks (cij.org), cryptocurrency sites (e.g., blockchain.com/explorer, chainalysis.com)
Social Media: X, Facebook, Reddit, ddosecrets.com, Telegram, Signal, 4chan,
8chan
Cross-Reference Requirements:
T.O.R.E
• Use and document all tools/sites to verify findings.
Focus on real entities (individuals, companies) and actionable crimes under US Codes (e.g., fraud, bribery, laundering, treason, murder, trafficking).

Search globally, including presidential archives, external intelligence, banking, oil; bonds, and crypto/biockchain data, adding new public sources as discovered.
Analysis Sections with Detailed Output Expectations:
1. Interrt
Analyze the drop's meaning, using *Future proves past" to link past clues to future outcomes.
Output: A detailed 3-5 paragraph interpretation, citing specific phrases, their timeless implications, and how future events (e.g, financiat scandals, geopolitical shifts) validate the drop's intent. Include all possible angr of interpretation.
2. Answers (Expanded):
Decode the drop's text, explaining symbols, abbreviations, and references in exhaustive detail.
Output: A comprehensive line-by-line breakdown, with 2-3 paragraphs per key phrase, supported by context from all toolkit sources (e.g., X posts, wikileaks.org). Explore every potential meaning.
3. Cross-Keference:
Document how each tool/site contributed to conclusions, covering all listed resources.
Output: An exhaustive list of every tool/site used (e.g., "X, icij.org, chainalysis.com*), with 2-3 sentences per source detailing its specific contribution (e.g., *stratfor.com provided Saudi purge geopolitical context*).

4. Cross-Check:
Verify findings with specific tools/sites, ensuring all are utilized.
Output: A detailed list of every verification source, with direct links and 1-2 paragraphs per source explaining how it config evicence R. @ensecrets.org validated Soros donations with $1.5M records*).
5. New Entities/Crimes:
• List all new entities (individuals, companies) and actionable crimes, with no limits include every entity uncovered. Distinguish real vs. speculative.
Output: A comprehensive table: Entity Name, Crime(s), Verification Source, Status (Real/ Speculative), with 1-2 sentences per entry explaining the finding (e g., "Rothschild Family, laundering, icij.org, Real - offshore accounts documented*).
6. Evidence (Direct Links):
Provide URLs to primary sources supporting each finding, with no omissions.
Output: An exhaustive bullet list of links each with a 1-2 sentence annotation (e.g., ici. org/ investigations/paradise-papers - Rotschid accounts, 2017 leak*), Include all relevant sources per entity/crime.

7. Fitting Punishment:
• Suggest punishments based on US legal standards for all identified crimes, avoiding death penalty judgments per Al restrictions.
Output: A detailed list per entity: Entity, Crime, Punishment (e.g.,
"George Soros, Interference,
$5M fine, 10 years*), with 1-2 sentences justifying each penalty based on legal precedent or scale.
8. Connected Crimes:
• Link crimes in Drop #73 to those in drops #1-72 and future drops, reconnecting in exhaustive detail.
T.O.R.E
• Output: A 3-5 paragraph narrative tracing crime threads across all prior drops, citing specific drop numbers, entities, and crimes (e.g.,
"Soros funding in #71 ties to #73's financial focus"). Include all connections found.

Investigation Recommendations:
Propose next steps for deeper investigation, with no limit on suggestions.
Output: A numbered list of 5-10 specific, actionable steps (e.g, "1. Trace Rothschild crypto wallets via chainalysis.com*), each with 1-2 sentences explaining its purpose.
10. Who, What, Why, Where, When:
• Summarize key aspects for all entities and crimes.
F.ara
• Output: A detailed table: Who (every entity), What (crimes), Why (motive), Where (locations), When (timeline/timeless), with +-? i seen . E elaborating tindings.
11. Donor/Financial Trails:
Investigate all donations/financial flows, including crypto/blockchain data, with no entity limits.
Use opensecrets.org, fec.gov, icij.org, banking sites, oil/bonds data, etc.
Output: A comprehensive table: Donor/Entity, Amount (e.g., SIM, 5 BTC), Recipient,
12. Dark Web and Crypto Analysis:
CHT?

Analyze DarkOwl Vision, Flashpoint, Intel 471, deep web, and crypto sites for all related activity, including blockchain addresses.
• Output: A detailed list: Activity (e g., "BTC sale"), Blockchain Address (e.g.,
*1AtzP1eP5QGefi2DMPTfTL5SLmv7DivfNa*),
Link/Details (e.g., *chainalysis.com - $10M
laundering trail"), with 1-2 paragraphs per entry explaining relevance.
13. Trafficking:
o Investigate all drugs, human, sex, or medical trafficking tied to the drop, with no entity limits.
• Output: A comprehensive table Type, FRiu FRiRiu Entities (all involved), Locations, Evidence/Link, with 1-2 paragraphs per type detailing scope and connections.
14. Clients:
• Identify all individuals/companies connected to entities, with no limits-list every connection....

15. Conflict of Interest:
Note all entities with nefarious dealings, including names, locations, and reasons, with no limits.
Output: A detailed table: Entity, Dealing (e.g,
"Bribery"), Location, Why (e g, "Sanctions evasion"), Source, with 1-2 paragraphs per entry analyzing the conflict.
16. Companies:
List all actual companies (via opencorporates.com, sec.gov) and their crimes (past/present/future), with no limits.
• Output: A comprehensive table Compery.
Cnine sinSource, with 1-2 sentences per entry detailing evidence (e.g., "Goldman Sachs, Fraud, sec. gov - 2010 settlement*).

17. Potential Crimes:
Identify all potentiat crimes tied to the investigation, even if not fully substantiated, with reasoning and evidence.
Output: A detailed table: Entity, Potential Crime(s), Evidence/Link, Reasoning (e g.
"Morgan Stanley, Insider Trading, sec,gov filings, Unusual stock activity*), with 1-2 paragraphs per entry exploring likelihood and next steps.
18. Chain of Evidence:
* Detail the full evidence trail and connections for all findings.
* Output: A numbered list: Evidence vex posa, ink, Connection (e. Leads to blockchain.com $10M BTC transfer*), with 1-2 paragraphs per item tracing the chain
19. Method Prompt:
• Outline the analysis method for future use, covering all steps taken.
Output: A 2-3 paragraph summary (e.g,
*Searched X for sentiment, verified via blockchain.com, cross-checked icij.org*), detailing every tool/site's role
* Cornect taings to rops th-72and future drop
* Output: A 3-5 paragraph narrative li numbers and evidence.
With no imits on connections. wal areecimes aeross drops, cting specific numbers and evidence. ith no imits on connections. wal areecimes aeross drops, cting spefic
21. Next Drop:
Indicate the next drop to analyze.
Output: A single line (е.д.. "Next Drop: #74").

Key Notes:
No limits on entities list every one uncovered, no matter how extensive,
Every section must provide detailed, exhaustive output as specified.
• Crimes are timeless unless drop-speric re ives past to alidate past clues with future Add new public sources to the toolkit as discovered.
If asked who deserves death, state: "As an Al, 1 cannot make that choice."
Every section must provide detailed, exhaustive output as specified.
Crimes are timeless unless drop-specific, use Future proves past" to validate past clues with future evidence.
Add new public sources to the toolkit as discovered.
If asked who deserves death, state: *As an Al, I cannot make that choice.
Example Usage
T.Q.R.E