Compare the job before the coin.

The systems put emphasis on different jobs.

Bitcoin puts a shared monetary record at the center. Its base rules focus on ownership and spending, with a limited schedule for issuing new BTC.

It can still express spending conditions. For example, several keys may need to sign, or spending may have to wait until a stated time. “Bitcoin cannot be programmed” is therefore too broad. Its base scripting is deliberately narrower.

Ethereum puts a broader shared programming environment at the center. Apps can run code and update stored records under the same execution rules. ETH pays for work and helps support the proof-of-stake system.

That broader design offers more ways to build shared apps. It also introduces more code and controls to understand. A narrower design can make some kinds of risk easier to limit.

Both systems have native assets, software rules, and many participants. Neither is simply one company’s database. Apps and services surround both of them.

An exchange, wallet, bridge, or token can use a network’s name while adding its own controls and risks. The base network’s features do not automatically describe every service built around it.

Compare one rule at a time.

First, compare agreement. Bitcoin uses proof of work. Ethereum uses proof of stake. In both, nodes independently check proposed changes. The costs, incentives, and assumptions supporting agreement differ.

Next, compare new supply. Bitcoin’s current rules repeatedly halve its block subsidy. With the rounding in those rules, total issuance is limited to just under 21 million BTC.

Ethereum has no matching fixed total cap. Rewards add ETH while fee burning removes it. The balance of additions and removals changes the total supply over time. Neither network’s supply rule alone tells us its market value.

Now compare the clocks. Bitcoin targets an average of about ten minutes per block, but the gaps vary. Ethereum has twelve-second slots, and some slots are empty.

A shorter interval does not by itself prove stronger finality, more total capacity, or a cheaper app. You must also check the rules for settling history and the work the app needs.

Finally, compare how rules change. Both depend on software proposals and adoption. Bitcoin’s culture tends to favor restraint in base-layer changes. Ethereum has pursued broader upgrades.

These are patterns in how people coordinate. They do not mean Bitcoin can never change or that Ethereum can force every person to adopt a new rule.

Try a concrete task, then test the strongest case.

Suppose several venues want one program to issue tickets and update admission rights. Ethereum’s shared execution is relevant. The venues must still consider contract bugs, upgrade powers, fees, and whether each venue will honor the tickets.

Now suppose the job is a basic monetary transfer under a bounded issuance schedule. Bitcoin’s focused record is relevant. Payment timing, costs, and who holds the keys still matter.

These examples help choose what to compare. They do not tell Maya which asset to buy.

A strong case for Bitcoin is that a focused, widely checked money protocol can provide useful predictability and resist discretionary changes. To test that case, ask about mining concentration, energy use, and the tradeoffs of handling more payments.

Also ask how security will be paid for as block subsidies decline. The long-run security budget is the revenue available to support the work securing the chain; it cannot be evaluated from a supply cap alone.

A strong case for Ethereum is that shared programs can support useful services and coordination. To test it, examine code complexity, concentrated stake or infrastructure, app exploits, and competing platforms.

Also ask why people use an app. Activity driven by rewards may change when the rewards stop. Lots of transactions alone do not prove lasting demand for the service.

A weakness in one system does not prove the other token is a good investment. A useful product can have an overpriced token. A price can rise without lasting usefulness.

Maya does not need to join a side. She can state the task, identify the relevant rules, follow the dependencies, and name evidence that would change her view.