- Prologue: A Promise to the Persona
- Three-line summary (overview first)
- Section 1: Why this topic matters now
- Section 2: What exactly does “inherit” mean?
- Section 3: The numbers behind “L2s today”
- Section 4: A business-ready view of “security” (Checklist)
- Section 5: Decision-making framework for marketing & business
- Section 6: Common myths vs. the right view
- Section 7: Speeding decisions with “two options” and “exit criteria”
- Section 8: Practical scenarios
- Section 9: Re-checking the points (based on primary sources)
- Section 10: 90-day action plan (learn at minimal cost)
- Section 11: FAQ (for non-engineers)
- Conclusion: Fear the right things, test the right way
Prologue: A Promise to the Persona
Intended readers: People not familiar with Web3 but responsible for digital initiatives in brand/business (marketing, PR, biz dev, product lead).
Today’s goal: Without diving too far into technical details, be able to answer on the spot: “Are L2s safe enough to use?” and “What about budget and KPIs?”
How we’ll learn: At the end of each section, four characters (Rahab / Moka / Rachel / John) give a “chewed-down” summary in dialogue form.
Three-line summary (overview first)
Saying “L2s inherit ETH’s security” is an overstatement; depending on design, risks and centralization can remain.
Cointelegraph
The number of L2s is exploding. Some see it as healthy growth and decentralization; others see it as squeezing L1 revenues.
Cointelegraph
For businesses, “all L2s are the same” is false—you must assess with a practical checklist: operational authority, bridges, and withdrawal safety.
Three-line Summary (Overview)
Key Points Diagram
Section 1: Why this topic matters now
Solana co-founder Anatoly Yakovenko said, “The claim that L2s inherit ETH’s security is wrong.” He cited three reasons: a broader attack surface on L2s, very large codebases, and asset management via multisig (keys held by multiple signers), which in extreme cases could allow funds to move without explicit user consent.
Cointelegraph
• Mini glossary
Multisig: A wallet setup where multiple people hold keys and a transaction goes through only if a specified number sign. It’s convenient, but if the authority design is poor, there remains room for assets to move according to “people factors.”
Dialogue among the four
Rachel: So it’s not “automatically safe,” right?
John: Right. Some designs leave human operational authority in the loop.
Rahab: Bigger attack surface = more entry points, which are harder to defend.
Moka: Which is why “L2 = as safe as ETH” can be a hasty conclusion.
Cointelegraph
Section 1: Why this matters now
Security Debate Map
Section 2: What exactly does “inherit” mean?
Typically, an L2 uses Ethereum L1 as the final “arbiter,” partially leveraging L1’s strong security. However,
Which parts and under what rules it relies on L1 depend on the approach (Optimistic rollups / ZK rollups, etc.).
Depending on the design of bridges, operators, and upgrade authority, the ultimate safety changes.
In short, “L2 = same strength as L1” is an oversimplification. Yakovenko’s point targets precisely this design gap.
Cointelegraph
Dialogue among the four
John: Think baseball—L1 is the umpire; L2s are the teams. Rules may be similar, but sloppy team operations lead to more errors.
Rachel: Even with an umpire, if the bench is a mess, the game falls apart.
Rahab: Operational authority and bridge quality are the “bench strength.”
Moka: Businesses need the eye to pick which team to join.
Section 2: What does “inherit” mean?
Schematic of L1 Dependency Points
Section 3: The numbers behind “L2s today”
Even by L2Beat’s count alone, there are 129 confirmed Ethereum L2s and 29 unverified. Some criticize this as “too many,” while others argue diversity is healthy. Another analysis notes L2 proliferation is eating into L1 revenues.
Cointelegraph
• Mini glossary
L1 revenue: Mainly transaction fees (gas). If activity moves to L2, direct L1 revenue can decline.
Dialogue among the four
Rachel: More platforms mean more user choice—but more chances to get lost.
Rahab: Choice also spurs competition in quality—that’s a plus.
John: On the other hand, liquidity can fragment.
Moka: For business, decide based on “where our customers are” and “integration cost.”
Cointelegraph
Section 3: L2 by the Numbers (Today)
Visualizing Count & Impact
Section 4: A business-ready view of “security” (Checklist)
Rather than “Is it technically perfect?”, ask “Is the operational design acceptable for our brand?”
A. Operational authority
Who holds multisig, how many signers, and under what conditions can emergencies be handled?
Key rotation, audits, and disclosure policy.
