
A bit is the smallest unit of information, representing either 0 or 1. On blockchains, every address, transaction, hash, and signature is ultimately a sequence of bits assembled together as data. Without bits as the fundamental building blocks, data could not be precisely stored, transmitted, or verified.
From an application perspective, elements like “transaction size,” miner fees or gas, and QR code address encoding are all directly determined by the number of bits involved. Understanding bits helps explain why fees fluctuate, why storing data on-chain is expensive, and how signatures safeguard security.
One byte equals eight bits. You can think of a byte as a small box containing eight switches—each switch is a bit. Combining multiple bytes allows more complex data to be stored, such as addresses or transaction records.
For example: If a transaction has a size of 250 bytes, it contains 250 × 8 = 2000 bits. These 2000 bits are the “information grains” that the network must transfer and verify. The more grains there are, the higher the bandwidth and storage consumption—and usually, the higher the cost.
A hash acts as a “fingerprint” for data, compressing any input into a fixed-length sequence of bits. For instance, SHA-256 outputs a result of 256 bits. More bits allow for more possible states, dramatically lowering the chance of collisions (where two different pieces of data produce the same fingerprint).
Addresses are also identifiers constructed from bits. On Ethereum, an address is 20 bytes (160 bits), derived from hashing and truncating a public key. On Bitcoin, addresses appear in various formats (such as Base58 or Bech32), but at their core, they’re combinations of bytes and bits encoded for readability and verification.
Transaction fees are directly tied to transaction size. In Bitcoin, the standard measurement is vByte (“virtual byte,” used for fee calculation). The fee formula is: Fee = Transaction Size (vByte) × Rate (satoshis/vByte). Larger transactions use more bits, typically resulting in higher fees.
Step 1: Estimate transaction size—including input and output counts and whether SegWit is used. Standard transfers usually range from 150–300 vBytes.
Step 2: Choose a fee rate. The rate fluctuates with network congestion. During peak periods in 2024–2025, rates may reach dozens or even hundreds of satoshis per vByte; during quieter times, rates can be single-digit to low double-digit satoshis.
Step 3: Calculate fees. For example: 200 vBytes × 30 satoshis/vByte = 6,000 satoshis (0.00006000 BTC). With this, you can decide whether to wait for lower congestion or pay a higher rate for faster confirmation.
On Ethereum, computation and data are billed as gas fees, with external call data (“calldata”) priced per byte. Since the Istanbul upgrade (EIP-2028, 2019)—still valid through 2025—each non-zero byte costs 16 gas, each zero byte costs 4 gas. More bytes transmitted means more bits and higher gas costs.
Example: Passing 100 non-zero bytes as parameters in a call would cost 100 × 16 = 1,600 gas for calldata alone. Total fee = total gas × basefee; basefee is denominated in gwei and fluctuates per block. If total gas is 25,000 and basefee is 15 gwei, then the fee is about 25,000 × 15 gwei.
Additionally, contract storage is more expensive than temporary data transmission. For example, writing a variable to storage (SSTORE) incurs high costs; minimizing and optimizing the number of bytes and bits written can significantly reduce expenses.
The “bit length” of a key determines how difficult brute-force attacks are. For example, with secp256k1 (an elliptic curve commonly used), private keys are 256 bits—meaning the possible combinations are astronomically large and nearly impossible to guess by brute force.
Mnemonic phrases also have “bit entropy.” A standard 12-word mnemonic provides about 128 bits of randomness; 24 words provide roughly 256 bits. Higher bit-level randomness makes guessing harder—as long as you keep your mnemonic secure and don’t expose it to public spaces or photos.
Optimization focuses on reducing unnecessary byte and bit usage to lower gas and storage costs.
First, pack variables efficiently. Ethereum storage slots are 32 bytes (256 bits). Grouping several small-type variables (like uint8 or bool) into one slot cuts down on write operations and saves gas.
Second, minimize data size. Use compact bytes representations rather than lengthy strings; if parameters can be passed as readonly calldata, avoid copying them to contract storage.
Lastly, limit on-chain information. Most NFT metadata resides off-chain (e.g., on IPFS), with only a few bytes stored on-chain pointing to those links. Uploading large images or long texts directly on-chain massively increases bit count and cost; it also requires careful consideration due to permanence.
Bits impact many practical details you’ll encounter.
First: Deposit and withdrawal addresses. Gate displays addresses and QR codes by encoding bytes and bits into readable forms. Always verify that the chain name matches—otherwise identical characters may represent incompatible bit structures across chains, risking irretrievable funds.
Second: Withdrawal network and fees. When choosing the Bitcoin network, fees depend on transaction size (number of bits); platforms offer dynamic rates accordingly. On Ethereum or EVM chains, more data bytes mean higher gas costs—complex contract interactions will be pricier.
Third: Memo/tag information. Some chains require filling out Memos or Tags—these are part of the byte data too. Missing or incorrect entries can misdirect assets to wrong addresses.
Bit-level risks focus on irreversibility and visibility. On-chain data is public and long-lasting; once you encode personal information or key fragments as bits on-chain, deletion becomes nearly impossible. Never upload sensitive personal info or secret keys.
Compression can reduce bit count but isn’t risk-free. Excessive compression or custom encoding may make data hard to parse or introduce security flaws. Over-packing variables to save bits in smart contracts may hurt readability and auditability—increasing error risk.
In terms of fund safety: Mistyped address encoding, missing essential byte fields (like Memo), or misunderstanding transaction size/fee relationships can delay confirmations or render assets unrecoverable. Always double-check chain names, addresses, and required fields before sending.
Bits are the smallest units of blockchain data—essential for addresses, hashes, signatures, and transaction sizes. Knowing that one byte equals eight bits lets you better estimate Bitcoin fees, Ethereum gas costs, and contract storage expenses. Higher bit counts typically mean greater security—as long as keys are managed properly. Applying best practices like “only put necessary data on-chain” and “compress efficiently” helps you avoid pitfalls on platforms like Gate and make stronger decisions in development and investment.
Bitcoin is a cryptocurrency; a bit is the smallest unit of information in computing—they’re entirely separate concepts. Bitcoin’s price and transactions are denominated in fiat currencies and have no direct link to how bits store data. It’s important to distinguish these terms to avoid confusion when learning blockchain fundamentals.
All blockchain data—addresses, hashes, signatures—are ultimately stored and represented as bits. Understanding bits is key to grasping blockchain architecture: why an address might be 256 bits long or why transaction size affects fees. You’ll encounter bit calculations when viewing transaction details on platforms like Gate.
A typical Bitcoin address consists of 256 bits (32 bytes). These 256 bits are generated via specific cryptographic algorithms to ensure uniqueness and security. Knowing this helps you appreciate how much information lies behind seemingly short addresses.
The amount of transaction data is measured in bits; more data means more bits consumed—and in congested networks, higher fees. For instance, a complex transaction may occupy 1,000 bits of block space compared to a simple one with just a few hundred bits—leading to fee differences. Understanding this relationship helps optimize your transaction timing on Gate.
Blockchain storage is limited and costly; both contract code and data consume space measured in bits. Developers optimize at the bit level to reduce deployment size, lower gas costs, and boost efficiency—crucial for complex contracts such as NFTs or DeFi apps. Careful bit optimization can significantly lower user costs.