Cointelegraph
B. Bridges (asset entry/exit)
Who runs the bridge? Audit status? Past incidents and prevention measures.
Any delay/hold risk when withdrawing (L2 → L1)?
Cointelegraph
C. Data availability and verification
Are transaction data sufficiently recorded on L1 so anyone can verify?
Is there a fallback (safe shutdown procedure in failures)?
D. Ecosystem health
Transaction volume, developer activity, support by major wallets/exchanges.
Vendor lock-in risk (being tied to one implementation).
Dialogue among the four
Rahab: Attack surface is the “number of entrances.” More entrances → more guards needed.
John: Human authority in multisig can be both risk and shield—depends on design and ops rules.
Rachel: Use the checklist and count the red flags.
Moka: If there are three or more reds, consider another option.
Section 4: Practical Security Checks
Evaluation Table (count red flags)
| Aspect | What to check | Rating | Note |
|---|---|---|---|
| Operational authority | Multisig setup/rotation/disclosure | Red | Poor signer distribution |
| Bridge | Operator/audits/incident history | Amber | Need to verify prevention measures |
| Data availability | Third-party verification/fallback | Green | Scope of L1 posting is clear |
| Ecosystem | TX volume/devs/major wallets | Green | Supported by major exchanges |
Section 5: Decision-making framework for marketing & business
RPG_Keyword:d2ef7esd
State the objective in one sentence: e.g., “Create two touchpoints per month with NFT holders.”
User journey: Map onboarding (learning), action, and reward on paper.
Tech selection: Compare two options with the checklist (L2 A / L2 B).
KPIs:
• On-chain participation rate (vs target users)
• Actions per user
• Retention (re-participation after N days)
• Cost per outcome (tx fees + operating costs)
Budget allocation:
• Initial: proof-of-concept costs (small coupons/NFTs), audits, support
• Operations: community management, customer support, analytics stack (e.g., Dune)
• Risk handling: emergency halt criteria, refund/compensation rules, PR templates
Dialogue among the four
Rachel: I want to weight “re-participation rate” the most.
Moka: Yep—relationship quality over short-term mint counts.
Rahab: Draft the refund/compensation template before launch.
John: Operations before tech. This is what tests are made of.
Section 5: Decision Framework
Goal → Journey → Tech → KPIs → Budget → Risk
Section 6: Common myths vs. the right view
Myth 1: “L2 = exactly as secure as ETH.”
→ Depends on design. Multisig operations and bridge quality create differences.
Cointelegraph
Myth 2: “More L2s = bad.”
→ There’s also a view that diversity is healthy; the real issue is how you choose.
Cointelegraph
Myth 3: “Moving to L2 is always cheaper.”
→ Often cheaper, but people forget costs for withdrawal, bridges, and support.
Myth 4: “If big brands use it, it must be safe.”
→ Early adoption ≠ safety. Check operational authority, audits, and ability to respond in incidents.
Dialogue among the four
Moka: The three keys are “who,” “how far,” and “when” they can move funds.
Rahab: Especially transparency of emergency authority.
John: Read the design docs and ops structure, not just the tech brand name.
Rachel: If reading is painful, paying a security PM for a day is cheaper.
Section 6: Common Misconceptions & the Right View
Myth → Reality
Section 7: Speeding decisions with “two options” and “exit criteria”
How to form the two options:
• Option A = realistic, close to “adopt”
• Option B = deliberately stricter (minimal authority, audits required, withdrawal guarantees)
Compare the gap. If requirements can’t be met, define the exit criteria up front.
Sample exit criteria:
• Audit reports for critical components aren’t delivered on time
• Multisig setup isn’t disclosed / no rotation plan
• Withdrawal (L2 → L1) halts for over 24 hours in testing
Dialogue among the four
John: Decide exit criteria before any announcement.
Rachel: Drafts written after a blow-up are usually late.
Moka: So PR templates first, too.
Rahab: Crisis management is “80% prep, 20% live.”
Section 7: Two Options & Exit Criteria
Selection Matrix (Option A vs Option B)
| Metric | Option A (pragmatic) | Option B (strict) |
|---|---|---|
| Minimize authority | Medium | High |
| Audits required | Optional | Required |
| Withdrawal guarantee (test) | 48h | 24h |
| Integration cost | Low | Medium |
| Exit criterion | Threshold |
|---|---|
| Audit incomplete | No report within deadline |
| Authority undisclosed | Unknown multisig setup/rotation plan |
| Withdrawal halted | Reproduced >24h halt in testing |
Section 8: Practical scenarios
- Member rewards NFTs
Low-value perks × high-frequency actions. Choose an L2 with stable fees.
KPIs: issued count / active rate / revisit rate / CS inquiry rate.
- Community voting
Bot prevention and consistency in re-votes. Clearly state how results are published (link to L1 data).
- In-store × on-chain promotion
Store ops first. Time for wallet creation → first receipt, staff training, and checkout congestion mitigation are also KPIs.
Dialogue among the four
Moka: In-store, “QR → tap → received” within 30 seconds is ideal.
Rachel: Users bounce in seconds.
John: That’s more important than which tech you pick.
Rahab: In the end, the winner is what doesn’t get in the customer’s way.
Section 8: Use Cases & Practical Scenarios
1) Member Reward NFTs (KPI examples)
| KPI | Description | Progress |
|---|---|---|
| Issued count | Distribution completion among target members | |
| Active rate | Share of active users in last 30 days | |
| Revisit rate | Re-participation after N days | |
| CS inquiry rate | Inquiries per 1,000 users |
2) Community Voting (transparency diagram)
3) In-store × On-chain Linkage (30s UX)
Section 9: Re-checking the points (based on primary sources)
Yakovenko noted the broad L2 attack surface, huge codebases, and multisig-related fund movement risk.
Cointelegraph
He rebutted the claim that “L2s inherit ETH security,” comparing Wormhole ETH with ETH on Base and discussing “similar worst-case risks.”
Cointelegraph
The number of L2s is surging; concerns about “too many” coexist with arguments that it’s healthy growth.
Cointelegraph
There’s also analysis that L2 growth pressures L1 revenues.
Cointelegraph
Section 9: Primary-source Summary of Key Points
Evidence Mapping
Section 10: 90-day action plan (learn at minimal cost)
Day 1–7: Internal alignment
One-sentence objective, draft KPIs, exit criteria. Clarify roles (R/A/C/I).
Day 8–21: Pre-research on tech options
Desk-compare 2–3 options with the checklist. Count “red flags” for audits/authority/withdrawals.
Day 22–45: PoC (small-scale test)
Limited experiment with 100–300 existing customers. Run CS in parallel.
Weekly report: participation / re-participation / inquiry contents / recurrence prevention steps.
Day 46–60: Evaluate & pivot
Withdrawal tests, incident-response drills, finalize PR templates.
Re-balance budget (L2 fees < CS/education costs in many cases).
Day 61–90: Mini production start
Stage rollout by region or member segment. Document wins and fails openly.
Dialogue among the four
Rachel: In PoC, don’t forget to measure delight.
Moka: Joy drives repetition—make it a KPI.
John: Tech success rides on CS.
Rahab: Quiet operations prevent loud fires.
Section 10: 90-day Action Plan
Timeline (Day 1 → 90)
Section 11: FAQ (for non-engineers)
Q: So, are L2s dangerous after all?
A: You can’t generalize. Safety varies by design and operations. Compare the trio: authority, bridge, and withdrawals.
Cointelegraph
Q: Which L2 should we pick?
A: Make a two-option comparison using: where your customers are × transparency of operational authority × withdrawal safety. Choose the one with fewer red flags.
Q: What about costs?
A: Gas may be lower, but education/CS/audit and other surrounding costs matter. Budget more for “operations that don’t break the experience.”
Q: Internal explanation is hard.
A: Turn this article’s checklist and 90-day plan into slides as-is. Lead with “operational rules,” not tech brand names.
Section 11: FAQ (for non-engineers)
Q&A Table
| Question | Key point |
|---|---|
| Are L2s risky? | No blanket answer; judge by the trio of authority / bridge / withdrawals |
| Which L2 to choose? | Where customers are × transparency × withdrawal safety |
| Rough cost? | Gas + CS/education/audits and other surrounding costs |
| How to explain internally? | Reuse the diagrams here (checklist / 90-day plan) |
Conclusion: Fear the right things, test the right way
“Inherit = equal” is hasty. We anchored on primary info showing design and operations are the keys.
Don’t be fooled by the “mask of safety.” Build the habit of counting red flags with a checklist.
Test small while defining both your path to victory and your exit yardsticks—that’s the shortest route.
Final dialogue among the four
Rahab: Safety doesn’t arrive from “principles” alone—it’s built by operations.
Moka: Loved experiences start from feeling safe.
Rachel: Our KPI is “Do they want to come back?”
John: And the strongest security is doing tomorrow what we decided today.


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